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ORCIDJiawei Han 0001
韩家炜
Person information
- affiliation: University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA
- affiliation (former): Simon Fraser University, School of Computing Science, Canada
- unicode name: 韩家炜
- award (2009): W. Wallace McDowell Award
Other persons with the same name
- Jiawei Han (aka: Jia-Wei Han) — disambiguation page
- Jiawei Han 0002
![[0000-0003-1956-5012]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1956-5012")
— Tianjin Normal University, Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, China (and 1 more) - Jiawei Han 0003 — Northwestern Polytechnical University, Xi'an, China
- Jiawei Han 0004 — Zhejiang University, Qiushi Academy for Advanced Studies, Hangzhou, China
- Jiawei Han 0005 — Chongqing University of Post and Telecommunications, Chongqing Key Lab of Mobile Communications Technology, China
- Jiawei Han 0006 — Jilin University, College of Computer Science and Technology, Changchun, China
- Jiawei Han 0007 — National Engineering Research Center for Information Technology in Agriculture, Beijing, China
- Jiawei Han 0008 — Beijing Institute of Technology, School of Optics and Photonics, China
- Jia-Wei Han 0009 (aka: Jiawei Han 0009) — Beijing Academy of Agricultural and Forestry Sciences, Beijing, China
- Jiawei Han 0010 — Xi'an Jiaotong University, China
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2020 – today
- 2024
[j205]Martin D. Burke, Scott E. Denmark, Ying Diao, Jiawei Han, Rachel D. Switzky, Huimin Zhao:
Molecule Maker Lab Institute: Accelerating, advancing, and democratizing molecular innovation. AI Mag. 45(1): 117-123 (2024)- [j204]Bowen Jin, Gang Liu, Chi Han, Meng Jiang, Heng Ji, Jiawei Han:
Large Language Models on Graphs: A Comprehensive Survey. IEEE Trans. Knowl. Data Eng. 36(12): 8622-8642 (2024) - [j203]Zhizhi Yu, Di Jin, Jianguo Wei, Yawen Li, Ziyang Liu, Yue Shang, Jiawei Han, Lingfei Wu:
TeKo: Text-Rich Graph Neural Networks With External Knowledge. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14699-14711 (2024) - [c803]Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han:
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains. AAAI 2024: 19606-19614 - [c802]Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han:
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. ACL (Findings) 2024: 163-184 - [c801]Yizhu Jiao, Sha Li, Sizhe Zhou, Heng Ji, Jiawei Han:
Text2DB: Integration-Aware Information Extraction with Large Language Model Agents. ACL (Findings) 2024: 185-205 - [c800]Xianrui Zhong, Yufeng Du, Siru Ouyang, Ming Zhong, Tingfeng Luo, Qirong Ho, Hao Peng, Heng Ji, Jiawei Han:
ActionIE: Action Extraction from Scientific Literature with Programming Languages. ACL (1) 2024: 12656-12671 - [c799]Qingyun Wang, Zixuan Zhang, Hongxiang Li, Xuan Liu, Jiawei Han, Huimin Zhao, Heng Ji:
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction. EACL (Findings) 2024: 1-16 - [c798]SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu:
Taxonomy-guided Semantic Indexing for Academic Paper Search. EMNLP 2024: 7169-7184 - [c797]Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han:
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery. EMNLP 2024: 8783-8817 - [c796]Priyanka Kargupta, Ishika Agarwal, Dilek Hakkani-Tür, Jiawei Han:
Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging. EMNLP (Findings) 2024: 9475-9495 - [c795]Siru Ouyang, Shuohang Wang, Minhao Jiang, Ming Zhong, Donghan Yu, Jiawei Han, Yelong Shen:
Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation. EMNLP (Findings) 2024: 13125-13137 - [c794]Sizhe Zhou, Yu Meng, Bowen Jin, Jiawei Han:
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction. EMNLP 2024: 13462-13486 - [c793]Linyi Ding, Jinfeng Xiao, Sizhe Zhou, Chaoqi Yang, Jiawei Han:
Topic-Oriented Open Relation Extraction with A Priori Seed Generation. EMNLP 2024: 13834-13845 - [c792]Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer:
Representation Deficiency in Masked Language Modeling. ICLR 2024 - [c791]Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He:
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. ICLR 2024 - [c790]Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao:
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs. ICLR 2024 - [c789]Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [c788]Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang:
Language Models as Semantic Indexers. ICML 2024 - [c787]Siru Ouyang, Zhuosheng Zhang, Bing Yan, Xuan Liu, Yejin Choi, Jiawei Han, Lianhui Qin:
Structured Chemistry Reasoning with Large Language Models. ICML 2024 - [c786]Yanru Qu, Keyue Qiu, Yuxuan Song, Jingjing Gong, Jiawei Han, Mingyue Zheng, Hao Zhou, Wei-Ying Ma:
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space. ICML 2024 - [c785]Haobo Xu, Yuchen Yan, Dingsu Wang, Zhe Xu, Zhichen Zeng, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong:
SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter. ICML 2024 - [c784]Tanay Komarlu, Minhao Jiang, Xuan Wang, Jiawei Han:
OntoType: Ontology-Guided and Pre-Trained Language Model Assisted Fine-Grained Entity Typing. KDD 2024: 1407-1417 - [c783]Siru Ouyang, Jiaxin Huang, Pranav Pillai, Yunyi Zhang, Yu Zhang, Jiawei Han:
Ontology Enrichment for Effective Fine-grained Entity Typing. KDD 2024: 2318-2327 - [c782]Yunyi Zhang, Ming Zhong, Siru Ouyang, Yizhu Jiao, Sizhe Zhou, Linyi Ding, Jiawei Han:
Automated Mining of Structured Knowledge from Text in the Era of Large Language Models. KDD 2024: 6644-6654 - [c781]Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao:
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. NAACL-HLT 2024: 1927-1937 - [c780]Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han:
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. NAACL-HLT 2024: 2805-2819 - [c779]Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han:
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models. NAACL-HLT 2024: 2820-2837 - [c778]Wei Hu, Bowen Jin, Minhao Jiang, Sizhe Zhou, Zhaonan Wang, Jiawei Han, Shaowen Wang:
Geospatial Topological Relation Extraction from Text with Knowledge Augmentation. SDM 2024: 472-480 - [c777]Bowen Jin, Yu Zhang, Sha Li, Jiawei Han:
Bridging Text Data and Graph Data: Towards Semantics and Structure-aware Knowledge Discovery. WSDM 2024: 1122-1125 - [c776]SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han:
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. WWW 2024: 1497-1508 - [i220]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i219]Minhao Jiang, Ken Ziyu Liu, Ming Zhong, Rylan Schaeffer, Siru Ouyang, Jiawei Han, Sanmi Koyejo:
Investigating Data Contamination for Pre-training Language Models. CoRR abs/2401.06059 (2024) - [i218]Qingyun Wang, Zixuan Zhang, Hongxiang Li, Xuan Liu, Jiawei Han, Huimin Zhao, Heng Ji:
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction. CoRR abs/2401.10189 (2024) - [i217]Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han:
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains. CoRR abs/2401.13129 (2024) - [i216]Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han:
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models. CoRR abs/2402.10744 (2024) - [i215]Sizhe Zhou, Yu Meng, Bowen Jin, Jiawei Han:
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction. CoRR abs/2402.11142 (2024) - [i214]Yanzhen Shen, Yu Zhang, Yunyi Zhang, Jiawei Han:
A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion. CoRR abs/2402.13405 (2024) - [i213]Ming Zhong, Yelong Shen, Shuohang Wang, Yadong Lu, Yizhu Jiao, Siru Ouyang, Donghan Yu, Jiawei Han, Weizhu Chen:
Multi-LoRA Composition for Image Generation. CoRR abs/2402.16843 (2024) - [i212]Yunyi Zhang, Ruozhen Yang, Xueqiang Xu, Jinfeng Xiao, Jiaming Shen, Jiawei Han:
TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision. CoRR abs/2403.00165 (2024) - [i211]SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han:
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. CoRR abs/2403.04160 (2024) - [i210]Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han:
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. CoRR abs/2403.10351 (2024) - [i209]Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Suhang Wang, Yu Meng, Jiawei Han:
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. CoRR abs/2404.07103 (2024) - [i208]Yanru Qu, Keyue Qiu, Yuxuan Song, Jingjing Gong, Jiawei Han, Mingyue Zheng, Hao Zhou, Wei-Ying Ma:
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space. CoRR abs/2404.12141 (2024) - [i207]Linyi Ding, Sizhe Zhou, Jinfeng Xiao, Jiawei Han:
Automated Construction of Theme-specific Knowledge Graphs. CoRR abs/2404.19146 (2024) - [i206]Pengcheng Jiang, Lang Cao, Cao Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han:
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge. CoRR abs/2405.16412 (2024) - [i205]Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han:
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery. CoRR abs/2406.10833 (2024) - [i204]Priyanka Kargupta, Ishika Agarwal, Dilek Hakkani-Tur, Jiawei Han:
Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging. CoRR abs/2406.11709 (2024) - [i203]Zexing Xu, Linjun Zhang, Sitan Yang, S. Rasoul Etesami, Hanghang Tong, Huan Zhang, Jiawei Han:
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data. CoRR abs/2406.16221 (2024) - [i202]Sizhe Zhou, Sha Li, Yu Meng, Yizhu Jiao, Heng Ji, Jiawei Han:
Establishing Knowledge Preference in Language Models. CoRR abs/2407.13048 (2024) - [i201]Priyanka Kargupta, Yunyi Zhang, Yizhu Jiao, Siru Ouyang, Jiawei Han:
Unsupervised Episode Detection for Large-Scale News Events. CoRR abs/2408.04873 (2024) - [i200]Kerui Zhu, Bo-Wei Huang, Bowen Jin, Yizhu Jiao, Ming Zhong, Kevin Chang, Shou-De Lin, Jiawei Han:
Investigating Instruction Tuning Large Language Models on Graphs. CoRR abs/2408.05457 (2024) - [i199]Jimeng Shi, Bowen Jin, Jiawei Han, Giri Narasimhan:
CoDiCast: Conditional Diffusion Model for Weather Prediction with Uncertainty Quantification. CoRR abs/2409.05975 (2024) - [i198]Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten:
Law of the Weakest Link: Cross Capabilities of Large Language Models. CoRR abs/2409.19951 (2024) - [i197]Suyu Ge, Xihui Lin, Yunan Zhang, Jiawei Han, Hao Peng:
A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts. CoRR abs/2410.01485 (2024) - [i196]Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han:
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval. CoRR abs/2410.04585 (2024) - [i195]Bowen Jin, Jinsung Yoon, Jiawei Han, Sercan Ö. Arik:
Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG. CoRR abs/2410.05983 (2024) - [i194]Bowen Jin, Ziqi Pang, Bingjun Guo, Yu-Xiong Wang, Jiaxuan You, Jiawei Han:
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs. CoRR abs/2410.07157 (2024) - [i193]Siru Ouyang, Shuohang Wang, Minhao Jiang, Ming Zhong, Donghan Yu, Jiawei Han, Yelong Shen:
Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation. CoRR abs/2410.10141 (2024) - [i192]Siru Ouyang, Wenhao Yu, Kaixin Ma, Zilin Xiao, Zhihan Zhang, Mengzhao Jia, Jiawei Han, Hongming Zhang, Dong Yu:
RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph. CoRR abs/2410.14684 (2024) - [i191]Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong:
Scaling Diffusion Language Models via Adaptation from Autoregressive Models. CoRR abs/2410.17891 (2024) - [i190]Sha Li, Revanth Gangi Reddy, Khanh Duy Nguyen, Qingyun Wang, May Fung, Chi Han, Jiawei Han, Kartik Natarajan, Clare R. Voss, Heng Ji:
Schema-Guided Culture-Aware Complex Event Simulation with Multi-Agent Role-Play. CoRR abs/2410.18935 (2024) - [i189]SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu:
Taxonomy-guided Semantic Indexing for Academic Paper Search. CoRR abs/2410.19218 (2024) - [i188]Zihao Li, Lecheng Zheng, Bowen Jin, Dongqi Fu, Baoyu Jing, Yikun Ban, Jingrui He, Jiawei Han:
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? CoRR abs/2412.08174 (2024) - 2023
- [j202]Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han:
Embedding text-rich graph neural networks with sequence and topical semantic structures. Knowl. Inf. Syst. 65(2): 613-640 (2023) - [j201]Wei Shen, Yuhan Li, Yinan Liu, Jiawei Han, Jianyong Wang, Xiaojie Yuan:
Entity Linking Meets Deep Learning: Techniques and Solutions. IEEE Trans. Knowl. Data Eng. 35(3): 2556-2578 (2023) - [j200]Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han:
GCN for HIN via Implicit Utilization of Attention and Meta-Paths. IEEE Trans. Knowl. Data Eng. 35(4): 3925-3937 (2023) - [c775]Nishant Balepur, Shivam Agarwal, Karthik Venkat Ramanan, Susik Yoon, Diyi Yang, Jiawei Han:
DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance. ACL (Findings) 2023: 194-217 - [c774]Siru Ouyang, Jiaao Chen, Jiawei Han, Diyi Yang:
Compositional Data Augmentation for Abstractive Conversation Summarization. ACL (1) 2023: 1471-1488 - [c773]Sha Li, Ruining Zhao, Manling Li, Heng Ji, Chris Callison-Burch, Jiawei Han:
Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification. ACL (1) 2023: 5677-5697 - [c772]Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han:
Patton: Language Model Pretraining on Text-Rich Networks. ACL (1) 2023: 7005-7020 - [c771]Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han:
Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. ACL (Findings) 2023: 11161-11180 - [c770]Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han:
ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision. ACL (Findings) 2023: 12120-12130 - [c769]Jiawei Han:
Large Foundational Model is a Blessing to Natural Language Understanding and Data Mining. CogMI 2023: xiii - [c768]Yu Zhang, Yunyi Zhang, Jiawei Han:
Mining Structures from Massive Texts by Exploring the Power of Pre-trained Language Models. EDBT 2023: 851-854 - [c767]Khanh Duy Nguyen, Zixuan Zhang, Reece Suchocki, Sha Li, Martha Palmer, Susan Windisch Brown, Jiawei Han, Heng Ji:
RESIN-EDITOR: A Schema-guided Hierarchical Event Graph Visualizer and Editor. EMNLP (Demos) 2023: 365-372 - [c766]Ming Zhong, Siru Ouyang, Yizhu Jiao, Priyanka Kargupta, Leo Luo, Yanzhen Shen, Bobby Zhou, Xianrui Zhong, Xuan Liu, Hongxiang Li, Jinfeng Xiao, Minhao Jiang, Vivian Hu, Xuan Wang, Heng Ji, Martin D. Burke, Huimin Zhao, Jiawei Han:
Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data. EMNLP (Demos) 2023: 389-402 - [c765]Jiaxin Huang, Shixiang Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han:
Large Language Models Can Self-Improve. EMNLP 2023: 1051-1068 - [c764]Suyu Ge, Chenyan Xiong, Corby Rosset, Arnold Overwijk, Jiawei Han, Paul Bennett:
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories. EMNLP 2023: 1796-1812 - [c763]Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han:
The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. EMNLP 2023: 2375-2393 - [c762]Sha Li, Qiusi Zhan, Kathryn Conger, Martha Palmer, Heng Ji, Jiawei Han:
GLEN: General-Purpose Event Detection for Thousands of Types. EMNLP 2023: 2823-2838 - [c761]Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang:
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. EMNLP 2023: 4031-4047 - [c760]Yizhu Jiao, Ming Zhong, Sha Li, Ruining Zhao, Siru Ouyang, Heng Ji, Jiawei Han:
Instruct and Extract: Instruction Tuning for On-Demand Information Extraction. EMNLP 2023: 10030-10051 - [c759]Priyanka Kargupta, Tanay Komarlu, Susik Yoon, Xuan Wang, Jiawei Han:
MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities. EMNLP (Findings) 2023: 10543-10558 - [c758]Yunyi Zhang, Minhao Jiang, Yu Meng, Yu Zhang, Jiawei Han:
PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training. EMNLP 2023: 12655-12670 - [c757]Zhaonan Wang, Bowen Jin, Wei Hu, Minhao Jiang, Seungyeon Kang, Zhiyuan Li, Sizhe Zhou, Jiawei Han, Shaowen Wang:
Geospatial Knowledge Hypercube. SIGSPATIAL/GIS 2023: 79:1-79:4 - [c756]Carl Yang, Jiawei Han:
Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks. ICDE 2023: 682-695 - [c755]Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han:
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks. ICLR 2023 - [c754]Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek F. Abdelzaher, Jiawei Han:
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning. ICML 2023: 24457-24477 - [c753]Bowen Jin, Yu Zhang, Qi Zhu, Jiawei Han:
Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks. KDD 2023: 1020-1031 - [c752]Yu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng, Jiawei Han:
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers. KDD 2023: 3458-3469 - [c751]Xinyang Zhang, Yury Malkov, Omar Florez, Serim Park, Brian McWilliams, Jiawei Han, Ahmed El-Kishky:
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter. KDD 2023: 5597-5607 - [c750]Yu Meng, Jiaxin Huang, Yu Zhang, Yunyi Zhang, Jiawei Han:
Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective. KDD 2023: 5817-5818 - [c749]Sizhe Zhou, Suyu Ge, Jiaming Shen, Jiawei Han:
Corpus-Based Relation Extraction by Identifying and Refining Relation Patterns. ECML/PKDD (4) 2023: 20-38 - [c748]Jinfeng Xiao, Mohab Elkaref, Nathan Herr, Geeth De Mel, Jiawei Han:
Taxonomy-Guided Fine-Grained Entity Set Expansion. SDM 2023: 631-639 - [c747]Susik Yoon, Dongha Lee, Yunyi Zhang, Jiawei Han:
Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding. SIGIR 2023: 802-811 - [c746]Yu Zhang, Yunyi Zhang, Martin Michalski, Yucheng Jiang, Yu Meng, Jiawei Han:
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts. WSDM 2023: 429-437 - [c745]Suyu Ge, Jiaxin Huang, Yu Meng, Jiawei Han:
FineSum: Target-Oriented, Fine-Grained Opinion Summarization. WSDM 2023: 1093-1101 - [c744]Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - [c743]Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han:
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study. WWW 2023: 1626-1637 - [c742]Susik Yoon, Hou Pong Chan, Jiawei Han:
PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Stream. WWW 2023: 1650-1661 - [c741]Susik Yoon, Yu Meng, Dongha Lee, Jiawei Han:
SCStory: Self-supervised and Continual Online Story Discovery. WWW 2023: 1853-1864 - [c740]Yizhu Jiao, Ming Zhong, Jiaming Shen, Yunyi Zhang, Chao Zhang, Jiawei Han:
Unsupervised Event Chain Mining from Multiple Documents. WWW 2023: 1948-1959 - [d3]Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han:
The MAPLE Benchmark for Scientific Literature Tagging. Zenodo, 2023
- [d2]Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han:
The MAPLE Benchmark for Graph Mining. Version 1. Zenodo, 2023 [all versions] - [d1]Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han:
The MAPLE Benchmark for Graph Mining. Version 2. Zenodo, 2023 [all versions] - [i187]Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer:
Representation Deficiency in Masked Language Modeling. CoRR abs/2302.02060 (2023) - [i186]Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han:
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study. CoRR abs/2302.03341 (2023) - [i185]Suyu Ge, Chenyan Xiong, Corby Rosset, Arnold Overwijk, Jiawei Han, Paul Bennett:
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories. CoRR abs/2302.03754 (2023) - [i184]Susik Yoon, Hou Pong Chan, Jiawei Han:
PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Stream. CoRR abs/2302.05550 (2023) - [i183]Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han:
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks. CoRR abs/2302.11050 (2023) - [i182]Qiusi Zhan, Sha Li, Kathryn Conger, Martha Palmer, Heng Ji, Jiawei Han:
GLEN: General-Purpose Event Detection for Thousands of Types. CoRR abs/2303.09093 (2023) - [i181]Priyanka Kargupta, Tanay Komarlu, Susik Yoon, Xuan Wang, Jiawei Han:
MEGClass: Text Classification with Extremely Weak Supervision via Mutually-Enhancing Text Granularities. CoRR abs/2304.01969 (2023) - [i180]Susik Yoon, Dongha Lee, Yunyi Zhang, Jiawei Han:
Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding. CoRR abs/2304.04099 (2023) - [i179]Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han:
Patton: Language Model Pretraining on Text-Rich Networks. CoRR abs/2305.12268 (2023) - [i178]Tanay Komarlu, Minhao Jiang, Xuan Wang, Jiawei Han:
OntoType: Ontology-Guided Zero-Shot Fine-Grained Entity Typing with Weak Supervision from Pre-Trained Language Models. CoRR abs/2305.12307 (2023) - [i177]Yunyi Zhang, Minhao Jiang, Yu Meng, Yu Zhang, Jiawei Han:
PromptClass: Weakly-Supervised Text Classification with Prompting Enhanced Noise-Robust Self-Training. CoRR abs/2305.13723 (2023) - [i176]Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang:
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. CoRR abs/2305.14327 (2023) - [i175]Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han:
Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. CoRR abs/2305.15597 (2023) - [i174]Qi Zhu, Yizhu Jiao, Natalia Ponomareva, Jiawei Han, Bryan Perozzi:
Explaining and Adapting Graph Conditional Shift. CoRR abs/2306.03256 (2023) - [i173]Yu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng, Jiawei Han:
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers. CoRR abs/2306.14003 (2023) - [i172]Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han:
ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision. CoRR abs/2307.01448 (2023) - [i171]Sha Li, Ruining Zhao, Manling Li, Heng Ji, Chris Callison-Burch, Jiawei Han:
Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification. CoRR abs/2307.01972 (2023) - [i170]Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao:
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs. CoRR abs/2310.01801 (2023) - [i169]Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Han Zhao, Jiawei Han:
Learning Multiplex Embeddings on Text-rich Networks with One Text Encoder. CoRR abs/2310.06684 (2023) - [i168]Siru Ouyang, Jiaxin Huang, Pranav Pillai, Yunyi Zhang, Yu Zhang, Jiawei Han:
Ontology Enrichment for Effective Fine-grained Entity Typing. CoRR abs/2310.07795 (2023) - [i167]Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang:
Language Models As Semantic Indexers. CoRR abs/2310.07815 (2023) - [i166]Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He:
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. CoRR abs/2310.11451 (2023) - [i165]Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han:
The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. CoRR abs/2310.12418 (2023) - [i164]Yu Zhang, Yanzhen Shen, Xiusi Chen, Bowen Jin, Jiawei Han:
"Why Should I Review This Paper?" Unifying Semantic, Topic, and Citation Factors for Paper-Reviewer Matching. CoRR abs/2310.14483 (2023) - [i163]Yizhu Jiao, Ming Zhong, Sha Li, Ruining Zhao, Siru Ouyang, Heng Ji, Jiawei Han:
Instruct and Extract: Instruction Tuning for On-Demand Information Extraction. CoRR abs/2310.16040 (2023) - [i162]Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao:
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. CoRR abs/2311.07689 (2023) - [i161]Siru Ouyang, Zhuosheng Zhang, Bing Yan, Xuan Liu, Jiawei Han, Lianhui Qin:
Structured Chemistry Reasoning with Large Language Models. CoRR abs/2311.09656 (2023) - [i160]Bowen Jin, Gang Liu, Chi Han, Meng Jiang, Heng Ji, Jiawei Han:
Large Language Models on Graphs: A Comprehensive Survey. CoRR abs/2312.02783 (2023) - [i159]Khanh Duy Nguyen, Zixuan Zhang, Reece Suchocki, Sha Li, Martha Palmer, Susan Windisch Brown, Jiawei Han, Heng Ji:
RESIN-EDITOR: A Schema-guided Hierarchical Event Graph Visualizer and Editor. CoRR abs/2312.03093 (2023) - [i158]Susik Yoon, Yu Meng, Dongha Lee, Jiawei Han:
SCStory: Self-supervised and Continual Online Story Discovery. CoRR abs/2312.03725 (2023) - 2022
- [b11]Jiaming Shen, Jiawei Han:
Automated Taxonomy Discovery and Exploration. Synthesis Lectures on Data Mining and Knowledge Discovery, Springer 2022, ISBN 978-3-031-11404-5, pp. 1-103 - [j199]Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu, Tianyi Wu:
Heterogeneous Information Networks: the Past, the Present, and the Future. Proc. VLDB Endow. 15(12): 3807-3811 (2022) - [j198]Di Jin, Wenjun Wang, Guojie Song, Philip S. Yu, Jiawei Han:
Guest Editorial: Special Issue on Network Structural Modeling and Learning in Big Data. IEEE Trans. Big Data 8(4): 867-868 (2022) - [j197]Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han:
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark. IEEE Trans. Knowl. Data Eng. 34(10): 4854-4873 (2022) - [j196]Wei Shen, Yuwei Yin, Yang Yang, Jiawei Han, Jianyong Wang, Xiaojie Yuan:
Toward Tweet Entity Linking With Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 34(12): 6003-6017 (2022) - [c739]Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, Jiawei Han:
Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion. ACL (Findings) 2022: 257-268 - [c738]Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Scott Yih, Madian Khabsa:
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. ACL (1) 2022: 6253-6264 - [c737]Xiaotao Gu, Yikang Shen, Jiaming Shen, Jingbo Shang, Jiawei Han:
Phrase-aware Unsupervised Constituency Parsing. ACL (1) 2022: 6406-6415 - [c736]Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph P. Olive, Heng Ji:
Schema-Guided Event Graph Completion. AKBC 2022 - [c735]Xuan Wang, Vivian Hu, Minhao Jiang, Yu Zhang, Jinfeng Xiao, Danielle Cherrice Loving, Heng Ji, Martin D. Burke, Jiawei Han:
REACTCLASS: Cross-Modal Supervision for Subword-Guided Reactant Entity Classification. BIBM 2022: 844-847 - [c734]Yu Zhang, Yunyi Zhang, Yucheng Jiang, Martin Michalski, Yu Deng, Lucian Popa, ChengXiang Zhai, Jiawei Han:
Entity Set Co-Expansion in StackOverflow. IEEE Big Data 2022: 4792-4795 - [c733]Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He:
MentorGNN: Deriving Curriculum for Pre-Training GNNs. CIKM 2022: 2721-2731 - [c732]Dongha Lee, Jiaming Shen, Seonghyeon Lee, Susik Yoon, Hwanjo Yu, Jiawei Han:
Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation. EMNLP (Findings) 2022: 1687-1700 - [c731]Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han:
Towards a Unified Multi-Dimensional Evaluator for Text Generation. EMNLP 2022: 2023-2038 - [c730]Jianhao Shen, Chenguang Wang, Ye Yuan, Jiawei Han, Heng Ji, Koushik Sen, Ming Zhang, Dawn Song:
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion. EMNLP (Findings) 2022: 3833-3847 - [c729]Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han:
Unsupervised Multi-Granularity Summarization. EMNLP (Findings) 2022: 4980-4995 - [c728]Yizhu Jiao, Sha Li, Yiqing Xie, Ming Zhong, Heng Ji, Jiawei Han:
Open-Vocabulary Argument Role Prediction For Event Extraction. EMNLP (Findings) 2022: 5404-5418 - [c727]Sha Li, Heng Ji, Jiawei Han:
Open Relation and Event Type Discovery with Type Abstraction. EMNLP 2022: 6864-6877 - [c726]Yuning Mao, Ming Zhong, Jiawei Han:
CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision. EMNLP 2022: 10922-10935 - [c725]Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, Tyler Derr:
THINK: Temporal Hypergraph Hyperbolic Network. ICDM 2022: 849-854 - [c724]Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul N. Bennett, Jiawei Han, Xia Song:
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. ICLR 2022 - [c723]Hongwei Wang, Weijiang Li, Xiaomeng Jin, Kyunghyun Cho, Heng Ji, Jiawei Han, Martin D. Burke:
Chemical-Reaction-Aware Molecule Representation Learning. ICLR 2022 - [c722]Jiaxin Huang, Yu Meng, Jiawei Han:
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation. KDD 2022: 605-614 - [c721]Yunyi Zhang, Fang Guo, Jiaming Shen, Jiawei Han:
Unsupervised Key Event Detection from Massive Text Corpora. KDD 2022: 2535-2544 - [c720]Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han:
Adapting Pretrained Representations for Text Mining. KDD 2022: 4806-4807 - [c719]Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han:
New Frontiers of Scientific Text Mining: Tasks, Data, and Tools. KDD 2022: 4832-4833 - [c718]Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han:
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds. NAACL-HLT 2022: 279-290 - [c717]Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han:
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. NAACL-HLT 2022: 2395-2409 - [c716]Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han:
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. NeurIPS 2022 - [c715]Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han:
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. WSDM 2022: 1357-1367 - [c714]Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He:
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 2022: 391-399 - [c713]Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han:
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. WWW 2022: 925-934 - [c712]Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han:
KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. WWW 2022: 1301-1310 - [c711]Dongha Lee, Jiaming Shen, Seongku Kang, Susik Yoon, Jiawei Han, Hwanjo Yu:
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. WWW 2022: 2819-2829 - [c710]Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han:
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. WWW 2022: 3143-3152 - [c709]Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han:
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. WWW 2022: 3153-3161 - [c708]Yu Zhang, Zhihong Shen, Chieh-Han Wu, Boya Xie, Junheng Hao, Ye-Yi Wang, Kuansan Wang, Jiawei Han:
Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification. WWW 2022: 3162-3173 - [i157]Dongha Lee, Jiaming Shen, SeongKu Kang, Susik Yoon, Jiawei Han, Hwanjo Yu:
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. CoRR abs/2201.06771 (2022) - [i156]Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han:
Unsupervised Summarization with Customized Granularities. CoRR abs/2201.12502 (2022) - [i155]Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han:
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. CoRR abs/2202.04538 (2022) - [i154]Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han:
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. CoRR abs/2202.04582 (2022) - [i153]Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han:
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. CoRR abs/2202.04887 (2022) - [i152]Yu Zhang, Zhihong Shen, Chieh-Han Wu, Boya Xie, Junheng Hao, Ye-Yi Wang, Kuansan Wang, Jiawei Han:
Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification. CoRR abs/2202.05932 (2022) - [i151]Sha Li, Liyuan Liu, Yiqing Xie, Heng Ji, Jiawei Han:
PILED: An Identify-and-Localize Framework for Few-Shot Event Detection. CoRR abs/2202.07615 (2022) - [i150]Qi Zhu, Chao Zhang, Chanyoung Park, Carl Yang, Jiawei Han:
Shift-Robust Node Classification via Graph Adversarial Clustering. CoRR abs/2203.15802 (2022) - [i149]Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song:
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. CoRR abs/2204.03243 (2022) - [i148]Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han:
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. CoRR abs/2204.13874 (2022) - [i147]Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han:
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds. CoRR abs/2205.01845 (2022) - [i146]Yuning Mao, Ming Zhong, Jiawei Han:
CiteSum: Citation Text-guided Scientific Extreme Summarization and Low-resource Domain Adaptation. CoRR abs/2205.06207 (2022) - [i145]Bowen Jin, Yu Zhang, Qi Zhu, Jiawei Han:
Heterformer: A Transformer Architecture for Node Representation Learning on Heterogeneous Text-Rich Networks. CoRR abs/2205.10282 (2022) - [i144]Jiaxin Huang, Tianqi Liu, Jialu Liu, Ádám D. Lelkes, Cong Yu, Jiawei Han:
All Birds with One Stone: Multi-task Text Classification for Efficient Inference with One Forward Pass. CoRR abs/2205.10744 (2022) - [i143]Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph P. Olive, Heng Ji:
Schema-Guided Event Graph Completion. CoRR abs/2206.02921 (2022) - [i142]Yunyi Zhang, Fang Guo, Jiaming Shen, Jiawei Han:
Unsupervised Key Event Detection from Massive Text Corpora. CoRR abs/2206.04153 (2022) - [i141]Zhizhi Yu, Di Jin, Jianguo Wei, Ziyang Liu, Yue Shang, Yun Xiao, Jiawei Han, Lingfei Wu:
TeKo: Text-Rich Graph Neural Networks with External Knowledge. CoRR abs/2206.07253 (2022) - [i140]Jiaxin Huang, Yu Meng, Jiawei Han:
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation. CoRR abs/2206.13746 (2022) - [i139]Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He:
MentorGNN: Deriving Curriculum for Pre-Training GNNs. CoRR abs/2208.09905 (2022) - [i138]Xinyang Zhang, Yury Malkov, Omar Florez, Serim Park, Brian McWilliams, Jiawei Han, Ahmed El-Kishky:
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations. CoRR abs/2209.07562 (2022) - [i137]Liwen Sun, Jiawei Han:
Few-shot Text Classification with Dual Contrastive Consistency. CoRR abs/2209.15069 (2022) - [i136]Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han:
Towards a Unified Multi-Dimensional Evaluator for Text Generation. CoRR abs/2210.07197 (2022) - [i135]Jiaxin Huang, Shixiang Shane Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han:
Large Language Models Can Self-Improve. CoRR abs/2210.11610 (2022) - [i134]Jianhao Shen, Chenguang Wang, Ye Yuan, Jiawei Han, Heng Ji, Koushik Sen, Ming Zhang, Dawn Song:
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion. CoRR abs/2210.13715 (2022) - [i133]Yizhu Jiao, Sha Li, Yiqing Xie, Ming Zhong, Heng Ji, Jiawei Han:
Open-Vocabulary Argument Role Prediction for Event Extraction. CoRR abs/2211.01577 (2022) - [i132]Dongha Lee, Jiaming Shen, Seonghyeon Lee, Susik Yoon, Hwanjo Yu, Jiawei Han:
Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation. CoRR abs/2211.01981 (2022) - [i131]Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek F. Abdelzaher, Jiawei Han:
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning. CoRR abs/2211.03044 (2022) - [i130]Sha Li, Heng Ji, Jiawei Han:
Open Relation and Event Type Discovery with Type Abstraction. CoRR abs/2212.00178 (2022) - [i129]Yu Zhang, Yunyi Zhang, Yucheng Jiang, Martin Michalski, Yu Deng, Lucian Popa, ChengXiang Zhai, Jiawei Han:
Entity Set Co-Expansion in StackOverflow. CoRR abs/2212.02271 (2022) - [i128]Yu Zhang, Yunyi Zhang, Martin Michalski, Yucheng Jiang, Yu Meng, Jiawei Han:
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts. CoRR abs/2212.06002 (2022) - 2021
- [c707]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Reader-Guided Passage Reranking for Open-Domain Question Answering. ACL/IJCNLP (Findings) 2021: 344-350 - [c706]Jiaming Shen, Jialu Liu, Tianqi Liu, Cong Yu, Jiawei Han:
Training ELECTRA Augmented with Multi-word Selection. ACL/IJCNLP (Findings) 2021: 2475-2486 - [c705]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Generation-Augmented Retrieval for Open-Domain Question Answering. ACL/IJCNLP (1) 2021: 4089-4100 - [c704]Yuning Mao, Wenchang Ma, Deren Lei, Jiawei Han, Xiang Ren:
Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation. EMNLP (1) 2021: 5063-5074 - [c703]Manling Li, Sha Li, Zhenhailong Wang, Lifu Huang, Kyunghyun Cho, Heng Ji, Jiawei Han, Clare R. Voss:
The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction. EMNLP (1) 2021: 5203-5215 - [c702]Xuan Wang, Vivian Hu, Xiangchen Song, Shweta Garg, Jinfeng Xiao, Jiawei Han:
ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision. EMNLP (1) 2021: 5227-5240 - [c701]Jiaming Shen, Yunyi Zhang, Heng Ji, Jiawei Han:
Corpus-based Open-Domain Event Type Induction. EMNLP (1) 2021: 5427-5440 - [c700]Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han:
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training. EMNLP (1) 2021: 10367-10378 - [c699]Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han:
Few-Shot Named Entity Recognition: An Empirical Baseline Study. EMNLP (1) 2021: 10408-10423 - [c698]Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han:
AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks. ICDM 2021: 837-846 - [c697]Dongha Lee, Dongmin Hyun, Jiawei Han, Hwanjo Yu:
Out-of-Category Document Identification Using Target-Category Names as Weak Supervision. ICDM 2021: 1186-1191 - [c696]Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Weizhu Chen, Jiawei Han:
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding. ICLR 2021 - [c695]Carl Yang, Jieyu Zhang, Jiawei Han:
TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract). IJCAI 2021: 4859-4863 - [c694]Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang:
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging. KDD 2021: 478-486 - [c693]Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han:
On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining. KDD 2021: 4052-4053 - [c692]Jinfeng Xiao, Lidan Wang, Franck Dernoncourt, Trung Bui, Tong Sun, Jiawei Han:
Open-Domain Question Answering with Pre-Constructed Question Spaces. NAACL-HLT (Student Research Workshop) 2021: 61-67 - [c691]Haoyang Wen, Yanru Qu, Heng Ji, Qiang Ning, Jiawei Han, Avi Sil, Hanghang Tong, Dan Roth:
Event Time Extraction and Propagation via Graph Attention Networks. NAACL-HLT 2021: 62-73 - [c690]Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Yi R. Fung, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych:
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. NAACL-HLT (Demonstrations) 2021: 66-77 - [c689]Haoyang Wen, Ying Lin, Tuan Manh Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Ren Fung, Piyush Mishra, Qing Lyu, Dídac Surís, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji:
RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System. NAACL-HLT (Demonstrations) 2021: 133-143 - [c688]Sha Li, Heng Ji, Jiawei Han:
Document-Level Event Argument Extraction by Conditional Generation. NAACL-HLT 2021: 894-908 - [c687]Jiaming Shen, Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren, Jiawei Han:
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names. NAACL-HLT 2021: 4239-4249 - [c686]Xiaotao Gu, Liyuan Liu, Hongkun Yu, Jing Li, Chen Chen, Jiawei Han:
On the Transformer Growth for Progressive BERT Training. NAACL-HLT 2021: 5174-5180 - [c685]Qi Zhu, Carl Yang, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han:
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization. NeurIPS 2021: 1766-1779 - [c684]Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han:
Universal Graph Convolutional Networks. NeurIPS 2021: 10654-10664 - [c683]Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song:
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. NeurIPS 2021: 23102-23114 - [c682]Qi Zhu, Natalia Ponomareva, Jiawei Han, Bryan Perozzi:
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data. NeurIPS 2021: 27965-27977 - [c681]Luyu Gao, Yunyi Zhang, Jiawei Han, Jamie Callan:
Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup. RepL4NLP@ACL-IJCNLP 2021: 316-321 - [c680]Qi Zhu, Fang Guo, Jingjing Tian, Yuning Mao, Jiawei Han:
SUMDocS: Surrounding-aware Unsupervised Multi-Document Summarization. SDM 2021: 477-485 - [c679]Huajie Shao, Tarek F. Abdelzaher, Jiawei Han, Minhao Jiang, Yuning Mao, Yu Meng, Wenda Qiu, Dachun Sun, Ruijie Wang, Chaoqi Yang, Zhenzhou Yang, Xinyang Zhang, Yu Zhang, Sam Cohen, James Flamino, György Korniss, Omar Malik, Aamir Mandviwalla, Boleslaw K. Szymanski, Lake Yin:
Simulating Online Social Response: A Stimulus/Response Perspective. WSC 2021: 1-12 - [c678]Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han:
BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks. WSDM 2021: 157-165 - [c677]Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han:
Hierarchical Metadata-Aware Document Categorization under Weak Supervision. WSDM 2021: 770-778 - [c676]Yu Zhang, Zhihong Shen, Yuxiao Dong, Kuansan Wang, Jiawei Han:
MATCH: Metadata-Aware Text Classification in A Large Hierarchy. WWW 2021: 3246-3257 - [c675]Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han:
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. WWW 2021: 3258-3268 - [i127]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Reader-Guided Passage Reranking for Open-Domain Question Answering. CoRR abs/2101.00294 (2021) - [i126]Yu Zhang, Zhihong Shen, Yuxiao Dong, Kuansan Wang, Jiawei Han:
MATCH: Metadata-Aware Text Classification in A Large Hierarchy. CoRR abs/2102.07349 (2021) - [i125]Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song:
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. CoRR abs/2102.08473 (2021) - [i124]Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han:
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. CoRR abs/2102.11479 (2021) - [i123]Xiangchen Song, Jiaming Shen, Jieyu Zhang, Jiawei Han:
Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion. CoRR abs/2104.03682 (2021) - [i122]Sha Li, Heng Ji, Jiawei Han:
Document-Level Event Argument Extraction by Conditional Generation. CoRR abs/2104.05919 (2021) - [i121]Manling Li, Sha Li, Zhenhailong Wang, Lifu Huang, Kyunghyun Cho, Heng Ji, Jiawei Han, Clare R. Voss:
Future is not One-dimensional: Graph Modeling based Complex Event Schema Induction for Event Prediction. CoRR abs/2104.06344 (2021) - [i120]Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang:
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging. CoRR abs/2105.14078 (2021) - [i119]Jiaming Shen, Jialu Liu, Tianqi Liu, Cong Yu, Jiawei Han:
Training ELECTRA Augmented with Multi-word Selection. CoRR abs/2106.00139 (2021) - [i118]Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, Jiawei Han:
Eider: Evidence-enhanced Document-level Relation Extraction. CoRR abs/2106.08657 (2021) - [i117]Liyuan Liu, Jialu Liu, Jiawei Han:
Multi-head or Single-head? An Empirical Comparison for Transformer Training. CoRR abs/2106.09650 (2021) - [i116]Qi Zhu, Natalia Ponomareva, Jiawei Han, Bryan Perozzi:
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data. CoRR abs/2108.01099 (2021) - [i115]Jiaming Shen, Yunyi Zhang, Heng Ji, Jiawei Han:
Corpus-based Open-Domain Event Type Induction. CoRR abs/2109.03322 (2021) - [i114]Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han:
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training. CoRR abs/2109.05003 (2021) - [i113]Hongwei Wang, Weijiang Li, Xiaomeng Jin, Kyunghyun Cho, Heng Ji, Jiawei Han, Martin D. Burke:
Chemical-Reaction-Aware Molecule Representation Learning. CoRR abs/2109.09888 (2021) - [i112]Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han:
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. CoRR abs/2109.12093 (2021) - [i111]Wei Shen, Yuhan Li, Yinan Liu, Jiawei Han, Jianyong Wang, Xiaojie Yuan:
Entity Linking Meets Deep Learning: Techniques and Solutions. CoRR abs/2109.12520 (2021) - [i110]Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Wen-tau Yih, Madian Khabsa:
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. CoRR abs/2110.07577 (2021) - [i109]Suyu Ge, Jiaxin Huang, Yu Meng, Sharon Wang, Jiawei Han:
Fine-Grained Opinion Summarization with Minimal Supervision. CoRR abs/2110.08845 (2021) - [i108]Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han:
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. CoRR abs/2111.04022 (2021) - [i107]Dongha Lee, Dongmin Hyun, Jiawei Han, Hwanjo Yu:
Out-of-Category Document Identification Using Target-Category Names as Weak Supervision. CoRR abs/2111.12796 (2021) - 2020
- [j195]Tarek F. Abdelzaher, Jiawei Han, Yifan Hao, Andong Jing, Dongxin Liu, Shengzhong Liu, Hoang Hai Nguyen, David M. Nicol, Huajie Shao, Tianshi Wang, Shuochao Yao, Yu Zhang, Omar Malik, Stephen Dipple, James Flamino, Fred Buchanan, Sam Cohen, György Korniss, Boleslaw K. Szymanski:
Multiscale online media simulation with SocialCube. Comput. Math. Organ. Theory 26(2): 145-174 (2020) - [j194]Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han:
Unsupervised Word Embedding Learning by Incorporating Local and Global Contexts. Frontiers Big Data 3: 9 (2020) - [j193]Chanyoung Park, Jiawei Han, Hwanjo Yu:
Deep multiplex graph infomax: Attentive multiplex network embedding using global information. Knowl. Based Syst. 197: 105861 (2020) - [j192]Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian J. Henz, Henry Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen B. Marais, Prateek Mittal, Shaoshuai Mou, Xiaokang Qiu, Gesualdo Scutari:
Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures. IEEE Open J. Comput. Soc. 1: 155-172 (2020) - [c674]Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu:
Unsupervised Attributed Multiplex Network Embedding. AAAI 2020: 5371-5378 - [c673]Xuan Wang, Yingjun Guan, Weili Liu, Aabhas Chauhan, Enyi Jiang, Qi Li, David Liem, Dibakar Sigdel, John Caufield, Peipei Ping, Jiawei Han:
EVIDENCEMINER: Textual Evidence Discovery for Life Sciences. ACL (demo) 2020: 56-62 - [c672]Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han:
Facet-Aware Evaluation for Extractive Summarization. ACL 2020: 4941-4957 - [c671]Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han:
Empower Entity Set Expansion via Language Model Probing. ACL 2020: 8151-8160 - [c670]Xuan Wang, Xiangchen Song, Bangzheng Li, Kang Zhou, Qi Li, Jiawei Han:
Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature. BIBM 2020: 491-494 - [c669]Xuan Wang, Yingjun Guan, Yu Zhang, Qi Li, Jiawei Han:
Pattern-enhanced Named Entity Recognition with Distant Supervision. IEEE BigData 2020: 818-827 - [c668]Xuan Wang, Yu Zhang, Aabhas Chauhan, Qi Li, Jiawei Han:
Textual Evidence Mining via Spherical Heterogeneous Information Network Embedding. IEEE BigData 2020: 828-837 - [c667]Carl Yang, Liyuan Liu, Mengxiong Liu, Zongyi Wang, Chao Zhang, Jiawei Han:
Graph Clustering with Embedding Propagation. IEEE BigData 2020: 858-867 - [c666]Jiaming Shen, Heng Ji, Jiawei Han:
Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding. EMNLP (1) 2020: 303-313 - [c665]Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han:
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning. EMNLP (1) 2020: 1737-1751 - [c664]Liyuan Liu, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Jiawei Han:
Understanding the Difficulty of Training Transformers. EMNLP (1) 2020: 5747-5763 - [c663]Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han:
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding. EMNLP (1) 2020: 6989-6999 - [c662]Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han:
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery. EMNLP (1) 2020: 8292-8307 - [c661]Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han:
Text Classification Using Label Names Only: A Language Model Self-Training Approach. EMNLP (1) 2020: 9006-9017 - [c660]Edouard Fouché, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Böhm, Jiawei Han:
Mining Text Outliers in Document Directories. ICDM 2020: 152-161 - [c659]Carl Yang, Jieyu Zhang, Jiawei Han:
Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks. ICDM 2020: 721-730 - [c658]Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han:
On the Variance of the Adaptive Learning Rate and Beyond. ICLR 2020 - [c657]Yiqing Xie, Sha Li, Carl Yang, Raymond Chi-Wing Wong, Jiawei Han:
When Do GNNs Work: Understanding and Improving Neighborhood Aggregation. IJCAI 2020: 1303-1309 - [c656]Dawei Zhou, Lecheng Zheng, Jiawei Han, Jingrui He:
A Data-Driven Graph Generative Model for Temporal Interaction Networks. KDD 2020: 401-411 - [c655]Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han:
Unsupervised Differentiable Multi-aspect Network Embedding. KDD 2020: 1435-1445 - [c654]Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han:
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. KDD 2020: 1908-1917 - [c653]Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han:
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring. KDD 2020: 1928-1936 - [c652]Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han:
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. KDD 2020: 2247-2257 - [c651]Carl Yang, Aditya Pal, Andrew Zhai, Nikil Pancha, Jiawei Han, Charles Rosenberg, Jure Leskovec:
MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks. KDD 2020: 2434-2443 - [c650]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. KDD 2020: 2724-2734 - [c649]Yu Meng, Jiaxin Huang, Jiawei Han:
Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis. KDD 2020: 3573-3574 - [c648]Wanzheng Zhu, Hongyu Gong, Jiaming Shen, Chao Zhang, Jingbo Shang, Suma Bhat, Jiawei Han:
FUSE: Multi-faceted Set Expansion by Coherent Clustering of Skip-Grams. ECML/PKDD (3) 2020: 617-632 - [c647]Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han:
Minimally Supervised Categorization of Text with Metadata. SIGIR 2020: 1231-1240 - [c646]Honglei Zhuang, Fang Guo, Chao Zhang, Liyuan Liu, Jiawei Han:
Joint Aspect-Sentiment Analysis with Minimal User Guidance. SIGIR 2020: 1241-1250 - [c645]Carl Yang, Jieyu Zhang, Haonan Wang, Bangzheng Li, Jiawei Han:
Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization. SIGIR 2020: 1629-1632 - [c644]Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han:
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. WSDM 2020: 510-518 - [c643]Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han:
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. WSDM 2020: 699-707 - [c642]Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han:
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. WWW 2020: 486-497 - [c641]Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, You Wu, Cong Yu, Daniel Finnie, Hongkun Yu, Jiaqi Zhai, Nicholas Zukoski:
Generating Representative Headlines for News Stories. WWW 2020: 1773-1784 - [c640]Jingbo Shang, Xinyang Zhang, Liyuan Liu, Sha Li, Jiawei Han:
NetTaxo: Automated Topic Taxonomy Construction from Text-Rich Network. WWW 2020: 1908-1919 - [c639]Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Yu Zhang, Jiawei Han:
Discriminative Topic Mining via Category-Name Guided Text Embedding. WWW 2020: 2121-2132 - [c638]Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han:
Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. WWW 2020: 2188-2198 - [c637]Qi Zhu, Hao Wei, Bunyamin Sisman, Da Zheng, Christos Faloutsos, Xin Luna Dong, Jiawei Han:
Collective Multi-type Entity Alignment Between Knowledge Graphs. WWW 2020: 2241-2252 - [i106]Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han:
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. CoRR abs/2001.00132 (2020) - [i105]Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, Hongkun Yu, You Wu, Cong Yu, Daniel Finnie, Jiaqi Zhai, Nicholas Zukoski:
Generating Representative Headlines for News Stories. CoRR abs/2001.09386 (2020) - [i104]Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han:
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. CoRR abs/2001.09522 (2020) - [i103]Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han:
Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. CoRR abs/2001.10106 (2020) - [i102]Carl Yang, Mengxiong Liu, Frank He, Jian Peng, Jiawei Han:
cube2net: Efficient Query-Specific Network Construction with Data Cube Organization. CoRR abs/2002.00841 (2020) - [i101]Xuan Wang, Xiangchen Song, Yingjun Guan, Bangzheng Li, Jiawei Han:
Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision. CoRR abs/2003.12218 (2020) - [i100]Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han:
Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond. CoRR abs/2004.00216 (2020) - [i99]Liyuan Liu, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Jiawei Han:
Understanding the Difficulty of Training Transformers. CoRR abs/2004.08249 (2020) - [i98]Xuan Wang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Jiawei Han:
Automatic Textual Evidence Mining in COVID-19 Literature. CoRR abs/2004.12563 (2020) - [i97]Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han:
Empower Entity Set Expansion via Language Model Probing. CoRR abs/2004.13897 (2020) - [i96]Shi Zhi, Liyuan Liu, Yu Zhang, Shiyin Wang, Qi Li, Chao Zhang, Jiawei Han:
Partially-Typed NER Datasets Integration: Connecting Practice to Theory. CoRR abs/2005.00502 (2020) - [i95]Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han:
Minimally Supervised Categorization of Text with Metadata. CoRR abs/2005.00624 (2020) - [i94]Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han:
Unsupervised Differentiable Multi-aspect Network Embedding. CoRR abs/2006.04239 (2020) - [i93]Jinfeng Xiao, Lidan Wang, Franck Dernoncourt, Trung Bui, Tong Sun, Jiawei Han:
Open-Domain Question Answering with Pre-Constructed Question Spaces. CoRR abs/2006.08337 (2020) - [i92]Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han:
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. CoRR abs/2006.10276 (2020) - [i91]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. CoRR abs/2006.13473 (2020) - [i90]Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych:
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. CoRR abs/2007.00576 (2020) - [i89]Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han:
GCN for HIN via Implicit Utilization of Attention and Meta-paths. CoRR abs/2007.02643 (2020) - [i88]Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han:
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. CoRR abs/2007.09536 (2020) - [i87]Qi Zhu, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han, Carl Yang:
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization. CoRR abs/2009.05204 (2020) - [i86]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Generation-Augmented Retrieval for Open-domain Question Answering. CoRR abs/2009.08553 (2020) - [i85]Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han:
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery. CoRR abs/2009.13827 (2020) - [i84]Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han:
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning. CoRR abs/2010.00117 (2020) - [i83]Jiaming Shen, Heng Ji, Jiawei Han:
Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding. CoRR abs/2010.00677 (2020) - [i82]Wanzheng Zhu, Chao Zhang, Shuochao Yao, Xiaobin Gao, Jiawei Han:
A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling. CoRR abs/2010.01986 (2020) - [i81]Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han:
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding. CoRR abs/2010.06705 (2020) - [i80]Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han:
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring. CoRR abs/2010.06714 (2020) - [i79]Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han:
Text Classification Using Label Names Only: A Language Model Self-Training Approach. CoRR abs/2010.07245 (2020) - [i78]Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Jiawei Han, Weizhu Chen:
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding. CoRR abs/2010.08670 (2020) - [i77]Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han:
BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks. CoRR abs/2010.12157 (2020) - [i76]Xiaotao Gu, Liyuan Liu, Hongkun Yu, Jing Li, Chen Chen, Jiawei Han:
On the Transformer Growth for Progressive BERT Training. CoRR abs/2010.12562 (2020) - [i75]Yuning Mao, Xiang Ren, Heng Ji, Jiawei Han:
Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation. CoRR abs/2010.12723 (2020) - [i74]Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han:
Hierarchical Metadata-Aware Document Categorization under Weak Supervision. CoRR abs/2010.13556 (2020) - [i73]Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han:
Few-Shot Named Entity Recognition: A Comprehensive Study. CoRR abs/2012.14978 (2020)
2010 – 2019
- 2019
- [b10]Chao Zhang, Jiawei Han:
Multidimensional Mining of Massive Text Data. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2019, ISBN 978-3-031-00786-6 - [j191]Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han:
Cross-type biomedical named entity recognition with deep multi-task learning. Bioinform. 35(10): 1745-1752 (2019) - [j190]Yu Meng, Jiaxin Huang, Jingbo Shang, Jiawei Han:
TextCube: Automated Construction and Multidimensional Exploration. Proc. VLDB Endow. 12(12): 1974-1977 (2019) - [c636]Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler, Jiawei Han:
Mining Entity Synonyms with Efficient Neural Set Generation. AAAI 2019: 249-256 - [c635]Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han:
Weakly-Supervised Hierarchical Text Classification. AAAI 2019: 6826-6833 - [c634]Ying Lin, Liyuan Liu, Heng Ji, Dong Yu, Jiawei Han:
Reliability-aware Dynamic Feature Composition for Name Tagging. ACL (1) 2019: 165-174 - [c633]Xuan Wang, Yu Zhang, Qi Li, Xiang Ren, Jingbo Shang, Jiawei Han:
Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion. BIBM 2019: 496-503 - [c632]Ahmed El-Kishky, Frank F. Xu, Aston Zhang, Jiawei Han:
Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings. IEEE BigData 2019: 64-73 - [c631]Hyungsul Kim, Ahmed El-Kishky, Xiang Ren, Jiawei Han:
Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach. IEEE BigData 2019: 105-114 - [c630]Jiawei Han:
From Unstructured Text to TextCube: Automated Construction and Multidimensional Exploration. CIKM 2019: 5-6 - [c629]Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu:
Task-Guided Pair Embedding in Heterogeneous Network. CIKM 2019: 489-498 - [c628]Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han:
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity. CIKM 2019: 599-608 - [c627]Carl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han:
Query-Specific Knowledge Summarization with Entity Evolutionary Networks. CIKM 2019: 2121-2124 - [c626]Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren:
Hierarchical Text Classification with Reinforced Label Assignment. EMNLP/IJCNLP (1) 2019: 445-455 - [c625]Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han:
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations. EMNLP/IJCNLP (1) 2019: 5153-5162 - [c624]Carl Yang, Jieyu Zhang, Jiawei Han:
Neural Embedding Propagation on Heterogeneous Networks. ICDM 2019: 698-707 - [c623]Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han:
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. ICDM 2019: 876-885 - [c622]Carl Yang, Jiawei Han:
cube2net: Efficient Query-Specific Network Construction with Data Cube Organization. ICDM Workshops 2019: 1088-1089 - [c621]Jingbo Shang, Jiaming Shen, Liyuan Liu, Jiawei Han:
Constructing and Mining Heterogeneous Information Networks from Massive Text. KDD 2019: 3191-3192 - [c620]Diya Li, Lifu Huang, Heng Ji, Jiawei Han:
Biomedical Event Extraction based on Knowledge-driven Tree-LSTM. NAACL-HLT (1) 2019: 1421-1430 - [c619]Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han:
Spherical Text Embedding. NeurIPS 2019: 8206-8215 - [c618]Yu Shi, Xinwei He, Naijing Zhang, Carl Yang, Jiawei Han:
User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive Transcription. ECML/PKDD (1) 2019: 361-377 - [c617]Sha Li, Chao Zhang, Dongming Lei, Ji Li, Jiawei Han:
GeoAttn: Localization of Social Media Messages via Attentional Memory Network. SDM 2019: 64-72 - [c616]Liyuan Liu, Jingbo Shang, Jiawei Han:
Arabic Named Entity Recognition: What Works and What's Next. WANLP@ACL 2019 2019: 60-67 - [c615]Ahmed El-Kishky, Xingyu Fu, Aseel Addawood, Nahil A. Sobh, Clare R. Voss, Jiawei Han:
Constrained Sequence-to-sequence Semitic Root Extraction for Enriching Word Embeddings. WANLP@ACL 2019 2019: 88-96 - [c614]Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Ahmed El-Kishky, Jiawei Han:
Integrating Local Context and Global Cohesiveness for Open Information Extraction. WSDM 2019: 42-50 - [c613]Shuochao Yao, Ailing Piao, Wenjun Jiang, Yiran Zhao, Huajie Shao, Shengzhong Liu, Dongxin Liu, Jinyang Li, Tianshi Wang, Shaohan Hu, Lu Su, Jiawei Han, Tarek F. Abdelzaher:
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks. WWW 2019: 2192-2202 - [c612]Carl Yang, Do Huy Hoang, Tomás Mikolov, Jiawei Han:
Place Deduplication with Embeddings. WWW 2019: 3420-3426 - [i72]Shuochao Yao, Ailing Piao, Wenjun Jiang, Yiran Zhao, Huajie Shao, Shengzhong Liu, Dongxin Liu, Jinyang Li, Tianshi Wang, Shaohan Hu, Lu Su, Jiawei Han, Tarek F. Abdelzaher:
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks. CoRR abs/1902.07849 (2019) - [i71]Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu:
Task-Guided Pair Embedding in Heterogeneous Network. CoRR abs/1906.01546 (2019) - [i70]Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han:
On the Variance of the Adaptive Learning Rate and Beyond. CoRR abs/1908.03265 (2019) - [i69]Liyuan Liu, Zihan Wang, Jingbo Shang, Dandong Yin, Heng Ji, Xiang Ren, Shaowen Wang, Jiawei Han:
Raw-to-End Name Entity Recognition in Social Media. CoRR abs/1908.05344 (2019) - [i68]Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han:
CatE: Category-Name GuidedWord Embedding. CoRR abs/1908.07162 (2019) - [i67]Ahmed El-Kishky, Frank F. Xu, Aston Zhang, Jiawei Han:
Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings. CoRR abs/1908.07832 (2019) - [i66]Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han:
Facet-Aware Evaluation for Extractive Text Summarization. CoRR abs/1908.10383 (2019) - [i65]Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren:
Hierarchical Text Classification with Reinforced Label Assignment. CoRR abs/1908.10419 (2019) - [i64]Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han:
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations. CoRR abs/1909.01441 (2019) - [i63]Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han:
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity. CoRR abs/1909.01584 (2019) - [i62]Carl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han:
Query-Specific Knowledge Summarization with Entity Evolutionary Networks. CoRR abs/1909.13183 (2019) - [i61]Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han:
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights. CoRR abs/1910.00004 (2019) - [i60]Carl Yang, Jieyu Zhang, Jiawei Han:
Neural Embedding Propagation on Heterogeneous Networks. CoRR abs/1910.00005 (2019) - [i59]Carl Yang, Xiaolin Shi, Luo Jie, Jiawei Han:
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application. CoRR abs/1910.01447 (2019) - [i58]Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han:
Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery. CoRR abs/1910.01448 (2019) - [i57]Carl Yang, Dai Teng, Siyang Liu, Sayantani Basu, Jieyu Zhang, Jiaming Shen, Chao Zhang, Jingbo Shang, Lance M. Kaplan, Timothy Harratty, Jiawei Han:
CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining. CoRR abs/1910.01451 (2019) - [i56]Wanzheng Zhu, Hongyu Gong, Jiaming Shen, Chao Zhang, Jingbo Shang, Suma Bhat, Jiawei Han:
FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams. CoRR abs/1910.04345 (2019) - [i55]Carl Yang, Do Huy Hoang, Tomás Mikolov, Jiawei Han:
Place Deduplication with Embeddings. CoRR abs/1910.04861 (2019) - [i54]Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han:
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. CoRR abs/1910.07115 (2019) - [i53]Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han:
SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble. CoRR abs/1910.08192 (2019) - [i52]Jiaming Shen, Zeqiu Wu, Dongming Lei, Chao Zhang, Xiang Ren, Michelle T. Vanni, Brian M. Sadler, Jiawei Han:
HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion. CoRR abs/1910.08194 (2019) - [i51]Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han:
Spherical Text Embedding. CoRR abs/1911.01196 (2019) - [i50]Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han:
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. CoRR abs/1911.05465 (2019) - [i49]Hyungsul Kim, Ahmed El-Kishky, Xiang Ren, Jiawei Han:
Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach. CoRR abs/1911.06407 (2019) - [i48]Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu:
Unsupervised Attributed Multiplex Network Embedding. CoRR abs/1911.06750 (2019) - [i47]Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian J. Henz, Hank Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen B. Marais, Prateek Mittal, Shaoshuai Mou, Xiaokang Qiu, Gesualdo Scutari:
Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures. CoRR abs/1912.11598 (2019) - 2018
- [b9]Xiang Ren, Jiawei Han:
Mining Structures of Factual Knowledge from Text: An Effort-Light Approach. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00784-2 - [j189]Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han:
Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks. Data Min. Knowl. Discov. 32(6): 1735-1767 (2018) - [j188]Julie Yixuan Zhu, Chao Zhang, Huichu Zhang, Shi Zhi, Victor O. K. Li, Jiawei Han, Yu Zheng:
pg-Causality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big Data. IEEE Trans. Big Data 4(4): 571-585 (2018) - [j187]Chao Zhang, Dongming Lei, Quan Yuan, Honglei Zhuang, Lance M. Kaplan, Shaowen Wang, Jiawei Han:
GeoBurst+: Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams. ACM Trans. Intell. Syst. Technol. 9(3): 34:1-34:24 (2018) - [j186]Wei Shen, Jiawei Han, Jianyong Wang, Xiaojie Yuan, Zhenglu Yang:
SHINE+: A General Framework for Domain-Specific Entity Linking with Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 30(2): 353-366 (2018) - [j185]Jingbo Shang, Meng Jiang, Wenzhu Tong, Jinfeng Xiao, Jian Peng, Jiawei Han:
DPPred: An Effective Prediction Framework with Concise Discriminative Patterns. IEEE Trans. Knowl. Data Eng. 30(7): 1226-1239 (2018) - [j184]Jingbo Shang, Jialu Liu, Meng Jiang, Xiang Ren, Clare R. Voss, Jiawei Han:
Automated Phrase Mining from Massive Text Corpora. IEEE Trans. Knowl. Data Eng. 30(10): 1825-1837 (2018) - [j183]Wenjun Jiang, Chenglin Miao, Lu Su, Qi Li, Shaohan Hu, Shiguang Wang, Jing Gao, Hengchang Liu, Tarek F. Abdelzaher, Jiawei Han, Xue (Steve) Liu, Yan Gao, Lance M. Kaplan:
Towards Quality Aware Information Integration in Distributed Sensing Systems. IEEE Trans. Parallel Distributed Syst. 29(1): 198-211 (2018) - [c611]Chao Zhang, Mengxiong Liu, Zhengchao Liu, Carl Yang, Luming Zhang, Jiawei Han:
Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach. AAAI 2018: 531-538 - [c610]Wanzheng Zhu, Chao Zhang, Shuochao Yao, Xiaobin Gao, Jiawei Han:
A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling. AAAI 2018: 4613-4620 - [c609]Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng, Jiawei Han:
Empower Sequence Labeling with Task-Aware Neural Language Model. AAAI 2018: 5253-5260 - [c608]Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han:
End-to-End Reinforcement Learning for Automatic Taxonomy Induction. ACL (1) 2018: 2462-2472 - [c607]Carl Yang, Mengxiong Liu, Vincent W. Zheng, Jiawei Han:
Node, Motif and Subgraph: Leveraging Network Functional Blocks Through Structural Convolution. ASONAM 2018: 47-52 - [c606]Xuan Wang, Yu Zhang, Qi Li, Yinyin Chen, Jiawei Han:
Open Information Extraction with Meta-pattern Discovery in Biomedical Literature. BCB 2018: 291-300 - [c605]Qi Li, Xuan Wang, Yu Zhang, Fei Ling, Cathy H. Wu, Jiawei Han:
Pattern Discovery for Wide-Window Open Information Extraction in Biomedical Literature. BIBM 2018: 420-427 - [c604]Xuan Wang, Yu Zhang, Qi Li, Cathy H. Wu, Jiawei Han:
PENNER: Pattern-enhanced Nested Named Entity Recognition in Biomedical Literature. BIBM 2018: 540-547 - [c603]Quan Yuan, Xiang Ren, Wenqi He, Chao Zhang, Xinhe Geng, Lifu Huang, Heng Ji, Chin-Yew Lin, Jiawei Han:
Open-Schema Event Profiling for Massive News Corpora. CIKM 2018: 587-596 - [c602]Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han:
Weakly-Supervised Neural Text Classification. CIKM 2018: 983-992 - [c601]Jingbo Shang, Jiaming Shen, Tianhang Sun, Xingbang Liu, Anja Gruenheid, Flip Korn, Ádám D. Lelkes, Cong Yu, Jiawei Han:
Investigating Rumor News Using Agreement-Aware Search. CIKM 2018: 2117-2125 - [c600]Liyuan Liu, Xiang Ren, Jingbo Shang, Xiaotao Gu, Jian Peng, Jiawei Han:
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. EMNLP 2018: 1215-1225 - [c599]Jingbo Shang, Liyuan Liu, Xiaotao Gu, Xiang Ren, Teng Ren, Jiawei Han:
Learning Named Entity Tagger using Domain-Specific Dictionary. EMNLP 2018: 2054-2064 - [c598]Carl Yang, Chao Zhang, Xuewen Chen, Jieping Ye, Jiawei Han:
Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding. ICDE 2018: 1392-1403 - [c597]Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han:
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights. ICDM 2018: 657-666 - [c596]Shi Zhi, Fan Yang, Zheyi Zhu, Qi Li, Zhaoran Wang, Jiawei Han:
Dynamic Truth Discovery on Numerical Data. ICDM 2018: 817-826 - [c595]Fangbo Tao, Chao Zhang, Xiusi Chen, Meng Jiang, Tim Hanratty, Lance M. Kaplan, Jiawei Han:
Doc2Cube: Allocating Documents to Text Cube Without Labeled Data. ICDM 2018: 1260-1265 - [c594]Doris Xin, Ahmed El-Kishky, De Liao, Brandon Norick, Jiawei Han:
Active Learning on Heterogeneous Information Networks: A Multi-armed Bandit Approach. ICDM 2018: 1350-1355 - [c593]Carl Yang, Xiaolin Shi, Luo Jie, Jiawei Han:
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application. KDD 2018: 914-922 - [c592]Qi Li, Meng Jiang, Xikun Zhang, Meng Qu, Timothy P. Hanratty, Jing Gao, Jiawei Han:
TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction. KDD 2018: 1675-1684 - [c591]Jiaming Shen, Zeqiu Wu, Dongming Lei, Chao Zhang, Xiang Ren, Michelle T. Vanni, Brian M. Sadler, Jiawei Han:
HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion. KDD 2018: 2180-2189 - [c590]Yu Shi, Qi Zhu, Fang Guo, Chao Zhang, Jiawei Han:
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks. KDD 2018: 2190-2199 - [c589]Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian M. Sadler, Michelle Vanni, Jiawei Han:
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering. KDD 2018: 2701-2709 - [c588]William Dron, Andrew Hunter, Ali Sydney, Siddharth Pal, John P. Hancock, Lisa Scott, Tarek F. Abdelzaher, Jiawei Han, Sibel Adali, Benjamin D. Horne:
Multi-Domain Integration and Correlation Engine. MILCOM 2018: 1-9 - [c587]Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han:
Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery. ECML/PKDD (2) 2018: 37-54 - [c586]Sheng Wang, Jianzhu Ma, Michael Ku Yu, Fan Zheng, Edward W. Huang, Jiawei Han, Jian Peng, Trey Ideker:
Annotating gene sets by mining large literature collections with protein networks. PSB 2018: 601-613 - [c585]Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han:
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. SDM 2018: 144-152 - [c584]Jiaming Shen, Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha, Jiawei Han:
Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach. SIGIR 2018: 565-574 - [c583]Jiawei Han:
On the Power of Massive Text Data. WSDM 2018: 2 - [c582]Meng Qu, Jian Tang, Jiawei Han:
Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning. WSDM 2018: 468-476 - [c581]Zeqiu Wu, Xiang Ren, Frank F. Xu, Ji Li, Jiawei Han:
Indirect Supervision for Relation Extraction using Question-Answer Pairs. WSDM 2018: 646-654 - [c580]Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han:
Open Information Extraction with Global Structure Constraints. WWW (Companion Volume) 2018: 57-58 - [c579]Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han:
Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning. WWW 2018: 1257-1266 - [r30]Jiawei Han:
Data Mining. Encyclopedia of Database Systems (2nd ed.) 2018 - [r29]Jiawei Han, Bolin Ding:
Stream Mining. Encyclopedia of Database Systems (2nd ed.) 2018 - [r28]Hong Cheng, Jiawei Han:
Frequent Itemsets and Association Rules. Encyclopedia of Database Systems (2nd ed.) 2018 - [r27]Hong Cheng, Jiawei Han:
Pattern-Growth Methods. Encyclopedia of Database Systems (2nd ed.) 2018 - [r26]Yizhou Sun, Jiawei Han:
Ranking Methods for Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [r25]Chi Wang, Jiawei Han:
Role Discovery. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i46]Yu Shi, Fangqiu Han, Xinran He, Carl Yang, Jie Luo, Jiawei Han:
mvn2vec: Preservation and Collaboration in Multi-View Network Embedding. CoRR abs/1801.06597 (2018) - [i45]Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han:
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning. CoRR abs/1801.09851 (2018) - [i44]Jingbo Shang, Xiyao Shi, Meng Jiang, Liyuan Liu, Timothy P. Hanratty, Jiawei Han:
Contrast Subgraph Mining from Coherent Cores. CoRR abs/1802.06189 (2018) - [i43]Jingbo Shang, Tianhang Sun, Jiaming Shen, Xingbang Liu, Anja Gruenheid, Flip Korn, Ádám D. Lelkes, Cong Yu, Jiawei Han:
Investigating Rumor News Using Agreement-Aware Search. CoRR abs/1802.07398 (2018) - [i42]Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han:
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. CoRR abs/1803.01848 (2018) - [i41]Huan Gui, Qi Zhu, Liyuan Liu, Aston Zhang, Jiawei Han:
Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings. CoRR abs/1803.03370 (2018) - [i40]Liyuan Liu, Xiang Ren, Jingbo Shang, Jian Peng, Jiawei Han:
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. CoRR abs/1804.07827 (2018) - [i39]Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han:
Integrating Local Context and Global Cohesiveness for Open Information Extraction. CoRR abs/1804.09931 (2018) - [i38]Jiaming Shen, Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha, Jiawei Han:
Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach. CoRR abs/1804.10877 (2018) - [i37]Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han:
End-to-End Reinforcement Learning for Automatic Taxonomy Induction. CoRR abs/1805.04044 (2018) - [i36]Yu Shi, Qi Zhu, Fang Guo, Chao Zhang, Jiawei Han:
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks. CoRR abs/1807.03490 (2018) - [i35]Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han:
Weakly-Supervised Neural Text Classification. CoRR abs/1809.01478 (2018) - [i34]Jingbo Shang, Liyuan Liu, Xiang Ren, Xiaotao Gu, Teng Ren, Jiawei Han:
Learning Named Entity Tagger using Domain-Specific Dictionary. CoRR abs/1809.03599 (2018) - [i33]Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler, Jiawei Han:
Mining Entity Synonyms with Efficient Neural Set Generation. CoRR abs/1811.07032 (2018) - [i32]Yu Shi, Xinwei He, Naijing Zhang, Carl Yang, Jiawei Han:
Higher-Order Clustering in Heterogeneous Information Networks. CoRR abs/1811.11320 (2018) - [i31]Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian M. Sadler, Michelle Vanni, Jiawei Han:
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering. CoRR abs/1812.09551 (2018) - [i30]Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han:
Weakly-Supervised Hierarchical Text Classification. CoRR abs/1812.11270 (2018) - 2017
- [b8]Jialu Liu, Jingbo Shang, Jiawei Han:
Phrase Mining from Massive Text and Its Applications. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2017, ISBN 978-3-031-00782-8 - [j182]Lifu Huang, Jonathan May, Xiaoman Pan, Heng Ji, Xiang Ren, Jiawei Han, Lin Zhao, James A. Hendler:
Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems. Big Data 5(1): 19-31 (2017) - [j181]Xiuli Ma, Guangyu Zhou, Jingbo Shang, Jingjing Wang, Jian Peng, Jiawei Han:
Detection of Complexes in Biological Networks Through Diversified Dense Subgraph Mining. J. Comput. Biol. 24(9): 923-941 (2017) - [j180]Huan Gui, Jialu Liu, Fangbo Tao, Meng Jiang, Brandon Norick, Lance M. Kaplan, Jiawei Han:
Embedding Learning with Events in Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 29(11): 2428-2441 (2017) - [c578]Xiang Ren, Jiaming Shen, Meng Qu, Xuan Wang, Zeqiu Wu, Qi Zhu, Meng Jiang, Fangbo Tao, Saurabh Sinha, David Liem, Peipei Ping, Richard M. Weinshilboum, Jiawei Han:
Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. ACL (System Demonstrations) 2017: 55-60 - [c577]Quan Yuan, Jingbo Shang, Xin Cao, Chao Zhang, Xinhe Geng, Jiawei Han:
Detecting Multiple Periods and Periodic Patterns in Event Time Sequences. CIKM 2017: 617-626 - [c576]Adit Krishnan, Aravind Sankar, Shi Zhi, Jiawei Han:
Unsupervised Concept Categorization and Extraction from Scientific Document Titles. CIKM 2017: 1339-1348 - [c575]Chenguang Wang, Yangqiu Song, Haoran Li, Yizhou Sun, Ming Zhang, Jiawei Han:
Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks. CIKM 2017: 1629-1638 - [c574]Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han:
An Attention-based Collaboration Framework for Multi-View Network Representation Learning. CIKM 2017: 1767-1776 - [c573]Mengxiong Liu, Zhengchao Liu, Chao Zhang, Keyang Zhang, Quan Yuan, Tim Hanratty, Jiawei Han:
Urbanity: A System for Interactive Exploration of Urban Dynamics from Streaming Human Sensing Data. CIKM 2017: 2503-2506 - [c572]Shi Zhi, Yicheng Sun, Jiayi Liu, Chao Zhang, Jiawei Han:
ClaimVerif: A Real-time Claim Verification System Using the Web and Fact Databases. CIKM 2017: 2555-2558 - [c571]Liyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han:
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach. EMNLP 2017: 46-56 - [c570]Honglei Zhuang, Chi Wang, Fangbo Tao, Lance M. Kaplan, Jiawei Han:
Identifying Semantically Deviating Outlier Documents. EMNLP 2017: 2748-2757 - [c569]Jiawei Zhang, Jianhui Chen, Shi Zhi, Yi Chang, Philip S. Yu, Jiawei Han:
Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation. ICDE 2017: 971-982 - [c568]Chao Zhang, Quan Yuan, Jiawei Han:
Bringing Semantics to Spatiotemporal Data Mining: Challenges, Methods, and Applications. ICDE 2017: 1455-1458 - [c567]Jiawei Han:
Mining structures from massive text data: will it help software engineering? ASE 2017: 2 - [c566]Yu Shi, Po-Wei Chan, Honglei Zhuang, Huan Gui, Jiawei Han:
PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks. KDD 2017: 425-434 - [c565]Chao Zhang, Liyuan Liu, Dongming Lei, Quan Yuan, Honglei Zhuang, Tim Hanratty, Jiawei Han:
TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams. KDD 2017: 595-604 - [c564]Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han:
MetaPAD: Meta Pattern Discovery from Massive Text Corpora. KDD 2017: 877-886 - [c563]Meng Qu, Xiang Ren, Jiawei Han:
Automatic Synonym Discovery with Knowledge Bases. KDD 2017: 997-1005 - [c562]Carl Yang, Lanxiao Bai, Chao Zhang, Quan Yuan, Jiawei Han:
Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation. KDD 2017: 1245-1254 - [c561]Jiawei Han, Dongming Yan, Lili Wang, Qinping Zhao:
Computing Restricted Voronoi Diagram on Graphics Hardware. PG (Short Papers) 2017: 23-26 - [c560]Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han:
SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble. ECML/PKDD (1) 2017: 288-304 - [c559]Chao Zhang, Keyang Zhang, Quan Yuan, Fangbo Tao, Luming Zhang, Tim Hanratty, Jiawei Han:
ReAct: Online Multimodal Embedding for Recency-Aware Spatiotemporal Activity Modeling. SIGIR 2017: 245-254 - [c558]Jiawei Han:
Construction of Structured Heterogeneous Networks from Massive Text Data: Extended Abstract. NDA@SIGMOD 2017: 1:1 - [c557]Xiang Ren, Meng Jiang, Jingbo Shang, Jiawei Han:
Building Structured Databases of Factual Knowledge from Massive Text Corpora. SIGMOD Conference 2017: 1741-1745 - [c556]Jiawei Han:
Mining Structures from Massive Text Data: A Data-Driven Approach. SIMBig 2017: 16-19 - [c555]Quan Yuan, Wei Zhang, Chao Zhang, Xinhe Geng, Gao Cong, Jiawei Han:
PRED: Periodic Region Detection for Mobility Modeling of Social Media Users. WSDM 2017: 263-272 - [c554]Xiang Ren, Yuanhua Lv, Kuansan Wang, Jiawei Han:
Comparative Document Analysis for Large Text Corpora. WSDM 2017: 325-334 - [c553]Chao Zhang, Keyang Zhang, Quan Yuan, Haoruo Peng, Yu Zheng, Tim Hanratty, Shaowen Wang, Jiawei Han:
Regions, Periods, Activities: Uncovering Urban Dynamics via Cross-Modal Representation Learning. WWW 2017: 361-370 - [c552]Xiang Ren, Meng Jiang, Jingbo Shang, Jiawei Han:
Constructing Structured Information Networks from Massive Text Corpora. WWW (Companion Volume) 2017: 951-954 - [c551]Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Tarek F. Abdelzaher, Jiawei Han:
CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases. WWW 2017: 1015-1024 - [r24]Jiawei Han:
OLAP, Spatial. Encyclopedia of GIS 2017: 1479-1482 - [r23]Xin Jin, Jiawei Han:
Expectation Maximization Clustering. Encyclopedia of Machine Learning and Data Mining 2017: 480-482 - [r22]Xin Jin, Jiawei Han:
K-Means Clustering. Encyclopedia of Machine Learning and Data Mining 2017: 695-697 - [r21]Xin Jin, Jiawei Han:
K-Medoids Clustering. Encyclopedia of Machine Learning and Data Mining 2017: 697-700 - [r20]Xin Jin, Jiawei Han:
K-Way Spectral Clustering. Encyclopedia of Machine Learning and Data Mining 2017: 700 - [r19]Xin Jin, Jiawei Han:
Locality Sensitive Hashing Based Clustering. Encyclopedia of Machine Learning and Data Mining 2017: 758-759 - [r18]Xin Jin, Jiawei Han:
Mean Shift. Encyclopedia of Machine Learning and Data Mining 2017: 806-808 - [r17]Xin Jin, Jiawei Han:
Partitional Clustering. Encyclopedia of Machine Learning and Data Mining 2017: 973-974 - [r16]Xin Jin, Jiawei Han:
Quality Threshold Clustering. Encyclopedia of Machine Learning and Data Mining 2017: 1033-1034 - [i29]Jingbo Shang, Jialu Liu, Meng Jiang, Xiang Ren, Clare R. Voss, Jiawei Han:
Automated Phrase Mining from Massive Text Corpora. CoRR abs/1702.04457 (2017) - [i28]Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han:
MetaPAD: Meta Pattern Discovery from Massive Text Corpora. CoRR abs/1703.04213 (2017) - [i27]Yu Shi, Po-Wei Chan, Honglei Zhuang, Huan Gui, Jiawei Han:
PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks. CoRR abs/1706.01177 (2017) - [i26]Meng Qu, Xiang Ren, Jiawei Han:
Automatic Synonym Discovery with Knowledge Bases. CoRR abs/1706.08186 (2017) - [i25]Liyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han:
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach. CoRR abs/1707.00166 (2017) - [i24]Liyuan Liu, Jingbo Shang, Frank F. Xu, Xiang Ren, Huan Gui, Jian Peng, Jiawei Han:
Empower Sequence Labeling with Task-Aware Neural Language Model. CoRR abs/1709.04109 (2017) - [i23]Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han:
An Attention-based Collaboration Framework for Multi-View Network Representation Learning. CoRR abs/1709.06636 (2017) - [i22]Adit Krishnan, Aravind Sankar, Shi Zhi, Jiawei Han:
Unsupervised Concept Categorization and Extraction from Scientific Document Titles. CoRR abs/1710.02271 (2017) - [i21]Zeqiu Wu, Xiang Ren, Frank F. Xu, Ji Li, Jiawei Han:
Indirect Supervision for Relation Extraction using Question-Answer Pairs. CoRR abs/1710.11169 (2017) - [i20]Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han:
Overcoming Limited Supervision in Relation Extraction: A Pattern-enhanced Distributional Representation Approach. CoRR abs/1711.03226 (2017) - [i19]Carl Yang, Mengxiong Liu, Zongyi Wang, Liyuan Liu, Jiawei Han:
Graph Clustering with Dynamic Embedding. CoRR abs/1712.08249 (2017) - 2016
- [j179]Fangbo Tao, Honglei Zhuang, Chi Wang Yu, Qi Wang, Taylor Cassidy, Lance M. Kaplan, Clare R. Voss, Jiawei Han:
Multi-Dimensional, Phrase-Based Summarization in Text Cubes. IEEE Data Eng. Bull. 39(3): 74-84 (2016) - [j178]Jun Li, Jingjing Wang, Junfei Zhang, Qiming Qin, Tanvi Jindal, Jiawei Han:
A probabilistic approach to detect mixed periodic patterns from moving object data. GeoInformatica 20(4): 715-739 (2016) - [j177]Chenguang Wang, Yangqiu Song, Dan Roth, Ming Zhang, Jiawei Han:
World Knowledge as Indirect Supervision for Document Clustering. ACM Trans. Knowl. Discov. Data 11(2): 13:1-13:36 (2016) - [j176]Yaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, Jiawei Han:
Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery. IEEE Trans. Knowl. Data Eng. 28(8): 1986-1999 (2016) - [j175]Tahseen Al-Khateeb, Mohammad M. Masud, Khaled Al-Naami, Sadi Evren Seker, Ahmad M. Mustafa, Latifur Khan, Zouheir Trabelsi, Charu C. Aggarwal, Jiawei Han:
Recurring and Novel Class Detection Using Class-Based Ensemble for Evolving Data Stream. IEEE Trans. Knowl. Data Eng. 28(10): 2752-2764 (2016) - [c550]Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han:
Text Classification with Heterogeneous Information Network Kernels. AAAI 2016: 2130-2136 - [c549]Min Li, Jingjing Wang, Wenzhu Tong, Hongkun Yu, Xiuli Ma, Yucheng Chen, Haoyan Cai, Jiawei Han:
EKNOT: Event Knowledge from News and Opinions in Twitter. AAAI 2016: 4367-4368 - [c548]Lifu Huang, Taylor Cassidy, Xiaocheng Feng, Heng Ji, Clare R. Voss, Jiawei Han, Avirup Sil:
Liberal Event Extraction and Event Schema Induction. ACL (1) 2016 - [c547]Rostyslav Korolov, Di Lu, Jingjing Wang, Guangyu Zhou, Claire Bonial, Clare R. Voss, Lance M. Kaplan, William A. Wallace, Jiawei Han, Heng Ji:
On predicting social unrest using social media. ASONAM 2016: 89-95 - [c546]Huan Gui, Haishan Liu, Xiangrui Meng, Anmol Bhasin, Jiawei Han:
Downside management in recommender systems. ASONAM 2016: 394-401 - [c545]Qian Cheng, Jingbo Shang, Joshua Juen, Jiawei Han, Bruce R. Schatz:
Mining Discriminative Patterns to Predict Health Status for Cardiopulmonary Patients. BCB 2016: 41-49 - [c544]Jiawei Han:
On the power of big data: Mining structures from massive, unstructured text data. IEEE BigData 2016: 4 - [c543]Tarique Siddiqui, Xiang Ren, Aditya G. Parameswaran, Jiawei Han:
FacetGist: Collective Extraction of Document Facets in Large Technical Corpora. CIKM 2016: 871-880 - [c542]Hongkun Yu, Jingbo Shang, Meichun Hsu, Malú Castellanos, Jiawei Han:
Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis. CIKM 2016: 939-948 - [c541]Lidan Wang, Ming Tan, Jiawei Han:
FastHybrid: A Hybrid Model for Efficient Answer Selection. COLING 2016: 2378-2388 - [c540]Xiang Ren, Wenqi He, Meng Qu, Lifu Huang, Heng Ji, Jiawei Han:
AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding. EMNLP 2016: 1369-1378 - [c539]Huan Gui, Jialu Liu, Fangbo Tao, Meng Jiang, Brandon Norick, Jiawei Han:
Large-Scale Embedding Learning in Heterogeneous Event Data. ICDM 2016: 907-912 - [c538]Huan Gui, Jiawei Han, Quanquan Gu:
Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation. ICML 2016: 2300-2309 - [c537]Isaac Jones, Ran Wang, Jiawei Han, Huan Liu:
Community Cores: Removing Size Bias from Community Detection. ICWSM 2016: 603-606 - [c536]Wei Zhang, Quan Yuan, Jiawei Han, Jianyong Wang:
Collaborative Multi-Level Embedding Learning from Reviews for Rating Prediction. IJCAI 2016: 2986-2992 - [c535]Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han:
Learning Hostname Preference to Enhance Search Relevance. IJCAI 2016: 3903-3909 - [c534]Meng Jiang, Christos Faloutsos, Jiawei Han:
CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors. KDD 2016: 945-954 - [c533]Chao Zhang, Keyang Zhang, Quan Yuan, Luming Zhang, Tim Hanratty, Jiawei Han:
GMove: Group-Level Mobility Modeling Using Geo-Tagged Social Media. KDD 2016: 1305-1314 - [c532]Xiang Ren, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Jiawei Han:
Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding. KDD 2016: 1825-1834 - [c531]Mengting Wan, Xiangyu Chen, Lance M. Kaplan, Jiawei Han, Jing Gao, Bo Zhao:
From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach. KDD 2016: 1885-1894 - [c530]Jing Gao, Qi Li, Bo Zhao, Wei Fan, Jiawei Han:
Mining Reliable Information from Passively and Actively Crowdsourced Data. KDD 2016: 2121-2122 - [c529]Di Lu, Clare R. Voss, Fangbo Tao, Xiang Ren, Rachel Guan, Rostyslav Korolov, Tongtao Zhang, Dongang Wang, Hongzhi Li, Taylor Cassidy, Heng Ji, Shih-Fu Chang, Jiawei Han, William A. Wallace, James A. Hendler, Mei Si, Lance M. Kaplan:
Cross-media Event Extraction and Recommendation. HLT-NAACL Demos 2016: 72-76 - [c528]Xiuli Ma, Guangyu Zhou, Jingjing Wang, Jian Peng, Jiawei Han:
Complexes Detection in Biological Networks via Diversified Dense Subgraphs Mining. RECOMB 2016: 270-272 - [c527]Jingbo Shang, Jian Peng, Jiawei Han:
MACFP: Maximal Approximate Consecutive Frequent Pattern Mining under Edit Distance. SDM 2016: 558-566 - [c526]Jingbo Shang, Wenzhu Tong, Jian Peng, Jiawei Han:
DPClass: An Effective but Concise Discriminative Patterns-Based Classification Framework. SDM 2016: 567-575 - [c525]Chenguang Wang, Yizhou Sun, Yanglei Song, Jiawei Han, Yangqiu Song, Lidan Wang, Ming Zhang:
RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks. SDM 2016: 621-629 - [c524]Chao Zhang, Guangyu Zhou, Quan Yuan, Honglei Zhuang, Yu Zheng, Lance M. Kaplan, Shaowen Wang, Jiawei Han:
GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams. SIGIR 2016: 513-522 - [c523]Xiang Ren, Ahmed El-Kishky, Heng Ji, Jiawei Han:
Automatic Entity Recognition and Typing in Massive Text Data. SIGMOD Conference 2016: 2235-2239 - [c522]Jing Zhang, Honglei Zhuang, Yanglei Song, Jiawei Han, Yutao Zhang, Jie Tang, Juanzi Li:
Knowledge Fragment Enrichment Using Domain Knowledge Base. SMP 2016: 274-286 - [c521]Jingjing Wang, Min Li, Jiawei Han, Xiaolong Wang:
Modeling Check-in Preferences with Multidimensional Knowledge: A Minimax Entropy Approach. WSDM 2016: 297-306 - [c520]Aston Zhang, Amit Goyal, Ricardo Baeza-Yates, Yi Chang, Jiawei Han, Carl A. Gunter, Hongbo Deng:
Towards Mobile Query Auto-Completion: An Efficient Mobile Application-Aware Approach. WWW 2016: 579-590 - [c519]Xiang Ren, Ahmed El-Kishky, Chi Wang, Jiawei Han:
Automatic Entity Recognition and Typing in Massive Text Corpora. WWW (Companion Volume) 2016: 1025-1028 - [c518]Jialu Liu, Xiang Ren, Jingbo Shang, Taylor Cassidy, Clare R. Voss, Jiawei Han:
Representing Documents via Latent Keyphrase Inference. WWW 2016: 1057-1067 - [c517]Yang Li, Shulong Tan, Huan Sun, Jiawei Han, Dan Roth, Xifeng Yan:
Entity Disambiguation with Linkless Knowledge Bases. WWW 2016: 1261-1270 - [i18]Xiang Ren, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Jiawei Han:
Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding. CoRR abs/1602.05307 (2016) - [i17]Xiuli Ma, Guangyu Zhou, Jingjing Wang, Jian Peng, Jiawei Han:
Complexes Detection in Biological Networks via Diversified Dense Subgraphs Mining. CoRR abs/1604.03244 (2016) - [i16]Chenguang Wang, Yangqiu Song, Dan Roth, Ming Zhang, Jiawei Han:
World Knowledge as Indirect Supervision for Document Clustering. CoRR abs/1608.00104 (2016) - [i15]Julie Yixuan Zhu, Chao Zhang, Shi Zhi, Victor O. K. Li, Jiawei Han, Yu Zheng:
p-Causality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big Data. CoRR abs/1610.07045 (2016) - [i14]Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Tarek F. Abdelzaher, Jiawei Han:
CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases. CoRR abs/1610.08763 (2016) - [i13]Jingbo Shang, Meng Qu, Jialu Liu, Lance M. Kaplan, Jiawei Han, Jian Peng:
Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks. CoRR abs/1610.09769 (2016) - [i12]Jingbo Shang, Meng Jiang, Wenzhu Tong, Jinfeng Xiao, Jian Peng, Jiawei Han:
DPPred: An Effective Prediction Framework with Concise Discriminative Patterns. CoRR abs/1610.09778 (2016) - 2015
- [b7]Chi Wang, Jiawei Han:
Mining Latent Entity Structures. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2015, ISBN 978-3-031-00779-8 - [j174]Ming Ji, Qi He, Jiawei Han, W. Scott Spangler:
Mining strong relevance between heterogeneous entities from unstructured biomedical data. Data Min. Knowl. Discov. 29(4): 976-998 (2015) - [j173]Saurabh Sinha, Jun Song, Richard M. Weinshilboum, C. Victor Jongeneel, Jiawei Han:
KnowEnG: a knowledge engine for genomics. J. Am. Medical Informatics Assoc. 22(6): 1115-1119 (2015) - [j172]Chi Wang, Jialu Liu, Nihit Desai, Marina Danilevsky, Jiawei Han:
Constructing topical hierarchies in heterogeneous information networks. Knowl. Inf. Syst. 44(3): 529-558 (2015) - [j171]Jing Gao, Qi Li, Bo Zhao, Wei Fan, Jiawei Han:
Truth Discovery and Crowdsourcing Aggregation: A Unified Perspective. Proc. VLDB Endow. 8(12): 2048-2049 (2015) - [j170]Yaliang Li, Jing Gao, Chuishi Meng, Qi Li, Lu Su, Bo Zhao, Wei Fan, Jiawei Han:
A Survey on Truth Discovery. SIGKDD Explor. 17(2): 1-16 (2015) - [j169]Jun Li, Qiming Qin, Jiawei Han, Lu-An Tang, Kin Hou Lei:
Mining Trajectory Data and Geotagged Data in Social Media for Road Map Inference. Trans. GIS 19(1): 1-18 (2015) - [j168]Lu-An Tang, Xiao Yu, Quanquan Gu, Jiawei Han, Guofei Jiang, Alice Leung, Thomas La Porta:
A Framework of Mining Trajectories from Untrustworthy Data in Cyber-Physical System. ACM Trans. Knowl. Discov. Data 9(3): 16:1-16:35 (2015) - [j167]Wei Shen, Jianyong Wang, Jiawei Han:
Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions. IEEE Trans. Knowl. Data Eng. 27(2): 443-460 (2015) - [j166]Zhenhui Li, Jingjing Wang, Jiawei Han:
ePeriodicity: Mining Event Periodicity from Incomplete Observations. IEEE Trans. Knowl. Data Eng. 27(5): 1219-1232 (2015) - [j165]Jae-Gil Lee, Jiawei Han, Xiaolei Li:
A Unifying Framework of Mining Trajectory Patterns of Various Temporal Tightness. IEEE Trans. Knowl. Data Eng. 27(6): 1478-1490 (2015) - [j164]Yong Yang, Lu Su, Mohammad Maifi Hasan Khan, Michael LeMay, Tarek F. Abdelzaher, Jiawei Han:
Power-Based Diagnosis of Node Silence in Remote High-End Sensing Systems. ACM Trans. Sens. Networks 11(2): 33:1-33:33 (2015) - [c516]Jiawei Han, Heng Ji, Yizhou Sun:
Successful Data Mining Methods for NLP. ACL (Tutorial Abstracts) 2015: 1-4 - [c515]Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Sujian Li, Chin-Yew Lin, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han, Bülent Yener:
Context-aware Entity Morph Decoding. ACL (1) 2015: 586-595 - [c514]Chang Wan, Xiang Li, Ben Kao, Xiao Yu, Quanquan Gu, David Wai-Lok Cheung, Jiawei Han:
Classification with Active Learning and Meta-Paths in Heterogeneous Information Networks. CIKM 2015: 443-452 - [c513]Jonathan Kuck, Honglei Zhuang, Xifeng Yan, Hasan Cam, Jiawei Han:
Query-Based Outlier Detection in Heterogeneous Information Networks. EDBT 2015: 325-336 - [c512]Wei Feng, Chao Zhang, Wei Zhang, Jiawei Han, Jianyong Wang, Charu C. Aggarwal, Jianbin Huang:
STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream. ICDE 2015: 1561-1572 - [c511]Jingjing Wang, Wenzhu Tong, Hongkun Yu, Min Li, Xiuli Ma, Haoyan Cai, Tim Hanratty, Jiawei Han:
Mining Multi-aspect Reflection of News Events in Twitter: Discovery, Linking and Presentation. ICDM 2015: 429-438 - [c510]Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han:
KnowSim: A Document Similarity Measure on Structured Heterogeneous Information Networks. ICDM 2015: 1015-1020 - [c509]Chenguang Wang, Yangqiu Song, Dan Roth, Chi Wang, Jiawei Han, Heng Ji, Ming Zhang:
Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations. IJCAI 2015: 3882-3889 - [c508]Younghoon Kim, Jiawei Han, Cangzhou Yuan:
TOPTRAC: Topical Trajectory Pattern Mining. KDD 2015: 587-596 - [c507]Yaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, Jiawei Han:
On the Discovery of Evolving Truth. KDD 2015: 675-684 - [c506]Fenglong Ma, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, Jiawei Han:
FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation. KDD 2015: 745-754 - [c505]Xiang Ren, Ahmed El-Kishky, Chi Wang, Fangbo Tao, Clare R. Voss, Jiawei Han:
ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering. KDD 2015: 995-1004 - [c504]Chenguang Wang, Yangqiu Song, Ahmed El-Kishky, Dan Roth, Ming Zhang, Jiawei Han:
Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks. KDD 2015: 1215-1224 - [c503]Chi Wang, Xueqing Liu, Yanglei Song, Jiawei Han:
Towards Interactive Construction of Topical Hierarchy: A Recursive Tensor Decomposition Approach. KDD 2015: 1225-1234 - [c502]Chao Zhang, Yu Zheng, Xiuli Ma, Jiawei Han:
Assembler: Efficient Discovery of Spatial Co-evolving Patterns in Massive Geo-sensory Data. KDD 2015: 1415-1424 - [c501]Shi Zhi, Bo Zhao, Wenzhu Tong, Jing Gao, Dian Yu, Heng Ji, Jiawei Han:
Modeling Truth Existence in Truth Discovery. KDD 2015: 1543-1552 - [c500]Honglei Zhuang, Aditya G. Parameswaran, Dan Roth, Jiawei Han:
Debiasing Crowdsourced Batches. KDD 2015: 1593-1602 - [c499]Xiang Ren, Ahmed El-Kishky, Chi Wang, Jiawei Han:
Automatic Entity Recognition and Typing from Massive Text Corpora: A Phrase and Network Mining Approach. KDD 2015: 2319-2320 - [c498]Chao Zhang, Shan Jiang, Yucheng Chen, Yidan Sun, Jiawei Han:
Fast Inbound Top-K Query for Random Walk with Restart. ECML/PKDD (2) 2015: 608-624 - [c497]Shi Zhi, Jiawei Han, Quanquan Gu:
Robust Classification of Information Networks by Consistent Graph Learning. ECML/PKDD (2) 2015: 752-767 - [c496]Jialu Liu, Chi Wang, Jing Gao, Quanquan Gu, Charu C. Aggarwal, Lance M. Kaplan, Jiawei Han:
GIN: A Clustering Model for Capturing Dual Heterogeneity in Networked Data. SDM 2015: 388-396 - [c495]Mengting Wan, Yunbo Ouyang, Lance M. Kaplan, Jiawei Han:
Graph Regularized Meta-path Based Transductive Regression in Heterogeneous Information Network. SDM 2015: 918-926 - [c494]Aston Zhang, Amit Goyal, Weize Kong, Hongbo Deng, Anlei Dong, Yi Chang, Carl A. Gunter, Jiawei Han:
adaQAC: Adaptive Query Auto-Completion via Implicit Negative Feedback. SIGIR 2015: 143-152 - [c493]Jialu Liu, Jingbo Shang, Chi Wang, Xiang Ren, Jiawei Han:
Mining Quality Phrases from Massive Text Corpora. SIGMOD Conference 2015: 1729-1744 - [c492]Jialu Liu, Charu C. Aggarwal, Jiawei Han:
On Integrating Network and Community Discovery. WSDM 2015: 117-126 - [c491]Huan Gui, Ya Xu, Anmol Bhasin, Jiawei Han:
Network A/B Testing: From Sampling to Estimation. WWW 2015: 399-409 - [c490]Fangbo Tao, Bo Zhao, Ariel Fuxman, Yang Li, Jiawei Han:
Leveraging Pattern Semantics for Extracting Entities in Enterprises. WWW 2015: 1078-1088 - [i11]Yaliang Li, Jing Gao, Chuishi Meng, Qi Li, Lu Su, Bo Zhao, Wei Fan, Jiawei Han:
A Survey on Truth Discovery. CoRR abs/1505.02463 (2015) - [i10]Xiang Ren, Yuanhua Lv, Kuansan Wang, Jiawei Han:
Comparative Document Analysis for Large Text Corpora. CoRR abs/1510.07197 (2015) - 2014
- [b6]Manish Gupta, Jing Gao, Charu C. Aggarwal, Jiawei Han:
Outlier Detection for Temporal Data. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2014, ISBN 978-3-031-00777-4 - [j163]Yiyi Liu, Quanquan Gu, Jack P. Hou, Jiawei Han, Jian Ma:
A network-assisted co-clustering algorithm to discover cancer subtypes based on gene expression. BMC Bioinform. 15: 37 (2014) - [j162]Chao Zhang, Jiawei Han, Lidan Shou, Jiajun Lu, Thomas La Porta:
Splitter: Mining Fine-Grained Sequential Patterns in Semantic Trajectories. Proc. VLDB Endow. 7(9): 769-780 (2014) - [j161]Fei Wu, Tobias Kin Hou Lei, Zhenhui Li, Jiawei Han:
MoveMine 2.0: Mining Object Relationships from Movement Data. Proc. VLDB Endow. 7(13): 1613-1616 (2014) - [j160]Ahmed El-Kishky, Yanglei Song, Chi Wang, Clare R. Voss, Jiawei Han:
Scalable Topical Phrase Mining from Text Corpora. Proc. VLDB Endow. 8(3): 305-316 (2014) - [j159]Qi Li, Yaliang Li, Jing Gao, Lu Su, Bo Zhao, Murat Demirbas, Wei Fan, Jiawei Han:
A Confidence-Aware Approach for Truth Discovery on Long-Tail Data. Proc. VLDB Endow. 8(4): 425-436 (2014) - [j158]Hongbo Deng, Jiawei Han, Hao Li, Heng Ji, Hongning Wang, Yue Lu:
Exploring and inferring user-user pseudo-friendship for sentiment analysis with heterogeneous networks. Stat. Anal. Data Min. 7(4): 308-321 (2014) - [j157]Huan Liu, Jiawei Han, Hiroshi Motoda:
Uncovering deception in social media. Soc. Netw. Anal. Min. 4(1): 162 (2014) - [j156]Manish Gupta, Jing Gao, Charu C. Aggarwal, Jiawei Han:
Outlier Detection for Temporal Data: A Survey. IEEE Trans. Knowl. Data Eng. 26(9): 2250-2267 (2014) - [j155]Yizhou Sun, Jie Tang, Jiawei Han, Cheng Chen, Manish Gupta:
Co-Evolution of Multi-Typed Objects in Dynamic Star Networks. IEEE Trans. Knowl. Data Eng. 26(12): 2942-2955 (2014) - [j154]Mohammad Maifi Hasan Khan, Hieu Khac Le, Hossein Ahmadi, Tarek F. Abdelzaher, Jiawei Han:
Troubleshooting interactive complexity bugs in wireless sensor networks using data mining techniques. ACM Trans. Sens. Networks 10(2): 31:1-31:35 (2014) - [c489]Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han, Bülent Yener:
Be Appropriate and Funny: Automatic Entity Morph Encoding. ACL (2) 2014: 706-711 - [c488]Yingzhen Yang, Zhangyang Wang, Jianchao Yang, Jiawei Han, Thomas S. Huang:
Regularized l1-Graph for Data Clustering. BMVC 2014 - [c487]Huan Gui, Yizhou Sun, Jiawei Han, George Brova:
Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks. CIKM 2014: 649-658 - [c486]Dian Yu, Hongzhao Huang, Taylor Cassidy, Heng Ji, Chi Wang, Shi Zhi, Jiawei Han, Clare R. Voss, Malik Magdon-Ismail:
The Wisdom of Minority: Unsupervised Slot Filling Validation based on Multi-dimensional Truth-Finding. COLING 2014: 1567-1578 - [c485]Aston Zhang, Xing Xie, Kevin Chen-Chuan Chang, Carl A. Gunter, Jiawei Han, XiaoFeng Wang:
Privacy Risk in Anonymized Heterogeneous Information Networks. EDBT 2014: 595-606 - [c484]Manish Gupta, Jing Gao, Xifeng Yan, Hasan Cam, Jiawei Han:
Top-K interesting subgraph discovery in information networks. ICDE 2014: 820-831 - [c483]Quanquan Gu, Jiawei Han:
Online Spectral Learning on a Graph with Bandit Feedback. ICDM 2014: 833-838 - [c482]Honglei Zhuang, Jing Zhang, George Brova, Jie Tang, Hasan Çam, Xifeng Yan, Jiawei Han:
Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks. ICDM 2014: 1127-1132 - [c481]Xiang Ren, Jialu Liu, Xiao Yu, Urvashi Khandelwal, Quanquan Gu, Lidan Wang, Jiawei Han:
ClusCite: effective citation recommendation by information network-based clustering. KDD 2014: 821-830 - [c480]Bo Zong, Yinghui Wu, Jie Song, Ambuj K. Singh, Hasan Çam, Jiawei Han, Xifeng Yan:
Towards scalable critical alert mining. KDD 2014: 1057-1066 - [c479]Jiawei Han, Chi Wang, Ahmed El-Kishky:
Bringing structure to text: mining phrases, entities, topics, and hierarchies. KDD 2014: 1968 - [c478]Quanquan Gu, Huan Gui, Jiawei Han:
Robust Tensor Decomposition with Gross Corruption. NIPS 2014: 1422-1430 - [c477]Chi Wang, Xueqing Liu, Yanglei Song, Jiawei Han:
Scalable Moment-Based Inference for Latent Dirichlet Allocation. ECML/PKDD (3) 2014: 290-305 - [c476]Lu Su, Qi Li, Shaohan Hu, Shiguang Wang, Jing Gao, Hengchang Liu, Tarek F. Abdelzaher, Jiawei Han, Xue Liu, Yan Gao, Lance M. Kaplan:
Generalized Decision Aggregation in Distributed Sensing Systems. RTSS 2014: 1-10 - [c475]Manish Gupta, Arun Mallya, Subhro Roy, Jason H. D. Cho, Jiawei Han:
Local Learning for Mining Outlier Subgraphs from Network Datasets. SDM 2014: 73-81 - [c474]Marina Danilevsky, Chi Wang, Nihit Desai, Xiang Ren, Jingyi Guo, Jiawei Han:
Automatic Construction and Ranking of Topical Keyphrases on Collections of Short Documents. SDM 2014: 398-406 - [c473]Fangbo Tao, George Brova, Jiawei Han, Heng Ji, Chi Wang, Brandon Norick, Ahmed El-Kishky, Jialu Liu, Xiang Ren, Yizhou Sun:
NewsNetExplorer: automatic construction and exploration of news information networks. SIGMOD Conference 2014: 1091-1094 - [c472]Qi Li, Yaliang Li, Jing Gao, Bo Zhao, Wei Fan, Jiawei Han:
Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation. SIGMOD Conference 2014: 1187-1198 - [c471]Wei Shen, Jiawei Han, Jianyong Wang:
A probabilistic model for linking named entities in web text with heterogeneous information networks. SIGMOD Conference 2014: 1199-1210 - [c470]Jiawei Han, Chi Wang:
Mining latent entity structures from massive unstructured and interconnected data. SIGMOD Conference 2014: 1409-1410 - [c469]Quanquan Gu, Tong Zhang, Jiawei Han:
Batch-Mode Active Learning via Error Bound Minimization. UAI 2014: 300-309 - [c468]Bhaskar Prabhala, Jingjing Wang, Budhaditya Deb, Thomas La Porta, Jiawei Han:
Leveraging periodicity in human mobility for next place prediction. WCNC 2014: 2665-2670 - [c467]Xiang Ren, Yujing Wang, Xiao Yu, Jun Yan, Zheng Chen, Jiawei Han:
Heterogeneous graph-based intent learning with queries, web pages and Wikipedia concepts. WSDM 2014: 23-32 - [c466]Xiao Yu, Hao Ma, Bo-June Paul Hsu, Jiawei Han:
On building entity recommender systems using user click log and freebase knowledge. WSDM 2014: 263-272 - [c465]Xiao Yu, Xiang Ren, Yizhou Sun, Quanquan Gu, Bradley Sturt, Urvashi Khandelwal, Brandon Norick, Jiawei Han:
Personalized entity recommendation: a heterogeneous information network approach. WSDM 2014: 283-292 - [c464]Lidan Wang, Jimmy Lin, Donald Metzler, Jiawei Han:
Learning to efficiently rank on big data. WWW (Companion Volume) 2014: 209-210 - [c463]Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han:
A hierarchical Dirichlet model for taxonomy expansion for search engines. WWW 2014: 961-970 - [p33]Hongbo Deng, Yizhou Sun, Yi Chang, Jiawei Han:
Probabilistic Models for Classification. Data Classification: Algorithms and Applications 2014: 65-86 - [p32]Charu C. Aggarwal, Xiangnan Kong, Quanquan Gu, Jiawei Han, Philip S. Yu:
Active Learning: A Survey. Data Classification: Algorithms and Applications 2014: 571-606 - [p31]Jiawei Han, Jian Pei:
Pattern-Growth Methods. Frequent Pattern Mining 2014: 65-81 - [p30]Wei Shen, Jianyong Wang, Jiawei Han:
Sequential Pattern Mining. Frequent Pattern Mining 2014: 261-282 - [p29]Hong Cheng, Xifeng Yan, Jiawei Han:
Mining Graph Patterns. Frequent Pattern Mining 2014: 307-338 - [e6]Charu C. Aggarwal, Jiawei Han:
Frequent Pattern Mining. Springer 2014, ISBN 978-3-319-07820-5 [contents] - [r15]Yizhou Sun, Jiawei Han:
Ranking Methods for Networks. Encyclopedia of Social Network Analysis and Mining 2014: 1488-1497 - [r14]Chi Wang, Jiawei Han:
Role Discovery. Encyclopedia of Social Network Analysis and Mining 2014: 1589-1598 - [i9]Chi Wang, Xueqing Liu, Yanglei Song, Jiawei Han:
Scalable and Robust Construction of Topical Hierarchies. CoRR abs/1403.3460 (2014) - [i8]Ahmed El-Kishky, Yanglei Song, Chi Wang, Clare R. Voss, Jiawei Han:
Scalable Topical Phrase Mining from Text Corpora. CoRR abs/1406.6312 (2014) - 2013
- [j153]Lu-An Tang, Xiao Yu, Sangkyum Kim, Quanquan Gu, Jiawei Han, Alice Leung, Thomas La Porta:
Trustworthiness analysis of sensor data in cyber-physical systems. J. Comput. Syst. Sci. 79(3): 383-401 (2013) - [j152]Duo Zhang, ChengXiang Zhai, Jiawei Han:
MiTexCube: MicroTextCluster Cube for online analysis of text cells and its applications. Stat. Anal. Data Min. 6(3): 243-259 (2013) - [j151]Lu-An Tang, Yu Zheng, Jing Yuan, Jiawei Han, Alice Leung, Wen-Chih Peng, Thomas La Porta:
A framework of traveling companion discovery on trajectory data streams. ACM Trans. Intell. Syst. Technol. 5(1): 3:1-3:34 (2013) - [j150]Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan, Philip S. Yu, Xiao Yu:
PathSelClus: Integrating Meta-Path Selection with User-Guided Object Clustering in Heterogeneous Information Networks. ACM Trans. Knowl. Discov. Data 7(3): 11:1-11:23 (2013) - [j149]Ming Ji, Binbin Lin, Xiaofei He, Deng Cai, Jiawei Han:
Parallel Field Ranking. ACM Trans. Knowl. Discov. Data 7(3): 15:1-15:21 (2013) - [j148]Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, Jiawei Han:
A Graph-Based Consensus Maximization Approach for Combining Multiple Supervised and Unsupervised Models. IEEE Trans. Knowl. Data Eng. 25(1): 15-28 (2013) - [j147]Xin Jin, Jiebo Luo, Jie Yu, Gang Wang, Dhiraj Joshi, Jiawei Han:
Reinforced Similarity Integration in Image-Rich Information Networks. IEEE Trans. Knowl. Data Eng. 25(2): 448-460 (2013) - [j146]Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Ashok Srivastava, Nikunj C. Oza:
Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams. IEEE Trans. Knowl. Data Eng. 25(7): 1484-1497 (2013) - [j145]Jianbin Huang, Heli Sun, Qinbao Song, Hongbo Deng, Jiawei Han:
Revealing Density-Based Clustering Structure from the Core-Connected Tree of a Network. IEEE Trans. Knowl. Data Eng. 25(8): 1876-1889 (2013) - [j144]Wei Gao, Guohong Cao, Tom La Porta, Jiawei Han:
On Exploiting Transient Social Contact Patterns for Data Forwarding in Delay-Tolerant Networks. IEEE Trans. Mob. Comput. 12(1): 151-165 (2013) - [j143]Tim Weninger, Thomas J. Johnston, Jiawei Han:
The parallel path framework for entity discovery on the web. ACM Trans. Web 7(3): 16:1-16:29 (2013) - [c462]Hongzhao Huang, Zhen Wen, Dian Yu, Heng Ji, Yizhou Sun, Jiawei Han, He Li:
Resolving Entity Morphs in Censored Data. ACL (1) 2013: 1083-1093 - [c461]Ling Chen, Xue Li, Jiawei Han:
MedRank: Discovering Influential Medical Treatments from Literature by Information Network Analysis. ADC 2013: 3-13 - [c460]Quanquan Gu, Charu C. Aggarwal, Jiawei Han:
Unsupervised Link Selection in Networks. AISTATS 2013: 298-306 - [c459]Quanquan Gu, Jiawei Han:
Clustered Support Vector Machines. AISTATS 2013: 307-315 - [c458]Manish Gupta, Jing Gao, Xifeng Yan, Hasan Cam, Jiawei Han:
On detecting association-based clique outliers in heterogeneous information networks. ASONAM 2013: 108-115 - [c457]Tim Weninger, Xihao Avi Zhu, Jiawei Han:
An exploration of discussion threads in social news sites: a case study of the Reddit community. ASONAM 2013: 579-583 - [c456]Chi Wang, Xiao Yu, Yanen Li, Chengxiang Zhai, Jiawei Han:
Content coverage maximization on word networks for hierarchical topic summarization. CIKM 2013: 249-258 - [c455]Paul Bennett, C. Lee Giles, Alon Y. Halevy, Jiawei Han, Marti A. Hearst, Jure Leskovec:
Channeling the deluge: research challenges for big data and information systems. CIKM 2013: 2537-2538 - [c454]Raghu K. Ganti, Mudhakar Srivatsa, Anand Ranganathan, Jiawei Han:
Inferring human mobility patterns from taxicab location traces. UbiComp 2013: 459-468 - [c453]Nan Li, Ziyu Guan, Lijie Ren, Jian Wu, Jiawei Han, Xifeng Yan:
gIceberg: Towards iceberg analysis in large graphs. ICDE 2013: 1021-1032 - [c452]Hyungsul Kim, Xiang Ren, Yizhou Sun, Chi Wang, Jiawei Han:
Semantic Frame-Based Document Representation for Comparable Corpora. ICDM 2013: 350-359 - [c451]Chi Wang, Marina Danilevsky, Jialu Liu, Nihit Desai, Heng Ji, Jiawei Han:
Constructing Topical Hierarchies in Heterogeneous Information Networks. ICDM 2013: 767-776 - [c450]Scott Deeann Chen, Ying-Yu Chen, Jiawei Han, Pierre Moulin:
A Feature-Enhanced Ranking-Based Classifier for Multimodal Data and Heterogeneous Information Networks. ICDM 2013: 997-1002 - [c449]Jialu Liu, Chi Wang, Marina Danilevsky, Jiawei Han:
Large-Scale Spectral Clustering on Graphs. IJCAI 2013: 1486-1492 - [c448]Jialu Liu, Kin Hou Lei, Jeffery Yufei Liu, Chi Wang, Jiawei Han:
Ranking-based name matching for author disambiguation in bibliographic data. KDD Cup 2013: 8:1-8:8 - [c447]Tanvi Jindal, Prasanna Giridhar, Lu-An Tang, Jun Li, Jiawei Han:
Spatiotemporal periodical pattern mining in traffic data. UrbComp@KDD 2013: 11:1-11:8 - [c446]Quanquan Gu, Charu C. Aggarwal, Jialu Liu, Jiawei Han:
Selective sampling on graphs for classification. KDD 2013: 131-139 - [c445]Lu-An Tang, Xiao Yu, Quanquan Gu, Jiawei Han, Alice Leung, Thomas La Porta:
Mining lines in the sand: on trajectory discovery from untrustworthy data in cyber-physical system. KDD 2013: 410-418 - [c444]Chi Wang, Marina Danilevsky, Nihit Desai, Yinan Zhang, Phuong Nguyen, Thrivikrama Taula, Jiawei Han:
A phrase mining framework for recursive construction of a topical hierarchy. KDD 2013: 437-445 - [c443]Yang Li, Chi Wang, Fangqiu Han, Jiawei Han, Dan Roth, Xifeng Yan:
Mining evidences for named entity disambiguation. KDD 2013: 1070-1078 - [c442]Marina Danilevsky, Chi Wang, Fangbo Tao, Son Nguyen, Gong Chen, Nihit Desai, Lidan Wang, Jiawei Han:
AMETHYST: a system for mining and exploring topical hierarchies of heterogeneous data. KDD 2013: 1458-1461 - [c441]Fangbo Tao, Kin Hou Lei, Jiawei Han, Chengxiang Zhai, Xiao Cheng, Marina Danilevsky, Nihit Desai, Bolin Ding, Jing Ge, Heng Ji, Rucha Kanade, Anne Kao, Qi Li, Yanen Li, Cindy Xide Lin, Jialu Liu, Nikunj C. Oza, Ashok N. Srivastava, Rodney Tjoelker, Chi Wang, Duo Zhang, Bo Zhao:
EventCube: multi-dimensional search and mining of structured and text data. KDD 2013: 1494-1497 - [c440]Xiaomei Zhang, Jiawei Han, Gang Zhao:
Research on the Construction of Dynamic Chinese Natural Sign Language Corpus. MSN 2013: 502-505 - [c439]Alice Leung, William Dron, John P. Hancock, Matthew Aguirre, Jon Purnell, Jiawei Han, Chi Wang, Jaideep Srivastava, Amogh Mahapatra, Atanu Roy, Lisa Scott:
Social patterns: Community detection using behavior-generated network datasets. NSW 2013: 82-89 - [c438]Manish Gupta, Jing Gao, Jiawei Han:
Community Distribution Outlier Detection in Heterogeneous Information Networks. ECML/PKDD (1) 2013: 557-573 - [c437]Xiao Yu, Xiang Ren, Yizhou Sun, Bradley Sturt, Urvashi Khandelwal, Quanquan Gu, Brandon Norick, Jiawei Han:
Recommendation in heterogeneous information networks with implicit user feedback. RecSys 2013: 347-350 - [c436]Xiong Liu, Kaizhi Tang, Jeffrey T. Hancock, Jiawei Han, Mitchell Song, Roger Xu, Bob Pokorny:
A Text Cube Approach to Human, Social and Cultural Behavior in the Twitter Stream. SBP 2013: 321-330 - [c435]Jing Gao, Jiawei Han, Jialu Liu, Chi Wang:
Multi-View Clustering via Joint Nonnegative Matrix Factorization. SDM 2013: 252-260 - [c434]Hongbo Deng, Jiawei Han, Heng Ji, Hao Li, Yue Lu, Hongning Wang:
Exploring and Inferring User-User Pseudo-Friendship for Sentiment Analysis with Heterogeneous Networks. SDM 2013: 378-386 - [c433]Yuguo Chen, Jiawei Han, Ming Ji, Jialu Liu, Lu Su, Chi Wang, Hongning Wang:
On the Detectability of Node Grouping in Networks. SDM 2013: 713-721 - [c432]Fangbo Tao, Xiao Yu, Kin Hou Lei, George Brova, Xiao Cheng, Jiawei Han, Rucha Kanade, Yizhou Sun, Chi Wang, Lidan Wang, Tim Weninger:
Research-insight: providing insight on research by publication network analysis. SIGMOD Conference 2013: 1093-1096 - [c431]Tim Weninger, Jiawei Han:
Exploring structure and content on the web: extraction and integration of the semi-structured web. WSDM 2013: 779-780 - [c430]Guo-Jun Qi, Charu C. Aggarwal, Jiawei Han, Thomas S. Huang:
Mining collective intelligence in diverse groups. WWW 2013: 1041-1052 - [p28]Hongbo Deng, Jiawei Han:
Probabilistic Models for Clusterings. Data Clustering: Algorithms and Applications 2013: 61-86 - [p27]Jialu Liu, Jiawei Han:
Spectral Clustering. Data Clustering: Algorithms and Applications 2013: 177-200 - [p26]Hong Cheng, Jiawei Han, Xifeng Yan, Philip S. Yu:
Efficient Direct Mining of Selective Discriminative Patterns for Classification. Contrast Data Mining 2013: 39-58 - [p25]Charu C. Aggarwal, Jiawei Han:
A Survey of RFID Data Processing. Managing and Mining Sensor Data 2013: 349-382 - [p24]Tarek F. Abdelzaher, Jiawei Han:
A Survey of Datamining Methods for Sensor Network Bug Diagnosis. Managing and Mining Sensor Data 2013: 429-458 - [p23]Yang Yang, Yizhou Sun, Saurav Pandit, Nitesh V. Chawla, Jiawei Han:
Perspective on Measurement Metrics for Community Detection Algorithms. Mining Social Networks and Security Informatics 2013: 227-242 - [i7]Marina Danilevsky, Chi Wang, Nihit Desai, Jingyi Guo, Jiawei Han:
KERT: Automatic Extraction and Ranking of Topical Keyphrases from Content-Representative Document Titles. CoRR abs/1306.0271 (2013) - 2012
- [b5]Yizhou Sun, Jiawei Han:
Mining Heterogeneous Information Networks: Principles and Methodologies. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2012, ISBN 978-3-031-00774-3 - [j142]Zhenhui Li, Jiawei Han, Bolin Ding, Roland Kays:
Mining periodic behaviors of object movements for animal and biological sustainability studies. Data Min. Knowl. Discov. 24(2): 355-386 (2012) - [j141]Lu Liu, Jie Tang, Jiawei Han, Shiqiang Yang:
Learning influence from heterogeneous social networks. Data Min. Knowl. Discov. 25(3): 511-544 (2012) - [j140]Lu-An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Wen-Chih Peng, Yizhou Sun, Alice Leung, Thomas La Porta:
Multidimensional Sensor Data Analysis in Cyber-Physical System: An Atypical Cube Approach. Int. J. Distributed Sens. Networks 8 (2012) - [j139]Liangliang Cao, Xin Jin, Zhijun Yin, Andrey Del Pozo, Jiebo Luo, Jiawei Han, Thomas S. Huang:
RankCompete: Simultaneous ranking and clustering of information networks. Neurocomputing 95: 98-104 (2012) - [j138]Lu Liu, Feida Zhu, Meng Jiang, Jiawei Han, Lifeng Sun, Shiqiang Yang:
Mining diversity on social media networks. Multim. Tools Appl. 56(1): 179-205 (2012) - [j137]Heng Ji, Hongbo Deng, Jiawei Han:
Uncertainty Reduction for Knowledge Discovery and Information Extraction on the World Wide Web. Proc. IEEE 100(9): 2658-2674 (2012) - [j136]Yizhou Sun, Charu C. Aggarwal, Jiawei Han:
Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes. Proc. VLDB Endow. 5(5): 394-405 (2012) - [j135]Bo Zhao, Benjamin I. P. Rubinstein, Jim Gemmell, Jiawei Han:
A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration. Proc. VLDB Endow. 5(6): 550-561 (2012) - [j134]Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu:
Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach. Proc. VLDB Endow. 5(12): 2022-2023 (2012) - [j133]Yizhou Sun, Jiawei Han:
Mining heterogeneous information networks: a structural analysis approach. SIGKDD Explor. 14(2): 20-28 (2012) - [j132]Zhijun Yin, Liangliang Cao, Quanquan Gu, Jiawei Han:
Latent Community Topic Analysis: Integration of Community Discovery with Topic Modeling. ACM Trans. Intell. Syst. Technol. 3(4): 63:1-63:21 (2012) - [j131]Lijun Zhang, Chun Chen, Jiajun Bu, Zhengguang Chen, Deng Cai, Jiawei Han:
Locally Discriminative Coclustering. IEEE Trans. Knowl. Data Eng. 24(6): 1025-1035 (2012) - [c429]Manish Gupta, Jing Gao, ChengXiang Zhai, Jiawei Han:
Predicting future popularity trend of events in microblogging platforms. ASIST 2012: 1-10 - [c428]Cindy Xide Lin, Ming Ji, Marina Danilevsky, Jiawei Han:
Efficient mining of correlated sequential patterns based on null hypothesis. Web-KRM@CIKM 2012: 17-24 - [c427]Tim Weninger, Yonatan Bisk, Jiawei Han:
Document-topic hierarchies from document graphs. CIKM 2012: 635-644 - [c426]Xiao Yu, Yizhou Sun, Brandon Norick, Tiancheng Mao, Jiawei Han:
User guided entity similarity search using meta-path selection in heterogeneous information networks. CIKM 2012: 2025-2029 - [c425]Taylor Cassidy, Heng Ji, Hongbo Deng, Jing Zheng, Jiawei Han:
Analysis and Refinement of Cross-Lingual Entity Linking. CLEF 2012: 1-12 - [c424]Hongzhao Huang, Arkaitz Zubiaga, Heng Ji, Hongbo Deng, Dong Wang, Hieu Khac Le, Tarek F. Abdelzaher, Jiawei Han, Alice Leung, John P. Hancock, Clare R. Voss:
Tweet Ranking Based on Heterogeneous Networks. COLING 2012: 1239-1256 - [c423]Tim Weninger, ChengXiang Zhai, Jiawei Han:
Building enriched web page representations using link paths. HT 2012: 53-62 - [c422]Lu-An Tang, Yu Zheng, Jing Yuan, Jiawei Han, Alice Leung, Chih-Chieh Hung, Wen-Chih Peng:
On Discovery of Traveling Companions from Streaming Trajectories. ICDE 2012: 186-197 - [c421]Lu-An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Wen-Chih Peng, Yizhou Sun, Hector Gonzalez, Sebastian Seith:
Multidimensional Analysis of Atypical Events in Cyber-Physical Data. ICDE 2012: 1025-1036 - [c420]Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu:
Mining Knowledge from Data: An Information Network Analysis Approach. ICDE 2012: 1214-1217 - [c419]Tahseen Al-Khateeb, Mohammad M. Masud, Latifur Khan, Charu C. Aggarwal, Jiawei Han, Bhavani Thuraisingham:
Stream Classification with Recurring and Novel Class Detection Using Class-Based Ensemble. ICDM 2012: 31-40 - [c418]Hyungsul Kim, Yizhou Sun, Julia Hockenmaier, Jiawei Han:
ETM: Entity Topic Models for Mining Documents Associated with Entities. ICDM 2012: 349-358 - [c417]Yang Yang, Nitesh V. Chawla, Yizhou Sun, Jiawei Han:
Predicting Links in Multi-relational and Heterogeneous Networks. ICDM 2012: 755-764 - [c416]Quanquan Gu, Jiawei Han:
Towards Active Learning on Graphs: An Error Bound Minimization Approach. ICDM 2012: 882-887 - [c415]Ming Ji, Tianbao Yang, Binbin Lin, Rong Jin, Jiawei Han:
A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound. ICML 2012 - [c414]Hongbo Deng, Jiawei Han, Michael R. Lyu, Irwin King:
Modeling and exploiting heterogeneous bibliographic networks for expertise ranking. JCDL 2012: 71-80 - [c413]Jiawei Han:
Mining heterogeneous information networks: the next frontier. KDD 2012: 2-3 - [c412]Zhenhui Li, Jingjing Wang, Jiawei Han:
Mining event periodicity from incomplete observations. KDD 2012: 444-452 - [c411]Ming Ji, Binbin Lin, Xiaofei He, Deng Cai, Jiawei Han:
Parallel field ranking. KDD 2012: 723-731 - [c410]Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han:
Integrating community matching and outlier detection for mining evolutionary community outliers. KDD 2012: 859-867 - [c409]Xingjie Liu, Qi He, Yuanyuan Tian, Wang-Chien Lee, John McPherson, Jiawei Han:
Event-based social networks: linking the online and offline social worlds. KDD 2012: 1032-1040 - [c408]Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan, Philip S. Yu, Xiao Yu:
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks. KDD 2012: 1348-1356 - [c407]Xiao Yu, Yizhou Sun, Peixiang Zhao, Jiawei Han:
Query-driven discovery of semantically similar substructures in heterogeneous networks. KDD 2012: 1500-1503 - [c406]Quanquan Gu, Tong Zhang, Chris H. Q. Ding, Jiawei Han:
Selective Labeling via Error Bound Minimization. NIPS 2012: 332-340 - [c405]Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han:
Community Trend Outlier Detection Using Soft Temporal Pattern Mining. ECML/PKDD (2) 2012: 692-708 - [c404]Lu Su, Shaohan Hu, Shen Li, Feng Liang, Jing Gao, Tarek F. Abdelzaher, Jiawei Han:
Quality of Information Based Data Selection and Transmission in Wireless Sensor Networks. RTSS 2012: 327-338 - [c403]Manish Gupta, Peixiang Zhao, Jiawei Han:
Evaluating Event Credibility on Twitter. SDM 2012: 153-164 - [c402]Chi Wang, Jiawei Han, Qi Li, Xiang Li, Wen-Pin Lin, Heng Ji:
Learning Hierarchical Relationships among Partially Ordered Objects with Heterogeneous Attributes and Links. SDM 2012: 516-527 - [c401]Lu-An Tang, Quanquan Gu, Xiao Yu, Jiawei Han, Thomas La Porta, Alice Leung, Tarek F. Abdelzaher, Lance M. Kaplan:
IntruMine: Mining Intruders in Untrustworthy Data of Cyber-physical Systems. SDM 2012: 600-611 - [c400]Xiao Yu, Quanquan Gu, Mianwei Zhou, Jiawei Han:
Citation Prediction in Heterogeneous Bibliographic Networks. SDM 2012: 1119-1130 - [c399]Bolin Ding, Haixun Wang, Ruoming Jin, Jiawei Han, Zhongyuan Wang:
Optimizing index for taxonomy keyword search. SIGMOD Conference 2012: 493-504 - [c398]Xiong Liu, Kaizhi Tang, Jeffrey T. Hancock, Jiawei Han, Mitchell Song, Roger Xu, Vikram Manikonda, Bob Pokorny:
SocialCube: A Text Cube Framework for Analyzing Social Media Data. SocialInformatics 2012: 252-259 - [c397]Jiawei Han:
Construction of Web-Based, Service-Oriented Information Networks: A Data Mining Perspective - (Abstract). WAIM 2012: 17-19 - [c396]Yizhou Sun, Jiawei Han, Charu C. Aggarwal, Nitesh V. Chawla:
When will it happen?: relationship prediction in heterogeneous information networks. WSDM 2012: 663-672 - [c395]Liangliang Cao, John R. Smith, Zhen Wen, Zhijun Yin, Xin Jin, Jiawei Han:
BlueFinder: estimate where a beach photo was taken. WWW (Companion Volume) 2012: 469-470 - [c394]Quanquan Gu, Marina Danilevsky, Zhenhui Li, Jiawei Han:
Locality Preserving Feature Learning. AISTATS 2012: 477-485 - [c393]Ming Ji, Jiawei Han:
A Variance Minimization Criterion to Active Learning on Graphs. AISTATS 2012: 556-564 - [p22]Yizhou Sun, Hongbo Deng, Jiawei Han:
Probabilistic Models for Text Mining. Mining Text Data 2012: 259-295 - [i6]Marina Barsky, Sangkyum Kim, Tim Weninger, Jiawei Han:
Mining Flipping Correlations from Large Datasets with Taxonomies. CoRR abs/1201.0233 (2012) - [i5]Yizhou Sun, Charu C. Aggarwal, Jiawei Han:
Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes. CoRR abs/1201.6563 (2012) - [i4]Quanquan Gu, Zhenhui Li, Jiawei Han:
Generalized Fisher Score for Feature Selection. CoRR abs/1202.3725 (2012) - [i3]Bo Zhao, Benjamin I. P. Rubinstein, Jim Gemmell, Jiawei Han:
A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration. CoRR abs/1203.0058 (2012) - 2011
- [b4]Jiawei Han, Micheline Kamber, Jian Pei:
Data Mining: Concepts and Techniques, 3rd edition. Morgan Kaufmann 2011, ISBN 978-0123814791 - [j130]Hongyan Liu, Yuan Lin, Jiawei Han:
Methods for mining frequent items in data streams: an overview. Knowl. Inf. Syst. 26(1): 1-30 (2011) - [j129]Mohammad M. Masud, Clay Woolam, Jing Gao, Latifur Khan, Jiawei Han, Kevin W. Hamlen, Nikunj C. Oza:
Facing the reality of data stream classification: coping with scarcity of labeled data. Knowl. Inf. Syst. 33(1): 213-244 (2011) - [j128]Deng Cai, Xiaofei He, Jiawei Han, Thomas S. Huang:
Graph Regularized Nonnegative Matrix Factorization for Data Representation. IEEE Trans. Pattern Anal. Mach. Intell. 33(8): 1548-1560 (2011) - [j127]Liwen Sun, Reynold Cheng, Xiang Li, David W. Cheung, Jiawei Han:
On Link-based Similarity Join. Proc. VLDB Endow. 4(11): 714-725 (2011) - [j126]Feida Zhu, Qiang Qu, David Lo, Xifeng Yan, Jiawei Han, Philip S. Yu:
Mining Top-K Large Structural Patterns in a Massive Network. Proc. VLDB Endow. 4(11): 807-818 (2011) - [j125]Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu, Tianyi Wu:
PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks. Proc. VLDB Endow. 4(11): 992-1003 (2011) - [j124]Xin Jin, Cindy Xide Lin, Jiebo Luo, Jiawei Han:
SocialSpamGuard: A Data Mining-Based Spam Detection System for Social Media Networks. Proc. VLDB Endow. 4(12): 1458-1461 (2011) - [j123]Marina Barsky, Sangkyum Kim, Tim Weninger, Jiawei Han:
Mining Flipping Correlations from Large Datasets with Taxonomies. Proc. VLDB Endow. 5(4): 370-381 (2011) - [j122]Xin Jin, Sangkyum Kim, Jiawei Han, Liangliang Cao, Zhijun Yin:
A general framework for efficient clustering of large datasets based on activity detection. Stat. Anal. Data Min. 4(1): 11-29 (2011) - [j121]Manish Gupta, Jiawei Han:
Heterogeneous network-based trust analysis: a survey. SIGKDD Explor. 13(1): 54-71 (2011) - [j120]Nikita Spirin, Jiawei Han:
Survey on web spam detection: principles and algorithms. SIGKDD Explor. 13(2): 50-64 (2011) - [j119]Jie Yu, Xin Jin, Jiawei Han, Jiebo Luo:
Collection-based sparse label propagation and its application on social group suggestion from photos. ACM Trans. Intell. Syst. Technol. 2(2): 12:1-12:21 (2011) - [j118]Zhenhui Li, Jiawei Han, Ming Ji, Lu-An Tang, Yintao Yu, Bolin Ding, Jae-Gil Lee, Roland Kays:
MoveMine: Mining moving object data for discovery of animal movement patterns. ACM Trans. Intell. Syst. Technol. 2(4): 37:1-37:32 (2011) - [j117]Jae-Gil Lee, Jiawei Han, Xiaolei Li, Hong Cheng:
Mining Discriminative Patterns for Classifying Trajectories on Road Networks. IEEE Trans. Knowl. Data Eng. 23(5): 713-726 (2011) - [j116]Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham:
Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints. IEEE Trans. Knowl. Data Eng. 23(6): 859-874 (2011) - [j115]Deng Cai, Xiaofei He, Jiawei Han:
Locally Consistent Concept Factorization for Document Clustering. IEEE Trans. Knowl. Data Eng. 23(6): 902-913 (2011) - [j114]Xiaofei He, Deng Cai, Yuanlong Shao, Hujun Bao, Jiawei Han:
Laplacian Regularized Gaussian Mixture Model for Data Clustering. IEEE Trans. Knowl. Data Eng. 23(9): 1406-1418 (2011) - [j113]Bolin Ding, Bo Zhao, Cindy Xide Lin, Jiawei Han, Chengxiang Zhai, Ashok N. Srivastava, Nikunj C. Oza:
Efficient Keyword-Based Search for Top-K Cells in Text Cube. IEEE Trans. Knowl. Data Eng. 23(12): 1795-1810 (2011) - [j112]Mohammad M. Masud, Tahseen Al-Khateeb, Kevin W. Hamlen, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham:
Cloud-based malware detection for evolving data streams. ACM Trans. Manag. Inf. Syst. 2(3): 16:1-16:27 (2011) - [j111]Deng Cai, Xiaofei He, Jiawei Han:
Speed up kernel discriminant analysis. VLDB J. 20(1): 21-33 (2011) - [c392]Quanquan Gu, Zhenhui Li, Jiawei Han:
Learning a Kernel for Multi-Task Clustering. AAAI 2011: 368-373 - [c391]Marina Danilevsky, Joshua M. Hailpern, Jiawei Han:
SCENE: Structural Conversation Evolution NEtwork. ASONAM 2011: 29-36 - [c390]Manish Gupta, Charu C. Aggarwal, Jiawei Han, Yizhou Sun:
Evolutionary Clustering and Analysis of Bibliographic Networks. ASONAM 2011: 63-70 - [c389]Yizhou Sun, Rick Barber, Manish Gupta, Charu C. Aggarwal, Jiawei Han:
Co-author Relationship Prediction in Heterogeneous Bibliographic Networks. ASONAM 2011: 121-128 - [c388]Chi Wang, Jie Tang, Jimeng Sun, Jiawei Han:
Dynamic Social Influence Analysis through Time-Dependent Factor Graphs. ASONAM 2011: 239-246 - [c387]Xiao Yu, Ang Pan, Lu-An Tang, Zhenhui Li, Jiawei Han:
Geo-Friends Recommendation in GPS-based Cyber-physical Social Network. ASONAM 2011: 361-368 - [c386]Yang Yang, Yizhou Sun, Saurav Pandit, Nitesh V. Chawla, Jiawei Han:
Is Objective Function the Silver Bullet? A Case Study of Community Detection Algorithms on Social Networks. ASONAM 2011: 394-397 - [c385]Duo Zhang, ChengXiang Zhai, Jiawei Han:
MiTexCube: MicroTextCluster Cube for Online Analysis of Text Cells. CIDU 2011: 204-218 - [c384]Quanquan Gu, Zhenhui Li, Jiawei Han:
Correlated multi-label feature selection. CIKM 2011: 1087-1096 - [c383]Quanquan Gu, Jiawei Han:
Towards feature selection in network. CIKM 2011: 1175-1184 - [c382]Bo Zhao, Cindy Xide Lin, Bolin Ding, Jiawei Han:
TEXplorer: keyword-based object search and exploration in multidimensional text databases. CIKM 2011: 1709-1718 - [c381]Qiang Qu, Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Hongyan Li:
Efficient Topological OLAP on Information Networks. DASFAA (1) 2011: 389-403 - [c380]Dong Wang, Tarek F. Abdelzaher, Hossein Ahmadi, Jeff Pasternack, Dan Roth, Manish Gupta, Jiawei Han, Omid Fatemieh, Hieu Khac Le, Charu C. Aggarwal:
On Bayesian interpretation of fact-finding in information networks. FUSION 2011: 1-8 - [c379]Hossein Ahmadi, Tarek F. Abdelzaher, Jiawei Han, Nam Pham, Raghu K. Ganti:
The Sparse Regression Cube: A Reliable Modeling Technique for Open Cyber-Physical Systems. ICCPS 2011: 87-96 - [c378]David Lo, Bolin Ding, Lucia, Jiawei Han:
Bidirectional mining of non-redundant recurrent rules from a sequence database. ICDE 2011: 1043-1054 - [c377]Xin Jin, W. Scott Spangler, Ying Chen, Keke Cai, Rui Ma, Li Zhang, Xian Wu, Jiawei Han:
Patent Maintenance Recommendation with Patent Information Network Model. ICDM 2011: 280-289 - [c376]Hyungsul Kim, Sungjin Im, Tarek F. Abdelzaher, Jiawei Han, David Sheridan, Shobha Vasudevan:
Signature Pattern Covering via Local Greedy Algorithm and Pattern Shrink. ICDM 2011: 330-339 - [c375]Cindy Xide Lin, Qiaozhu Mei, Jiawei Han, Yunliang Jiang, Marina Danilevsky:
The Joint Inference of Topic Diffusion and Evolution in Social Communities. ICDM 2011: 378-387 - [c374]Zhijun Yin, Liangliang Cao, Jiawei Han, Chengxiang Zhai, Thomas S. Huang:
LPTA: A Probabilistic Model for Latent Periodic Topic Analysis. ICDM 2011: 904-913 - [c373]Jing Gao, Wei Fan, Deepak S. Turaga, Srinivasan Parthasarathy, Jiawei Han:
A Spectral Framework for Detecting Inconsistency across Multi-source Object Relationships. ICDM 2011: 1050-1055 - [c372]Mohammad M. Masud, Tahseen Al-Khateeb, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani Thuraisingham:
Detecting Recurring and Novel Classes in Concept-Drifting Data Streams. ICDM 2011: 1176-1181 - [c371]Eunsoo Seo, Mohammad Maifi Hasan Khan, Prasant Mohapatra, Jiawei Han, Tarek F. Abdelzaher:
Exposing Complex Bug-Triggering Conditions in Distributed Systems via Graph Mining. ICPP 2011: 186-195 - [c370]Fabio Fumarola, Tim Weninger, Rick Barber, Donato Malerba, Jiawei Han:
Extracting General Lists from Web Documents: A Hybrid Approach. IEA/AIE (1) 2011: 285-294 - [c369]Quanquan Gu, Chris H. Q. Ding, Jiawei Han:
On Trivial Solution and Scale Transfer Problems in Graph Regularized NMF. IJCAI 2011: 1288-1293 - [c368]Quanquan Gu, Zhenhui Li, Jiawei Han:
Joint Feature Selection and Subspace Learning. IJCAI 2011: 1294-1299 - [c367]Jing Gao, Wei Fan, Deepak S. Turaga, Olivier Verscheure, Xiaoqiao Meng, Lu Su, Jiawei Han:
Consensus extraction from heterogeneous detectors to improve performance over network traffic anomaly detection. INFOCOM 2011: 181-185 - [c366]Mohammad Maifi Hasan Khan, Hossein Ahmadi, Gulustan Dogan, Kannan Govindan, Raghu K. Ganti, Theodore Brown, Jiawei Han, Prasant Mohapatra, Tarek F. Abdelzaher:
DustDoctor: A self-healing sensor data collection system. IPSN 2011: 127-128 - [c365]Hieu Khac Le, Jeff Pasternack, Hossein Ahmadi, Manish Gupta, Yizhou Sun, Tarek F. Abdelzaher, Jiawei Han, Dan Roth, Boleslaw K. Szymanski, Sibel Adali:
Apollo: Towards factfinding in participatory sensing. IPSN 2011: 129-130 - [c364]Yong Yang, Lu Su, Mohammad Maifi Hasan Khan, Michael LeMay, Tarek F. Abdelzaher, Jiawei Han:
Power watermarking: Facilitating power-based diagnosis of node silence in remote high-end sensing systems. IPSN 2011: 159-160 - [c363]Eliana Salvemini, Fabio Fumarola, Donato Malerba, Jiawei Han:
FAST Sequence Mining Based on Sparse Id-Lists. ISMIS 2011: 316-325 - [c362]Xin Jin, Chi Wang, Jiebo Luo, Xiao Yu, Jiawei Han:
LikeMiner: a system for mining the power of 'like' in social media networks. KDD 2011: 753-756 - [c361]Hongbo Deng, Jiawei Han, Bo Zhao, Yintao Yu, Cindy Xide Lin:
Probabilistic topic models with biased propagation on heterogeneous information networks. KDD 2011: 1271-1279 - [c360]Ming Ji, Jiawei Han, Marina Danilevsky:
Ranking-based classification of heterogeneous information networks. KDD 2011: 1298-1306 - [c359]Sangkyum Kim, Marina Barsky, Jiawei Han:
Efficient Mining of Top Correlated Patterns Based on Null-Invariant Measures. ECML/PKDD (2) 2011: 177-192 - [c358]Quanquan Gu, Zhenhui Li, Jiawei Han:
Linear Discriminant Dimensionality Reduction. ECML/PKDD (1) 2011: 549-564 - [c357]Jiawei Han:
Construction and Analysis of Web-Based Computer Science Information Networks. RSFDGrC 2011: 1-2 - [c356]Hyungsul Kim, Manish Marwah, Martin F. Arlitt, Geoff Lyon, Jiawei Han:
Unsupervised Disaggregation of Low Frequency Power Measurements. SDM 2011: 747-758 - [c355]Zhijun Yin, Liangliang Cao, Jiawei Han, Jiebo Luo, Thomas S. Huang:
Diversified Trajectory Pattern Ranking in Geo-tagged Social Media. SDM 2011: 980-991 - [c354]Lu Su, Jing Gao, Yong Yang, Tarek F. Abdelzaher, Bolin Ding, Jiawei Han:
Hierarchical aggregate classification with limited supervision for data reduction in wireless sensor networks. SenSys 2011: 40-53 - [c353]Ming Ji, Jun Yan, Siyu Gu, Jiawei Han, Xiaofei He, Wei Vivian Zhang, Zheng Chen:
Learning search tasks in queries and web pages via graph regularization. SIGIR 2011: 55-64 - [c352]Hongning Wang, Chi Wang, ChengXiang Zhai, Jiawei Han:
Learning online discussion structures by conditional random fields. SIGIR 2011: 435-444 - [c351]Sangkyum Kim, Hyungsul Kim, Tim Weninger, Jiawei Han, Hyun Duk Kim:
Authorship classification: a discriminative syntactic tree mining approach. SIGIR 2011: 455-464 - [c350]Chi Wang, Rajat Raina, David Fong, Ding Zhou, Jiawei Han, Greg J. Badros:
Learning relevance from heterogeneous social network and its application in online targeting. SIGIR 2011: 655-664 - [c349]Hongbo Deng, Bo Zhao, Jiawei Han:
Collective topic modeling for heterogeneous networks. SIGIR 2011: 1109-1110 - [c348]Bolin Ding, Marianne Winslett, Jiawei Han, Zhenhui Li:
Differentially private data cubes: optimizing noise sources and consistency. SIGMOD Conference 2011: 217-228 - [c347]Peixiang Zhao, Xiaolei Li, Dong Xin, Jiawei Han:
Graph cube: on warehousing and OLAP multidimensional networks. SIGMOD Conference 2011: 853-864 - [c346]Tim Weninger, Marina Danilevsky, Fabio Fumarola, Joshua M. Hailpern, Jiawei Han, Thomas J. Johnston, Surya Kallumadi, Hyungsul Kim, Zhijin Li, David McCloskey, Yizhou Sun, Nathan E. TeGrotenhuis, Chi Wang, Xiao Yu:
WINACS: construction and analysis of web-based computer science information networks. SIGMOD Conference 2011: 1255-1258 - [c345]Manish Gupta, Charu C. Aggarwal, Jiawei Han:
Finding Top-k Shortest Path Distance Changes in an Evolutionary Network. SSTD 2011: 130-148 - [c344]Lu-An Tang, Yu Zheng, Xing Xie, Jing Yuan, Xiao Yu, Jiawei Han:
Retrieving k-Nearest Neighboring Trajectories by a Set of Point Locations. SSTD 2011: 223-241 - [c343]Zhenhui Li, Cindy Xide Lin, Bolin Ding, Jiawei Han:
Mining Significant Time Intervals for Relationship Detection. SSTD 2011: 386-403 - [c342]Quanquan Gu, Zhenhui Li, Jiawei Han:
Generalized Fisher Score for Feature Selection. UAI 2011: 266-273 - [c341]Fabio Fumarola, Tim Weninger, Rick Barber, Donato Malerba, Jiawei Han:
HyLiEn: a hybrid approach to general list extraction on the web. WWW (Companion Volume) 2011: 35-36 - [c340]Manish Gupta, Yizhou Sun, Jiawei Han:
Trust analysis with clustering. WWW (Companion Volume) 2011: 53-54 - [c339]Tim Weninger, Fabio Fumarola, Cindy Xide Lin, Rick Barber, Jiawei Han, Donato Malerba:
Growing parallel paths for entity-page discovery. WWW (Companion Volume) 2011: 145-146 - [c338]Zhijun Yin, Liangliang Cao, Jiawei Han, Chengxiang Zhai, Thomas S. Huang:
Geographical topic discovery and comparison. WWW 2011: 247-256 - [p21]Manish Gupta, Rui Li, Zhijun Yin, Jiawei Han:
An Overview of Social Tagging and Applications. Social Network Data Analytics 2011: 447-497 - [i2]Taylor Cassidy, Zheng Chen, Javier Artiles, Heng Ji, Hongbo Deng, Lev-Arie Ratinov, Jiawei Han, Dan Roth, Jing Zheng:
CUNY-UIUC-SRI TAC-KBP2011 Entity Linking System Description. TAC 2011 - 2010
- [j110]Tianyi Wu, Yuguo Chen, Jiawei Han:
Re-examination of interestingness measures in pattern mining: a unified framework. Data Min. Knowl. Discov. 21(3): 371-397 (2010) - [j109]Charu C. Aggarwal, Chen Chen, Jiawei Han:
The Inverse Classification Problem. J. Comput. Sci. Technol. 25(3): 458-468 (2010) - [j108]Peixiang Zhao, Jiawei Han:
On Graph Query Optimization in Large Networks. Proc. VLDB Endow. 3(1): 340-351 (2010) - [j107]Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays:
Swarm: Mining Relaxed Temporal Moving Object Clusters. Proc. VLDB Endow. 3(1): 723-734 (2010) - [j106]Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt:
Discriminative frequent subgraph mining with optimality guarantees. Stat. Anal. Data Min. 3(5): 302-318 (2010) - [j105]Manish Gupta, Rui Li, Zhijun Yin, Jiawei Han:
Survey on social tagging techniques. SIGKDD Explor. 12(1): 58-72 (2010) - [j104]Tim Weninger, Fabio Fumarola, Rick Barber, Jiawei Han, Donato Malerba:
Unexpected results in automatic list extraction on the web. SIGKDD Explor. 12(2): 26-30 (2010) - [j103]Hector Gonzalez, Jiawei Han, Hong Cheng, Xiaolei Li, Diego Klabjan, Tianyi Wu:
Modeling Massive RFID Data Sets: A Gateway-Based Movement Graph Approach. IEEE Trans. Knowl. Data Eng. 22(1): 90-104 (2010) - [c337]Zhijun Yin, Manish Gupta, Tim Weninger, Jiawei Han:
A Unified Framework for Link Recommendation Using Random Walks. ASONAM 2010: 152-159 - [c336]Bolin Ding, Yintao Yu, Bo Zhao, Cindy Xide Lin, Jiawei Han, Chengxiang Zhai:
Keyword Search in Text Cube: Finding Top-k Aggregated Cell Documents. CIDU 2010: 145-159 - [c335]Lu Liu, Jie Tang, Jiawei Han, Meng Jiang, Shiqiang Yang:
Mining topic-level influence in heterogeneous networks. CIKM 2010: 199-208 - [c334]Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, Yizhou Sun, Yaguang Liu:
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks. CIKM 2010: 219-228 - [c333]Xin Jin, Jiawei Han, Liangliang Cao, Jiebo Luo, Bolin Ding, Cindy Xide Lin:
Visual cube and on-line analytical processing of images. CIKM 2010: 849-858 - [c332]Tim Weninger, Fabio Fumarola, Jiawei Han, Donato Malerba:
Mapping web pages to database records via link paths. CIKM 2010: 1637-1640 - [c331]Kavita Ganesan, ChengXiang Zhai, Jiawei Han:
Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions. COLING 2010: 340-348 - [c330]Zhenhui Li, Jae-Gil Lee, Xiaolei Li, Jiawei Han:
Incremental Clustering for Trajectories. DASFAA (2) 2010: 32-46 - [c329]Lu Liu, Feida Zhu, Chen Chen, Xifeng Yan, Jiawei Han, Philip S. Yu, Shiqiang Yang:
Mining Diversity on Networks. DASFAA (1) 2010: 384-398 - [c328]Jiawei Han, Zhenhui Li, Lu-An Tang:
Mining Moving Object, Trajectory and Traffic Data. DASFAA (2) 2010: 485-486 - [c327]Hyun Duk Kim, ChengXiang Zhai, Jiawei Han:
Aggregation of Multiple Judgments for Evaluating Ordered Lists. ECIR 2010: 166-178 - [c326]Tianyi Wu, Yizhou Sun, Cuiping Li, Jiawei Han:
Region-based online promotion analysis. EDBT 2010: 63-74 - [c325]Cuiping Li, Jiawei Han, Guoming He, Xin Jin, Yizhou Sun, Yintao Yu, Tianyi Wu:
Fast computation of SimRank for static and dynamic information networks. EDBT 2010: 465-476 - [c324]Liangliang Cao, Jiebo Luo, Andrew C. Gallagher, Xin Jin, Jiawei Han, Thomas S. Huang:
A worldwide tourism recommendation system based on geotaggedweb photos. ICASSP 2010: 2274-2277 - [c323]Xifeng Yan, Bin He, Feida Zhu, Jiawei Han:
Top-K aggregation queries over large networks. ICDE 2010: 377-380 - [c322]Bolin Ding, Bo Zhao, Cindy Xide Lin, Jiawei Han, Chengxiang Zhai:
TopCells: Keyword-based search of top-k aggregated documents in text cube. ICDE 2010: 381-384 - [c321]Dustin Bortner, Jiawei Han:
Progressive clustering of networks using Structure-Connected Order of Traversal. ICDE 2010: 653-656 - [c320]Heli Sun, Jianbin Huang, Jiawei Han, Hongbo Deng, Peixiang Zhao, Boqin Feng:
gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree Division or Agglomeration. ICDM 2010: 481-490 - [c319]Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani Thuraisingham:
Addressing Concept-Evolution in Concept-Drifting Data Streams. ICDM 2010: 929-934 - [c318]Lu-An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Chih-Chieh Hung, Wen-Chih Peng:
Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical Systems. ICDM 2010: 1079-1084 - [c317]Mohammad Maifi Hasan Khan, Hieu Khac Le, Michael LeMay, Paria Moinzadeh, Lili Wang, Yong Yang, Dong Kun Noh, Tarek F. Abdelzaher, Carl A. Gunter, Jiawei Han, Xin Jin:
Diagnostic powertracing for sensor node failure analysis. IPSN 2010: 117-128 - [c316]Md. Ahsan Arefin, Klara Nahrstedt, Raoul Rivas, Jiawei Han, Zixia Huang:
DIAMOND: Correlation-Based Anomaly Monitoring Daemon for DIME. ISM 2010: 137-144 - [c315]Chi Wang, Jiawei Han, Yuntao Jia, Jie Tang, Duo Zhang, Yintao Yu, Jingyi Guo:
Mining advisor-advisee relationships from research publication networks. KDD 2010: 203-212 - [c314]Jing Gao, Feng Liang, Wei Fan, Chi Wang, Yizhou Sun, Jiawei Han:
On community outliers and their efficient detection in information networks. KDD 2010: 813-822 - [c313]Cindy Xide Lin, Bo Zhao, Qiaozhu Mei, Jiawei Han:
PET: a statistical model for popular events tracking in social communities. KDD 2010: 929-938 - [c312]Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, Peter Nye:
Mining periodic behaviors for moving objects. KDD 2010: 1099-1108 - [c311]Yizhou Sun, Jie Tang, Jiawei Han, Manish Gupta, Bo Zhao:
Community evolution detection in dynamic heterogeneous information networks. MLG@KDD 2010: 137-146 - [c310]Xin Jin, Andrew C. Gallagher, Liangliang Cao, Jiebo Luo, Jiawei Han:
The wisdom of social multimedia: using flickr for prediction and forecast. ACM Multimedia 2010: 1235-1244 - [c309]Cindy Xide Lin, Yintao Yu, Jiawei Han, Bing Liu:
Hierarchical Web-Page Clustering via In-Page and Cross-Page Link Structures. PAKDD (2) 2010: 222-229 - [c308]Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham:
Classification and Novel Class Detection in Data Streams with Active Mining. PAKDD (2) 2010: 311-324 - [c307]Jiawei Han:
Structure Is Informative: On Mining Structured Information Networks. ECML/PKDD (1) 2010: 2 - [c306]Hyungsul Kim, Sangkyum Kim, Tim Weninger, Jiawei Han, Tarek F. Abdelzaher:
NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification. ECML/PKDD (2) 2010: 35-50 - [c305]Mohammad M. Masud, Qing Chen, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham:
Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space. ECML/PKDD (2) 2010: 337-352 - [c304]Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han, Jing Gao:
Graph Regularized Transductive Classification on Heterogeneous Information Networks. ECML/PKDD (1) 2010: 570-586 - [c303]Hossein Ahmadi, Nam Pham, Raghu K. Ganti, Tarek F. Abdelzaher, Suman Nath, Jiawei Han:
Privacy-aware regression modeling of participatory sensing data. SenSys 2010: 99-112 - [c302]Zhenhui Li, Ming Ji, Jae-Gil Lee, Lu An Tang, Yintao Yu, Jiawei Han, Roland Kays:
MoveMine: mining moving object databases. SIGMOD Conference 2010: 1203-1206 - [c301]Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu:
Mining knowledge from databases: an information network analysis approach. SIGMOD Conference 2010: 1251-1252 - [c300]Xin Jin, W. Scott Spangler, Rui Ma, Jiawei Han:
Topic initiator detection on the world wide web. WWW 2010: 481-490 - [c299]Tim Weninger, William H. Hsu, Jiawei Han:
CETR: content extraction via tag ratios. WWW 2010: 971-980 - [c298]Liangliang Cao, Andrey Del Pozo, Xin Jin, Jiebo Luo, Jiawei Han, Thomas S. Huang:
RankCompete: simultaneous ranking and clustering of web photos. WWW 2010: 1071-1072 - [c297]Zhenhui Li, Ding Zhou, Yun-Fang Juan, Jiawei Han:
Keyword extraction for social snippets. WWW 2010: 1143-1144 - [c296]Cindy Xide Lin, Bo Zhao, Tim Weninger, Jiawei Han, Bing Liu:
Entity relation discovery from web tables and links. WWW 2010: 1145-1146 - [c295]Zhijun Yin, Manish Gupta, Tim Weninger, Jiawei Han:
LINKREC: a unified framework for link recommendation with user attributes and graph structure. WWW 2010: 1211-1212 - [c294]Jie Yu, Xin Jin, Jiawei Han, Jiebo Luo:
Social group suggestion from user image collections. WWW 2010: 1215-1216 - [c293]Xin Jin, Jiebo Luo, Jie Yu, Gang Wang, Dhiraj Joshi, Jiawei Han:
iRIN: image retrieval in image-rich information networks. WWW 2010: 1261-1264 - [p20]Ronnie Alves, Joel Ribeiro, Orlando Belo, Jiawei Han:
Ranking Gradients in Multi-Dimensional Spaces. Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development 2010: 251-269 - [p19]Xiaoxin Yin, Jiawei Han, Philip S. Yu:
Scalable Link-Based Similarity Computation and Clustering. Link Mining 2010: 45-71 - [p18]Hong Cheng, Xifeng Yan, Jiawei Han:
Discriminative Frequent Pattern-Based Graph Classification. Link Mining 2010: 237-262 - [p17]Xiaoxin Yin, Jiawei Han, Philip S. Yu:
Veracity Analysis and Object Distinction. Link Mining 2010: 283-304 - [p16]Chen Chen, Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Raghu Ramakrishnan:
InfoNetOLAP: OLAP and Mining of Information Networks. Link Mining 2010: 411-438 - [p15]Yizhou Sun, Jiawei Han:
Integrating Clustering with Ranking in Heterogeneous Information Networks Analysis. Link Mining 2010: 439-473 - [p14]Chen Chen, Cindy Xide Lin, Matt Fredrikson, Mihai Christodorescu, Xifeng Yan, Jiawei Han:
Mining Large Information Networks by Graph Summarization. Link Mining 2010: 475-501 - [p13]Haixun Wang, Philip S. Yu, Jiawei Han:
Mining Concept-Drifting Data Streams. Data Mining and Knowledge Discovery Handbook 2010: 789-802 - [p12]Xifeng Yan, Jiawei Han:
Graph Indexing. Managing and Mining Graph Data 2010: 161-180 - [p11]Hong Cheng, Xifeng Yan, Jiawei Han:
Mining Graph Patterns. Managing and Mining Graph Data 2010: 365-392 - [e5]Philip S. Yu, Jiawei Han, Christos Faloutsos:
Link Mining: Models, Algorithms, and Applications. Springer 2010, ISBN 978-1-4419-6514-1 [contents] - [r13]Xin Jin, Jiawei Han:
Expectation Maximization Clustering. Encyclopedia of Machine Learning 2010: 382-383 - [r12]Xin Jin, Jiawei Han:
K-Means Clustering. Encyclopedia of Machine Learning 2010: 563-564 - [r11]Xin Jin, Jiawei Han:
K-Medoids Clustering. Encyclopedia of Machine Learning 2010: 564-565 - [r10]Xin Jin, Jiawei Han:
K-Way Spectral Clustering. Encyclopedia of Machine Learning 2010: 565 - [r9]Xin Jin, Jiawei Han:
Locality Sensitive Hashing Based Clustering. Encyclopedia of Machine Learning 2010: 613 - [r8]Xin Jin, Jiawei Han:
Mean Shift. Encyclopedia of Machine Learning 2010: 652-653 - [r7]Xin Jin, Jiawei Han:
Partitional Clustering. Encyclopedia of Machine Learning 2010: 766 - [r6]Xin Jin, Jiawei Han:
Quality Threshold Clustering. Encyclopedia of Machine Learning 2010: 820
2000 – 2009
- 2009
- [j102]Hailiang Chen, Hongyan Liu, Jiawei Han, Xiaoxin Yin, Jun He:
Exploring optimization of semantic relationship graph for multi-relational Bayesian classification. Decis. Support Syst. 48(1): 112-121 (2009) - [j101]Hongyan Liu, Xiaoyu Wang, Jun He, Jiawei Han, Dong Xin, Zheng Shao:
Top-down mining of frequent closed patterns from very high dimensional data. Inf. Sci. 179(7): 899-924 (2009) - [j100]Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han, Philip S. Yu:
Graph OLAP: a multi-dimensional framework for graph data analysis. Knowl. Inf. Syst. 21(1): 41-63 (2009) - [j99]Tianyi Wu, Dong Xin, Qiaozhu Mei, Jiawei Han:
Promotion Analysis in Multi-Dimensional Space. Proc. VLDB Endow. 2(1): 109-120 (2009) - [j98]Min-Soo Kim, Jiawei Han:
A Particle-and-Density Based Evolutionary Clustering Method for Dynamic Networks. Proc. VLDB Endow. 2(1): 622-633 (2009) - [j97]Chen Chen, Cindy Xide Lin, Matt Fredrikson, Mihai Christodorescu, Xifeng Yan, Jiawei Han:
Mining Graph Patterns Efficiently via Randomized Summaries. Proc. VLDB Endow. 2(1): 742-753 (2009) - [j96]Yintao Yu, Cindy Xide Lin, Yizhou Sun, Chen Chen, Jiawei Han, Binbin Liao, Tianyi Wu, ChengXiang Zhai, Duo Zhang, Bo Zhao:
iNextCube: Information Network-Enhanced Text Cube. Proc. VLDB Endow. 2(2): 1622-1625 (2009) - [j95]Duo Zhang, ChengXiang Zhai, Jiawei Han, Ashok N. Srivastava, Nikunj C. Oza:
Topic modeling for OLAP on multidimensional text databases: topic cube and its applications. Stat. Anal. Data Min. 2(5-6): 378-395 (2009) - [c292]Jiawei Han:
Mining Heterogeneous Information Networks by Exploring the Power of Links. ALT 2009: 3 - [c291]Peixiang Zhao, Jiawei Han, Yizhou Sun:
P-Rank: a comprehensive structural similarity measure over information networks. CIKM 2009: 553-562 - [c290]Mohammad Maifi Hasan Khan, Tarek F. Abdelzaher, Jiawei Han, Hossein Ahmadi:
Finding Symbolic Bug Patterns in Sensor Networks. DCOSS 2009: 131-144 - [c289]Jiawei Han:
Mining Heterogeneous Information Networks by Exploring the Power of Links. Discovery Science 2009: 13-30 - [c288]Min-Soo Kim, Jiawei Han:
CHRONICLE: A Two-Stage Density-Based Clustering Algorithm for Dynamic Networks. Discovery Science 2009: 152-167 - [c287]Tianyi Wu, Jiawei Han:
Subspace Discovery for Promotion: A Cell Clustering Approach. Discovery Science 2009: 362-376 - [c286]Yizhou Sun, Jiawei Han, Peixiang Zhao, Zhijun Yin, Hong Cheng, Tianyi Wu:
RankClus: integrating clustering with ranking for heterogeneous information network analysis. EDBT 2009: 565-576 - [c285]Jiawei Han, Xifeng Yan, Philip S. Yu:
Scalable OLAP and mining of information networks. EDBT 2009: 1159 - [c284]Bhavani Thuraisingham, Latifur Khan, Murat Kantarcioglu, Sonia Chib, Jiawei Han, Sang Hyuk Son:
Real-Time Knowledge Discovery and Dissemination for Intelligence Analysis. HICSS 2009: 1-12 - [c283]Jing Gao, Guofei Jiang, Haifeng Chen, Jiawei Han:
Modeling Probabilistic Measurement Correlations for Problem Determination in Large-Scale Distributed Systems. ICDCS 2009: 623-630 - [c282]Bolin Ding, David Lo, Jiawei Han, Siau-Cheng Khoo:
Efficient Mining of Closed Repetitive Gapped Subsequences from a Sequence Database. ICDE 2009: 1024-1035 - [c281]Xiaolei Li, Zhenhui Li, Jiawei Han, Jae-Gil Lee:
Temporal Outlier Detection in Vehicle Traffic Data. ICDE 2009: 1319-1322 - [c280]Jie Yu, Xin Jin, Jiawei Han, Jiebo Luo:
Mining Personal Image Collection for Social Group Suggestion. ICDM Workshops 2009: 202-207 - [c279]Yizhou Sun, Jiawei Han, Jing Gao, Yintao Yu:
iTopicModel: Information Network-Integrated Topic Modeling. ICDM 2009: 493-502 - [c278]Xiao Yu, Lu An Tang, Jiawei Han:
Filtering and Refinement: A Two-Stage Approach for Efficient and Effective Anomaly Detection. ICDM 2009: 617-626 - [c277]Samson Hauguel, ChengXiang Zhai, Jiawei Han:
Parallel PathFinder Algorithms for Mining Structures from Graphs. ICDM 2009: 812-817 - [c276]Deng Cai, Xiaofei He, Xuanhui Wang, Hujun Bao, Jiawei Han:
Locality Preserving Nonnegative Matrix Factorization. IJCAI 2009: 1010-1015 - [c275]Tim Finin, Anupam Joshi, Hillol Kargupta, Yelena Yesha, Joel Sachs, Elisa Bertino, Ninghui Li, Chris Clifton, Gene Spafford, Bhavani Thuraisingham, Murat Kantarcioglu, Alain Bensoussan, Nathan Berg, Latifur Khan, Jiawei Han, ChengXiang Zhai, Ravi S. Sandhu, Shouhuai Xu, Jim Massaro, Lada A. Adamic:
Assured Information Sharing Life Cycle. ISI 2009: 307-309 - [c274]Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han:
Heterogeneous source consensus learning via decision propagation and negotiation. KDD 2009: 339-348 - [c273]David Lo, Hong Cheng, Jiawei Han, Siau-Cheng Khoo, Chengnian Sun:
Classification of software behaviors for failure detection: a discriminative pattern mining approach. KDD 2009: 557-566 - [c272]Yizhou Sun, Yintao Yu, Jiawei Han:
Ranking-based clustering of heterogeneous information networks with star network schema. KDD 2009: 797-806 - [c271]Zhijun Yin, Rui Li, Qiaozhu Mei, Jiawei Han:
Exploring social tagging graph for web object classification. KDD 2009: 957-966 - [c270]Chandrasekar Ramachandran, Rahul Malik, Xin Jin, Jing Gao, Klara Nahrstedt, Jiawei Han:
VideoMule: a consensus learning approach to multi-label classification from noisy user-generated videos. ACM Multimedia 2009: 721-724 - [c269]Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, Jiawei Han:
Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models. NIPS 2009: 585-593 - [c268]Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham:
A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams. PAKDD 2009: 363-375 - [c267]Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham:
Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams. ECML/PKDD (2) 2009: 79-94 - [c266]Xin Jin, Sangkyum Kim, Jiawei Han, Liangliang Cao, Zhijun Yin:
GAD: General Activity Detection for Fast Clustering on Large Data. SDM 2009: 2-13 - [c265]Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt:
Near-optimal Supervised Feature Selection among Frequent Subgraphs. SDM 2009: 1076-1087 - [c264]Duo Zhang, ChengXiang Zhai, Jiawei Han:
Topic Cube: Topic Modeling for OLAP on Multidimensional Text Databases. SDM 2009: 1124-1135 - [c263]Rahul Malik, Sangkyum Kim, Xin Jin, Chandrasekar Ramachandran, Jiawei Han, Indranil Gupta, Klara Nahrstedt:
MLR-Index: An Index Structure for Fast and Scalable Similarity Search in High Dimensions. SSDBM 2009: 167-184 - [r5]Jiawei Han:
Data Mining. Encyclopedia of Database Systems 2009: 595-598 - [r4]Hong Cheng, Jiawei Han:
Frequent Itemsets and Association Rules. Encyclopedia of Database Systems 2009: 1184-1187 - [r3]Hong Cheng, Jiawei Han:
Pattern-Growth Methods. Encyclopedia of Database Systems 2009: 2051-2054 - [r2]Jiawei Han, Bolin Ding:
Stream Mining. Encyclopedia of Database Systems 2009: 2831-2834 - 2008
- [b3]Soumen Chakrabarti, Earl Cox, Eibe Frank, Ralf Hartmut Güting, Jiawei Han, Xia Jiang, Micheline Kamber, Sam Lightstone, Thomas P. Nadeau, Richard E. Neapolitan, Dorian Pyle, Mamdouh Refaat, Markus Schneider, Toby J. Teorey, Ian H. Witten:
Data Mining - Know It All. Morgan Kaufmann 2008, ISBN 978-0-12-374629-0, pp. I-XIII, 1-460 - [j94]Jing Gao, Bolin Ding, Wei Fan, Jiawei Han, Philip S. Yu:
Classifying Data Streams with Skewed Class Distributions and Concept Drifts. IEEE Internet Comput. 12(6): 37-49 (2008) - [j93]Xu Ling, Xin He, Dong Xin, Jiawei Han:
Efficiently Identifying Max-Gap Clusters in Pairwise Genome Comparison. J. Comput. Biol. 15(6): 593-609 (2008) - [j92]Ok-Ran Jeong, Jiawei Han, Won Kim, Eunseok Lee:
On Having Search Engines Deliver Hierarchies of Web Pages. J. Object Technol. 7(4): 33-41 (2008) - [j91]Jae-Gil Lee, Jiawei Han, Xiaolei Li, Hector Gonzalez:
TraClass: trajectory classification using hierarchical region-based and trajectory-based clustering. Proc. VLDB Endow. 1(1): 1081-1094 (2008) - [j90]Deng Cai, Xiaofei He, Jiawei Han:
SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis. IEEE Trans. Knowl. Data Eng. 20(1): 1-12 (2008) - [j89]Xiaofei He, Deng Cai, Jiawei Han:
Learning a Maximum Margin Subspace for Image Retrieval. IEEE Trans. Knowl. Data Eng. 20(2): 189-201 (2008) - [j88]Xiaoxin Yin, Jiawei Han, Philip S. Yu:
Truth Discovery with Multiple Conflicting Information Providers on the Web. IEEE Trans. Knowl. Data Eng. 20(6): 796-808 (2008) - [j87]Chao Liu, Xiangyu Zhang, Jiawei Han:
A Systematic Study of Failure Proximity. IEEE Trans. Software Eng. 34(6): 826-843 (2008) - [c262]Deng Cai, Xiaofei He, Jiawei Han:
Sparse Projections over Graph. AAAI 2008: 610-615 - [c261]Chen Chen, Cindy Xide Lin, Xifeng Yan, Jiawei Han:
On effective presentation of graph patterns: a structural representative approach. CIKM 2008: 299-308 - [c260]Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai:
Modeling hidden topics on document manifold. CIKM 2008: 911-920 - [c259]Jiawei Han:
Data mining for image/video processing: a promising research frontier. CIVR 2008: 1-2 - [c258]Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham:
Peer to peer botnet detection for cyber-security: a data mining approach. CSIIRW 2008: 39:1-39:2 - [c257]Jae-Gil Lee, Jiawei Han, Xiaolei Li:
Trajectory Outlier Detection: A Partition-and-Detect Framework. ICDE 2008: 140-149 - [c256]Hong Cheng, Xifeng Yan, Jiawei Han, Philip S. Yu:
Direct Discriminative Pattern Mining for Effective Classification. ICDE 2008: 169-178 - [c255]Deng Cai, Xiaofei He, Jiawei Han:
Training Linear Discriminant Analysis in Linear Time. ICDE 2008: 209-217 - [c254]Dong Xin, Jiawei Han:
P-Cube: Answering Preference Queries in Multi-Dimensional Space. ICDE 2008: 1092-1100 - [c253]Deng Cai, Xiaofei He, Xiaoyun Wu, Jiawei Han:
Non-negative Matrix Factorization on Manifold. ICDM 2008: 63-72 - [c252]Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han, Philip S. Yu:
Graph OLAP: Towards Online Analytical Processing on Graphs. ICDM 2008: 103-112 - [c251]Cindy Xide Lin, Bolin Ding, Jiawei Han, Feida Zhu, Bo Zhao:
Text Cube: Computing IR Measures for Multidimensional Text Database Analysis. ICDM 2008: 905-910 - [c250]Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham:
A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data. ICDM 2008: 929-934 - [c249]Luiz F. Mendes, Bolin Ding, Jiawei Han:
Stream Sequential Pattern Mining with Precise Error Bounds. ICDM 2008: 941-946 - [c248]Xiaoxin Yin, Jiawei Han:
Exploring the Power of Heuristics and Links in Multi-relational Data Mining. ISMIS 2008: 17-27 - [c247]Tarek F. Abdelzaher, Mohammad Maifi Hasan Khan, Hieu Khac Le, Hossein Ahmadi, Jiawei Han:
Data Mining for Diagnostic Debugging in Sensor Networks: Preliminary Evidence and Lessons Learned. KDD Workshop on Knowledge Discovery from Sensor Data 2008: 1-24 - [c246]Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Yan, Jiawei Han, Philip S. Yu, Olivier Verscheure:
Direct mining of discriminative and essential frequent patterns via model-based search tree. KDD 2008: 230-238 - [c245]Jing Gao, Wei Fan, Jing Jiang, Jiawei Han:
Knowledge transfer via multiple model local structure mapping. KDD 2008: 283-291 - [c244]Bin Jiang, Jian Pei, Xuemin Lin, David W. Cheung, Jiawei Han:
Mining preferences from superior and inferior examples. KDD 2008: 390-398 - [c243]Sangkyum Kim, Xin Jin, Jiawei Han:
SpaRClus: Spatial Relationship Pattern-Based Hierarchial Clustering. SDM 2008: 49-60 - [c242]Ding Yuan, Kyuhyung Lee, Hong Cheng, Gopal Krishna, Zhenmin Li, Xiao Ma, Yuanyuan Zhou, Jiawei Han:
CISpan: Comprehensive Incremental Mining Algorithms of Closed Sequential Patterns for Multi-Versional Software Mining. SDM 2008: 84-95 - [c241]Mohammad Maifi Hasan Khan, Hieu Khac Le, Hossein Ahmadi, Tarek F. Abdelzaher, Jiawei Han:
Dustminer: troubleshooting interactive complexity bugs in sensor networks. SenSys 2008: 99-112 - [c240]Tianyi Wu, Dong Xin, Jiawei Han:
ARCube: supporting ranking aggregate queries in partially materialized data cubes. SIGMOD Conference 2008: 79-92 - [c239]Xifeng Yan, Hong Cheng, Jiawei Han, Philip S. Yu:
Mining significant graph patterns by leap search. SIGMOD Conference 2008: 433-444 - [c238]Xiaolei Li, Jiawei Han, Zhijun Yin, Jae-Gil Lee, Yizhou Sun:
Sampling cube: a framework for statistical olap over sampling data. SIGMOD Conference 2008: 779-790 - [c237]Yizhou Sun, Tianyi Wu, Zhijun Yin, Hong Cheng, Jiawei Han, Xiaoxin Yin, Peixiang Zhao:
BibNetMiner: mining bibliographic information networks. SIGMOD Conference 2008: 1341-1344 - [c236]Sangkyum Kim, Jaebum Kim, Younhee Ko, Seung-won Hwang, Jiawei Han:
PerRank: Personalized Rank Retrieval with Categorical and Numerical Attributes. WAIM 2008: 270-277 - [p10]Jiawei Han, Jing Gao:
Research Challenges for Data Mining in Science and Engineering. Next Generation of Data Mining 2008 - [p9]Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu:
Mining Frequent Approximate Sequential Patterns. Next Generation of Data Mining 2008 - [p8]Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonzalez:
Anomaly Detection in Moving Object. Intelligence and Security Informatics 2008: 357-381 - [p7]Hong Cheng, Philip S. Yu, Jiawei Han:
Approximate Frequent Itemset Mining In the Presence of Random Noise. Soft Computing for Knowledge Discovery and Data Mining 2008: 363-389 - [e4]Hillol Kargupta, Jiawei Han, Philip S. Yu, Rajeev Motwani, Vipin Kumar:
Next Generation of Data Mining. Chapman and Hall / CRC Data Mining and Knowledge Discovery Series, CRC Press / Chapman and Hall / Taylor & Francis 2008, ISBN 978-1-4200-8586-0 [contents] - [r1]Jiawei Han:
OLAP, Spatial. Encyclopedia of GIS 2008: 809-812 - 2007
- [j86]Chulyun Kim, Sangkyum Kim, Russell Dorer, Dan Xie, Jiawei Han, Sheng Zhong:
TagSmart: analysis and visualization for yeast mutant fitness data measured by tag microarrays. BMC Bioinform. 8 (2007) - [j85]Jiawei Han, Hong Cheng, Dong Xin, Xifeng Yan:
Frequent pattern mining: current status and future directions. Data Min. Knowl. Discov. 15(1): 55-86 (2007) - [j84]Xiaoxin Yin, Jiawei Han, Philip S. Yu:
CrossClus: user-guided multi-relational clustering. Data Min. Knowl. Discov. 15(3): 321-348 (2007) - [j83]Dong Xin, Jiawei Han, Xifeng Yan, Hong Cheng:
On compressing frequent patterns. Data Knowl. Eng. 60(1): 5-29 (2007) - [j82]Jian Pei, Jiawei Han, Wei Wang:
Constraint-based sequential pattern mining: the pattern-growth methods. J. Intell. Inf. Syst. 28(2): 133-160 (2007) - [j81]Jiawei Han:
Introduction. ACM Trans. Knowl. Discov. Data 1(1): 1 (2007) - [j80]Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, Chengxiang Zhai:
Semantic annotation of frequent patterns. ACM Trans. Knowl. Discov. Data 1(3): 11 (2007) - [j79]Dong Xin, Jiawei Han, Xiaolei Li, Zheng Shao, Benjamin W. Wah:
Computing Iceberg Cubes by Top-Down and Bottom-Up Integration: The StarCubing Approach. IEEE Trans. Knowl. Data Eng. 19(1): 111-126 (2007) - [j78]Jianyong Wang, Jiawei Han, Chun Li:
Frequent Closed Sequence Mining without Candidate Maintenance. IEEE Trans. Knowl. Data Eng. 19(8): 1042-1056 (2007) - [c235]Deng Cai, Xiaofei He, Jiawei Han:
Isometric Projection. AAAI 2007: 528-533 - [c234]Deng Cai, Xiaofei He, Wei Vivian Zhang, Jiawei Han:
Regularized locality preserving indexing via spectral regression. CIKM 2007: 741-750 - [c233]Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, Thomas S. Huang:
Learning a Spatially Smooth Subspace for Face Recognition. CVPR 2007 - [c232]Deng Cai, Xiaofei He, Jiawei Han:
Spectral Regression for Efficient Regularized Subspace Learning. ICCV 2007: 1-8 - [c231]Deng Cai, Xiaofei He, Jiawei Han:
Semi-supervised Discriminant Analysis. ICCV 2007: 1-7 - [c230]Dong Xin, Jiawei Han:
Integrating OLAP and Ranking: The Ranking-Cube Methodology. ICDE Workshops 2007: 253-256 - [c229]Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Hong Cheng:
Mining Colossal Frequent Patterns by Core Pattern Fusion. ICDE 2007: 706-715 - [c228]Hong Cheng, Xifeng Yan, Jiawei Han, Chih-Wei Hsu:
Discriminative Frequent Pattern Analysis for Effective Classification. ICDE 2007: 716-725 - [c227]Xiaoxin Yin, Jiawei Han, Philip S. Yu:
Object Distinction: Distinguishing Objects with Identical Names. ICDE 2007: 1242-1246 - [c226]Hector Gonzalez, Jiawei Han, Xuehua Shen:
Cost-Conscious Cleaning of Massive RFID Data Sets. ICDE 2007: 1268-1272 - [c225]Wen Jin, Martin Ester, Zengjian Hu, Jiawei Han:
The Multi-Relational Skyline Operator. ICDE 2007: 1276-1280 - [c224]Deng Cai, Xiaofei He, Jiawei Han:
Spectral Regression: A Unified Approach for Sparse Subspace Learning. ICDM 2007: 73-82 - [c223]Jing Gao, Wei Fan, Jiawei Han:
On Appropriate Assumptions to Mine Data Streams: Analysis and Practice. ICDM 2007: 143-152 - [c222]Deng Cai, Xiaofei He, Jiawei Han:
Efficient Kernel Discriminant Analysis via Spectral Regression. ICDM 2007: 427-432 - [c221]Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han:
gApprox: Mining Frequent Approximate Patterns from a Massive Network. ICDM 2007: 445-450 - [c220]Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu:
Efficient Discovery of Frequent Approximate Sequential Patterns. ICDM 2007: 751-756 - [c219]Chao Liu, Xiangyu Zhang, Yu Zhang, Jiawei Han, Bharat K. Bhargava:
Indexing Noncrashing Failures: A Dynamic Program Slicing-Based Approach. ICSM 2007: 455-464 - [c218]Deng Cai, Xiaofei He, Kun Zhou, Jiawei Han, Hujun Bao:
Locality Sensitive Discriminant Analysis. IJCAI 2007: 708-713 - [c217]Xiaoxin Yin, Jiawei Han, Philip S. Yu:
Truth discovery with multiple conflicting information providers on the web. KDD 2007: 1048-1052 - [c216]Deng Cai, Xiaofei He, Jiawei Han:
Regularized regression on image manifold for retrieval. Multimedia Information Retrieval 2007: 11-20 - [c215]Jiawei Han:
Mining, Indexing, and Searching Graphs in Large Data Sets. MLG 2007 - [c214]Deng Cai, Xiaofei He, Jiawei Han:
Spectral regression: a unified subspace learning framework for content-based image retrieval. ACM Multimedia 2007: 403-412 - [c213]Jiawei Han:
Research Frontiers in Advanced Data Mining Technologies and Applications. PAKDD 2007: 1-5 - [c212]Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu:
gPrune: A Constraint Pushing Framework for Graph Pattern Mining. PAKDD 2007: 388-400 - [c211]Tianyi Wu, Yuguo Chen, Jiawei Han:
Association Mining in Large Databases: A Re-examination of Its Measures. PKDD 2007: 621-628 - [c210]Jing Gao, Wei Fan, Jiawei Han, Philip S. Yu:
A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions. SDM 2007: 3-14 - [c209]Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonzalez:
ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets. SDM 2007: 273-284 - [c208]Dong Xin, Jiawei Han, Kevin Chen-Chuan Chang:
Progressive and selective merge: computing top-k with ad-hoc ranking functions. SIGMOD Conference 2007: 103-114 - [c207]Jae-Gil Lee, Jiawei Han, Kyu-Young Whang:
Trajectory clustering: a partition-and-group framework. SIGMOD Conference 2007: 593-604 - [c206]Xiaoyu Wang, Hongyan Liu, Jiawei Han:
Finding frequent items in data streams using hierarchical information. SMC 2007: 431-436 - [c205]Xiaolei Li, Jiawei Han, Jae-Gil Lee, Hector Gonzalez:
Traffic Density-Based Discovery of Hot Routes in Road Networks. SSTD 2007: 441-459 - [c204]Wen Jin, Anthony K. H. Tung, Martin Ester, Jiawei Han:
On Efficient Processing of Subspace Skyline Queries on High Dimensional Data. SSDBM 2007: 12 - [c203]Xiaolei Li, Jiawei Han:
Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data. VLDB 2007: 447-458 - [c202]Hector Gonzalez, Jiawei Han, Xiaolei Li, Margaret Myslinska, John Paul Sondag:
Adaptive Fastest Path Computation on a Road Network: A Traffic Mining Approach. VLDB 2007: 794-805 - [c201]Chen Chen, Xifeng Yan, Philip S. Yu, Jiawei Han, Dong-Qing Zhang, Xiaohui Gu:
Towards Graph Containment Search and Indexing. VLDB 2007: 926-937 - [c200]Tianyi Wu, Xiaolei Li, Dong Xin, Jiawei Han, Jacob Lee, Ricardo Redder:
DataScope: Viewing Database Contents in Google Maps' Way. VLDB 2007: 1314-1317 - [c199]Jiawei Han:
Exploring the Power of Links in Data Mining. APWeb/WAIM 2007: 2 - [p6]Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu:
On Clustering Massive Data Streams: A Summarization Paradigm. Data Streams - Models and Algorithms 2007: 9-38 - [p5]Jiawei Han, Yandong Cai, Yixin Chen, Guozhu Dong, Jian Pei, Benjamin W. Wah, Jianyong Wang:
Multi-Dimensional Analysis of Data Streams Using Stream Cubes. Data Streams - Models and Algorithms 2007: 103-125 - 2006
- [b2]Jiawei Han, Micheline Kamber:
Data Mining: Concepts and Techniques, Second Edition. The Morgan Kaufmann series in data management systems, Elsevier 2006, ISBN 978-1-55860-901-3, pp. I-XXVIII, 1-770 - [j77]Fei Pan, Kiran Kamath, Kangyu Zhang, Sudip Pulapura, Avinash Achar, Juan Nunez-Iglesias, Yu Huang, Xifeng Yan, Jiawei Han, Haiyan Hu, Min Xu, Jianjun Hu, Xianghong Jasmine Zhou:
Integrative Array Analyzer: a software package for analysis of cross-platform and cross-species microarray data. Bioinform. 22(13): 1665-1667 (2006) - [j76]Jian Pei, Jiawei Han, Laks V. S. Lakshmanan:
An Erratum on "Pushing Convertible Constraints in Frequent Itemset Mining". Data Min. Knowl. Discov. 12(1): 119 (2006) - [j75]Deng Cai, Xiaofei He, Jiawei Han, HongJiang Zhang:
Orthogonal Laplacianfaces for Face Recognition. IEEE Trans. Image Process. 15(11): 3608-3614 (2006) - [j74]Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu:
A Framework for On-Demand Classification of Evolving Data Streams. IEEE Trans. Knowl. Data Eng. 18(5): 577-589 (2006) - [j73]Jianyong Wang, Jiawei Han, Jian Pei:
Closed Constrained Gradient Mining in Retail Databases. IEEE Trans. Knowl. Data Eng. 18(6): 764-769 (2006) - [j72]Xiaoxin Yin, Jiawei Han, Jiong Yang, Philip S. Yu:
Efficient Classification across Multiple Database Relations: A CrossMine Approach. IEEE Trans. Knowl. Data Eng. 18(6): 770-783 (2006) - [j71]Yixin Chen, Guozhu Dong, Jiawei Han, Jian Pei, Benjamin W. Wah, Jianyong Wang:
Regression Cubes with Lossless Compression and Aggregation. IEEE Trans. Knowl. Data Eng. 18(12): 1585-1599 (2006) - [j70]Xifeng Yan, Feida Zhu, Philip S. Yu, Jiawei Han:
Feature-based similarity search in graph structures. ACM Trans. Database Syst. 31(4): 1418-1453 (2006) - [j69]Chao Liu, Long Fei, Xifeng Yan, Jiawei Han, Samuel P. Midkiff:
Statistical Debugging: A Hypothesis Testing-Based Approach. IEEE Trans. Software Eng. 32(10): 831-848 (2006) - [c198]Jiawei Han, Hector Gonzalez, Xiaolei Li, Diego Klabjan:
Warehousing and Mining Massive RFID Data Sets. ADMA 2006: 1-18 - [c197]Hector Gonzalez, Jiawei Han, Xiaolei Li:
Mining compressed commodity workflows from massive RFID data sets. CIKM 2006: 162-171 - [c196]Dong Xin, Zheng Shao, Jiawei Han, Hongyan Liu:
C-Cubing: Efficient Computation of Closed Cubes by Aggregation-Based Checking. ICDE 2006: 4 - [c195]Hector Gonzalez, Jiawei Han, Xiaolei Li, Diego Klabjan:
Warehousing and Analyzing Massive RFID Data Sets. ICDE 2006: 83 - [c194]Xifeng Yan, Feida Zhu, Jiawei Han, Philip S. Yu:
Searching Substructures with Superimposed Distance. ICDE 2006: 88 - [c193]Jiawei Han, Xifeng Yan, Philip S. Yu:
Mining, Indexing, and Similarity Search in Graphs and Complex Structures. ICDE 2006: 106 - [c192]Charu C. Aggarwal, Chen Chen, Jiawei Han:
On the Inverse Classification Problem and its Applications. ICDE 2006: 111 - [c191]Hongyan Liu, Jiawei Han, Dong Xin, Zheng Shao:
Top-Down Mining of Interesting Patterns from Very High Dimensional Data. ICDE 2006: 114 - [c190]Chao Liu, Zeng Lian, Jiawei Han:
How Bayesians Debug. ICDM 2006: 382-393 - [c189]Hong Cheng, Philip S. Yu, Jiawei Han:
AC-Close: Efficiently Mining Approximate Closed Itemsets by Core Pattern Recovery. ICDM 2006: 839-844 - [c188]Xiaolei Li, Jiawei Han, Sangkyum Kim:
Motion-Alert: Automatic Anomaly Detection in Massive Moving Objects. ISI 2006: 166-177 - [c187]Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, ChengXiang Zhai:
Generating semantic annotations for frequent patterns with context analysis. KDD 2006: 337-346 - [c186]Dong Xin, Hong Cheng, Xifeng Yan, Jiawei Han:
Extracting redundancy-aware top-k patterns. KDD 2006: 444-453 - [c185]Dong Xin, Xuehua Shen, Qiaozhu Mei, Jiawei Han:
Discovering interesting patterns through user's interactive feedback. KDD 2006: 773-778 - [c184]Chao Liu, Chen Chen, Jiawei Han, Philip S. Yu:
GPLAG: detection of software plagiarism by program dependence graph analysis. KDD 2006: 872-881 - [c183]Wen Jin, Anthony K. H. Tung, Jiawei Han, Wei Wang:
Ranking Outliers Using Symmetric Neighborhood Relationship. PAKDD 2006: 577-593 - [c182]Chao Liu, Xifeng Yan, Jiawei Han:
Mining Control Flow Abnormality for Logic Error Isolation. SDM 2006: 106-117 - [c181]Hongyan Liu, Jiawei Han, Dong Xin, Zheng Shao:
Mining Interesting Patterns from Very High Dimensional Data: A Top-Down Row Enumeration Approach. SDM 2006: 282-293 - [c180]Deng Cai, Xiaofei He, Jiawei Han:
Tensor space model for document analysis. SIGIR 2006: 625-626 - [c179]Kaushik Chakrabarti, Venkatesh Ganti, Jiawei Han, Dong Xin:
Ranking objects based on relationships. SIGMOD Conference 2006: 371-382 - [c178]Chao Liu, Jiawei Han:
Failure proximity: a fault localization-based approach. SIGSOFT FSE 2006: 46-56 - [c177]Dong Xin, Chen Chen, Jiawei Han:
Towards Robust Indexing for Ranked Queries. VLDB 2006: 235-246 - [c176]Xiaoxin Yin, Jiawei Han, Philip S. Yu:
LinkClus: Efficient Clustering via Heterogeneous Semantic Links. VLDB 2006: 427-438 - [c175]Dong Xin, Jiawei Han, Hong Cheng, Xiaolei Li:
Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach. VLDB 2006: 463-475 - [c174]Hector Gonzalez, Jiawei Han, Xiaolei Li:
FlowCube: Constructuing RFID FlowCubes for Multi-Dimensional Analysis of Commodity Flows. VLDB 2006: 834-845 - [c173]Hongyan Liu, Ying Lu, Jiawei Han, Jun He:
Error-Adaptive and Time-Aware Maintenance of Frequency Counts over Data Streams. WAIM 2006: 484-495 - 2005
- [j68]Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu:
On High Dimensional Projected Clustering of Data Streams. Data Min. Knowl. Discov. 10(3): 251-273 (2005) - [j67]Hwanjo Yu, Jiong Yang, Jiawei Han, Xiaolei Li:
Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing. Data Min. Knowl. Discov. 11(3): 295-321 (2005) - [j66]Jiawei Han, Yixin Chen, Guozhu Dong, Jian Pei, Benjamin W. Wah, Jianyong Wang, Y. Dora Cai:
Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams. Distributed Parallel Databases 18(2): 173-197 (2005) - [j65]Petre Tzvetkov, Xifeng Yan, Jiawei Han:
TSP: Mining top-k closed sequential patterns. Knowl. Inf. Syst. 7(4): 438-457 (2005) - [j64]Michael J. Carey, Jiawei Han:
A tribute to Professor Hongjun Lu. SIGMOD Rec. 34(2): 5 (2005) - [j63]Ke Wang, Yuelong Jiang, Jeffrey Xu Yu, Guozhu Dong, Jiawei Han:
Divide-and-Approximate: A Novel Constraint Push Strategy for Iceberg Cube Mining. IEEE Trans. Knowl. Data Eng. 17(3): 354-368 (2005) - [j62]Jianyong Wang, Jiawei Han, Ying Lu, Petre Tzvetkov:
TFP: An Efficient Algorithm for Mining Top-K Frequent Closed Itemsets. IEEE Trans. Knowl. Data Eng. 17(5): 652-664 (2005) - [j61]Deng Cai, Xiaofei He, Jiawei Han:
Document Clustering Using Locality Preserving Indexing. IEEE Trans. Knowl. Data Eng. 17(12): 1624-1637 (2005) - [j60]Xifeng Yan, Philip S. Yu, Jiawei Han:
Graph indexing based on discriminative frequent structure analysis. ACM Trans. Database Syst. 30(4): 960-993 (2005) - [c172]Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han:
Mining Closed Relational Graphs with Connectivity Constraints. ICDE 2005: 357-358 - [c171]Xiaolei Li, Jiawei Han, Xiaoxin Yin, Dong Xin:
Mining Evolving Customer-Product Relationships in Multi-Dimensional Space. ICDE 2005: 580-581 - [c170]Haiyan Hu, Xifeng Yan, Yu Huang, Jiawei Han, Xianghong Jasmine Zhou:
Mining coherent dense subgraphs across massive biological networks for functional discovery. ISMB (Supplement of Bioinformatics) 2005: 213-221 - [c169]Chen Chen, Dong Xin, Jiawei Han:
Accelerating DNA sequencing-by-hybridization with noise. BIOKDD 2005: 29-36 - [c168]Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan, Jiawei Han:
Mining hidden community in heterogeneous social networks. LinkKDD 2005: 58-65 - [c167]Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin:
Summarizing itemset patterns: a profile-based approach. KDD 2005: 314-323 - [c166]Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han:
Mining closed relational graphs with connectivity constraints. KDD 2005: 324-333 - [c165]Xiaoxin Yin, Jiawei Han, Philip S. Yu:
Cross-relational clustering with user's guidance. KDD 2005: 344-353 - [c164]Shengnan Cong, Jiawei Han, David A. Padua:
Parallel mining of closed sequential patterns. KDD 2005: 562-567 - [c163]Xiaofei He, Deng Cai, Haifeng Liu, Jiawei Han:
Image clustering with tensor representation. ACM Multimedia 2005: 132-140 - [c162]Xiaoxin Yin, Jiawei Han:
Efficient Classification from Multiple Heterogeneous Databases. PKDD 2005: 404-416 - [c161]Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan, Jiawei Han:
Community Mining from Multi-relational Networks. PKDD 2005: 445-452 - [c160]Wen Jin, Martin Ester, Jiawei Han:
Efficient Processing of Ranked Queries with Sweeping Selection. PKDD 2005: 527-535 - [c159]Shengnan Cong, Jiawei Han, Jay P. Hoeflinger, David A. Padua:
A sampling-based framework for parallel data mining. PPoPP 2005: 255-265 - [c158]Chao Liu, Xifeng Yan, Hwanjo Yu, Jiawei Han, Philip S. Yu:
Mining Behavior Graphs for "Backtrace" of Noncrashing Bugs. SDM 2005: 286-297 - [c157]Hong Cheng, Xifeng Yan, Jiawei Han:
SeqIndex: Indexing Sequences by Sequential Pattern Analysis. SDM 2005: 601-605 - [c156]Xifeng Yan, Philip S. Yu, Jiawei Han:
Substructure Similarity Search in Graph Databases. SIGMOD Conference 2005: 766-777 - [c155]Wei Wang, Chen Wang, Yongtai Zhu, Baile Shi, Jian Pei, Xifeng Yan, Jiawei Han:
GraphMiner: a structural pattern-mining system for large disk-based graph databases and its applications. SIGMOD Conference 2005: 879-881 - [c154]Chao Liu, Xifeng Yan, Long Fei, Jiawei Han, Samuel P. Midkiff:
SOBER: statistical model-based bug localization. ESEC/SIGSOFT FSE 2005: 286-295 - [c153]Xiaoxin Yin, Jiawei Han, Jiong Yang:
Searching for Related Objects in Relational Databases. SSDBM 2005: 227-236 - [c152]Dong Xin, Jiawei Han, Xifeng Yan, Hong Cheng:
Mining Compressed Frequent-Pattern Sets. VLDB 2005: 709-720 - [p4]Haixun Wang, Philip S. Yu, Jiawei Han:
Mining Data Streams. The Data Mining and Knowledge Discovery Handbook 2005: 777-792 - [p3]Peter Bajcsy, Jiawei Han, Lei Liu, Jiong Yang:
Survey of Biodata Analysis from a Data Mining Perspective. Data Mining in Bioinformatics 2005: 9-39 - 2004
- [j59]Jiawei Han, Jian Pei, Yiwen Yin, Runying Mao:
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach. Data Min. Knowl. Discov. 8(1): 53-87 (2004) - [j58]Jian Pei, Jiawei Han, Laks V. S. Lakshmanan:
Pushing Convertible Constraints in Frequent Itemset Mining. Data Min. Knowl. Discov. 8(3): 227-252 (2004) - [j57]Jiawei Han, Jian Pei, Xifeng Yan:
From Sequential Pattern Mining to Structured Pattern Mining: A Pattern-Growth Approach. J. Comput. Sci. Technol. 19(3): 257-279 (2004) - [j56]Jian Pei, Guozhu Dong, Wei Zou, Jiawei Han:
Mining Condensed Frequent-Pattern Bases. Knowl. Inf. Syst. 6(5): 570-594 (2004) - [j55]K. P. Unnikrishnan, Ramasamy Uthurusamy, Jiawei Han:
The third SIGKDD workshop on mining temporal and sequential data (KDD/TDM 2004). SIGKDD Explor. 6(2): 152 (2004) - [j54]Hwanjo Yu, Jiawei Han, Kevin Chen-Chuan Chang:
PEBL: Web Page Classification without Negative Examples. IEEE Trans. Knowl. Data Eng. 16(1): 70-81 (2004) - [j53]Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei, Ke Wang, Wei Zou:
Mining Constrained Gradients in Large Databases. IEEE Trans. Knowl. Data Eng. 16(8): 922-938 (2004) - [j52]Jian Pei, Jiawei Han, Behzad Mortazavi-Asl, Jianyong Wang, Helen Pinto, Qiming Chen, Umeshwar Dayal, Meichun Hsu:
Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach. IEEE Trans. Knowl. Data Eng. 16(11): 1424-1440 (2004) - [c151]Xiaoxin Yin, Jiawei Han, Jiong Yang, Philip S. Yu:
CrossMine: Efficient Classification Across Multiple Database Relations. Constraint-Based Mining and Inductive Databases 2004: 172-195 - [c150]Bin He, Kevin Chen-Chuan Chang, Jiawei Han:
Mining complex matchings across Web query interfaces. DMKD 2004: 3-10 - [c149]Jianyong Wang, Jiawei Han:
BIDE: Efficient Mining of Frequent Closed Sequences. ICDE 2004: 79-90 - [c148]Xiaoxin Yin, Jiawei Han, Jiong Yang, Philip S. Yu:
CrossMine: Efficient Classification Across Multiple Database Relations. ICDE 2004: 399-410 - [c147]Hwanjo Yu, Duane Searsmith, Xiaolei Li, Jiawei Han:
Scalable Construction of Topic Directory with Nonparametric Closed Termset Mining. ICDM 2004: 563-566 - [c146]Bin He, Kevin Chen-Chuan Chang, Jiawei Han:
Discovering complex matchings across web query interfaces: a correlation mining approach. KDD 2004: 148-157 - [c145]Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu:
On demand classification of data streams. KDD 2004: 503-508 - [c144]Hong Cheng, Xifeng Yan, Jiawei Han:
IncSpan: incremental mining of sequential patterns in large database. KDD 2004: 527-532 - [c143]Yifan Li, Jiawei Han, Jiong Yang:
Clustering moving objects. KDD 2004: 617-622 - [c142]Andrew Y. Wu, Michael Garland, Jiawei Han:
Mining scale-free networks using geodesic clustering. KDD 2004: 719-724 - [c141]Won-Young Kim, Young-Koo Lee, Jiawei Han:
CCMine: Efficient Mining of Confidence-Closed Correlated Patterns. PAKDD 2004: 569-579 - [c140]Wen Jin, Jiawei Han, Martin Ester:
Mining Thick Skylines over Large Databases. PKDD 2004: 255-266 - [c139]Xifeng Yan, Philip S. Yu, Jiawei Han:
Graph Indexing: A Frequent Structure-based Approach. SIGMOD Conference 2004: 335-346 - [c138]Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han, Michael Welge, Loretta Auvil:
MAIDS: Mining Alarming Incidents from Data Streams. SIGMOD Conference 2004: 919-920 - [c137]Yifan Li, Jiong Yang, Jiawei Han:
Continuous K-Nearest Neighbor Search for Moving Objects. SSDBM 2004: 123-126 - [c136]Zheng Shao, Jiawei Han, Dong Xin:
MM-Cubing: Computing Iceberg Cubes by Factorizing the Lattice Space. SSDBM 2004: 213-222 - [c135]Xiaolei Li, Jiawei Han, Hector Gonzalez:
High-Dimensional OLAP: A Minimal Cubing Approach. VLDB 2004: 528-539 - [c134]Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu:
A Framework for Projected Clustering of High Dimensional Data Streams. VLDB 2004: 852-863 - 2003
- [j51]AnHai Doan, Ying Lu, Yoonkyong Lee, Jiawei Han:
Profile-Based Object Matching for Information Integration. IEEE Intell. Syst. 18(5): 54-59 (2003) - [j50]Ying Lu, Jiawei Han:
Cancer classification using gene expression data. Inf. Syst. 28(4): 243-268 (2003) - [j49]Anthony K. H. Tung, Hongjun Lu, Jiawei Han, Ling Feng:
Efficient Mining of Intertransaction Association Rules. IEEE Trans. Knowl. Data Eng. 15(1): 43-56 (2003) - [j48]Ke Wang, Yu He, Jiawei Han:
Pushing Support Constraints Into Association Rules Mining. IEEE Trans. Knowl. Data Eng. 15(3): 642-658 (2003) - [c133]Hwanjo Yu, ChengXiang Zhai, Jiawei Han:
Text classification from positive and unlabeled documents. CIKM 2003: 232-239 - [c132]Hwanjo Yu, Jiong Yang, Wei Wang, Jiawei Han:
Discovering Compact and Highly Discriminative Features or Feature Combinations of Drug Activities Using Support Vector Machines. CSB 2003: 220-228 - [c131]Su-Jeong Ko, Jiawei Han:
Mining Typical Preferences of Collaborative User Groups. ER 2003: 419-432 - [c130]Ke Wang, Yuelong Jiang, Jeffrey Xu Yu, Guozhu Dong, Jiawei Han:
Pushing Aggregate Constraints by Divide-and-Approximate. ICDE 2003: 291-302 - [c129]Petre Tzvetkov, Xifeng Yan, Jiawei Han:
TSP: Mining Top-K Closed Sequential Patterns. ICDM 2003: 347-354 - [c128]Young-Koo Lee, Won-Young Kim, Y. Dora Cai, Jiawei Han:
CoMine: Efficient Mining of Correlated Patterns. ICDM 2003: 581-584 - [c127]AnHai Doan, Ying Lu, Yoonkyong Lee, Jiawei Han:
Object Matching for Information Integration: A Profiler-Based Approach. IIWeb 2003: 53-58 - [c126]Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han:
Mining concept-drifting data streams using ensemble classifiers. KDD 2003: 226-235 - [c125]Jianyong Wang, Jiawei Han, Jian Pei:
CLOSET+: searching for the best strategies for mining frequent closed itemsets. KDD 2003: 236-245 - [c124]Xifeng Yan, Jiawei Han:
CloseGraph: mining closed frequent graph patterns. KDD 2003: 286-295 - [c123]Hwanjo Yu, Jiong Yang, Jiawei Han:
Classifying large data sets using SVMs with hierarchical clusters. KDD 2003: 306-315 - [c122]Xifeng Yan, Jiawei Han, Ramin Afshar:
CloSpan: Mining Closed Sequential Patterns in Large Datasets. SDM 2003: 166-177 - [c121]Xiaoxin Yin, Jiawei Han:
CPAR: Classification based on Predictive Association Rules. SDM 2003: 331-335 - [c120]Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu:
A Framework for Clustering Evolving Data Streams. VLDB 2003: 81-92 - [c119]Dong Xin, Jiawei Han, Xiaolei Li, Benjamin W. Wah:
Star-Cubing: Computing Iceberg Cubes by Top-Down and Bottom-Up Integration. VLDB 2003: 476-487 - 2002
- [j47]Jiawei Han, Russ B. Altman, Vipin Kumar, Heikki Mannila, Daryl Pregibon:
Emerging scientific applications in data mining. Commun. ACM 45(8): 54-58 (2002) - [j46]Jiawei Han, Kevin Chen-Chuan Chang:
Data Mining for Web Intelligence. Computer 35(11): 64-70 (2002) - [j45]Jian Pei, Jiawei Han:
Constrained frequent pattern mining: a pattern-growth view. SIGKDD Explor. 4(1): 31-39 (2002) - [j44]Marianne Winslett, Kevin Chen-Chuan Chang, AnHai Doan, Jiawei Han, ChengXiang Zhai, Yuanyuan Zhou:
Database Research at the University of Illinois at Urbana-Champaign. SIGMOD Rec. 31(3): 97-102 (2002) - [j43]Raymond T. Ng, Jiawei Han:
CLARANS: A Method for Clustering Objects for Spatial Data Mining. IEEE Trans. Knowl. Data Eng. 14(5): 1003-1016 (2002) - [j42]Ling Feng, Jeffrey Xu Yu, Hongjun Lu, Jiawei Han:
A template model for multidimensional inter-transactional association rules. VLDB J. 11(2): 153-175 (2002) - [c118]Jian Pei, Jiawei Han, Wei Wang:
Mining sequential patterns with constraints in large databases. CIKM 2002: 18-25 - [c117]Yixin Chen, Guozhu Dong, Jiawei Han, Jian Pei, Benjamin W. Wah, Jianyong Wang:
Online Analytical Processing Stream Data: Is It Feasible? DMKD 2002 - [c116]Ke Wang, Senqiang Zhou, Jiawei Han:
Profit Mining: From Patterns to Actions. EDBT 2002: 70-87 - [c115]Jiawei Han, Jianyong Wang, Ying Lu, Petre Tzvetkov:
Mining Top-K Frequent Closed Patterns without Minimum Support. ICDM 2002: 211-218 - [c114]Jian Pei, Guozhu Dong, Wei Zou, Jiawei Han:
On Computing Condensed Frequent Pattern Bases. ICDM 2002: 378-385 - [c113]Hwanjo Yu, Kevin Chen-Chuan Chang, Jiawei Han:
Heterogeneous Learner for Web Page Classification. ICDM 2002: 538-545 - [c112]Xifeng Yan, Jiawei Han:
gSpan: Graph-Based Substructure Pattern Mining. ICDM 2002: 721-724 - [c111]Jiawei Han:
How Can Data Mining Help Bio-Data Analysis? BIOKDD 2002: 1-2 - [c110]Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han:
Mining frequent item sets by opportunistic projection. KDD 2002: 229-238 - [c109]Hwanjo Yu, Jiawei Han, Kevin Chen-Chuan Chang:
PEBL: positive example based learning for Web page classification using SVM. KDD 2002: 239-248 - [c108]Ke Wang, Liu Tang, Jiawei Han, Junqiang Liu:
Top Down FP-Growth for Association Rule Mining. PAKDD 2002: 334-340 - [c107]Jiong Yang, Wei Wang, Philip S. Yu, Jiawei Han:
Mining long sequential patterns in a noisy environment. SIGMOD Conference 2002: 406-417 - [c106]Jiawei Han, Jianyong Wang, Guozhu Dong, Jian Pei, Ke Wang:
CubeExplorer: online exploration of data cubes. SIGMOD Conference 2002: 626 - [c105]Yixin Chen, Guozhu Dong, Jiawei Han, Benjamin W. Wah, Jianyong Wang:
Multi-Dimensional Regression Analysis of Time-Series Data Streams. VLDB 2002: 323-334 - [c104]Laks V. S. Lakshmanan, Jian Pei, Jiawei Han:
Quotient Cube: How to Summarize the Semantics of a Data Cube. VLDB 2002: 778-789 - [e3]Robert L. Grossman, Jiawei Han, Vipin Kumar, Heikki Mannila, Rajeev Motwani:
Proceedings of the Second SIAM International Conference on Data Mining, Arlington, VA, USA, April 11-13, 2002. SIAM 2002, ISBN 978-0-89871-517-0 [contents] - 2001
- [j41]Kenneth A. Ross, Jiawei Han, Nick Koudas, Rajeev Rastogi, Daniel J. Rosenkrantz, Peter Scheuermann, Dan Suciu:
Reminiscences on Influential Papers. SIGMOD Rec. 30(3): 101-104 (2001) - [c103]Helen Pinto, Jiawei Han, Jian Pei, Ke Wang, Qiming Chen, Umeshwar Dayal:
Multi-Dimensional Sequential Pattern Mining. CIKM 2001: 81-88 - [c102]Sonny Han Seng Chee, Jiawei Han, Ke Wang:
RecTree: An Efficient Collaborative Filtering Method. DaWaK 2001: 141-151 - [c101]Jian Pei, Anthony K. H. Tung, Jiawei Han:
Fault-Tolerant Frequent Pattern Mining: Problems and Challenges. DMKD 2001 - [c100]Jian Pei, Jiawei Han, Behzad Mortazavi-Asl, Helen Pinto, Qiming Chen, Umeshwar Dayal, Meichun Hsu:
PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth. ICDE 2001: 215-224 - [c99]Anthony K. H. Tung, Jean Hou, Jiawei Han:
Spatial Clustering in the Presence of Obstacles. ICDE 2001: 359-367 - [c98]Jian Pei, Jiawei Han, Laks V. S. Lakshmanan:
Mining Frequent Item Sets with Convertible Constraints. ICDE 2001: 433-442 - [c97]Wenmin Li, Jiawei Han, Jian Pei:
CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules. ICDM 2001: 369-376 - [c96]Jian Pei, Jiawei Han, Hongjun Lu, Shojiro Nishio, Shiwei Tang, Dongqing Yang:
H-Mine: Hyper-Structure Mining of Frequent Patterns in Large Databases. ICDM 2001: 441-448 - [c95]Anthony K. H. Tung, Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han:
Constraint-based clustering in large databases. ICDT 2001: 405-419 - [c94]Jiawei Han, Laks V. S. Lakshmanan, Jian Pei:
Scalable frequent-pattern mining methods: an overview. KDD Tutorials 2001 - [c93]Wen Jin, Anthony K. H. Tung, Jiawei Han:
Mining top-n local outliers in large databases. KDD 2001: 293-298 - [c92]Jiawei Han, Jian Pei, Guozhu Dong, Ke Wang:
Efficient Computation of Iceberg Cubes with Complex Measures. SIGMOD Conference 2001: 1-12 - [c91]Jiawei Han, Hasan M. Jamil, Ying Lu, Liangyou Chen, Yaqin Liao, Jian Pei:
DNA-Miner: A System Prototype for Mining DNA Sequences. SIGMOD Conference 2001: 618 - [c90]Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei, Ke Wang:
Mining Multi-Dimensional Constrained Gradients in Data Cubes. VLDB 2001: 321-330 - 2000
- [b1]Jiawei Han, Micheline Kamber:
Data Mining: Concepts and Techniques. Morgan Kaufmann 2000, ISBN 1-55860-489-8 - [j40]David Wai-Lok Cheung, H. Y. Hwang, Ada Wai-Chee Fu, Jiawei Han:
Efficient Rule-Based Attribute-Oriented Induction for Data Mining. J. Intell. Inf. Syst. 15(2): 175-200 (2000) - [j39]Harvey J. Miller, Jiawei Han:
Discovering Geographic Knowledge in Data Rich Environments: A Report on a Specialist Meeting. SIGKDD Explor. 1(2): 105-107 (2000) - [j38]Jiawei Han, Jian Pei:
Mining Frequent Patterns by Pattern-Growth: Methodology and Implications. SIGKDD Explor. 2(2): 14-20 (2000) - [j37]Nebojsa Stefanovic, Jiawei Han, Krzysztof Koperski:
Object-Based Selective Materialization for Efficient Implementation of Spatial Data Cubes. IEEE Trans. Knowl. Data Eng. 12(6): 938-958 (2000) - [j36]Hongjun Lu, Ling Feng, Jiawei Han:
Beyond intratransaction association analysis: mining multidimensional intertransaction association rules. ACM Trans. Inf. Syst. 18(4): 423-454 (2000) - [c89]Edward Kim, Joyce M. W. Lam, Jiawei Han:
AIM: Approximate Intelligent Matching for Time Series Data. DaWaK 2000: 347-357 - [c88]Jian Pei, Jiawei Han, Runying Mao:
CLOSET: An Efficient Algorithm for Mining Frequent Closed Itemsets. ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 2000: 21-30 - [c87]Osmar R. Zaïane, Jiawei Han:
Discovering spatial associations in images. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2000: 138-147 - [c86]Osmar R. Zaïane, Jiawei Han, Hua Zhu:
Mining Recurrent Items in Multimedia with Progressive Resolution Refinement. ICDE 2000: 461-470 - [c85]Anthony K. H. Tung, Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han:
Geo-Spatial Clustering with User-Specified Constraints. MDM/KDD 2000: 1-7 - [c84]Jian Pei, Jiawei Han:
Can we push more constraints into frequent pattern mining? KDD 2000: 350-354 - [c83]Jiawei Han, Jian Pei, Behzad Mortazavi-Asl, Qiming Chen, Umeshwar Dayal, Meichun Hsu:
FreeSpan: frequent pattern-projected sequential pattern mining. KDD 2000: 355-359 - [c82]Anthony K. H. Tung, Jean Hou, Jiawei Han:
COE: Clustering with Obstacles Entities. A Preliminary Study. PAKDD 2000: 165-168 - [c81]Jian Pei, Jiawei Han, Behzad Mortazavi-Asl, Hua Zhu:
Mining Access Patterns Efficiently from Web Logs. PAKDD 2000: 396-407 - [c80]Jiawei Han, Jian Pei, Yiwen Yin:
Mining Frequent Patterns without Candidate Generation. SIGMOD Conference 2000: 1-12 - [c79]Ke Wang, Yu He, Jiawei Han:
Mining Frequent Itemsets Using Support Constraints. VLDB 2000: 43-52
1990 – 1999
- 1999
- [j35]Jiawei Han, Laks V. S. Lakshmanan, Raymond T. Ng:
Constraint-Based Multidimensional Data Mining. Computer 32(8): 46-50 (1999) - [j34]Jiawei Han, Zhaohui Xie, Yongjian Fu:
Join Index Hierarchy: An Indexing Structure for Efficient Navigation in Object-Oriented Databases. IEEE Trans. Knowl. Data Eng. 11(2): 321-337 (1999) - [j33]Jiawei Han, Yongjian Fu:
Mining Multiple-Level Association Rules in Large Databases. IEEE Trans. Knowl. Data Eng. 11(5): 798-804 (1999) - [c78]Ling Feng, Hongjun Lu, Jeffrey Xu Yu, Jiawei Han:
Mining Inter-Transaction Associations with Templates. CIKM 1999: 225-233 - [c77]Jiawei Han, Qiang Yang, Edward Kim:
Plan Mining by Divide-and-Conquer. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 1999 - [c76]Jiawei Han, Guozhu Dong, Yiwen Yin:
Efficient Mining of Partial Periodic Patterns in Time Series Database. ICDE 1999: 106-115 - [c75]Anthony K. H. Tung, Hongjun Lu, Jiawei Han, Ling Feng:
Breaking the Barrier of Transactions: Mining Inter-Transaction Association Rules. KDD 1999: 297-301 - [c74]Laks V. S. Lakshmanan, Raymond T. Ng, Jiawei Han, Alex Pang:
Optimization of Constrained Frequent Set Queries with 2-variable Constraints. SIGMOD Conference 1999: 157-168 - [c73]Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han, Teresa Mah:
Exploratory Mining via Constrained Frequent Set Queries. SIGMOD Conference 1999: 556-558 - [c72]Xiaofang Zhou, David Truffet, Jiawei Han:
Efficient Polygon Amalgamation Methods for Spatial OLAP and Spatial Data Mining. SSD 1999: 167-187 - [e2]Jiawei Han:
Tutorial Notes for ACM SIGKDD 1999 International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 15-18, 1999. ACM 1999, ISBN 1-58113-171-2 [contents] - [i1]Jiawei Han:
Review - An Array-Based Algorithm for Simultaneous Multidimensional Aggregates. ACM SIGMOD Digit. Rev. 1 (1999) - 1998
- [j32]Raymond T. Ng, Jiawei Han, Laks V. S. Lakshmanan:
Editorial. Data Min. Knowl. Discov. 2(3): 231-232 (1998) - [j31]Jiawei Han, Shojiro Nishio, Hiroyuki Kawano, Wei Wang:
Generalization-Based Data Mining in Object-Oriented Databases Using an Object Cube Model. Data Knowl. Eng. 25(1-2): 55-97 (1998) - [j30]Jiawei Han, Ling Liu, Tong Lu:
Evaluation of Declarative n-Queens Recursion: A Deductive Database Approach. Inf. Sci. 105(1-4): 69-100 (1998) - [j29]Deyi Li, Jiawei Han, Xuemei Shi, Man-chung Chan:
Knowledge representation and discovery based on linguistic atoms. Knowl. Based Syst. 10(7): 431-440 (1998) - [j28]Jiawei Han:
Towards On-Line Analytical Mining in Large Databases. SIGMOD Rec. 27(1): 97-107 (1998) - [c71]Osmar R. Zaïane, Man Xin, Jiawei Han:
Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs. ADL 1998: 19-29 - [c70]Osmar R. Zaïane, Jiawei Han, Ze-Nian Li, Jean Hou:
Mining multimedia data. CASCON 1998: 24 - [c69]Jiawei Han, Wan Gong, Yiwen Yin:
Mining Segment-Wise Periodic Patterns in Time-Related Databases. KDD 1998: 214-218 - [c68]Jiawei Han, Nebojsa Stefanovic, Krzysztof Koperski:
Selective Materialization: An Efficient Method for Spatial Data Cube Construction. PAKDD 1998: 144-158 - [c67]Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han, Alex Pang:
Exploratory Mining and Pruning Optimizations of Constrained Association Rules. SIGMOD Conference 1998: 13-24 - [c66]Osmar R. Zaïane, Jiawei Han, Ze-Nian Li, Sonny Han Seng Chee, Jenny Chiang:
MultiMediaMiner: A System Prototype for Multimedia Data Mining. SIGMOD Conference 1998: 581-583 - [c65]Osmar R. Zaïane, Jiawei Han:
WebML: Querying the World-Wide Web for Resources and Knowledge. Workshop on Web Information and Data Management 1998: 9-12 - 1997
- [c64]Jiawei Han, Jenny Chiang, Sonny Han Seng Chee, Jianping Chen, Qing Chen, Shan Cheng, Wan Gong, Micheline Kamber, Krzysztof Koperski, Gang Liu, Yijun Lu, Nebojsa Stefanovic, Lara Winstone, Betty Xia, Osmar R. Zaïane, Shuhua Zhang, Hua Zhu:
DBMiner: a system for data mining in relational databases and data warehouses. CASCON 1997: 8 - [c63]Jiawei Han:
OLAP Mining: Integration of OLAP with Data Mining. DS-7 1997: 3-20 - [c62]Jiawei Han:
Data Mining: Where is it Heading? (Panel). ICDE 1997: 508 - [c61]Micheline Kamber, Jiawei Han, Jenny Chiang:
Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes. KDD 1997: 207-210 - [c60]Micheline Kamber, Lara Winstone, Wang Gon, Jiawei Han:
Generalization and Decision Tree Induction: Efficient Classification in Data Mining. RIDE 1997: 111-120 - [c59]Jiawei Han, Krzysztof Koperski, Nebojsa Stefanovic:
GeoMiner: A System Prototype for Spatial Data Mining. SIGMOD Conference 1997: 553-556 - 1996
- [j27]Jiawei Han, Yue Huang, Nick Cercone, Yongjian Fu:
Intelligent Query Answering by Knowledge Discovery Techniques. IEEE Trans. Knowl. Data Eng. 8(3): 373-390 (1996) - [j26]Ming-Syan Chen, Jiawei Han, Philip S. Yu:
Data Mining: An Overview from a Database Perspective. IEEE Trans. Knowl. Data Eng. 8(6): 866-883 (1996) - [j25]Beng Chin Ooi, Jiawei Han, Hongjun Lu, Kian-Lee Tan:
Index Nesting - An Efficient Approach to Indexing in Object-Oriented Databases. VLDB J. 5(3): 215-228 (1996) - [c58]Krzysztof Koperski, Junas Adhikary, Jiawei Han:
Spatial Data Mining: Progress and Challenges. DMKD 1996 - [c57]David Wai-Lok Cheung, Jiawei Han, Vincent T. Y. Ng, C. Y. Wong:
Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique. ICDE 1996: 106-114 - [c56]Jiawei Han, Yongjian Fu, Wei Wang, Jenny Chiang, Wan Gong, Krzysztof Koperski, Deyi Li, Yijun Lu, Amynmohamed Rajan, Nebojsa Stefanovic, Betty Xia, Osmar R. Zaïane:
DBMiner: A System for Mining Knowledge in Large Relational Databases. KDD 1996: 250-255 - [c55]David Wai-Lok Cheung, Jiawei Han, Vincent T. Y. Ng, Ada Wai-Chee Fu, Yongjian Fu:
A Fast Distributed Algorithm for Mining Association Rules. PDIS 1996: 31-42 - [c54]Jiawei Han:
Data Mining Techniques. SIGMOD Conference 1996: 545 - [c53]Jiawei Han, Yongjian Fu, Wei Wang, Jenny Chiang, Osmar R. Zaïane, Krzysztof Koperski:
DBMiner: Interactive Mining of Multiple-Level Knowledge in Relational Databases. SIGMOD Conference 1996: 550 - [p2]Jiawei Han, Yongjian Fu:
Attribute-Oriented Induction in data Mining. Advances in Knowledge Discovery and Data Mining 1996: 399-421 - [e1]Evangelos Simoudis, Jiawei Han, Usama M. Fayyad:
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), Portland, Oregon, USA. AAAI Press 1996, ISBN 1-57735-004-9 [contents] - 1995
- [j24]Wei Lu, Jiawei Han:
Information-Associated Join Indices for Spatial Range Search. Int. J. Geogr. Inf. Sci. 9(3): 221-249 (1995) - [j23]Yan-Nong Huang, Verónica Dahl, Jiawei Han:
Fact Updates in Logic Databases. Int. J. Softw. Eng. Knowl. Eng. 5(3): 467-491 (1995) - [j22]Wei Lu, Jiawei Han:
Query evaluation and optimization in deductive and object-oriented spatial databases. Inf. Softw. Technol. 37(3): 131-143 (1995) - [j21]Jiawei Han, Laks V. S. Lakshmanan:
Evaluation of Regular Nonlinear Recursions by Deductive Database Techniques. Inf. Syst. 20(5): 419-441 (1995) - [j20]Jiawei Han:
Chain-Split Evaluation in Deductive Databases. IEEE Trans. Knowl. Data Eng. 7(2): 261-273 (1995) - [c52]Jiawei Han:
Mining Knowledge at Multiple Concept Levels. CIKM 1995: 19-24 - [c51]Yongjian Fu, Jiawei Han:
Meta-Rule-Guided Mining of Association Rules in Relational Databases. KDOOD/TDOOD 1995: 39-46 - [c50]David Wai-Lok Cheung, Jiawei Han:
Maintenance of Discovered Knowledge: A Strategy for Updating Association Rules (Abstract). KDOOD/TDOOD 1995: 58-60 - [c49]Zhaohui Xie, Jiawei Han:
Normalization and Compilation of Deductive and Object-Oriented Databases Programs for Efficient Query Evaluation. DOOD 1995: 485-502 - [c48]Jiawei Han, Yongjian Fu, Simon Tang:
Advances of the DBLearn System for Knowledge Discovery in Large Databases. IJCAI 1995: 2049-2050 - [c47]Osmar R. Zaïane, Jiawei Han:
Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment. KDD 1995: 331-336 - [c46]Krzysztof Koperski, Jiawei Han:
Discovery of Spatial Association Rules in Geographic Information Databases. SSD 1995: 47-66 - [c45]Jiawei Han, Yongjian Fu:
Discovery of Multiple-Level Association Rules from Large Databases. VLDB 1995: 420-431 - 1994
- [j19]Jim Gemmell, Jiawei Han, Richard J. Beaton, Stavros Christodoulakis:
Delay-Sensitive Multimedia on Disks. IEEE Multim. 1(3): 56-67 (1994) - [j18]Jim Gemmell, Jiawei Han:
Multichannel Delay Sensitive Data Retrieval. Multim. Syst. 1(6): 240-252 (1994) - [j17]Jiawei Han:
Towards Efficient Induction Mechanisms in Database Systems. Theor. Comput. Sci. 133(2): 361-385 (1994) - [j16]Jiawei Han:
Constraint-Based Query Evaluation in Deductive Databases. IEEE Trans. Knowl. Data Eng. 6(1): 96-107 (1994) - [j15]Wenyu Lu, Dik Lun Lee, Jiawei Han:
A Study on the Structure of Linear Recursion. IEEE Trans. Knowl. Data Eng. 6(5): 723-737 (1994) - [c44]Jiawei Han, Ling Liu, Zhaohui Xie:
LogicBase: A Deductive Database System Prototype. CIKM 1994: 226-233 - [c43]Jiawei Han, Yongjian Fu, Raymond T. Ng:
Cooperative Query Answering Using Multiple Layered Databases. CoopIS 1994: 47-58 - [c42]Hiroyuki Kawano, Shojiro Nishio, Jiawei Han, Toshiharu Hasegawa:
How Does Knowledge Discovery Cooperate with Active Database Techniques in Controlling Dynamic Environment? DEXA 1994: 370-379 - [c41]David Wai-Lok Cheung, Ada Wai-Chee Fu, Jiawei Han:
A Case-Based Reasoning Approach for Associative Query Answering. ISMIS 1994: 164-173 - [c40]Yan-Nong Huang, Verónica Dahl, Jiawei Han:
Incremental Processing of Logic Database Relations. ISMIS 1994: 561-570 - [c39]Jiawei Han, Yongjian Fu:
Dynamic Generation and Refinement of Concept Hierarchies for Knowledge Discovery in Databases. KDD Workshop 1994: 157-168 - [c38]Jiawei Han, Yongjian Fu, Yue Huang, Yandong Cai, Nick Cercone:
DBLearn: A System Prototype for Knowledge Discovery in Relational Databases. SIGMOD Conference 1994: 516 - [c37]Raymond T. Ng, Jiawei Han:
Efficient and Effective Clustering Methods for Spatial Data Mining. VLDB 1994: 144-155 - [c36]Zhaohui Xie, Jiawei Han:
Join Index Hierarchies for Supporting Efficient Navigations in Object-Oriented Databases. VLDB 1994: 522-533 - 1993
- [j14]Jiawei Han:
Compilation and evaluation of linear mutual recursions. Inf. Sci. 69(1): 157-183 (1993) - [j13]Jiawei Han, Yandong Cai, Nick Cercone:
Data-Driven Discovery of Quantitative Rules in Relational Databases. IEEE Trans. Knowl. Data Eng. 5(1): 29-40 (1993) - [c35]Jiawei Han, Ling Liu, Zhaohui Xie:
LogicBase: A System Prototype for Deductive Query Evaluation. Workshop on Programming with Logic Databases (Informal Proceedings), ILPS 1993: 146-160 - [c34]Jiawei Han, Ling Liu, Zhaohui Xie:
Outline of the LogicBase Demonstration. Workshop on Programming with Logic Databases (Informal Proceedings), ILPS 1993: 165 - [c33]Jiawei Han, Kangsheng Zeng, Tong Lu:
Normalization of Linear Recursions in Deductive Databases. ICDE 1993: 559-567 - [c32]Laks V. S. Lakshmanan, Karima Ashraf, Jiawei Han:
Homomorphic Tree Embeddings and Their Applications to Recursive Program Optimization. LICS 1993: 344-353 - [c31]Nick Cercone, Paul McFetridge, Jiawei Han, Fred Popowich:
Human-Computer Interfaces: DBLEARN and System X. RSKD 1993: 32-43 - [c30]Xiaohua Hu, Nick Cercone, Jiawei Han:
An Attribute-Oriented Rough Set Approach for Knowledge Discovery in Databases. RSKD 1993: 90-99 - [c29]Jiawei Han, Laks V. S. Lakshmanan:
Evaluation of Regular Nonlinear Recursive Programs. ILPS 1993: 648 - 1992
- [j12]Jiawei Han:
On the Power of Query-Independent Compilation. Int. J. Softw. Eng. Knowl. Eng. 2(2): 277-292 (1992) - [j11]Jiawei Han, Ze-Nian Li:
Deductive-ER: deductive entity-relationship data model and its data language. Inf. Softw. Technol. 34(3): 192-204 (1992) - [j10]Jiawei Han:
Binding Propagation Beyond the Reach of Rule/Goal Graphs. Inf. Process. Lett. 42(5): 263-268 (1992) - [j9]Jiawei Han, Kangsheng Zeng:
Automatic generation of compiled forms for linear recursions. Inf. Syst. 17(4): 299-322 (1992) - [j8]Cheong Youn, Hyoung-Joo Kim, Lawrence J. Henschen, Jiawei Han:
Classification and Compilation of Linear Recursive Queries in Deductive Databases. IEEE Trans. Knowl. Data Eng. 4(1): 52-67 (1992) - [c28]Jiawei Han:
Efficient Deduction and Induction: Key to the Success of Data-Intensive Knowledge-Base Systems. Formal Methods in Databases and Software Engineering 1992: 139-157 - [c27]Jiawei Han, Tong Lu:
N-Queens Problem Revisited: A Deductive Database Approach. Workshop on Deductive Databases, JICSLP 1992: 48-55 - [c26]Ling Liu, Jiawei Han:
Compressed Counting Method. Workshop on Deductive Databases, JICSLP 1992: 76-85 - [c25]Jiawei Han:
Compilation-Based List Processing in Deductive Databases. EDBT 1992: 104-119 - [c24]Wei Lu, Jiawei Han:
Distance-Associated Join Indices for Spatial Range Search. ICDE 1992: 284-292 - [c23]Jiawei Han:
Chain-Split Evaluation in Deductive Databases. ICDE 1992: 376-384 - [c22]Jiawei Han:
Chain-Based Evaluation - A Bridge Linking Recursive and Nonrecursive Query Evaluation. RIDE-TQP 1992: 132-139 - [c21]Jiawei Han, Yandong Cai, Nick Cercone:
Knowledge Discovery in Databases: An Attribute-Oriented Approach. VLDB 1992: 547-559 - 1991
- [j7]Yandong Cai, Nick Cercone, Jiawei Han:
Learning in relational databases: an attribute-oriented approach. Comput. Intell. 7: 119-132 (1991) - [j6]Jiawei Han, Qiang Wang:
Evaluation of functional linear recursions: a compilation approach. Inf. Syst. 16(4): 463-469 (1991) - [j5]Jiawei Han, Ling Liu:
Efficient Evaluation of Multiple Linear Recursions. IEEE Trans. Software Eng. 17(12): 1241-1252 (1991) - [c20]Chee Chin Low, Hongjun Lu, Beng Chin Ooi, Jiawei Han:
Efficient Access Methods in Deductive and Object-Oriented Databases. DOOD 1991: 68-84 - [c19]Jiawei Han:
On the Power of Query-Independent Compilation. ICCI 1991: 185-196 - [c18]Jiawei Han:
Constraint-Based Reasoning in Deductive Databases. ICDE 1991: 257-265 - [c17]Jiawei Han, Qiang Wang:
Efficient Evaluation of Linear Recursions with Function Sysmbols in Deductive Databases. ISMIS 1991: 132-141 - [p1]Yandong Cai, Nick Cercone, Jiawei Han:
Attribute-Oriented Induction in Relational Databases. Knowledge Discovery in Databases 1991: 213-228 - 1990
- [j4]Jiawei Han:
From transitive closure recursions to single-chain recursions. Inf. Syst. 15(4): 479-488 (1990) - [c16]Yandong Cai, Nick Cercone, Jiawei Han:
An Attribute-Oriented Approach for Learning Classification Rules from Relational Databases. ICDE 1990: 281-288 - [c15]W. S. Luk, Weining Zhang, Jiawei Han:
Path: An Approach to Incorporate List Processing in A Relational Database. SEKE 1990: 189-194
1980 – 1989
- 1989
- [j3]Jiawei Han:
Compiling general linear recursions by variable connection graph analysis. Comput. Intell. 5: 12-31 (1989) - [j2]Jiawei Han:
Multi-way counting method. Inf. Syst. 14(3): 219-229 (1989) - [j1]Jiawei Han, Wenyu Lu:
Asynchronous Chain Recursions. IEEE Trans. Knowl. Data Eng. 1(2): 185-195 (1989) - [c14]Jiawei Han, Wenyu Lu:
Asynchronous Chain Recursions. DASFAA 1989: 285-292 - [c13]Jiawei Han, Lawrence J. Henschen:
The Level-Cycle Merging Method. DOOD 1989: 65-81 - [c12]Jiawei Han, Lawrence J. Henschen, Ning Zhuang:
Derivation of Magic Sets by Compilation. SEKE 1989: 164-171 - [c11]Jiawei Han, Ling Liu:
Processing Multiple Linear Recursions. NACLP 1989: 816-830 - 1988
- [c10]Jiawei Han, Ghassan Z. Qadah, Chinying Chaou:
The Processing and Evaluation of Transitive Closure Queries. EDBT 1988: 49-75 - [c9]Sanggoo Lee, Jiawei Han:
Semantic Query Optimization in Recursive Databases. ICDE 1988: 444-451 - [c8]Jiawei Han, Wo-Shun Luk:
What Kinds of Recursion Can Be Processed by Transitive Closure Strategies? ISMIS 1988: 170-179 - [c7]Jiawei Han:
Selection of Processing Strategies for Different Recursive Queries. JCDKB 1988: 59-68 - [c6]Cheong Youn, Lawrence J. Henschen, Jiawei Han:
One-Directional Recursive Formulas. JCDKB 1988: 69-78 - [c5]Cheong Youn, Lawrence J. Henschen, Jiawei Han:
Classification of Recursive Formulas in Deductive Databases. SIGMOD Conference 1988: 320-328 - 1987
- [c4]Jiawei Han, Lawrence J. Henschen:
Handling Redundancy in the Processing of Recursive Database Queries. SIGMOD Conference 1987: 73-81 - 1986
- [c3]Jiawei Han, Hongjun Lu:
Some Performance Results on Recursive Query Processing in Relational Database Systems. ICDE 1986: 533-541 - 1985
- [c2]Jiawei Han, Larry Travis:
Knowledge-Directed Recursive Rule Compilation in Expert Database Systems. CAIA 1985: 137-141 - [c1]Jiawei Han, Larry Travis:
Using Expert Knowledge in Database-Oriented Problem Solving. ICIS 1985: 2
Coauthor Index
Xin Dong 0001
aka: Xin Luna Dong
aka: Xin Luna Dong
[j183] [c592] [j176] [c531] [c530] [j171] [j170] [c507] [c506] [c501] [c496] [i11] [b6] [j159] [j156] [c484] [c476] [c472] [j148] [j146] [c458] [c438] [c435] [c429] [c410] [c405] [c404] [j129] [j116] [j112] [c373] [c372] [c367] [c354] [c319] [c314] [c308] [c305] [c304] [c283] [c279] [c274] [c270] [c269] [c268] [c267] [j94] [c258] [c250] [c246] [c245] [p10] [c223] [c210]
Tim Hanratty
aka: Timothy P. Hanratty
aka: Timothy P. Hanratty
[j204] [c801] [c800] [c799] [c789] [i220] [i218] [i202] [i190] [c773] [c767] [c766] [c763] [c762] [c760] [i182] [i171] [i165] [i163] [i160] [i159] [c736] [c735] [c731] [c730] [c728] [c727] [c723] [c719] [c714] [i151] [i143] [i136] [i134] [i133] [i130] [c703] [c701] [c700] [c691] [c690] [c689] [c688] [i122] [i121] [i115] [i114] [i113] [c666] [c663] [c661] [i90] [i83] [i81] [i79] [i75] [c634] [c620] [i69] [c603] [j182] [c571] [c551] [i25] [c548] [c547] [c540] [c532] [c529] [c523] [i18] [i14] [c516] [c515] [c509] [c506] [c501] [j158] [c489] [c486] [c473] [c462] [c451] [c441] [c434] [j137] [c425] [c424] [c402] [i2]
[c802] [c794] [c792] [i215] [i209] [i202] [c772] [c758] [c755] [c754] [c752] [c750] [c746] [c745] [c744] [c743] [c741] [d3] [d2] [d1] [i187] [i186] [i183] [i179] [i177] [i173] [i169] [i158] [c724] [c722] [c720] [c718] [c716] [c715] [c710] [i155] [i154] [i149] [i147] [i140] [i131] [i128] [c700] [c694] [c693] [c687] [c683] [c679] [c677] [i125] [i120] [i114] [i109] [i108] [j194] [c663] [c661] [c660] [c654] [c653] [c649] [c647] [c639] [c638] [i103] [i95] [i88] [i81] [i80] [i79] [i74] [j190] [c635] [c623] [c619] [i68] [i54] [i51] [c602] [i35] [i30]
[c704] [c687] [c672] [c665] [c662] [i85] [i84] [i75] [j191] [c636] [c633] [c631] [c626] [c614] [i69] [i66] [i65] [i53] [i52] [i49] [b9] [j184] [c609] [c608] [c603] [c600] [c599] [c591] [c581] [c580] [c579] [i45] [i40] [i39] [i37] [i34] [i33] [j182] [c578] [c574] [c571] [c564] [c563] [c560] [c557] [c554] [c552] [c551] [i29] [i28] [i26] [i25] [i24] [i23] [i21] [i20] [c543] [c540] [c532] [c529] [c523] [c519] [c518] [i18] [i14] [c505] [c499] [c493] [i10] [c481] [c474] [c473] [c467] [c465] [c452] [c437]
[c737] [c709] [i148] [c694] [c687] [c675] [i124] [i120] [c671] [c662] [c648] [c640] [i97] [i85] [j191] [j190] [c633] [c625] [c621] [c616] [c614] [i69] [i64] [i57] [i56] [i53] [j185] [j184] [c609] [c601] [c600] [c599] [c584] [c580] [i45] [i44] [i43] [i40] [i39] [i38] [i34] [b8] [j181] [c577] [c574] [c564] [c560] [c557] [c552] [i29] [i28] [i24] [i23] [c545] [c542] [c527] [c526] [c518] [i13] [i12] [c493]
[i212] [c749] [c740] [b11] [c739] [c737] [c732] [c721] [c711] [i157] [i142] [i132] [c706] [c701] [c687] [i123] [i119] [i118] [i115] [c671] [c666] [c662] [c648] [c642] [c638] [i104] [i103] [i97] [i85] [i83] [c636] [c635] [c628] [c627] [c621] [i63] [i62] [i57] [i56] [i53] [i52] [c608] [c602] [c601] [c591] [c589] [c584] [i43] [i38] [i37] [i35] [i33] [i31] [i30] [c578] [c560]
[j199] [j197] [c736] [i143] [i100] [r26] [c575] [c525] [c516] [c515] [j155] [c489] [c487] [c473] [c465] [p33] [r15] [j150] [j148] [c462] [c452] [c437] [c432] [p23] [b5] [j140] [j136] [j134] [j133] [c426] [c421] [c420] [c418] [c417] [c410] [c408] [c407] [c405] [c396] [p22] [i5] [j125] [c390] [c389] [c386] [c365] [c346] [c340] [c334] [c326] [c325] [c314] [c311] [c304] [c301] [p15] [j96] [c291] [c286] [c279] [c274] [c272] [c269] [c238] [c237]
Lu-An Tang
aka: Lu An Tang
aka: Lu An Tang
Bhavani Thuraisingham
aka: Bhavani M. Thuraisingham
aka: Bhavani M. Thuraisingham
[c642] [i104] [r25] [c570] [c519] [b7] [j172] [c509] [c505] [c503] [c499] [c496] [c493] [j160] [c486] [c479] [c477] [c474] [c473] [c470] [r14] [i9] [i8] [c456] [c452] [c451] [c449] [c448] [c444] [c443] [c442] [c441] [c439] [c435] [c433] [c432] [i7] [c402] [c388] [c362] [c352] [c350] [c346] [c315] [c314]
Frank F. Xu
aka: Frank Fangzheng Xu
aka: Frank Fangzheng Xu
[j199] [c517] [c513] [c484] [c482] [c480] [p29] [j150] [c458] [c453] [c443] [p26] [j134] [c420] [c408] [j126] [j125] [c381] [j106] [c329] [c323] [c301] [p18] [p16] [p14] [p12] [p11] [j100] [j97] [c285] [c265] [c261] [c256] [c252] [c246] [c239] [p9] [j85] [j83] [c229] [c228] [c221] [c220] [c212] [c201] [j77] [j70] [j69] [c194] [c193] [c186] [c182] [j65] [j60] [c172] [c170] [c168] [c167] [c166] [c161] [c158] [c157] [c156] [c155] [c154] [c152] [j57] [c144] [c139] [c129] [c124] [c122] [c112]
[c789] [i220] [j200] [j199] [j198] [i89] [c569] [p32] [j150] [p26] [j134] [c420] [c408] [j126] [j125] [c381] [j106] [c329] [c301] [p19] [p17] [p16] [p13] [e5] [j100] [c285] [c265] [j94] [j88] [c256] [c252] [c246] [c239] [p9] [p7] [e4] [j84] [c229] [c227] [c220] [c217] [c212] [c210] [c201] [p6] [j74] [j72] [j70] [c194] [c193] [c189] [c184] [c176] [j68] [j60] [c165] [c158] [c156] [p4] [c151] [c148] [c145] [c139] [c134] [c126] [c120] [c107] [j26]
ChengXiang Zhai
aka: Chengxiang Zhai
aka: Chengxiang Zhai
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last updated on 2025-01-30 21:33 CET by the dblp team
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