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ORCIDHong Cheng 0001
Person information
- affiliation: Chinese University of Hong Kong, Department of SEEM, China
- affiliation (PhD 2008): University of Illinois, Urbana, IL, USA
Other persons with the same name
- Hong Cheng — disambiguation page
- Hong Cheng 0002
![[0000-0001-5532-9530]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5532-9530")
— University of Electronic Science and Technology of China, Center for Robotics, School of Automation Engineering, Chengdu, China (and 2 more) - Hong Cheng 0003 — China University of Mining and Technology, School of Mechanical, Electronic and Information Engineering, Beijing, China
- Hong Cheng 0004 — University of Electronic Science and Technology of China, School of Mathematical Sciences, Chengdu, China
- Hong Cheng 0005 — Chengdu University of Technology, Logistics Management Department, College of Management Science, China
- Hong Cheng 0006 — Shanghai Lixin University of Accounting and Finance, School of Statistics and Mathematics, China (and 1 more)
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2020 – today
- 2024
[j66]Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu:
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers. ACM Comput. Surv. 56(11): 293:1-293:39 (2024)- [j65]Wen Deng, Weiguo Zheng, Hong Cheng:
Accelerating Maximal Clique Enumeration via Graph Reduction. Proc. VLDB Endow. 17(10): 2419-2431 (2024) - [j64]Rui Zhang, Yixin Su, Bayu Distiawan Trisedya, Xiaoyan Zhao, Min Yang, Hong Cheng, Jianzhong Qi:
AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment Enabled by Large Language Models. IEEE Trans. Knowl. Data Eng. 36(6): 2357-2371 (2024) - [j63]Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin:
Counter-Empirical Attacking Based on Adversarial Reinforcement Learning for Time-Relevant Scoring System. IEEE Trans. Knowl. Data Eng. 36(11): 5849-5859 (2024) - [c107]Chun Hei Lo, Wai Lam, Hong Cheng, Guy Emerson:
Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics. ACL (1) 2024: 14625-14637 - [c106]Tian Bian, Yifan Niu, Heng Chang, Divin Yan, Junzhou Huang, Yu Rong, Tingyang Xu, Jia Li, Hong Cheng:
Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation. CIKM 2024: 130-140 - [c105]Zhiyao Shu, Xiangguo Sun, Hong Cheng:
When LLM Meets Hypergraph: A Sociological Analysis on Personality via Online Social Networks. CIKM 2024: 2087-2096 - [c104]Jie Tan, Yu Rong, Kangfei Zhao, Tian Bian, Tingyang Xu, Junzhou Huang, Hong Cheng, Helen Meng:
Natural Language-Assisted Multi-modal Medication Recommendation. CIKM 2024: 2200-2209 - [c103]Xiaoyan Zhao, Lingzhi Wang, Zhanghao Wang, Hong Cheng, Rui Zhang, Kam-Fai Wong:
PACAR: Automated Fact-Checking with Planning and Customized Action Reasoning Using Large Language Models. LREC/COLING 2024: 12564-12573 - [c102]Zijin Feng, Luyang Lin, Lingzhi Wang, Hong Cheng, Kam-Fai Wong:
LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement. EMNLP 2024: 18455-18462 - [c101]Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li:
Protein Multimer Structure Prediction via Prompt Learning. ICLR 2024 - [c100]Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu:
A Survey of Graph Meets Large Language Model: Progress and Future Directions. IJCAI 2024: 8123-8131 - [c99]Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan:
All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract). IJCAI 2024: 8460-8465 - [c98]Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li:
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining. KDD 2024: 4443-4454 - [c97]Jia Li, Xiangguo Sun, Yuhan Li, Zhixun Li, Hong Cheng, Jeffrey Xu Yu:
Graph Intelligence with Large Language Models and Prompt Learning. KDD 2024: 6545-6554 - [i40]Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li:
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining. CoRR abs/2402.09834 (2024) - [i39]Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li:
Protein Multimer Structure Prediction via Prompt Learning. CoRR abs/2402.18813 (2024) - [i38]Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan:
All in One: Multi-Task Prompting for Graph Neural Networks (Extended Abstract). CoRR abs/2403.07040 (2024) - [i37]Chenyi Zi, Haihong Zhao, Xiangguo Sun, Yiqing Lin, Hong Cheng, Jia Li:
ProG: A Graph Prompt Learning Benchmark. CoRR abs/2406.05346 (2024) - [i36]Zhiyao Shu, Xiangguo Sun, Hong Cheng:
When LLM Meets Hypergraph: A Sociological Analysis on Personality via Online Social Networks. CoRR abs/2407.03568 (2024) - [i35]Qunzhong Wang, Xiangguo Sun, Hong Cheng:
Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis. CoRR abs/2410.01635 (2024) - [i34]Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yu Rong, Chengzhi Piao, Hong Cheng, Lingling Yi:
Adaptive Coordinators and Prompts on Heterogeneous Graphs for Cross-Domain Recommendations. CoRR abs/2410.11719 (2024) - 2023
- [j62]Yuli Jiang, Huaijia Lin, Ye Li, Yu Rong, Hong Cheng, Xin Huang:
Exploiting node-feature bipartite graph in graph convolutional networks. Inf. Sci. 628: 409-423 (2023) - [j61]Yingfan Liu, Chaowei Song, Hong Cheng, Xiaofang Xia, Jiangtao Cui:
Accelerating massive queries of approximate nearest neighbor search on high-dimensional data. Knowl. Inf. Syst. 65(10): 4185-4212 (2023) - [j60]Zijin Feng, Miao Qiao, Hong Cheng:
Modularity-based Hypergraph Clustering: Random Hypergraph Model, Hyperedge-cluster Relation, and Computation. Proc. ACM Manag. Data 1(3): 215:1-215:25 (2023) - [j59]Chengzhi Piao, Tingyang Xu, Xiangguo Sun, Yu Rong, Kangfei Zhao, Hong Cheng:
Computing Graph Edit Distance via Neural Graph Matching. Proc. VLDB Endow. 16(8): 1817-1829 (2023) - [j58]Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Muhammad Aamir Cheema, Hong Cheng, Jianliang Xu:
Towards Indoor Temporal-Variation Aware Shortest Path Query. IEEE Trans. Knowl. Data Eng. 35(1): 998-1012 (2023) - [j57]Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin:
Self-Supervised Hypergraph Representation Learning for Sociological Analysis. IEEE Trans. Knowl. Data Eng. 35(11): 11860-11871 (2023) - [c96]Jie Tan, Hengyi Cai, Hongshen Chen, Hong Cheng, Helen Meng, Zhuoye Ding:
Contrastive Learning with Dialogue Attributes for Neural Dialogue Generation. ICASSP 2023: 1-5 - [c95]Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy C. Y. Kwok, Helen Meng, Hong Cheng:
Decision Support System for Chronic Diseases Based on Drug-Drug Interactions. ICDE 2023: 3467-3480 - [c94]Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan:
All in One: Multi-Task Prompting for Graph Neural Networks. KDD 2023: 2120-2131 - [c93]Chun Hei Lo, Hong Cheng, Wai Lam, Guy Emerson:
Functional Distributional Semantics at Scale. *SEM@ACL 2023: 423-436 - [i33]Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy C. Y. Kwok, Helen Meng, Hong Cheng:
Decision Support System for Chronic Diseases Based on Drug-Drug Interactions. CoRR abs/2303.02405 (2023) - [i32]Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu:
A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers. CoRR abs/2306.02051 (2023) - [i31]Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan:
All in One: Multi-task Prompting for Graph Neural Networks. CoRR abs/2307.01504 (2023) - [i30]Rui Zhang, Yixin Su, Bayu Distiawan Trisedya, Xiaoyan Zhao, Min Yang, Hong Cheng, Jianzhong Qi:
AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models. CoRR abs/2307.11772 (2023) - [i29]Qichao Wang, Tian Bian, Yian Yin, Tingyang Xu, Hong Cheng, Helen M. Meng, Zibin Zheng, Liang Chen, Bingzhe Wu:
Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at Scale. CoRR abs/2310.11778 (2023) - [i28]Wen Deng, Weiguo Zheng, Hong Cheng:
Accelerating Maximal Clique Enumeration via Graph Reduction. CoRR abs/2311.00279 (2023) - [i27]Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin:
Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System. CoRR abs/2311.05144 (2023) - [i26]Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu:
A Survey of Graph Meets Large Language Model: Progress and Future Directions. CoRR abs/2311.12399 (2023) - [i25]Xiangguo Sun, Jiawen Zhang, Xixi Wu, Hong Cheng, Yun Xiong, Jia Li:
Graph Prompt Learning: A Comprehensive Survey and Beyond. CoRR abs/2311.16534 (2023) - 2022
- [j56]Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang:
Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed. Proc. VLDB Endow. 15(6): 1243-1255 (2022) - [c92]Hongyuan Lu, Wai Lam, Hong Cheng, Helen Meng:
On Controlling Fallback Responses for Grounded Dialogue Generation. ACL (Findings) 2022: 2591-2601 - [c91]Chun Hei Lo, Wai Lam, Hong Cheng:
Semantic Composition with PSHRG for Derivation Tree Reconstruction from Graph-Based Meaning Representations. ACL (1) 2022: 5425-5439 - [c90]Zijin Feng, Miao Qiao, Hong Cheng:
Clustering Activation Networks. ICDE 2022: 780-792 - [c89]Hongyuan Lu, Wai Lam, Hong Cheng, Helen Meng:
Partner Personas Generation for Dialogue Response Generation. NAACL-HLT 2022: 5200-5212 - [c88]Yang Deng, Wenxuan Zhang, Wai Lam, Hong Cheng, Helen Meng:
User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems. WWW 2022: 2998-3008 - [i24]Yang Deng, Wenxuan Zhang, Wai Lam, Hong Cheng, Helen Meng:
User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems. CoRR abs/2202.02912 (2022) - [i23]Rui Zhang, Xiaoyan Zhao, Bayu Distiawan Trisedya, Min Yang, Hong Cheng, Jianzhong Qi:
TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs. CoRR abs/2210.08540 (2022) - [i22]Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin:
Self-supervised Hypergraph Representation Learning for Sociological Analysis. CoRR abs/2212.11440 (2022) - 2021
- [j55]Yuli Jiang, Xin Huang, Hong Cheng:
I/O efficient k-truss community search in massive graphs. VLDB J. 30(5): 713-738 (2021) - [c87]Hao Zhang, Miao Qiao, Jeffrey Xu Yu, Hong Cheng:
Fast Distributed Complex Join Processing. ICDE 2021: 2087-2092 - [c86]Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng:
Deconvolutional Networks on Graph Data. NeurIPS 2021: 21019-21030 - [c85]Can Lu, Jeffrey Xu Yu, Zhiwei Zhang, Hong Cheng:
Graph Iso/Auto-morphism: A Divide-&-Conquer Approach. SIGMOD Conference 2021: 1195-1207 - [c84]Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng:
Mask-GVAE: Blind Denoising Graphs via Partition. WWW 2021: 3688-3698 - [e3]Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12712, Springer 2021, ISBN 978-3-030-75761-8 [contents] - [e2]Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12713, Springer 2021, ISBN 978-3-030-75764-9 [contents] - [e1]Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12714, Springer 2021, ISBN 978-3-030-75767-0 [contents] - [i21]Mudit Chaudhary, Borislav Dzodzo, Sida Huang, Chun Hei Lo, Mingzhi Lyu, Lun Yiu Nie, Jinbo Xing, Tianhua Zhang, Xiaoying Zhang, Jingyan Zhou, Hong Cheng, Wai Lam, Helen Meng:
Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response Generation. CoRR abs/2101.06066 (2021) - [i20]Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng:
Mask-GVAE: Blind Denoising Graphs via Partition. CoRR abs/2102.04228 (2021) - [i19]Hao Zhang, Miao Qiao, Jeffrey Xu Yu, Hong Cheng:
Fast Distributed Complex Join Processing. CoRR abs/2102.13370 (2021) - [i18]Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang:
QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search. CoRR abs/2104.03583 (2021) - [i17]Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng:
Deconvolutional Networks on Graph Data. CoRR abs/2110.15528 (2021) - [i16]Hongyuan Lu, Wai Lam, Hong Cheng, Helen M. Meng:
Partner Personas Generation for Diverse Dialogue Generation. CoRR abs/2111.13833 (2021) - [i15]Yingfan Liu, Hong Cheng, Jiangtao Cui:
Revisiting k-Nearest Neighbor Graph Construction on High-Dimensional Data : Experiments and Analyses. CoRR abs/2112.02234 (2021) - 2020
- [j54]Chengzhi Piao, Weiguo Zheng, Yu Rong, Hong Cheng:
Maximizing the Reduction Ability for Near-maximum Independent Set Computation. Proc. VLDB Endow. 13(11): 2466-2478 (2020) - [j53]Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, Kangfei Zhao, Hong Cheng:
Distributed Subgraph Counting: A General Approach. Proc. VLDB Endow. 13(11): 2493-2507 (2020) - [j52]Yuanyuan Zhu, Lu Qin, Jeffrey Xu Yu, Hong Cheng:
Answering Top-$k$ k Graph Similarity Queries in Graph Databases. IEEE Trans. Knowl. Data Eng. 32(8): 1459-1474 (2020) - [c83]Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Muhammad Aamir Cheema, Hong Cheng, Jianliang Xu:
Shortest Path Queries for Indoor Venues with Temporal Variations. ICDE 2020: 2014-2017 - [c82]Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma:
Deep Graph Learning: Foundations, Advances and Applications. KDD 2020: 3555-3556 - [c81]Jia Li, Jianwei Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang:
Dirichlet Graph Variational Autoencoder. NeurIPS 2020 - [c80]Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang:
Adversarial Attack on Community Detection by Hiding Individuals. WWW 2020: 917-927 - [i14]Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang:
Adversarial Attack on Community Detection by Hiding Individuals. CoRR abs/2001.07933 (2020) - [i13]Wei Shi, Siyuan Zhang, Zhiwei Zhang, Hong Cheng, Jeffrey Xu Yu:
Joint Embedding in Named Entity Linking on Sentence Level. CoRR abs/2002.04936 (2020) - [i12]Jia Li, Tomas Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang:
Dirichlet Graph Variational Autoencoder. CoRR abs/2010.04408 (2020) - [i11]Jia Li, Tomas Yu, Da-Cheng Juan, Arjun Gopalan, Hong Cheng, Andrew Tomkins:
Graph Autoencoders with Deconvolutional Networks. CoRR abs/2012.11898 (2020)
2010 – 2019
- 2019
- [j51]Weiguo Zheng, Hong Cheng, Jeffrey Xu Yu, Lei Zou, Kangfei Zhao:
Interactive natural language question answering over knowledge graphs. Inf. Sci. 481: 141-159 (2019) - [c79]Weiguo Zheng, Chengzhi Piao, Hong Cheng, Jeffrey Xu Yu:
Computing a Near-Maximum Independent Set in Dynamic Graphs. ICDE 2019: 76-87 - [c78]Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan:
Predicting Path Failure In Time-Evolving Graphs. KDD 2019: 1279-1289 - [c77]Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang:
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. WWW 2019: 972-982 - [i10]Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang:
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. CoRR abs/1904.05003 (2019) - [i9]Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan:
Predicting Path Failure In Time-Evolving Graphs. CoRR abs/1905.03994 (2019) - [i8]Can Lu, Jeffrey Xu Yu, Zhiwei Zhang, Hong Cheng:
Graph Iso/Auto-morphism: A Divide-&-Conquer Approach. CoRR abs/1911.06511 (2019) - 2018
- [j50]Yingfan Liu, Hao Wei, Hong Cheng:
Exploiting lower bounds to accelerate approximate nearest neighbor search on high-dimensional data. Inf. Sci. 465: 484-504 (2018) - [j49]Weiguo Zheng, Jeffrey Xu Yu, Lei Zou, Hong Cheng:
Question Answering Over Knowledge Graphs: Question Understanding Via Template Decomposition. Proc. VLDB Endow. 11(11): 1373-1386 (2018) - [c76]Siyuan Zhang, Hong Cheng:
Exploiting Context Graph Attention for POI Recommendation in Location-Based Social Networks. DASFAA (1) 2018: 83-99 - [c75]Siyuan Zhang, Yu Rong, Yu Zheng, Hong Cheng, Junzhou Huang:
Exploiting Ranking Consistency Principle in Representation Learning for Location Promotion. DASFAA (2) 2018: 457-473 - [c74]Weiguo Zheng, Qichen Wang, Jeffrey Xu Yu, Hong Cheng, Lei Zou:
Efficient Computation of a Near-Maximum Independent Set over Evolving Graphs. ICDE 2018: 869-880 - [c73]Yuli Jiang, Xin Huang, Hong Cheng, Jeffrey Xu Yu:
VizCS: Online Searching and Visualizing Communities in Dynamic Graphs. ICDE 2018: 1585-1588 - [c72]Jia Li, Yu Rong, Helen Meng, Zhihui Lu, Timothy C. Y. Kwok, Hong Cheng:
TATC: Predicting Alzheimer's Disease with Actigraphy Data. KDD 2018: 509-518 - [r5]Hong Cheng, Jiawei Han:
Frequent Itemsets and Association Rules. Encyclopedia of Database Systems (2nd ed.) 2018 - [r4]Hong Cheng, Jiawei Han:
Pattern-Growth Methods. Encyclopedia of Database Systems (2nd ed.) 2018 - [r3]Hong Cheng, Jeffrey Xu Yu:
Graph Mining. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j48]Ji-Bing Gong, Xiaoxia Gao, Hong Cheng, Jihui Liu, Yanqing Song, Mantang Zhang, Yi Zhao:
Integrating a weighted-average method into the random walk framework to generate individual friend recommendations. Sci. China Inf. Sci. 60(11): 110104:1-110104:22 (2017) - [j47]Wei Shi, Weiguo Zheng, Jeffrey Xu Yu, Hong Cheng, Lei Zou:
Keyphrase Extraction Using Knowledge Graphs. Data Sci. Eng. 2(4): 275-288 (2017) - [j46]Yuanyuan Zhu, Hao Zhang, Lu Qin, Hong Cheng:
Efficient MapReduce algorithms for triangle listing in billion-scale graphs. Distributed Parallel Databases 35(2): 149-176 (2017) - [j45]Miao Qiao, Hao Zhang, Hong Cheng:
Subgraph Matching: on Compression and Computation. Proc. VLDB Endow. 11(2): 176-188 (2017) - [j44]Yihan Wang, Shaoxu Song, Lei Chen, Jeffrey Xu Yu, Hong Cheng:
Discovering Conditional Matching Rules. ACM Trans. Knowl. Discov. Data 11(4): 46:1-46:38 (2017) - [j43]Qiankun Zhu, Hong Cheng, Xin Huang:
I/O-efficient algorithms for top-k nearest keyword search in massive graphs. VLDB J. 26(4): 563-583 (2017) - [j42]Shaoxu Song, Boge Liu, Hong Cheng, Jeffrey Xu Yu, Lei Chen:
Graph repairing under neighborhood constraints. VLDB J. 26(5): 611-635 (2017) - [c71]Wei Shi, Weiguo Zheng, Jeffrey Xu Yu, Hong Cheng, Lei Zou:
Keyphrase Extraction Using Knowledge Graphs. APWeb/WAIM (1) 2017: 132-148 - [c70]Weiguo Zheng, Hong Cheng, Lei Zou, Jeffrey Xu Yu, Kangfei Zhao:
Natural Language Question/Answering: Let Users Talk With The Knowledge Graph. CIKM 2017: 217-226 - [c69]Yingfan Liu, Hong Cheng, Jiangtao Cui:
PQBF: I/O-Efficient Approximate Nearest Neighbor Search by Product Quantization. CIKM 2017: 667-676 - [c68]Yu Rong, Hong Cheng:
Minimizing Dependence between Graphs. CIKM 2017: 1827-1836 - [c67]Hao Zhang, Yuanyuan Zhu, Lu Qin, Hong Cheng, Jeffrey Xu Yu:
Efficient Local Clustering Coefficient Estimation in Massive Graphs. DASFAA (2) 2017: 371-386 - [c66]Lujia Pan, Jianfeng Zhang, Patrick P. C. Lee, Hong Cheng, Cheng He, Caifeng He, Keli Zhang:
An Intelligent Customer Care Assistant System for Large-Scale Cellular Network Diagnosis. KDD 2017: 1951-1959 - [c65]Yuanyuan Liu, Fanhua Shang, James Cheng, Hong Cheng, Licheng Jiao:
Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds. NIPS 2017: 4868-4877 - [c64]Hongxia Du, Heli Sun, Jianbin Huang, Zhongbin Sun, Liang He, Hong Cheng:
Mining Cohesive Clusters with Interpretations in Labeled Graphs. PAKDD (2) 2017: 774-785 - 2016
- [j41]Xin Huang, Hong Cheng, Jeffrey Xu Yu:
Attributed Community Analysis: Global and Ego-centric Views. IEEE Data Eng. Bull. 39(3): 29-40 (2016) - [j40]Siyuan Zhang, Lu Qin, Yu Zheng, Hong Cheng:
Effective and Efficient: Large-Scale Dynamic City Express. IEEE Trans. Knowl. Data Eng. 28(12): 3203-3217 (2016) - [j39]Yuanyuan Liu, Fanhua Shang, Wei Fan, James Cheng, Hong Cheng:
Generalized Higher Order Orthogonal Iteration for Tensor Learning and Decomposition. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2551-2563 (2016) - [c63]Hao Zhang, Yuanyuan Zhu, Lu Qin, Hong Cheng, Jeffrey Xu Yu:
Efficient triangle listing for billion-scale graphs. IEEE BigData 2016: 813-822 - [c62]Tianyi Lin, Siyuan Zhang, Hong Cheng:
Understanding Sparse Topical Structure of Short Text via Stochastic Variational-Gibbs Inference. CIKM 2016: 407-416 - [c61]Yu Rong, Qiankun Zhu, Hong Cheng:
A Model-Free Approach to Infer the Diffusion Network from Event Cascade. CIKM 2016: 1653-1662 - [c60]Zhixu Li, Lu Qin, Hong Cheng, Xiangliang Zhang, Xiaofang Zhou:
TRIP: An interactive retrieving-inferring data imputation approach. ICDE 2016: 1462-1463 - [c59]Zechao Shang, Feifei Li, Jeffrey Xu Yu, Zhiwei Zhang, Hong Cheng:
Graph Analytics Through Fine-Grained Parallelism. SIGMOD Conference 2016: 463-478 - [c58]Ji-Bing Gong, Xiaoxia Gao, Yanqing Song, Hong Cheng, Jingjing Xu:
Individual Friends Recommendation Based on Random Walk with Restart in Social Networks. SMP 2016: 123-133 - 2015
- [j38]Fanhua Shang, Yuanyuan Liu, Hanghang Tong, James Cheng, Hong Cheng:
Robust bilinear factorization with missing and grossly corrupted observations. Inf. Sci. 307: 53-72 (2015) - [j37]Xin Huang, Hong Cheng, Jeffrey Xu Yu:
Dense community detection in multi-valued attributed networks. Inf. Sci. 314: 77-99 (2015) - [j36]Ji-Bing Gong, Hong Cheng, Li-Li Wang:
Individual Doctor Recommendation in Large Networks by Constrained Optimization. Int. J. Web Serv. Res. 12(4): 16-28 (2015) - [j35]Xiaofei Zhang, Hong Cheng, Lei Chen:
Bonding Vertex Sets Over Distributed Graph: A Betweenness Aware Approach. Proc. VLDB Endow. 8(12): 1418-1429 (2015) - [j34]Xin Huang, Laks V. S. Lakshmanan, Jeffrey Xu Yu, Hong Cheng:
Approximate Closest Community Search in Networks. Proc. VLDB Endow. 9(4): 276-287 (2015) - [j33]Yuanyuan Liu, Fanhua Shang, Licheng Jiao, James Cheng, Hong Cheng:
Trace Norm Regularized CANDECOMP/PARAFAC Decomposition With Missing Data. IEEE Trans. Cybern. 45(11): 2437-2448 (2015) - [j32]Jianbin Huang, Xuejun Huangfu, Heli Sun, Hui Li, Peixiang Zhao, Hong Cheng, Qinbao Song:
Backward Path Growth for Efficient Mobile Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 27(1): 46-60 (2015) - [j31]Zhixu Li, Lu Qin, Hong Cheng, Xiangliang Zhang, Xiaofang Zhou:
TRIP: An Interactive Retrieving-Inferring Data Imputation Approach. IEEE Trans. Knowl. Data Eng. 27(9): 2550-2563 (2015) - [j30]Xin Huang, Hong Cheng, Rong-Hua Li, Lu Qin, Jeffrey Xu Yu:
Top-K structural diversity search in large networks. VLDB J. 24(3): 319-343 (2015) - [c57]Siyuan Zhang, Lu Qin, Yu Zheng, Hong Cheng:
Effective and efficient: large-scale dynamic city express. SIGSPATIAL/GIS 2015: 48:1-48:4 - [c56]Xiao Wen, Linbo Qiao, Shiqian Ma, Wei Liu, Hong Cheng:
Sparse Subspace Clustering for Incomplete Images. ICCV Workshops 2015: 859-867 - [c55]Yu Rong, Hong Cheng, Zhiyu Mo:
Why It Happened: Identifying and Modeling the Reasons of the Happening of Social Events. KDD 2015: 1015-1024 - [i7]Xin Huang, Laks V. S. Lakshmanan, Jeffrey Xu Yu, Hong Cheng:
Approximate Closest Community Search in Networks. CoRR abs/1505.05956 (2015) - [i6]Fanhua Shang, Yuanyuan Liu, James Cheng, Hong Cheng:
Regularized Orthogonal Tensor Decompositions for Multi-Relational Learning. CoRR abs/1512.08120 (2015) - 2014
- [j29]Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng, Zechao Shang:
Measuring the impact of MVC attack in large complex networks. Inf. Sci. 278: 685-702 (2014) - [j28]Shaoxu Song, Hong Cheng, Jeffrey Xu Yu, Lei Chen:
Repairing Vertex Labels under Neighborhood Constraints. Proc. VLDB Endow. 7(11): 987-998 (2014) - [j27]Shaoxu Song, Lei Chen, Hong Cheng:
On Concise Set of Relative Candidate Keys. Proc. VLDB Endow. 7(12): 1179-1190 (2014) - [j26]Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, James Cheng:
GBAGC: A General Bayesian Framework for Attributed Graph Clustering. ACM Trans. Knowl. Discov. Data 9(1): 5:1-5:43 (2014) - [j25]Miao Qiao, Hong Cheng, Lijun Chang, Jeffrey Xu Yu:
Approximate Shortest Distance Computing: A Query-Dependent Local Landmark Scheme. IEEE Trans. Knowl. Data Eng. 26(1): 55-68 (2014) - [j24]Shaoxu Song, Lei Chen, Hong Cheng:
Efficient Determination of Distance Thresholds for Differential Dependencies. IEEE Trans. Knowl. Data Eng. 26(9): 2179-2192 (2014) - [j23]James Cheng, Zechao Shang, Hong Cheng, Haixun Wang, Jeffrey Xu Yu:
Efficient processing of k-hop reachability queries. VLDB J. 23(2): 227-252 (2014) - [c54]Yinqing Xu, Tianyi Lin, Wai Lam, Zirui Zhou, Hong Cheng, Anthony Man-Cho So:
Latent Aspect Mining via Exploring Sparsity and Intrinsic Information. CIKM 2014: 879-888 - [c53]Fanhua Shang, Yuanyuan Liu, James Cheng, Hong Cheng:
Robust Principal Component Analysis with Missing Data. CIKM 2014: 1149-1158 - [c52]Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng:
Random-walk domination in large graphs. ICDE 2014: 736-747 - [c51]Fanhua Shang, Yuanyuan Liu, James Cheng, Hong Cheng:
Recovering Low-Rank and Sparse Matrices via Robust Bilateral Factorization. ICDM 2014: 965-970 - [c50]Yuanyuan Liu, Fanhua Shang, Wei Fan, James Cheng, Hong Cheng:
Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion. NIPS 2014: 1763-1771 - [c49]Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng, Hanghang Tong:
Factor Matrix Trace Norm Minimization for Low-Rank Tensor Completion. SDM 2014: 866-874 - [c48]Lu Qin, Jeffrey Xu Yu, Lijun Chang, Hong Cheng, Chengqi Zhang, Xuemin Lin:
Scalable big graph processing in MapReduce. SIGMOD Conference 2014: 827-838 - [c47]Xin Huang, Hong Cheng, Lu Qin, Wentao Tian, Jeffrey Xu Yu:
Querying k-truss community in large and dynamic graphs. SIGMOD Conference 2014: 1311-1322 - [c46]Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng:
Nuclear Norm Regularized Least Squares Optimization on Grassmannian Manifolds. UAI 2014: 515-524 - [c45]Yu Rong, Xiao Wen, Hong Cheng:
A Monte Carlo algorithm for cold start recommendation. WWW 2014: 327-336 - [c44]Tianyi Lin, Wentao Tian, Qiaozhu Mei, Hong Cheng:
The dual-sparse topic model: mining focused topics and focused terms in short text. WWW 2014: 539-550 - [p5]Hong Cheng, Xifeng Yan, Jiawei Han:
Mining Graph Patterns. Frequent Pattern Mining 2014: 307-338 - [i5]Fanhua Shang, Yuanyuan Liu, Hanghang Tong, James Cheng, Hong Cheng:
Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations. CoRR abs/1409.1062 (2014) - 2013
- [j22]Miao Qiao, Lu Qin, Hong Cheng, Jeffrey Xu Yu, Wentao Tian:
Top-K Nearest Keyword Search on Large Graphs. Proc. VLDB Endow. 6(10): 901-912 (2013) - [j21]Xin Huang, Hong Cheng, Rong-Hua Li, Lu Qin, Jeffrey Xu Yu:
Top-K Structural Diversity Search in Large Networks. Proc. VLDB Endow. 6(13): 1618-1629 (2013) - [j20]Xiaofeng Zhu, Zi Huang, Hong Cheng, Jiangtao Cui, Heng Tao Shen:
Sparse hashing for fast multimedia search. ACM Trans. Inf. Syst. 31(2): 9 (2013) - [j19]Miao Qiao, Hong Cheng, Lu Qin, Jeffrey Xu Yu, Philip S. Yu, Lijun Chang:
Computing weight constraint reachability in large networks. VLDB J. 22(3): 275-294 (2013) - [c43]Didi Surian, Yuan Tian, David Lo, Hong Cheng, Ee-Peng Lim:
Predicting Project Outcome Leveraging Socio-Technical Network Patterns. CSMR 2013: 47-56 - [c42]Jiajun Liu, Zi Huang, Hong Cheng, Yueguo Chen, Heng Tao Shen, Yanchun Zhang:
Presenting diverse location views with real-time near-duplicate photo elimination. ICDE 2013: 505-516 - [c41]Hong Cheng, Jihang Ye, Zhe Zhu:
What's Your Next Move: User Activity Prediction in Location-based Social Networks. SDM 2013: 171-179 - [c40]Zheng Liu, Ruoming Jin, Hong Cheng, Jeffrey Xu Yu:
Frequent Subgraph Summarization with Error Control. WAIM 2013: 1-12 - [c39]Jihang Ye, Hong Cheng, Zhe Zhu, Minghua Chen:
Predicting positive and negative links in signed social networks by transfer learning. WWW 2013: 1477-1488 - [p4]Hong Cheng, Jiawei Han, Xifeng Yan, Philip S. Yu:
Efficient Direct Mining of Selective Discriminative Patterns for Classification. Contrast Data Mining 2013: 39-58 - [i4]Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng:
Random-walk domination in large graphs: problem definitions and fast solutions. CoRR abs/1302.4546 (2013) - [i3]Jianbin Huang, Xuejun Huangfu, Heli Sun, Hong Cheng, Qinbao Song:
Backward Path Growth for Efficient Mobile Sequential Recommendation. CoRR abs/1304.2144 (2013) - 2012
- [j18]Hong Cheng, Yang Zhou, Xin Huang, Jeffrey Xu Yu:
Clustering large attributed information networks: an efficient incremental computing approach. Data Min. Knowl. Discov. 25(3): 450-477 (2012) - [j17]Wei Zheng, Hui Fang, Hong Cheng, Xuanhui Wang:
Diversifying Search Results through Pattern-Based Subtopic Modeling. Int. J. Semantic Web Inf. Syst. 8(4): 37-56 (2012) - [j16]Zheng Liu, Jeffrey Xu Yu, Hong Cheng:
Approximate Homogeneous Graph Summarization. Inf. Media Technol. 7(1): 32-43 (2012) - [j15]Hong Cheng, Jeffrey Xu Yu:
Clustering Large Attributed Graph. Inf. Media Technol. 7(4): 1442-1449 (2012) - [j14]Wei Zheng, Xuanhui Wang, Hui Fang, Hong Cheng:
Coverage-based search result diversification. Inf. Retr. 15(5): 433-457 (2012) - [j13]Zheng Liu, Jeffrey Xu Yu, Hong Cheng:
Approximate Homogeneous Graph Summarization. J. Inf. Process. 20(1): 77-88 (2012) - [j12]Hong Cheng, Jeffrey Xu Yu:
Clustering Large Attributed Graph. J. Inf. Process. 20(4): 806-813 (2012) - [j11]James Cheng, Zechao Shang, Hong Cheng, Haixun Wang, Jeffrey Xu Yu:
K-Reach: Who is in Your Small World. Proc. VLDB Endow. 5(11): 1292-1303 (2012) - [j10]Lijun Chang, Jeffrey Xu Yu, Lu Qin, Hong Cheng, Miao Qiao:
The exact distance to destination in undirected world. VLDB J. 21(6): 869-888 (2012) - [c38]Yuanyuan Zhu, Jeffrey Xu Yu, Hong Cheng, Lu Qin:
Graph classification: a diversified discriminative feature selection approach. CIKM 2012: 205-214 - [c37]Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng, Zechao Shang:
Measuring robustness of complex networks under MVC attack. CIKM 2012: 1512-1516 - [c36]Xin Huang, Hong Cheng, Jiong Yang, Jeffrey Xu Yu, Hongliang Fei, Jun Huan:
Semi-supervised Clustering of Graph Objects: A Subgraph Mining Approach. DASFAA (1) 2012: 197-212 - [c35]Yuanyuan Zhu, Lu Qin, Jeffrey Xu Yu, Hong Cheng:
Finding top-k similar graphs in graph databases. EDBT 2012: 456-467 - [c34]Miao Qiao, Hong Cheng, Lijun Chang, Jeffrey Xu Yu:
Approximate Shortest Distance Computing: A Query-Dependent Local Landmark Scheme. ICDE 2012: 462-473 - [c33]Shaoxu Song, Lei Chen, Hong Cheng:
Parameter-Free Determination of Distance Thresholds for Metric Distance Constraints. ICDE 2012: 846-857 - [c32]Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng:
Robust Reputation-Based Ranking on Bipartite Rating Networks. SDM 2012: 612-623 - [c31]Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, James Cheng:
A model-based approach to attributed graph clustering. SIGMOD Conference 2012: 505-516 - [c30]Wing-Kwan Chan, Hong Cheng, David Lo:
Searching connected API subgraph via text phrases. SIGSOFT FSE 2012: 10 - [c29]Wenting Song, Jeffrey Xu Yu, Hong Cheng, Hongyan Liu, Jun He, Xiaoyong Du:
Bayesian Network Structure Learning from Attribute Uncertain Data. WAIM 2012: 314-321 - [i2]Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng:
A Framework of Algorithms: Computing the Bias and Prestige of Nodes in Trust Networks. CoRR abs/1207.5661 (2012) - [i1]James Cheng, Zechao Shang, Hong Cheng, Haixun Wang, Jeffrey Xu Yu:
K-Reach: Who is in Your Small World. CoRR abs/1208.0090 (2012) - 2011
- [j9]Hong Cheng, Yang Zhou, Jeffrey Xu Yu:
Clustering Large Attributed Graphs: A Balance between Structural and Attribute Similarities. ACM Trans. Knowl. Discov. Data 5(2): 12:1-12:33 (2011) - [j8]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) - [c28]David Lo, Hong Cheng, Lucia:
Mining closed discriminative dyadic sequential patterns. EDBT 2011: 21-32 - [c27]David Lo, Hong Cheng, Xiaoyin Wang:
Bug Signature Minimization and Fusion. HASE 2011: 340-347 - [c26]Xuezhi Wang, Jie Tang, Hong Cheng, Philip S. Yu:
ADANA: Active Name Disambiguation. ICDM 2011: 794-803 - [c25]Wei Zheng, Xuanhui Wang, Hui Fang, Hong Cheng:
An exploration of pattern-based subtopic modeling for search result diversification. JCDL 2011: 387-388 - [c24]Miao Qiao, Hong Cheng, Jeffrey Xu Yu:
Querying Shortest Path Distance with Bounded Errors in Large Graphs. SSDBM 2011: 255-273 - 2010
- [j7]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) - [j6]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) - [j5]Zi Huang, Bo Hu, Hong Cheng, Heng Tao Shen, Hongyan Liu, Xiaofang Zhou:
Mining near-duplicate graph for cluster-based reranking of web video search results. ACM Trans. Inf. Syst. 28(4): 22:1-22:27 (2010) - [c23]Qi Pan, Hong Cheng, Di Wu, Jeffrey Xu Yu, Yiping Ke:
Stock risk mining by news. ADC 2010: 179-188 - [c22]Yang Zhou, Hong Cheng, Jeffrey Xu Yu:
Clustering Large Attributed Graphs: An Efficient Incremental Approach. ICDM 2010: 689-698 - [c21]Wenzhi Zhou, Hongyan Liu, Hong Cheng:
Mining Closed Episodes from Event Sequences Efficiently. PAKDD (1) 2010: 310-318 - [p3]Hong Cheng, Xifeng Yan, Jiawei Han:
Discriminative Frequent Pattern-Based Graph Classification. Link Mining 2010: 237-262 - [p2]Hong Cheng, Xifeng Yan, Jiawei Han:
Mining Graph Patterns. Managing and Mining Graph Data 2010: 365-392
2000 – 2009
- 2009
- [j4]Yang Zhou, Hong Cheng, Jeffrey Xu Yu:
Graph Clustering Based on Structural/Attribute Similarities. Proc. VLDB Endow. 2(1): 718-729 (2009) - [c20]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 - [c19]Hong Cheng, David Lo, Yang Zhou, Xiaoyin Wang, Xifeng Yan:
Identifying bug signatures using discriminative graph mining. ISSTA 2009: 141-152 - [c18]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 - [c17]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 - [r2]Hong Cheng, Jiawei Han:
Frequent Itemsets and Association Rules. Encyclopedia of Database Systems 2009: 1184-1187 - [r1]Hong Cheng, Jiawei Han:
Pattern-Growth Methods. Encyclopedia of Database Systems 2009: 2051-2054 - 2008
- [b1]Hong Cheng:
Towards Accurate and Efficient Classification: A Discriminative and Frequent Pattern-Based Approach. University of Illinois Urbana-Champaign, USA, 2008 - [c16]Hong Cheng, Xifeng Yan, Jiawei Han, Philip S. Yu:
Direct Discriminative Pattern Mining for Effective Classification. ICDE 2008: 169-178 - [c15]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 - [c14]Jiangtao Ren, Zhengyuan Qiu, Wei Fan, Hong Cheng, Philip S. Yu:
Forward Semi-supervised Feature Selection. PAKDD 2008: 970-976 - [c13]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 - [c12]Xifeng Yan, Hong Cheng, Jiawei Han, Philip S. Yu:
Mining significant graph patterns by leap search. SIGMOD Conference 2008: 433-444 - [c11]Yizhou Sun, Tianyi Wu, Zhijun Yin, Hong Cheng, Jiawei Han, Xiaoxin Yin, Peixiang Zhao:
BibNetMiner: mining bibliographic information networks. SIGMOD Conference 2008: 1341-1344 - [p1]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 - 2007
- [j3]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) - [j2]Dong Xin, Jiawei Han, Xifeng Yan, Hong Cheng:
On compressing frequent patterns. Data Knowl. Eng. 60(1): 5-29 (2007) - [j1]Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, Chengxiang Zhai:
Semantic annotation of frequent patterns. ACM Trans. Knowl. Discov. Data 1(3): 11 (2007) - [c10]Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Hong Cheng:
Mining Colossal Frequent Patterns by Core Pattern Fusion. ICDE 2007: 706-715 - [c9]Hong Cheng, Xifeng Yan, Jiawei Han, Chih-Wei Hsu:
Discriminative Frequent Pattern Analysis for Effective Classification. ICDE 2007: 716-725 - 2006
- [c8]Hong Cheng, Philip S. Yu, Jiawei Han:
AC-Close: Efficiently Mining Approximate Closed Itemsets by Core Pattern Recovery. ICDM 2006: 839-844 - [c7]Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, ChengXiang Zhai:
Generating semantic annotations for frequent patterns with context analysis. KDD 2006: 337-346 - [c6]Dong Xin, Hong Cheng, Xifeng Yan, Jiawei Han:
Extracting redundancy-aware top-k patterns. KDD 2006: 444-453 - [c5]Dong Xin, Jiawei Han, Hong Cheng, Xiaolei Li:
Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach. VLDB 2006: 463-475 - 2005
- [c4]Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin:
Summarizing itemset patterns: a profile-based approach. KDD 2005: 314-323 - [c3]Hong Cheng, Xifeng Yan, Jiawei Han:
SeqIndex: Indexing Sequences by Sequential Pattern Analysis. SDM 2005: 601-605 - [c2]Dong Xin, Jiawei Han, Xifeng Yan, Hong Cheng:
Mining Compressed Frequent-Pattern Sets. VLDB 2005: 709-720 - 2004
- [c1]Hong Cheng, Xifeng Yan, Jiawei Han:
IncSpan: incremental mining of sequential patterns in large database. KDD 2004: 527-532
Coauthor Index
Helen M. Meng
aka: Helen Meng
aka: Helen Meng
[c100] [c97] [i26] [c87] [c85] [i19] [j53] [j52] [i13] [j51] [c79] [i8] [j49] [c74] [c73] [r3] [j47] [j44] [j42] [c71] [c70] [c67] [j41] [c63] [c59] [j37] [j34] [j30] [i7] [j29] [j28] [j25] [j23] [c52] [c48] [c47] [j22] [j21] [j19] [c40] [i4] [j18] [j16] [j15] [j13] [j12] [j11] [j10] [c38] [c37] [c36] [c35] [c34] [c32] [c29] [i2] [i1] [j9] [c24] [c23] [c22] [j4]
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