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ORCIDBing Liu 0001
Person information
- affiliation: University of Illinois at Chicago, Department of Computer Science, IL, USA
Other persons with the same name
- Bing Liu — disambiguation page
- Bing Liu 0002 — University of South Australia
- Bing Liu 0003 — Google (and 1 more)
- Bing Liu 0004 — Universität Mannheim, Germany
- Bing Liu 0005 — University of Science and Technology of China, Hefei, Anhui, China
- Bing Liu 0006 — Huawei Technologies, Beijing, China (and 1 more)
- Bing Liu 0007 — Concordia University, Montreal, Canada
- Bing Liu 0008
![[0000-0003-2029-5187]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-2029-5187")
— Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition - Bing Liu 0009 — Fudan University
- Bing Liu 0010 — Huazhong University of Science and Technology, Department of Mathematics, China
- Bing Liu 0011 — Anshan Normal University, Department of Mathematics
- Bing Liu 0012 — Qualcomm, San Diego, CA, USA (and 1 more)
- Bing Liu 0013 — University of Pittsburgh, Department of Computational & Systems Biology, USA (and 2 more)
- Bing Liu 0014 — Nanyang Technological University, School of Electrical and Electronic Engineering
- Bing Liu 0015 — University of Southern California
- Bing Liu 0016 — China University of Mining and Technology, Xuzhou, China
- Bing Liu 0017 — Georgia State University, Department of Mathematics and Statistics, Atlanta, GA, USA
- Bing Liu 0018 — PLA Information Engineering University, Department of Big Data Analysis, Zhengzhou, China (and 1 more)
- Bing Liu 0019 — Chongqing University, College of Computer Science, Chongqing, China (and 1 more)
- Bing Liu 0020 — Harbin Engineering University, Acoustic Science and Technology Laboratory, Harbin, China
- Bing Liu 0021 — University of Edinburgh, UK
- Bing Liu 0022 — Harbin Institute of Technology, School of Electronics and Information Engineering, Harbin, China
- Bing Liu 0023 — Beijing Normal University, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, China
- Bing Liu 0024 — Facebook AI, Menlo Park, CA, USA (and 1 more)
- Bing Liu 0025 — University of Queensland, Australia
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2020 – today
- 2025
[j53]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu:
Open-world continual learning: Unifying novelty detection and continual learning. Artif. Intell. 338: 104237 (2025)- [j52]Yanni Li, Bing Liu, Tihua Duan, Zhi Wang, Hui Li, Jiangtao Cui:
A Novel Key Point Based MLCS Algorithm for Big Sequences Mining. IEEE Trans. Knowl. Data Eng. 37(1): 15-28 (2025) - [c253]Jiabao Qiu, Zixuan Ke, Bing Liu:
Continual Learning Using Only Large Language Model Prompting. COLING 2025: 6014-6023 - [c252]Saleh Momeni, Sahisnu Mazumder, Zixuan Ke, Bing Liu:
In-context Continual Learning Assisted by an External Continual Learner. COLING 2025: 7292-7306 - 2024
- [j51]Congcong Jiang, Tieyun Qian, Bing Liu:
One General Teacher for Multi-Data Multi-Task: A New Knowledge Distillation Framework for Discourse Relation Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 32: 239-249 (2024) - [c251]Yue Zhou, Barbara Di Eugenio, Brian D. Ziebart, Lisa K. Sharp, Bing Liu, Nikolaos Agadakos:
Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation. LREC/COLING 2024: 11498-11509 - [c250]Gyuhak Kim, Ho-Hsiang Wu, Luca Bondi, Bing Liu:
Multi-Modal Continual Pre-Training For Audio Encoders. ICASSP 2024: 691-695 - [c249]Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo, Bing Liu:
Class Incremental Learning via Likelihood Ratio Based Task Prediction. ICLR 2024 - [c248]Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan, Lidong Bing:
Sentiment Analysis in the Era of Large Language Models: A Reality Check. NAACL-HLT (Findings) 2024: 3881-3906 - [c247]Zhaopeng Xu, Qi Qin, Bing Liu, Dongyan Zhao:
Disentangled Representations for Continual Learning: Overcoming Forgetting and Facilitating Knowledge Transfer. ECML/PKDD (4) 2024: 143-159 - [i82]Changnan Xiao, Bing Liu:
A Theory for Length Generalization in Learning to Reason. CoRR abs/2404.00560 (2024) - [i81]Yue Zhou, Barbara Di Eugenio, Brian D. Ziebart, Lisa K. Sharp, Bing Liu, Ben S. Gerber, Nikolaos Agadakos, Shweta Yadav:
Towards Enhancing Health Coaching Dialogue in Low-Resource Settings. CoRR abs/2404.08888 (2024) - [i80]Yue Zhou, Barbara Di Eugenio, Brian D. Ziebart, Lisa K. Sharp, Bing Liu, Nikolaos Agadakos:
Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation. CoRR abs/2404.10268 (2024) - [i79]Alexander Politowicz, Sahisnu Mazumder, Bing Liu:
Safety through Permissibility: Shield Construction for Fast and Safe Reinforcement Learning. CoRR abs/2405.19414 (2024) - [i78]Jiabao Qiu, Zixuan Ke, Bing Liu:
Continual Learning Using Only Large Language Model Prompting. CoRR abs/2412.15479 (2024) - [i77]Saleh Momeni, Sahisnu Mazumder, Zixuan Ke, Bing Liu:
In-context Continual Learning Assisted by an External Continual Learner. CoRR abs/2412.15563 (2024) - 2023
- [j50]Bing Liu, Sahisnu Mazumder, Eric Robertson, Scott Grigsby:
AI Autonomy: Self-initiated Open-world Continual Learning and Adaptation. AI Mag. 44(2): 185-199 (2023) - [c246]Yijia Shao, Yiduo Guo, Dongyan Zhao, Bing Liu:
Class-Incremental Learning based on Label Generation. ACL (2) 2023: 1263-1276 - [c245]Neeraj Varshney, Himanshu Gupta, Eric Robertson, Bing Liu, Chitta Baral:
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution. ACL (Findings) 2023: 1794-1818 - [c244]Yiduo Guo, Yaobo Liang, Dongyan Zhao, Bing Liu, Nan Duan:
Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast. ACL (1) 2023: 4002-4017 - [c243]Yiduo Guo, Bing Liu, Dongyan Zhao:
Dealing with Cross-Task Class Discrimination in Online Continual Learning. CVPR 2023: 11878-11887 - [c242]Zixuan Ke, Bing Liu, Wenhan Xiong, Asli Celikyilmaz, Haoran Li:
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks. EMNLP (Findings) 2023: 15090-15107 - [c241]Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu:
Continual Pre-training of Language Models. ICLR 2023 - [c240]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu:
Learnability and Algorithm for Continual Learning. ICML 2023: 16877-16896 - [c239]Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu:
Parameter-Level Soft-Masking for Continual Learning. ICML 2023: 17492-17505 - [i76]Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu:
Adapting a Language Model While Preserving its General Knowledge. CoRR abs/2301.08986 (2023) - [i75]Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu:
Continual Learning of Language Models. CoRR abs/2302.03241 (2023) - [i74]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu:
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning. CoRR abs/2304.10038 (2023) - [i73]Neeraj Varshney, Himanshu Gupta, Eric Robertson, Bing Liu, Chitta Baral:
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution. CoRR abs/2305.05079 (2023) - [i72]Yiduo Guo, Yaobo Liang, Dongyan Zhao, Bing Liu, Nan Duan:
Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast. CoRR abs/2305.11449 (2023) - [i71]Yiduo Guo, Bing Liu, Dongyan Zhao:
Dealing with Cross-Task Class Discrimination in Online Continual Learning. CoRR abs/2305.14657 (2023) - [i70]Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan, Lidong Bing:
Sentiment Analysis in the Era of Large Language Models: A Reality Check. CoRR abs/2305.15005 (2023) - [i69]Yijia Shao, Yiduo Guo, Dongyan Zhao, Bing Liu:
Class-Incremental Learning based on Label Generation. CoRR abs/2306.12619 (2023) - [i68]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu:
Learnability and Algorithm for Continual Learning. CoRR abs/2306.12646 (2023) - [i67]Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu:
Parameter-Level Soft-Masking for Continual Learning. CoRR abs/2306.14775 (2023) - [i66]Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo, Bing Liu:
Class Incremental Learning via Likelihood Ratio Based Task Prediction. CoRR abs/2309.15048 (2023) - [i65]Zixuan Ke, Bing Liu, Wenhan Xiong, Asli Celikyilmaz, Haoran Li:
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks. CoRR abs/2310.09436 (2023) - [i64]Changnan Xiao, Bing Liu:
Conditions for Length Generalization in Learning Reasoning Skills. CoRR abs/2311.16173 (2023) - 2022
- [j49]Mi Zhang, Tieyun Qian, Bing Liu:
Exploit Feature and Relation Hierarchy for Relation Extraction. IEEE ACM Trans. Audio Speech Lang. Process. 30: 917-930 (2022) - [j48]Yanni Li, Hui Li, Zhi Wang, Bing Liu, Jiangtao Cui, Hang Fei:
ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering. IEEE Trans. Knowl. Data Eng. 34(2): 617-630 (2022) - [c238]Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu:
Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP. AAAI 2022: 6568-6576 - [c237]Yiduo Guo, Wenpeng Hu, Dongyan Zhao, Bing Liu:
Adaptive Orthogonal Projection for Batch and Online Continual Learning. AAAI 2022: 6783-6791 - [c236]Yue Zhou, Barbara Di Eugenio, Brian D. Ziebart, Lisa K. Sharp, Bing Liu, Ben S. Gerber, Nikolaos Agadakos, Shweta Yadav:
Towards Enhancing Health Coaching Dialogue in Low-Resource Settings. COLING 2022: 694-706 - [c235]Gyuhak Kim, Bing Liu, Zixuan Ke:
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. CoLLAs 2022: 548-563 - [c234]Sepideh Esmaeilpour, Lei Shu, Bing Liu:
Open Set Recognition Via Augmentation-Based Similarity Learning. CoLLAs 2022: 875-885 - [c233]Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu:
Continual Learning Based on OOD Detection and Task Masking. CVPR Workshops 2022: 3855-3865 - [c232]Nianzu Ma, Sahisnu Mazumder, Alexander Politowicz, Bing Liu, Eric Robertson, Scott Grigsby:
Semantic Novelty Detection and Characterization in Factual Text Involving Named Entities. EMNLP 2022: 9225-9252 - [c231]Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu:
Adapting a Language Model While Preserving its General Knowledge. EMNLP 2022: 10177-10188 - [c230]Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu:
Continual Training of Language Models for Few-Shot Learning. EMNLP 2022: 10205-10216 - [c229]Yiduo Guo, Bing Liu, Dongyan Zhao:
Online Continual Learning through Mutual Information Maximization. ICML 2022: 8109-8126 - [c228]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu:
A Theoretical Study on Solving Continual Learning. NeurIPS 2022 - [c227]Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu:
Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning. PAKDD (1) 2022: 367-379 - [c226]Mengyu Wang, Yijia Shao, Haowei Lin, Wenpeng Hu, Bing Liu:
CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection. ECML/PKDD (4) 2022: 502-518 - [c225]Sahisnu Mazumder, Bing Liu:
Continual Learning Dialogue Systems - Learning during Conversation. SIGIR 2022: 3429-3432 - [c224]Reinald Kim Amplayo, Arthur Brazinskas, Yoshi Suhara, Xiaolan Wang, Bing Liu:
Beyond Opinion Mining: Summarizing Opinions of Customer Reviews. SIGIR 2022: 3447-3450 - [c223]Congcong Jiang, Tieyun Qian, Bing Liu:
Knowledge Distillation for Discourse Relation Analysis. WWW (Companion Volume) 2022: 210-214 - [i63]Lei Shu, Hu Xu, Bing Liu, Jiahua Chen:
Zero-Shot Aspect-Based Sentiment Analysis. CoRR abs/2202.01924 (2022) - [i62]Bing Liu, Sahisnu Mazumder, Eric Robertson, Scott Grigsby:
AI Autonomy: Self-Initiation, Adaptation and Continual Learning. CoRR abs/2203.08994 (2022) - [i61]Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu:
Continual Learning Based on OOD Detection and Task Masking. CoRR abs/2203.09450 (2022) - [i60]Sepideh Esmaeilpour, Lei Shu, Bing Liu:
Open-set Recognition via Augmentation-based Similarity Learning. CoRR abs/2203.13238 (2022) - [i59]Reinald Kim Amplayo, Arthur Brazinskas, Yoshi Suhara, Xiaolan Wang, Bing Liu:
Beyond Opinion Mining: Summarizing Opinions of Customer Reviews. CoRR abs/2206.01543 (2022) - [i58]Gyuhak Kim, Zixuan Ke, Bing Liu:
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. CoRR abs/2208.09734 (2022) - [i57]Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu:
Continual Training of Language Models for Few-Shot Learning. CoRR abs/2210.05549 (2022) - [i56]Sahisnu Mazumder, Bing Liu, Shuai Wang, Yingxuan Zhu, Xiaotian Yin, Lifeng Liu, Jian Li:
Knowledge-Guided Exploration in Deep Reinforcement Learning. CoRR abs/2210.15670 (2022) - [i55]Nianzu Ma, Sahisnu Mazumder, Alexander Politowicz, Bing Liu, Eric Robertson, Scott Grigsby:
Semantic Novelty Detection and Characterization in Factual Text Involving Named Entities. CoRR abs/2210.17440 (2022) - [i54]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu:
A Theoretical Study on Solving Continual Learning. CoRR abs/2211.02633 (2022) - [i53]Sahisnu Mazumder, Bing Liu:
Lifelong and Continual Learning Dialogue Systems. CoRR abs/2211.06553 (2022) - [i52]Zixuan Ke, Bing Liu:
Continual Learning of Natural Language Processing Tasks: A Survey. CoRR abs/2211.12701 (2022) - 2021
- [j47]Soujanya Poria, Yew-Soon Ong, Bing Liu, Lidong Bing:
Affect Recognition for Multimodal Natural Language Processing. Cogn. Comput. 13(2): 229-230 (2021) - [j46]Yanni Li, Bing Liu, Yongbo Yu, Hui Li, Jiacan Sun, Jiangtao Cui:
3E-LDA: Three Enhancements to Linear Discriminant Analysis. ACM Trans. Knowl. Discov. Data 15(4): 57:1-57:20 (2021) - [c222]Wenpeng Hu, Qi Qin, Mengyu Wang, Jinwen Ma, Bing Liu:
Continual Learning by Using Information of Each Class Holistically. AAAI 2021: 7797-7805 - [c221]Wenpeng Hu, Ran Le, Bing Liu, Feng Ji, Jinwen Ma, Dongyan Zhao, Rui Yan:
Predictive Adversarial Learning from Positive and Unlabeled Data. AAAI 2021: 7806-7814 - [c220]Bing Liu, Sahisnu Mazumder:
Lifelong and Continual Learning Dialogue Systems: Learning during Conversation. AAAI 2021: 15058-15063 - [c219]Shuai Wang, Guangyi Lv, Sahisnu Mazumder, Bing Liu:
Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon. ACL/IJCNLP (Findings) 2021: 3657-3668 - [c218]Nianzu Ma, Alexander Politowicz, Sahisnu Mazumder, Jiahua Chen, Bing Liu, Eric Robertson, Scott Grigsby:
Semantic Novelty Detection in Natural Language Descriptions. EMNLP (1) 2021: 866-882 - [c217]Zixuan Ke, Bing Liu, Hu Xu, Lei Shu:
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. EMNLP (1) 2021: 6871-6883 - [c216]Yanni Li, Hui Li, Zhi Wang, Bing Liu, Jiangtao Cui, Hang Fei:
ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering (Extended Abstract). ICDE 2021: 2329-2330 - [c215]Zixuan Ke, Hu Xu, Bing Liu:
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. NAACL-HLT 2021: 4746-4755 - [c214]Qi Qin, Wenpeng Hu, Han Peng, Dongyan Zhao, Bing Liu:
BNS: Building Network Structures Dynamically for Continual Learning. NeurIPS 2021: 20608-20620 - [c213]Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu:
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. NeurIPS 2021: 22443-22456 - [c212]Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Bing Liu, Ben S. Gerber, Lisa K. Sharp:
Summarizing Behavioral Change Goals from SMS Exchanges to Support Health Coaches. SIGDIAL 2021: 276-289 - [i51]Geli Fei, Shuai Wang, Bing Liu, Leman Akoglu:
Detecting Changed-Hands Online Review Accounts. CoRR abs/2106.15352 (2021) - [i50]Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu:
Zero-Shot Open Set Detection by Extending CLIP. CoRR abs/2109.02748 (2021) - [i49]Bing Liu, Eric Robertson, Scott Grigsby, Sahisnu Mazumder:
Self-Initiated Open World Learning for Autonomous AI Agents. CoRR abs/2110.11385 (2021) - [i48]Yanni Li, Bing Liu, Kaicheng Yao, Xiaoli Kou, Pengfan Lv, Yueshen Xu, Jiangtao Cui:
Defeating Catastrophic Forgetting via Enhanced Orthogonal Weights Modification. CoRR abs/2111.10078 (2021) - [i47]Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu:
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. CoRR abs/2112.02706 (2021) - [i46]Zixuan Ke, Bing Liu, Hu Xu, Lei Shu:
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. CoRR abs/2112.02714 (2021) - [i45]Zixuan Ke, Hu Xu, Bing Liu:
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. CoRR abs/2112.03271 (2021) - [i44]Zixuan Ke, Bing Liu, Xingchang Huang:
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks. CoRR abs/2112.10017 (2021) - [i43]Zixuan Ke, Bing Liu, Hao Wang, Lei Shu:
Continual Learning with Knowledge Transfer for Sentiment Classification. CoRR abs/2112.10021 (2021) - 2020
- [j45]Huilin Yu, Tieyun Qian, Yile Liang, Bing Liu:
AGTR: Adversarial Generation of Target Review for Rating Prediction. Data Sci. Eng. 5(4): 346-359 (2020) - [j44]Hao Wang, Yan Yang, Bing Liu:
GMC: Graph-Based Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 32(6): 1116-1129 (2020) - [c211]Nianzu Ma, Sahisnu Mazumder, Hao Wang, Bing Liu:
Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification. ACL 2020: 5782-5788 - [c210]Qi Qin, Wenpeng Hu, Bing Liu:
Feature Projection for Improved Text Classification. ACL 2020: 8161-8171 - [c209]Hu Xu, Lei Shu, Philip S. Yu, Bing Liu:
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. COLING 2020: 244-250 - [c208]Hao Wang, Shuai Wang, Sahisnu Mazumder, Bing Liu, Yan Yang, Tianrui Li:
Bayes-enhanced Lifelong Attention Networks for Sentiment Classification. COLING 2020: 580-591 - [c207]Wenpeng Hu, Mengyu Wang, Bing Liu, Feng Ji, Jinwen Ma, Dongyan Zhao:
Transformation of Dense and Sparse Text Representations. COLING 2020: 3257-3267 - [c206]Wenpeng Hu, Ran Le, Bing Liu, Jinwen Ma, Dongyan Zhao, Rui Yan:
Translation vs. Dialogue: A Comparative Analysis of Sequence-to-Sequence Modeling. COLING 2020: 4111-4122 - [c205]Huilin Yu, Tieyun Qian, Yile Liang, Bing Liu:
Adversarial Generation of Target Review for Rating Prediction. DASFAA (2) 2020: 73-89 - [c204]Qi Qin, Wenpeng Hu, Bing Liu:
Using the Past Knowledge to Improve Sentiment Classification. EMNLP (Findings) 2020: 1124-1133 - [c203]Jiahua Chen, Shuai Wang, Sahisnu Mazumder, Bing Liu:
A Knowledge-driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining. EMNLP (Findings) 2020: 1616-1626 - [c202]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis. EMNLP (Findings) 2020: 1725-1731 - [c201]Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gökhan Tür, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino:
Controllable Text Generation with Focused Variation. EMNLP (Findings) 2020: 3805-3817 - [c200]Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Bing Liu, Ben S. Gerber, Lisa K. Sharp:
Goal Summarization for Human-Human Health Coaching Dialogues. FLAIRS 2020: 317-322 - [c199]Wenpeng Hu, Mengyu Wang, Qi Qin, Jinwen Ma, Bing Liu:
HRN: A Holistic Approach to One Class Learning. NeurIPS 2020 - [c198]Zixuan Ke, Bing Liu, Xingchang Huang:
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks. NeurIPS 2020 - [c197]Zixuan Ke, Bing Liu, Hao Wang, Lei Shu:
Continual Learning with Knowledge Transfer for Sentiment Classification. ECML/PKDD (3) 2020: 683-698 - [c196]Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Aiswarya Baiju, Bing Liu, Ben S. Gerber, Lisa K. Sharp, Nadia Nabulsi, Mary Smart:
Human-Human Health Coaching via Text Messages: Corpus, Annotation, and Analysis. SIGdial 2020: 246-256 - [i42]Yanni Li, Bing Liu, Jiangtao Cui, Zhi Wang, Yulong Shen, Yueshen Xu, Kaicheng Yao:
Similarities and Evolutionary Relationships of COVID-19 and Related Viruses. CoRR abs/2003.05580 (2020) - [i41]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis. CoRR abs/2004.13816 (2020) - [i40]Shuai Wang, Guangyi Lv, Sahisnu Mazumder, Bing Liu:
Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon. CoRR abs/2004.14357 (2020) - [i39]Hu Xu, Seungwhan Moon, Honglei Liu, Bing Liu, Pararth Shah, Bing Liu, Philip S. Yu:
User Memory Reasoning for Conversational Recommendation. CoRR abs/2006.00184 (2020) - [i38]Bing Liu, Sahisnu Mazumder:
Lifelong Learning Dialogue Systems: Chatbots that Self-Learn On the Job. CoRR abs/2009.10750 (2020) - [i37]Qi Qin, Wenpeng Hu, Bing Liu:
Text Classification with Novelty Detection. CoRR abs/2009.11119 (2020) - [i36]Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gökhan Tür, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino:
Controllable Text Generation with Focused Variation. CoRR abs/2009.12046 (2020) - [i35]Jiahua Chen, Shuai Wang, Sahisnu Mazumder, Bing Liu:
A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining. CoRR abs/2010.05357 (2020) - [i34]Hu Xu, Lei Shu, Philip S. Yu, Bing Liu:
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. CoRR abs/2011.00169 (2020)
2010 – 2019
- 2019
- [j43]Erik Cambria, Soujanya Poria, Amir Hussain, Bing Liu:
Computational Intelligence for Affective Computing and Sentiment Analysis [Guest Editorial]. IEEE Comput. Intell. Mag. 14(2): 16-17 (2019) - [j42]Hao Wang, Yan Yang, Bing Liu, Hamido Fujita:
A study of graph-based system for multi-view clustering. Knowl. Based Syst. 163: 1009-1019 (2019) - [j41]Huaishao Luo, Tianrui Li, Bing Liu, Bin Wang, Herwig Unger:
Improving Aspect Term Extraction With Bidirectional Dependency Tree Representation. IEEE ACM Trans. Audio Speech Lang. Process. 27(7): 1201-1212 (2019) - [j40]Zeng Yu, Tianrui Li, Ning Yu, Yi Pan, Hongmei Chen, Bing Liu:
Reconstruction of Hidden Representation for Robust Feature Extraction. ACM Trans. Intell. Syst. Technol. 10(2): 18:1-18:24 (2019) - [c195]Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang:
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. ACL (1) 2019: 591-601 - [c194]Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang:
Forward and Backward Knowledge Transfer for Sentiment Classification. ACML 2019: 457-472 - [c193]Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Bing Liu, Ben S. Gerber, Lisa K. Sharp:
Modeling Health Coaching Dialogues for Behavioral Goal Extraction. BIBM 2019: 1188-1190 - [c192]Guangyi Lv, Shuai Wang, Bing Liu, Enhong Chen, Kun Zhang:
Sentiment Classification by Leveraging the Shared Knowledge from a Sequence of Domains. DASFAA (1) 2019: 795-811 - [c191]Lei Shu, Hu Xu, Bing Liu, Piero Molino:
Modeling Multi-Action Policy for Task-Oriented Dialogues. EMNLP/IJCNLP (1) 2019: 1304-1310 - [c190]Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li:
Learning with Noisy Labels for Sentence-level Sentiment Classification. EMNLP/IJCNLP (1) 2019: 6285-6291 - [c189]Wenpeng Hu, Zhou Lin, Bing Liu, Chongyang Tao, Zhengwei Tao, Jinwen Ma, Dongyan Zhao, Rui Yan:
Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation. ICLR (Poster) 2019 - [c188]Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou:
Spectral Perturbation Meets Incomplete Multi-view Data. IJCAI 2019: 3677-3683 - [c187]Wenpeng Hu, Zhangming Chan, Bing Liu, Dongyan Zhao, Jinwen Ma, Rui Yan:
GSN: A Graph-Structured Network for Multi-Party Dialogues. IJCAI 2019: 5010-5016 - [c186]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. NAACL-HLT (1) 2019: 2324-2335 - [c185]Shuai Wang, Mianwei Zhou, Sahisnu Mazumder, Bing Liu, Yi Chang:
Disentangling Aspect and Opinion Words in Sentiment Analysis Using Lifelong PU Learning. NFMCP@PKDD/ECML 2019: 100-115 - [c184]Sahisnu Mazumder, Bing Liu, Shuai Wang, Nianzu Ma:
Lifelong and Interactive Learning of Factual Knowledge in Dialogues. SIGdial 2019: 21-31 - [c183]Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür:
Flexibly-Structured Model for Task-Oriented Dialogues. SIGdial 2019: 178-187 - [c182]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Open-world Learning and Application to Product Classification. WWW 2019: 3413-3419 - [i33]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Review Conversational Reading Comprehension. CoRR abs/1902.00821 (2019) - [i32]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. CoRR abs/1904.02232 (2019) - [i31]Lei Shu, Hu Xu, Bing Liu:
Controlled CNN-based Sequence Labeling for Aspect Extraction. CoRR abs/1905.06407 (2019) - [i30]Wenpeng Hu, Zhangming Chan, Bing Liu, Dongyan Zhao, Jinwen Ma, Rui Yan:
GSN: A Graph-Structured Network for Multi-Party Dialogues. CoRR abs/1905.13637 (2019) - [i29]Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou:
Spectral Perturbation Meets Incomplete Multi-view Data. CoRR abs/1906.00098 (2019) - [i28]Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang:
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. CoRR abs/1906.01794 (2019) - [i27]Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang:
Forward and Backward Knowledge Transfer for Sentiment Classification. CoRR abs/1906.03506 (2019) - [i26]Sahisnu Mazumder, Bing Liu, Shuai Wang, Nianzu Ma:
Lifelong and Interactive Learning of Factual Knowledge in Dialogues. CoRR abs/1907.13295 (2019) - [i25]Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür:
Flexibly-Structured Model for Task-Oriented Dialogues. CoRR abs/1908.02402 (2019) - [i24]Lei Shu, Hu Xu, Bing Liu, Piero Molino:
Modeling Multi-Action Policy for Task-Oriented Dialogues. CoRR abs/1908.11546 (2019) - [i23]Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li:
Learning with Noisy Labels for Sentence-level Sentiment Classification. CoRR abs/1909.00124 (2019) - [i22]Sahisnu Mazumder, Bing Liu, Shuai Wang, Sepideh Esmaeilpour:
Building an Application Independent Natural Language Interface. CoRR abs/1910.14084 (2019) - [i21]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution. CoRR abs/1911.01460 (2019) - [i20]Wenpeng Hu, Mengyu Wang, Bing Liu, Feng Ji, Haiqing Chen, Dongyan Zhao, Jinwen Ma, Rui Yan:
Transformation of Dense and Sparse Text Representations. CoRR abs/1911.02914 (2019) - 2018
- [b6]Zhiyuan Chen, Bing Liu:
Lifelong Machine Learning, Second Edition. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00453-7 - [j39]Yuhua Qian, Xinyan Liang, Qi Wang, Jiye Liang, Bing Liu, Andrzej Skowron, Yiyu Yao, Jianmin Ma, Chuangyin Dang:
Local rough set: A solution to rough data analysis in big data. Int. J. Approx. Reason. 97: 38-63 (2018) - [j38]Feijiang Li, Yuhua Qian, Jieting Wang, Chuangyin Dang, Bing Liu:
Cluster's Quality Evaluation and Selective Clustering Ensemble. ACM Trans. Knowl. Discov. Data 12(5): 60:1-60:27 (2018) - [j37]Lei Zhang, Shuai Wang, Bing Liu:
Deep learning for sentiment analysis: A survey. WIREs Data Mining Knowl. Discov. 8(4) (2018) - [c181]Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu:
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory. AAAI 2018: 730-739 - [c180]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. ACL (2) 2018: 592-598 - [c179]Shuai Wang, Sahisnu Mazumder, Bing Liu, Mianwei Zhou, Yi Chang:
Target-Sensitive Memory Networks for Aspect Sentiment Classification. ACL (1) 2018: 957-967 - [c178]Shuai Wang, Guangyi Lv, Sahisnu Mazumder, Geli Fei, Bing Liu:
Lifelong Learning Memory Networks for Aspect Sentiment Classification. IEEE BigData 2018: 861-870 - [c177]Zhenni You, Tieyun Qian, Bing Liu:
An Attribute Enhanced Domain Adaptive Model for Cold-Start Spam Review Detection. COLING 2018: 1884-1895 - [c176]Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Bing Liu, Ben S. Gerber, Lisa K. Sharp, Rafe Davis, Aiswarya Baiju:
Towards Building a Virtual Assistant Health Coach. ICHI 2018: 419-421 - [c175]Wenpeng Hu, Bing Liu, Jinwen Ma, Dongyan Zhao, Rui Yan:
Aspect-based Question Generation. ICLR (Workshop) 2018 - [c174]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Lifelong Domain Word Embedding via Meta-Learning. IJCAI 2018: 4510-4516 - [e12]Naoki Abe, Huan Liu, Calton Pu, Xiaohua Hu, Nesreen K. Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey S. Saltz:
IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018. IEEE 2018, ISBN 978-1-5386-5035-6 [contents] - [r8]Bing Liu:
Classification by Association Rule Analysis. Encyclopedia of Database Systems (2nd ed.) 2018 - [r7]Bing Liu:
Opinion Mining. Encyclopedia of Database Systems (2nd ed.) 2018 - [r6]Lei Zhang, Bing Liu:
Sentiment Analysis in Social Media, Aspect Extraction for. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i19]Zhiyuan Chen, Nianzu Ma, Bing Liu:
Lifelong Learning for Sentiment Classification. CoRR abs/1801.02808 (2018) - [i18]Lei Shu, Hu Xu, Bing Liu:
Unseen Class Discovery in Open-world Classification. CoRR abs/1801.05609 (2018) - [i17]Shuai Wang, Mianwei Zhou, Geli Fei, Yi Chang, Bing Liu:
Contextual and Position-Aware Factorization Machines for Sentiment Classification. CoRR abs/1801.06172 (2018) - [i16]Lei Zhang, Shuai Wang, Bing Liu:
Deep Learning for Sentiment Analysis : A Survey. CoRR abs/1801.07883 (2018) - [i15]Shuai Wang, Mianwei Zhou, Sahisnu Mazumder, Bing Liu, Yi Chang:
Disentangling Aspect and Opinion Words in Target-based Sentiment Analysis using Lifelong Learning. CoRR abs/1802.05818 (2018) - [i14]Sahisnu Mazumder, Nianzu Ma, Bing Liu:
Towards a Continuous Knowledge Learning Engine for Chatbots. CoRR abs/1802.06024 (2018) - [i13]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. CoRR abs/1805.04601 (2018) - [i12]Huaishao Luo, Tianrui Li, Bing Liu, Bin Wang, Herwig Unger:
Improving Aspect Term Extraction with Bidirectional Dependency Tree Representation. CoRR abs/1805.07889 (2018) - [i11]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Lifelong Domain Word Embedding via Meta-Learning. CoRR abs/1805.09991 (2018) - [i10]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Learning to Accept New Classes without Training. CoRR abs/1809.06004 (2018) - 2017
- [j36]Bing Liu:
Lifelong machine learning: a paradigm for continuous learning. Frontiers Comput. Sci. 11(3): 359-361 (2017) - [c173]Lei Shu, Hu Xu, Bing Liu:
Lifelong Learning CRF for Supervised Aspect Extraction. ACL (2) 2017: 148-154 - [c172]Lei Shu, Hu Xu, Bing Liu:
DOC: Deep Open Classification of Text Documents. EMNLP 2017: 2911-2916 - [c171]Sahisnu Mazumder, Bing Liu:
Context-aware Path Ranking for Knowledge Base Completion. IJCAI 2017: 1195-1201 - [c170]Konstantin Bauman, Bing Liu, Alexander Tuzhilin:
Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews. KDD 2017: 717-725 - [c169]Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao:
Bimodal Distribution and Co-Bursting in Review Spam Detection. WWW 2017: 1063-1072 - [r5]Lei Zhang, Bing Liu:
Sentiment Analysis and Opinion Mining. Encyclopedia of Machine Learning and Data Mining 2017: 1152-1161 - [r4]Zhiyuan Chen, Bing Liu:
Topic Models for NLP Applications. Encyclopedia of Machine Learning and Data Mining 2017: 1276-1280 - [i9]Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu:
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory. CoRR abs/1704.01074 (2017) - [i8]Bei Liu, Tieyun Qian, Bing Liu, Liang Hong, Zhenni You, Yuxiang Li:
Learning Spatiotemporal-Aware Representation for POI Recommendation. CoRR abs/1704.08853 (2017) - [i7]Lei Shu, Hu Xu, Bing Liu:
Lifelong Learning CRF for Supervised Aspect Extraction. CoRR abs/1705.00251 (2017) - [i6]Lei Shu, Hu Xu, Bing Liu:
DOC: Deep Open Classification of Text Documents. CoRR abs/1709.08716 (2017) - [i5]Zeng Yu, Tianrui Li, Ning Yu, Yi Pan, Hongmei Chen, Bing Liu:
Reconstruction of Hidden Representation for Robust Feature Extraction. CoRR abs/1710.02844 (2017) - [i4]Sahisnu Mazumder, Bing Liu:
Context-aware Path Ranking for Knowledge Base Completion. CoRR abs/1712.07745 (2017) - 2016
- [b5]Zhiyuan Chen, Bing Liu:
Lifelong Machine Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2016, ISBN 978-3-031-01575-5 - [j35]Tieyun Qian, Bing Liu, Li Chen, Zhiyong Peng, Ming Zhong, Guoliang He, Xuhui Li, Gang Xu:
Tri-Training for authorship attribution with limited training data: a comprehensive study. Neurocomputing 171: 798-806 (2016) - [j34]Liang Yang, Bing Liu, Hongfei Lin, Yuan Lin:
Combining local and global information for product feature extraction in opinion documents. Inf. Process. Lett. 116(10): 623-627 (2016) - [j33]Qian Liu, Zhiqiang Gao, Bing Liu, Yuanlin Zhang:
Automated rule selection for opinion target extraction. Knowl. Based Syst. 104: 74-88 (2016) - [j32]Yuhua Qian, Feijiang Li, Jiye Liang, Bing Liu, Chuangyin Dang:
Space Structure and Clustering of Categorical Data. IEEE Trans. Neural Networks Learn. Syst. 27(10): 2047-2059 (2016) - [c168]Qian Liu, Bing Liu, Yuanlin Zhang, Doo Soon Kim, Zhiqiang Gao:
Improving Opinion Aspect Extraction Using Semantic Similarity and Aspect Associations. AAAI 2016: 2986-2992 - [c167]Shuai Wang, Zhiyuan Chen, Bing Liu, Sherry Emery:
Identifying Search Keywords for Finding Relevant Social Media Posts. AAAI 2016: 3052-3058 - [c166]Geli Fei, Zhiyuan (Brett) Chen, Arjun Mukherjee, Bing Liu:
Discovering Correspondence of Sentiment Words and Aspects. CICLing (2) 2016: 233-245 - [c165]Lei Shu, Bing Liu, Hu Xu, Annice Kim:
Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets. EMNLP 2016: 225-235 - [c164]Shuai Wang, Zhiyuan Chen, Geli Fei, Bing Liu, Sherry Emery:
Targeted Topic Modeling for Focused Analysis. KDD 2016: 1235-1244 - [c163]Geli Fei, Shuai Wang, Bing Liu:
Learning Cumulatively to Become More Knowledgeable. KDD 2016: 1565-1574 - [c162]Zhiyuan Chen, Estevam R. Hruschka Jr., Bing Liu:
Lifelong Machine Learning and Computer Reading the Web. KDD 2016: 2117-2118 - [c161]Geli Fei, Bing Liu:
Breaking the Closed World Assumption in Text Classification. HLT-NAACL 2016: 506-514 - [c160]Konstantin Bauman, Bing Liu, Alexander Tuzhilin:
Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews. CBRecSys@RecSys 2016: 19-22 - [c159]Shuai Wang, Zhiyuan Chen, Bing Liu:
Mining Aspect-Specific Opinion using a Holistic Lifelong Topic Model. WWW 2016: 167-176 - [i3]Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao:
Modeling Review Spam Using Temporal Patterns and Co-bursting Behaviors. CoRR abs/1611.06625 (2016) - [i2]Lei Shu, Bing Liu, Hu Xu, Annice Kim:
Supervised Opinion Aspect Extraction by Exploiting Past Extraction Results. CoRR abs/1612.07940 (2016) - 2015
- [b4]Bing Liu:
Sentiment Analysis - Mining Opinions, Sentiments, and Emotions. Cambridge University Press 2015, ISBN 978-1-10-701789-4, pp. I-XVI, 1-367 - [j31]Tieyun Qian, Bing Liu, Qing Li, Jianfeng Si:
Review Authorship Attribution in a Similarity Space. J. Comput. Sci. Technol. 30(1): 200-213 (2015) - [j30]Yuhua Qian, Hang Xu, Jiye Liang, Bing Liu, Jieting Wang:
Fusing Monotonic Decision Trees. IEEE Trans. Knowl. Data Eng. 27(10): 2717-2728 (2015) - [j29]Jing Wang, Clement T. Yu, Philip S. Yu, Bing Liu, Weiyi Meng:
Diversionary Comments under Blog Posts. ACM Trans. Web 9(4): 18:1-18:34 (2015) - [c158]Huayi Li, Arjun Mukherjee, Jianfeng Si, Bing Liu:
Extracting Verb Expressions Implying Negative Opinions. AAAI 2015: 2411-2417 - [c157]Zhiyuan Chen, Nianzu Ma, Bing Liu:
Lifelong Learning for Sentiment Classification. ACL (2) 2015: 750-756 - [c156]Geli Fei, Bing Liu:
Social Media Text Classification under Negative Covariate Shift. EMNLP 2015: 2347-2356 - [c155]Huayi Li, Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Jidong Shao:
Analyzing and Detecting Opinion Spam on a Large-scale Dataset via Temporal and Spatial Patterns. ICWSM 2015: 634-637 - [c154]Qian Liu, Zhiqiang Gao, Bing Liu, Yuanlin Zhang:
Automated Rule Selection for Aspect Extraction in Opinion Mining. IJCAI 2015: 1291-1297 - [c153]Bing Liu:
Sentiment analysis, lifelong learning, and intelligent personal assistants. TAAI 2015: 28 - 2014
- [j28]Huayi Li, Bing Liu, Arjun Mukherjee, Jidong Shao:
Spotting Fake Reviews using Positive-Unlabeled Learning. Computación y Sistemas 18(3) (2014) - [j27]Tieyun Qian, Qing Li, Bing Liu, Hui Xiong, Jaideep Srivastava, Phillip C.-Y. Sheu:
Topic formation and development: a core-group evolving process. World Wide Web 17(6): 1343-1373 (2014) - [c152]Tieyun Qian, Bing Liu, Li Chen, Zhiyong Peng:
Tri-Training for Authorship Attribution with Limited Training Data. ACL (2) 2014: 345-351 - [c151]Zhiyuan Chen, Arjun Mukherjee, Bing Liu:
Aspect Extraction with Automated Prior Knowledge Learning. ACL (1) 2014: 347-358 - [c150]Yang Liu, Xiaohui Yu, Bing Liu, Zhongshuai Chen:
Sentence-Level Sentiment Analysis in the Presence of Modalities. CICLing (2) 2014: 1-16 - [c149]Geli Fei, Zhiyuan Chen, Bing Liu:
Review Topic Discovery with Phrases using the Pólya Urn Model. COLING 2014: 667-676 - [c148]Jianfeng Si, Arjun Mukherjee, Bing Liu, Sinno Jialin Pan, Qing Li, Huayi Li:
Exploiting Social Relations and Sentiment for Stock Prediction. EMNLP 2014: 1139-1145 - [c147]Huayi Li, Arjun Mukherjee, Bing Liu, Rachel Kornfield, Sherry Emery:
Detecting Campaign Promoters on Twitter Using Markov Random Fields. ICDM 2014: 290-299 - [c146]Huayi Li, Zhiyuan Chen, Bing Liu, Xiaokai Wei, Jidong Shao:
Spotting Fake Reviews via Collective Positive-Unlabeled Learning. ICDM 2014: 899-904 - [c145]Zhiyuan Chen, Bing Liu:
Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data. ICML 2014: 703-711 - [c144]Zhiyuan Chen, Bing Liu:
Mining topics in documents: standing on the shoulders of big data. KDD 2014: 1116-1125 - [c143]Tieyun Qian, Bing Liu, Ming Zhong, Guoliang He:
Co-training on authorship attribution with very fewlabeled examples: methods vs. views. SIGIR 2014: 903-906 - [p3]Xiaoli Li, Bing Liu:
Rule-Based Classification. Data Classification: Algorithms and Applications 2014: 121-156 - 2013
- [j26]Erik Cambria, Björn W. Schuller, Bing Liu, Haixun Wang, Catherine Havasi:
Knowledge-Based Approaches to Concept-Level Sentiment Analysis. IEEE Intell. Syst. 28(2): 12-14 (2013) - [j25]Erik Cambria, Björn W. Schuller, Bing Liu, Haixun Wang, Catherine Havasi:
Statistical Approaches to Concept-Level Sentiment Analysis. IEEE Intell. Syst. 28(3): 6-9 (2013) - [c142]Jianfeng Si, Arjun Mukherjee, Bing Liu, Qing Li, Huayi Li, Xiaotie Deng:
Exploiting Topic based Twitter Sentiment for Stock Prediction. ACL (2) 2013: 24-29 - [c141]Arjun Mukherjee, Bing Liu:
Discovering User Interactions in Ideological Discussions. ACL (1) 2013: 671-681 - [c140]Arjun Mukherjee, Vivek Venkataraman, Bing Liu, Sharon Meraz:
Public Dialogue: Analysis of Tolerance in Online Discussions. ACL (1) 2013: 1680-1690 - [c139]Yang Liu, Xiaohui Yu, Zhongshuai Chen, Bing Liu:
Sentiment analysis of sentences with modalities. UnstructureNLP@CIKM 2013: 39-44 - [c138]Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Discovering coherent topics using general knowledge. CIKM 2013: 209-218 - [c137]Tieyun Qian, Bing Liu:
Identifying Multiple Userids of the Same Author. EMNLP 2013: 1124-1135 - [c136]Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Exploiting Domain Knowledge in Aspect Extraction. EMNLP 2013: 1655-1667 - [c135]Geli Fei, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Exploiting Burstiness in Reviews for Review Spammer Detection. ICWSM 2013 - [c134]Arjun Mukherjee, Vivek Venkataraman, Bing Liu, Natalie S. Glance:
What Yelp Fake Review Filter Might Be Doing? ICWSM 2013 - [c133]Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Leveraging Multi-Domain Prior Knowledge in Topic Models. IJCAI 2013: 2071-2077 - [c132]Arjun Mukherjee, Abhinav Kumar, Bing Liu, Junhui Wang, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Spotting opinion spammers using behavioral footprints. KDD 2013: 632-640 - [c131]Zhiyuan Chen, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Identifying Intention Posts in Discussion Forums. HLT-NAACL 2013: 1041-1050 - [c130]Qian Liu, Zhiqiang Gao, Bing Liu, Yuanlin Zhang:
A Logic Programming Approach to Aspect Extraction in Opinion Mining. Web Intelligence 2013: 276-283 - [e11]Erik Cambria, Bing Liu, Yongzheng Zhang, Yunqing Xia:
Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining, WISDOM 2013, Chicago, IL, USA, August 11, 2013. ACM 2013, ISBN 978-1-4503-2332-1 [contents] - 2012
- [b3]Bing Liu:
Sentiment Analysis and Opinion Mining. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2012, ISBN 978-3-031-01017-0 - [j24]Zhongwu Zhai, Bing Liu, Jingyuan Wang, Hua Xu, Peifa Jia:
Product Feature Grouping for Opinion Mining. IEEE Intell. Syst. 27(4): 37-44 (2012) - [j23]Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu:
Identify Online Store Review Spammers via Social Review Graph. ACM Trans. Intell. Syst. Technol. 3(4): 61:1-61:21 (2012) - [c129]Arjun Mukherjee, Bing Liu:
Modeling Review Comments. ACL (1) 2012: 320-329 - [c128]Arjun Mukherjee, Bing Liu:
Aspect Extraction through Semi-Supervised Modeling. ACL (1) 2012: 339-348 - [c127]Jing Wang, Clement T. Yu, Philip S. Yu, Bing Liu, Weiyi Meng:
Diversionary comments under political blog posts. CIKM 2012: 1789-1793 - [c126]Geli Fei, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
A Dictionary-Based Approach to Identifying Aspects Implied by Adjectives for Opinion Mining. COLING (Posters) 2012: 309-318 - [c125]Arjun Mukherjee, Bing Liu:
Analysis of Linguistic Style Accommodation in Online Debates. COLING 2012: 1831-1846 - [c124]Arjun Mukherjee, Bing Liu:
Mining contentions from discussions and debates. KDD 2012: 841-849 - [c123]Arjun Mukherjee, Bing Liu, Natalie S. Glance:
Spotting fake reviewer groups in consumer reviews. WWW 2012: 191-200 - [p2]Bing Liu, Lei Zhang:
A Survey of Opinion Mining and Sentiment Analysis. Mining Text Data 2012: 415-463 - 2011
- [b2]Bing Liu:
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data. Second Edition. Data-Centric Systems and Applications, Springer 2011, ISBN 978-3-642-19459-7, pp. 1-603 - [j22]Guang Qiu, Bing Liu, Jiajun Bu, Chun Chen:
Opinion Word Expansion and Target Extraction through Double Propagation. Comput. Linguistics 37(1): 9-27 (2011) - [c122]Zhongwu Zhai, Bing Liu, Lei Zhang, Hua Xu, Peifa Jia:
Identifying Evaluative Sentences in Online Discussions. AAAI 2011: 933-938 - [c121]Lei Zhang, Bing Liu:
Identifying Noun Product Features that Imply Opinions. ACL (2) 2011: 575-580 - [c120]Lei Zhang, Bing Liu:
Entity set expansion in opinion documents. HT 2011: 281-290 - [c119]Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu:
Review Graph Based Online Store Review Spammer Detection. ICDM 2011: 1242-1247 - [c118]Lei Zhang, Bing Liu:
Extracting Resource Terms for Sentiment Analysis. IJCNLP 2011: 1171-1179 - [c117]Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia:
Constrained LDA for Grouping Product Features in Opinion Mining. PAKDD (1) 2011: 448-459 - [c116]Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia:
Clustering product features for opinion mining. WSDM 2011: 347-354 - [c115]Arjun Mukherjee, Bing Liu, Junhui Wang, Natalie S. Glance, Nitin Jindal:
Detecting group review spam. WWW (Companion Volume) 2011: 93-94 - 2010
- [c114]Xiaoli Li, Lei Zhang, Bing Liu, See-Kiong Ng:
Distributional Similarity vs. PU Learning for Entity Set Expansion. ACL (2) 2010: 359-364 - [c113]Bing Liu:
Keynote speaker. SMUC@CIKM 2010: 1-2 - [c112]Ee-Peng Lim, Viet-An Nguyen, Nitin Jindal, Bing Liu, Hady Wirawan Lauw:
Detecting product review spammers using rating behaviors. CIKM 2010: 939-948 - [c111]Nitin Jindal, Bing Liu, Ee-Peng Lim:
Finding unusual review patterns using unexpected rules. CIKM 2010: 1549-1552 - [c110]Enrique Amigó, Javier Artiles, Julio Gonzalo, Damiano Spina, Bing Liu, Adolfo Corujo:
WePS3 Evaluation Campaign: Overview of the On-line Reputation Management Task. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c109]Xiaowen Ding, Bing Liu:
Resolving Object and Attribute Coreference in Opinion Mining. COLING 2010: 268-276 - [c108]Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia:
Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints. COLING 2010: 1272-1280 - [c107]Lei Zhang, Bing Liu, Suk Hwan Lim, Eamonn O'Brien-Strain:
Extracting and Ranking Product Features in Opinion Documents. COLING (Posters) 2010: 1462-1470 - [c106]Arjun Mukherjee, Bing Liu:
Improving Gender Classification of Blog Authors. EMNLP 2010: 207-217 - [c105]Xiaoli Li, Bing Liu, See-Kiong Ng:
Negative Training Data Can be Harmful to Text Classification. EMNLP 2010: 218-228 - [c104]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 - [c103]Nitin Jindal, Bing Liu:
A Generalized Tree Matching Algorithm Considering Nested Lists for Web Data Extraction. SDM 2010: 930-941 - [c102]Cindy Xide Lin, Bo Zhao, Tim Weninger, Jiawei Han, Bing Liu:
Entity relation discovery from web tables and links. WWW 2010: 1145-1146 - [p1]Xin Li, Bing Liu, Philip S. Yu:
Time Sensitive Ranking with Application to Publication Search. Link Mining 2010: 187-209 - [e10]Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu:
ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010. IEEE Computer Society 2010, ISBN 978-0-7695-4256-0 [contents] - [e9]Wei Fan, Wynne Hsu, Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu:
ICDMW 2010, The 10th IEEE International Conference on Data Mining Workshops, Sydney, Australia, 13 December 2010. IEEE Computer Society 2010, ISBN 978-0-7695-4257-7 [contents] - [e8]Brian D. Davison, Torsten Suel, Nick Craswell, Bing Liu:
Proceedings of the Third International Conference on Web Search and Web Data Mining, WSDM 2010, New York, NY, USA, February 4-6, 2010. ACM 2010, ISBN 978-1-60558-889-6 [contents] - [r3]Bing Liu:
Sentiment Analysis and Subjectivity. Handbook of Natural Language Processing 2010: 627-666
2000 – 2009
- 2009
- [c101]Tieyun Qian, Qing Li, Bing Liu, Hui Xiong, Jaideep Srivastava, Phillip C.-Y. Sheu:
What's behind topic formation and development: a perspective of community core groups. CIKM 2009: 1843-1846 - [c100]Ramanathan Narayanan, Bing Liu, Alok N. Choudhary:
Sentiment Analysis of Conditional Sentences. EMNLP 2009: 180-189 - [c99]Andrea Vaccari, Francesco Calabrese, Bing Liu, Carlo Ratti:
Towards the SocioScope: an information system for the study of social dynamics through digital traces. GIS 2009: 52-61 - [c98]Lei Zhang, Bing Liu, Jeffrey Benkler, Chi Zhou:
Finding Actionable Knowledge via Automated Comparison. ICDE 2009: 1419-1430 - [c97]Guang Qiu, Bing Liu, Jiajun Bu, Chun Chen:
Expanding Domain Sentiment Lexicon through Double Propagation. IJCAI 2009: 1199-1204 - [c96]Xiaowen Ding, Bing Liu, Lei Zhang:
Entity discovery and assignment for opinion mining applications. KDD 2009: 1125-1134 - [c95]Xiaoli Li, Philip S. Yu, Bing Liu, See-Kiong Ng:
Positive Unlabeled Learning for Data Stream Classification. SDM 2009: 259-270 - [r2]Bing Liu:
Classification by Association Rule Analysis. Encyclopedia of Database Systems 2009: 335-340 - [r1]Bing Liu:
Opinion Mining. Encyclopedia of Database Systems 2009: 1986-1990 - 2008
- [j21]Bing Liu, Alexander Tuzhilin:
Managing large collections of data mining models. Commun. ACM 51(2): 85-89 (2008) - [j20]Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus F. M. Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael S. Steinbach, David J. Hand, Dan Steinberg:
Top 10 algorithms in data mining. Knowl. Inf. Syst. 14(1): 1-37 (2008) - [j19]Srinivasan Parthasarathy, Bing Liu:
Guest editorial. Stat. Anal. Data Min. 1(1): 4-5 (2008) - [c94]Murthy Ganapathibhotla, Bing Liu:
Mining Opinions in Comparative Sentences. COLING 2008: 241-248 - [c93]Xin Li, Bing Liu, Philip S. Yu:
Time Sensitive Ranking with Application to Publication Search. ICDM 2008: 893-898 - [c92]Nitin Jindal, Bing Liu:
Opinion spam and analysis. WSDM 2008: 219-230 - [c91]Xiaowen Ding, Bing Liu, Philip S. Yu:
A holistic lexicon-based approach to opinion mining. WSDM 2008: 231-240 - [e7]Ying Li, Bing Liu, Sunita Sarawagi:
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, August 24-27, 2008. ACM 2008, ISBN 978-1-60558-193-4 [contents] - 2007
- [b1]Bing Liu:
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data. Data-Centric Systems and Applications, Springer 2007, ISBN 978-3-540-37881-5, pp. 1-532 - [j18]Yanhong Zhai, Bing Liu:
Extracting Web Data Using Instance-Based Learning. World Wide Web(2): 113-132 (2007) - [j17]James Bennett, Charles Elkan, Bing Liu, Padhraic Smyth, Domonkos Tikk:
KDD Cup and workshop 2007. SIGKDD Explor. 9(2): 51-52 (2007) - [c90]Xiaoli Li, Bing Liu, See-Kiong Ng:
Learning to Classify Documents with Only a Small Positive Training Set. ECML 2007: 201-213 - [c89]Nitin Jindal, Bing Liu:
Analyzing and Detecting Review Spam. ICDM 2007: 547-552 - [c88]Xiaoli Li, Bing Liu, See-Kiong Ng:
Learning to Identify Unexpected Instances in the Test Set. IJCAI 2007: 2802-2807 - [c87]Yi Zhang, Bing Liu:
Semantic Text Classification of Emergent Disease Reports. PKDD 2007: 629-637 - [c86]Yi Zhang, Bing Liu:
Semantic text classification of disease reporting. SIGIR 2007: 747-748 - [c85]Xiaowen Ding, Bing Liu:
The utility of linguistic rules in opinion mining. SIGIR 2007: 811-812 - [c84]Nitin Jindal, Bing Liu:
Review spam detection. WWW 2007: 1189-1190 - 2006
- [j16]Yanhong Zhai, Bing Liu:
Structured Data Extraction from the Web Based on Partial Tree Alignment. IEEE Trans. Knowl. Data Eng. 18(12): 1614-1628 (2006) - [c83]Nitin Jindal, Bing Liu:
Mining Comparative Sentences and Relations. AAAI 2006: 1331-1336 - [c82]Minqing Hu, Bing Liu:
Opinion Extraction and Summarization on the Web. AAAI 2006: 1621-1624 - [c81]Yanhong Zhai, Bing Liu:
Automatic Wrapper Generation Using Tree Matching and Partial Tree Alignment. AAAI 2006: 1687-1690 - [c80]Minqing Hu, Bing Liu:
Opinion Feature Extraction Using Class Sequential Rules. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs 2006: 61-66 - [c79]Xin Li, Bing Liu, Philip S. Yu:
Mining Community Structure of Named Entities from Web Pages and Blogs. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs 2006: 108-114 - [c78]Shenghua Bao, Yunbo Cao, Bing Liu, Yong Yu, Hang Li:
Mining Latent Associations of Objects Using a Typed Mixture Model--A Case Study on Expert/Expertise Mining. ICDM 2006: 803-807 - [c77]Bing Liu, Kaidi Zhao, Jeffrey Benkler, Weimin Xiao:
Rule interestingness analysis using OLAP operations. KDD 2006: 297-306 - [c76]Kaidi Zhao, Bing Liu, Jeffrey Benkler, Weimin Xiao:
Opportunity map: identifying causes of failure - a deployed data mining system. KDD 2006: 892-901 - [c75]Xin Li, Bing Liu, Philip S. Yu:
Discovering Overlapping Communities of Named Entities. PKDD 2006: 593-600 - [c74]Nitin Jindal, Bing Liu:
Identifying comparative sentences in text documents. SIGIR 2006: 244-251 - [e6]Philip S. Yu, Vassilis J. Tsotras, Edward A. Fox, Bing Liu:
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, Arlington, Virginia, USA, November 6-11, 2006. ACM 2006, ISBN 1-59593-433-2 [contents] - [e5]Bamshad Mobasher, Olfa Nasraoui, Bing Liu, Brij M. Masand:
Advances in Web Mining and Web Usage Analysis, 6th International Workshop on Knowledge Discovery on the Web, WebKDD 2004, Seattle, WA, USA, August 22-25, 2004, Revised Selected Papers. Lecture Notes in Computer Science 3932, Springer 2006, ISBN 978-3-540-47127-1 [contents] - 2005
- [c73]Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xiao:
Opportunity map: a visualization framework for fast identification of actionable knowledge. CIKM 2005: 60-67 - [c72]Xin Li, Bing Liu:
Mining community structure of named entities from free text. CIKM 2005: 275-276 - [c71]Greeshma Neglur, Robert L. Grossman, Bing Liu:
Assigning Unique Keys to Chemical Compounds for Data Integration: Some Interesting Counter Examples. DILS 2005: 145-157 - [c70]Xiaoli Li, Bing Liu:
Learning from Positive and Unlabeled Examples with Different Data Distributions. ECML 2005: 218-229 - [c69]Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xiao:
A Visual Data Mining Framework for Convenient Identification of Useful Knowledge. ICDM 2005: 530-537 - [c68]Leonardo Rigutini, Marco Maggini, Bing Liu:
An EM Based Training Algorithm for Cross-Language Text Categorization. Web Intelligence 2005: 529-535 - [c67]Philip S. Yu, Xin Li, Bing Liu:
Adding the Temporal Dimension to Search - A Case Study in Publication Search. Web Intelligence 2005: 543-549 - [c66]Yanhong Zhai, Bing Liu:
Extracting Web Data Using Instance-Based Learning. WISE 2005: 318-331 - [c65]Bing Liu, Yanhong Zhai:
NET - A System for Extracting Web Data from Flat and Nested Data Records. WISE 2005: 487-495 - [c64]Bing Liu:
WISE-2005 Tutorial: Web Content Mining. WISE 2005: 763 - [c63]Yanhong Zhai, Bing Liu:
Web data extraction based on partial tree alignment. WWW 2005: 76-85 - [c62]Bing Liu, Minqing Hu, Junsheng Cheng:
Opinion observer: analyzing and comparing opinions on the Web. WWW 2005: 342-351 - [e4]Chengqi Zhang, Qiang Yang, Bing Liu:
Guest Editors' Introduction: Special Section on Intelligent Data Preparation. IEEE Trans. Knowl. Data Eng. 17(9): 1163-1165 (2005) - 2004
- [j15]Bing Liu, Robert L. Grossman, Yanhong Zhai:
Mining Web Pages for Data Records. IEEE Intell. Syst. 19(6): 49-55 (2004) - [j14]Robert L. Grossman, Pavan Kasturi, Donald Hamelberg, Bing Liu:
An Empirical Study of the Universal Chemical Key Algorithm for Assigning Unique Keys to Chemical Compounds. J. Bioinform. Comput. Biol. 2(1): 155-172 (2004) - [j13]Bing Liu, Kevin Chen-Chuan Chang:
Editorial: special issue on web content mining. SIGKDD Explor. 6(2): 1-4 (2004) - [j12]Olfa Nasraoui, Bamshad Mobasher, Brij M. Masand, Bing Liu:
WebKDD 2004: web mining and web usage analysis post-workshop report. SIGKDD Explor. 6(2): 147-151 (2004) - [c61]Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu:
Text Classification by Labeling Words. AAAI 2004: 425-430 - [c60]Minqing Hu, Bing Liu:
Mining Opinion Features in Customer Reviews. AAAI 2004: 755-760 - [c59]Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu:
Semi-supervised Text Classification Using Partitioned EM. DASFAA 2004: 482-493 - [c58]Minqing Hu, Bing Liu:
Mining and summarizing customer reviews. KDD 2004: 168-177 - [c57]Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Schaller:
V-Miner: using enhanced parallel coordinates to mine product design and test data. KDD 2004: 494-502 - [c56]Xiaoli Li, Bing Liu:
Dealing with different distributions in learning from. WWW (Alternate Track Papers & Posters) 2004: 440-441 - [c55]Philip S. Yu, Xin Li, Bing Liu:
On the temporal dimension of search. WWW (Alternate Track Papers & Posters) 2004: 448-449 - [e3]Gautam Das, Bing Liu, Philip S. Yu:
Proceedings of the 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, DMKD 2004, Paris, France, June 13, 2004. ACM 2004, ISBN 1-58113-908-X [contents] - [e2]Bing Liu, Soumen Chakrabarti:
Guest Editors' Introduction: Special Section on Mining and Searching the Web. IEEE Trans. Knowl. Data Eng. 16(1): 2-3 (2004) - [i1]Raghu Ramakrishnan, Rakesh Agrawal, Johann-Christoph Freytag, Toni Bollinger, Christopher W. Clifton, Saso Dzeroski, Jochen Hipp, Daniel A. Keim, Stefan Kramer, Hans-Peter Kriegel, Ulf Leser, Bing Liu, Heikki Mannila, Rosa Meo, Shinichi Morishita, Raymond T. Ng, Jian Pei, Prabhakar Raghavan, Myra Spiliopoulou, Jaideep Srivastava, Vicenç Torra:
Data Mining: The Next Generation. Perspectives Workshop: Data Mining: The Next Generation 2004 - 2003
- [j11]Bing Liu, Yiming Ma, Ching Kian Wong, Philip S. Yu:
Scoring the Data Using Association Rules. Appl. Intell. 18(2): 119-135 (2003) - [c54]Robert L. Grossman, Pavan Kasturi, Donald Hamelberg, Bing Liu:
Experimental Studies of the Universal Chemical Key (UCK)Algorithm on the NCI Database of Chemical Compounds. CSB 2003: 244-250 - [c53]Bing Liu, Yang Dai, Xiaoli Li, Wee Sun Lee, Philip S. Yu:
Building Text Classifiers Using Positive and Unlabeled Examples. ICDM 2003: 179-188 - [c52]Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Schaller:
Detecting Patterns of Change Using Enhanced Parallel Coordinates Visualization. ICDM 2003: 747- - [c51]Wee Sun Lee, Bing Liu:
Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression. ICML 2003: 448-455 - [c50]Lan Yi, Bing Liu:
Web Page Cleaning for Web Mining through Feature Weighting. IJCAI 2003: 43-50 - [c49]Xiaoli Li, Bing Liu:
Learning to Classify Texts Using Positive and Unlabeled Data. IJCAI 2003: 587-594 - [c48]Lan Yi, Bing Liu, Xiaoli Li:
Eliminating noisy information in Web pages for data mining. KDD 2003: 296-305 - [c47]Bing Liu, Robert L. Grossman, Yanhong Zhai:
Mining data records in Web pages. KDD 2003: 601-606 - [c46]Bing Liu, Chee Wee Chin, Hwee Tou Ng:
Mining topic-specific concepts and definitions on the web. WWW 2003: 251-260 - 2002
- [j10]Chidanand Apté, Bing Liu, Edwin P. D. Pednault, Padhraic Smyth:
Business applications of data mining. Commun. ACM 45(8): 49-53 (2002) - [j9]Isabel F. Cruz, Ashfaq A. Khokhar, Bing Liu, A. Prasad Sistla, Ouri Wolfson, Clement T. Yu:
Research Activities in Database Management and Information Retrieval at the University of Illinois at Chicago. SIGMOD Rec. 31(3): 103-108 (2002) - [c45]Xiaoli Li, Tong-Heng Phang, Minqing Hu, Bing Liu:
Using micro information units for internet search. CIKM 2002: 566-573 - [c44]Bing Liu, Jing Liu:
Multivariate Time Series Prediction via Temporal Classification. ICDE 2002: 268 - [c43]Gao Cong, Bing Liu:
Speed-up Iterative Frequent Itemset Mining with Constraint Changes. ICDM 2002: 107-114 - [c42]Bing Liu, Wee Sun Lee, Philip S. Yu, Xiaoli Li:
Partially Supervised Classification of Text Documents. ICML 2002: 387-394 - [c41]Alexander Tuzhilin, Bing Liu:
Querying multiple sets of discovered rules. KDD 2002: 52-60 - [c40]Haoran Wu, Tong-Heng Phang, Bing Liu, Xiaoli Li:
A refinement approach to handling model misfit in text categorization. KDD 2002: 207-216 - [c39]Gao Cong, Lan Yi, Bing Liu, Ke Wang:
Discovering Frequent Substructures from Hierarchical Semi-structured Data. SDM 2002: 175-192 - [c38]Bing Liu, Kaidi Zhao, Lan Yi:
Visualizing web site comparisons. WWW 2002: 693-703 - [e1]Ming-Shan Cheng, Philip S. Yu, Bing Liu:
Advances in Knowledge Discovery and Data Mining, 6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002, Proceedings. Lecture Notes in Computer Science 2336, Springer 2002, ISBN 3-540-43704-5 [contents] - 2001
- [c37]Baohua Gu, Bing Liu, Feifang Hu, Huan Liu:
Efficiently Determine the Starting Sample Size for Progressive Sampling. DMKD 2001 - [c36]Baohua Gu, Bing Liu, Feifang Hu, Huan Liu:
Efficiently Determining the Starting Sample Size for Progressive Sampling. ECML 2001: 192-202 - [c35]Bing Liu, Yiming Ma, Ronnie Lee:
Analyzing the Interestingness of Association Rules from the Temporal Dimension. ICDM 2001: 377-384 - [c34]Bing Liu, Yiming Ma, Philip S. Yu:
Discovering unexpected information from your competitors' web sites. KDD 2001: 144-153 - [c33]Bing Liu, Wynne Hsu, Yiming Ma:
Identifying non-actionable association rules. KDD 2001: 329-334 - [c32]Bing Liu, Wynne Hsu, Yiming Ma:
Discovering the set of fundamental rule changes. KDD 2001: 335-340 - [c31]Shu Chen, Bing Liu:
Generating Classification Rules According to User's Existing Knowledge. SDM 2001: 1-15 - 2000
- [j8]Wynne Hsu, Bing Liu:
Conceptual design: issues and challenges. Comput. Aided Des. 32(14): 849-850 (2000) - [j7]Bing Liu, Wynne Hsu, Shu Chen, Yiming Ma:
Analyzing the Subjective Interestingness of Association Rules. IEEE Intell. Syst. 15(5): 47-55 (2000) - [j6]Yiming Ma, Bing Liu, Ching Kian Wong:
Web for Data Mining: Organizing and Interpreting the Discovered Rules using the Web. SIGKDD Explor. 2(1): 16-23 (2000) - [c30]Bing Liu, Minqing Hu, Wynne Hsu:
Intuitive Representation of Decision Trees Using General Rules and Exceptions. AAAI/IAAI 2000: 615-620 - [c29]Bing Liu, Yiyuan Xia, Philip S. Yu:
Clustering Through Decision Tree Construction. CIKM 2000: 20-29 - [c28]Bing Liu, Yiming Ma, Ching Kian Wong:
Web for Data Mining Applications. COMPSAC 2000: 465-466 - [c27]Bing Liu, Wynne Hsu, Heng-Siew Han, Yiyuan Xia:
Mining Changes for Real-Life Applications. DaWaK 2000: 337-346 - [c26]Bing Liu, Minqing Hu, Wynne Hsu:
Multi-level organization and summarization of the discovered rules. KDD 2000: 208-217 - [c25]Wynne Hsu, Mong-Li Lee, Bing Liu, Tok Wang Ling:
Exploration mining in diabetic patients databases: findings and conclusions. KDD 2000: 430-436 - [c24]Yiming Ma, Bing Liu, Ching Kian Wong, Philip S. Yu, Shuik Ming Lee:
Targeting the right students using data mining. KDD 2000: 457-464 - [c23]Bing Liu, Yiming Ma, Ching Kian Wong:
Improving an Association Rule Based Classifier. PKDD 2000: 504-509
1990 – 1999
- 1999
- [j5]Bing Liu, Wynne Hsu, Lai-Fun Mun, Hing-Yan Lee:
Finding Interesting Patterns Using User Expectations. IEEE Trans. Knowl. Data Eng. 11(6): 817-832 (1999) - [c22]Ke Wang, Chu Xu, Bing Liu:
Clustering Transactions Using Large Items. CIKM 1999: 483-490 - [c21]Bing Liu, Wynne Hsu, Yiming Ma:
Pruning and Summarizing the Discovered Associations. KDD 1999: 125-134 - [c20]Bing Liu, Wynne Hsu, Yiming Ma:
Mining Association Rules with Multiple Minimum Supports. KDD 1999: 337-341 - [c19]Bing Liu, Wynne Hsu, Yiming Ma, Shu Chen:
Mining Interesting Knowledge Using DM-II. KDD 1999: 430-434 - [c18]Bing Liu, Wynne Hsu, Ke Wang, Shu Chen:
Visually Aided Exploration of Interesting Association Rules. PAKDD 1999: 380-389 - 1998
- [c17]Bing Liu, Wynne Hsu, Yiming Ma:
Integrating Classification and Association Rule Mining. KDD 1998: 80-86 - [c16]Ke Wang, Soon Hock William Tay, Bing Liu:
Interestingness-Based Interval Merger for Numeric Association Rules. KDD 1998: 121-128 - [c15]Bing Liu, Ke Wang, Lai-Fun Mun, Xin-Zhi Qi:
Using Decision Tree Induction for Discovering Holes in Data. PRICAI 1998: 182-193 - [c14]Ke Wang, Bing Liu:
Concurrent Discretization of Multiple Attributes. PRICAI 1998: 250-259 - 1997
- [j4]Bing Liu:
Route finding by using knowledge about the road network. IEEE Trans. Syst. Man Cybern. Part A 27(4): 436-448 (1997) - [c13]Bing Liu, Liang-Ping Ku, Wynne Hsu:
Discovering Interesting Holes in Data. IJCAI (2) 1997: 930-935 - [c12]Bing Liu, Wynne Hsu, Shu Chen:
Using General Impressions to Analyze Discovered Classification Rules. KDD 1997: 31-36 - [c11]Joxan Jaffar, Bing Liu, Roland H. C. Yap:
Forward and Backward Chaining in Constraint Programming (Abstract). LPNMR 1997: 1 - 1996
- [c10]Bing Liu, Wynne Hsu:
Post-Analysis of Learned Rules. AAAI/IAAI, Vol. 1 1996: 828-834 - [c9]Bing Liu, Joxan Jaffar:
Using Constraints to Model Disjunctions in Rule-Based Reasoning. AAAI/IAAI, Vol. 2 1996: 1248-1255 - [c8]Bing Liu:
Intelligent Route Finding: Combining Knowledge and Cases and an Efficient Search Algorithm. ECAI 1996: 380-384 - [c7]Bing Liu:
An Improved Generic Arc Consistency Algorithm and Its Specializations. PRICAI 1996: 264-275 - 1995
- [c6]Bing Liu:
A Refinement Approach to Search and Constraint Satisfaction Problem. IEA/AIE 1995: 233-240 - [c5]Bing Liu:
Intelligent Air Travel and Tourist Information Systems. IEA/AIE 1995: 603-610 - [c4]Bing Liu:
Using Knowledge to Isolate Search in Route Finding. IJCAI 1995: 119-125 - [c3]Bing Liu:
Increasing Functional Constraints Need to Be Checked Only Once. IJCAI (1) 1995: 586-591 - 1994
- [j3]Bing Liu, Siew-Hwee Choo, Shee-Ling Lok, Sing-Meng Leong, Soo-Chee Lee, Foong-Ping Poon, Hwee-Har Tan:
Finding the Shortest Route Using Cases, Knowledge, and Djikstra's Algorithm. IEEE Expert 9(5): 7-11 (1994) - [c2]Bing Liu:
Integrating Rules and Constraints. ICTAI 1994: 676-679 - 1992
- [j2]Bing Liu, Yuen-Wah Ku:
ConstraintLisp: an object-oriented constraint programming language. ACM SIGPLAN Notices 27(11): 17-26 (1992)
1980 – 1989
- 1988
- [j1]Bing Liu:
Scheduling via reinforcement. Artif. Intell. Eng. 3(2): 76-85 (1988) - [c1]Bing Liu:
A Reinforcement Approach to Schelduling. ECAI 1988: 580-585
Coauthor Index
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