Bing Liu - RankMe

427 papers A* 119A 25B 31C 3Misc 2Journal 141Unranked 84

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Continual Out-of-Distribution Detection with Analytic Neural Collapse. AAAI Saleh Momeni, Changnan Xiao, Bing Liu
2025	J	`jnl`	A Novel Key Point Based MLCS Algorithm for Big Sequences Mining. IEEE Trans. Knowl. Data Eng. Yanni Li, Bing Liu, Tihua Duan, Zhi Wang, Hui Li, Jiangtao Cui
2025	A*	`conf`	A Novel Key Point based MLCS Algorithm for Big Sequences Mining (Extended Abstract). ICDE Yanni Li, Bing Liu, Tihua Duan, Zhi Wang, Hui Li, Jiangtao Cui
2025	J	`jnl`	Achieving Upper Bound Accuracy of Joint Training in Continual Learning. CoRR Saleh Momeni, Bing Liu
2025	J	`jnl`	AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection. CoRR Saleh Momeni, Changnan Xiao, Bing Liu
2025	B	`conf`	Continual Learning Using Only Large Language Model Prompting. COLING Jiabao Qiu, Zixuan Ke, Bing Liu
2025	A*	`conf`	Continual Learning Using a Kernel-Based Method Over Foundation Models. AAAI Saleh Momeni, Sahisnu Mazumder, Bing Liu
2025	A*	`conf`	Generalizing Reasoning Problems to Longer Lengths. ICLR Changnan Xiao, Bing Liu
2025	B	`conf`	In-context Continual Learning Assisted by an External Continual Learner. COLING Saleh Momeni, Sahisnu Mazumder, Zixuan Ke, Bing Liu
2025	A	`conf`	Learning After Model Deployment. ECAI Derda Kaymak, Gyuhak Kim, Tomoya Kaichi, Tatsuya Konishi, Bing Liu
2025	J	`jnl`	Learning After Model Deployment. CoRR Derda Kaymak, Gyuhak Kim, Tomoya Kaichi, Tatsuya Konishi, Bing Liu
2025	J	`jnl`	Open-world continual learning: Unifying novelty detection and continual learning. Artif. Intell. Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu
2025	J	`jnl`	Semantic-Aware Architecture Design for a Lifelong Swarm Metaverse. IEEE Internet Things J. Ning Wang, Yinxuan Wu, Beatriz Lorenzo, Bing Liu
2024	J	`jnl`	A Theory for Length Generalization in Learning to Reason. CoRR Changnan Xiao, Bing Liu
2024	A*	`conf`	Class Incremental Learning via Likelihood Ratio Based Task Prediction. ICLR Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo, Bing Liu
2024	J	`jnl`	Continual Learning Using Only Large Language Model Prompting. CoRR Jiabao Qiu, Zixuan Ke, Bing Liu
2024	J	`jnl`	Continual Learning Using a Kernel-Based Method Over Foundation Models. CoRR Saleh Momeni, Sahisnu Mazumder, Bing Liu
2024	—	`conf`	Disentangled Representations for Continual Learning: Overcoming Forgetting and Facilitating Knowledge Transfer. ECML/PKDD (4) Zhaopeng Xu, Qi Qin, Bing Liu, Dongyan Zhao
2024	J	`jnl`	In-context Continual Learning Assisted by an External Continual Learner. CoRR Saleh Momeni, Sahisnu Mazumder, Zixuan Ke, Bing Liu
2024	—	`conf`	Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation. LREC/COLING Yue Zhou, Barbara Di Eugenio, Brian D. Ziebart, Lisa K. Sharp, Bing Liu, Nikolaos Agadakos
2024	J	`jnl`	Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation. CoRR Yue Zhou, Barbara Di Eugenio, Brian D. Ziebart, Lisa K. Sharp, Bing Liu, Nikolaos Agadakos
2024	Misc	`conf`	Multi-Modal Continual Pre-Training For Audio Encoders. ICASSP Gyuhak Kim, Ho-Hsiang Wu, Luca Bondi, Bing Liu
2024	J	`jnl`	One General Teacher for Multi-Data Multi-Task: A New Knowledge Distillation Framework for Discourse Relation Analysis. IEEE ACM Trans. Audio Speech Lang. Process. Congcong Jiang, Tieyun Qian, Bing Liu
2024	J	`jnl`	Safety through Permissibility: Shield Construction for Fast and Safe Reinforcement Learning. CoRR Alexander Politowicz, Sahisnu Mazumder, Bing Liu
2024	—	`conf`	Sentiment Analysis in the Era of Large Language Models: A Reality Check. NAACL-HLT (Findings) Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan, Lidong Bing
2024	J	`jnl`	Towards Enhancing Health Coaching Dialogue in Low-Resource Settings. CoRR Yue Zhou, Barbara Di Eugenio, Brian D. Ziebart, Lisa K. Sharp, Bing Liu, Ben S. Gerber, Nikolaos Agadakos, Shweta Yadav
2023	—	`conf`	A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution. ACL (Findings) Neeraj Varshney, Himanshu Gupta, Eric Robertson, Bing Liu, Chitta Baral
2023	J	`jnl`	A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution. CoRR Neeraj Varshney, Himanshu Gupta, Eric Robertson, Bing Liu, Chitta Baral
2023	J	`jnl`	AI Autonomy: Self-initiated Open-world Continual Learning and Adaptation. AI Mag. Bing Liu, Sahisnu Mazumder, Eric Robertson, Scott Grigsby
2023	J	`jnl`	Adapting a Language Model While Preserving its General Knowledge. CoRR Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu
2023	—	`conf`	Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast. ACL (1) Yiduo Guo, Yaobo Liang, Dongyan Zhao, Bing Liu, Nan Duan
2023	J	`jnl`	Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast. CoRR Yiduo Guo, Yaobo Liang, Dongyan Zhao, Bing Liu, Nan Duan
2023	J	`jnl`	Class Incremental Learning via Likelihood Ratio Based Task Prediction. CoRR Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo, Bing Liu
2023	—	`conf`	Class-Incremental Learning based on Label Generation. ACL (2) Yijia Shao, Yiduo Guo, Dongyan Zhao, Bing Liu
2023	J	`jnl`	Class-Incremental Learning based on Label Generation. CoRR Yijia Shao, Yiduo Guo, Dongyan Zhao, Bing Liu
2023	J	`jnl`	Conditions for Length Generalization in Learning Reasoning Skills. CoRR Changnan Xiao, Bing Liu
2023	J	`jnl`	Continual Learning of Language Models. CoRR Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu
2023	A*	`conf`	Continual Pre-training of Language Models. ICLR Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu
2023	A*	`conf`	Dealing with Cross-Task Class Discrimination in Online Continual Learning. CVPR Yiduo Guo, Bing Liu, Dongyan Zhao
2023	J	`jnl`	Dealing with Cross-Task Class Discrimination in Online Continual Learning. CoRR Yiduo Guo, Bing Liu, Dongyan Zhao
2023	A*	`conf`	Learnability and Algorithm for Continual Learning. ICML Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu
2023	J	`jnl`	Learnability and Algorithm for Continual Learning. CoRR Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu
2023	J	`jnl`	Open-World Continual Learning: Unifying Novelty Detection and Continual Learning. CoRR Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu
2023	A*	`conf`	Parameter-Level Soft-Masking for Continual Learning. ICML Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu
2023	J	`jnl`	Parameter-Level Soft-Masking for Continual Learning. CoRR Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu
2023	J	`jnl`	Sentiment Analysis in the Era of Large Language Models: A Reality Check. CoRR Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan, Lidong Bing
2023	—	`conf`	Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks. EMNLP (Findings) Zixuan Ke, Bing Liu, Wenhan Xiong, Asli Celikyilmaz, Haoran Li
2023	J	`jnl`	Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks. CoRR Zixuan Ke, Bing Liu, Wenhan Xiong, Asli Celikyilmaz, Haoran Li
2022	—	`conf`	A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. CoLLAs Gyuhak Kim, Bing Liu, Zixuan Ke
2022	J	`jnl`	A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. CoRR Gyuhak Kim, Zixuan Ke, Bing Liu
2022	A*	`conf`	A Theoretical Study on Solving Continual Learning. NeurIPS Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu
2022	J	`jnl`	A Theoretical Study on Solving Continual Learning. CoRR Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu
2022	J	`jnl`	AI Autonomy: Self-Initiation, Adaptation and Continual Learning. CoRR Bing Liu, Sahisnu Mazumder, Eric Robertson, Scott Grigsby
2022	A*	`conf`	Adapting a Language Model While Preserving its General Knowledge. EMNLP Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu
2022	A*	`conf`	Adaptive Orthogonal Projection for Batch and Online Continual Learning. AAAI Yiduo Guo, Wenpeng Hu, Dongyan Zhao, Bing Liu
2022	A*	`conf`	Beyond Opinion Mining: Summarizing Opinions of Customer Reviews. SIGIR Reinald Kim Amplayo, Arthur Brazinskas, Yoshi Suhara, Xiaolan Wang, Bing Liu
2022	J	`jnl`	Beyond Opinion Mining: Summarizing Opinions of Customer Reviews. CoRR Reinald Kim Amplayo, Arthur Brazinskas, Yoshi Suhara, Xiaolan Wang, Bing Liu
2022	—	`conf`	CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection. ECML/PKDD (4) Mengyu Wang, Yijia Shao, Haowei Lin, Wenpeng Hu, Bing Liu
2022	—	`conf`	Continual Learning Based on OOD Detection and Task Masking. CVPR Workshops Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu
2022	J	`jnl`	Continual Learning Based on OOD Detection and Task Masking. CoRR Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu
2022	A*	`conf`	Continual Learning Dialogue Systems - Learning during Conversation. SIGIR Sahisnu Mazumder, Bing Liu
2022	J	`jnl`	Continual Learning of Natural Language Processing Tasks: A Survey. CoRR Zixuan Ke, Bing Liu
2022	A*	`conf`	Continual Training of Language Models for Few-Shot Learning. EMNLP Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu
2022	J	`jnl`	Continual Training of Language Models for Few-Shot Learning. CoRR Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu
2022	J	`jnl`	ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering. IEEE Trans. Knowl. Data Eng. Yanni Li, Hui Li, Zhi Wang, Bing Liu, Jiangtao Cui, Hang Fei
2022	J	`jnl`	Exploit Feature and Relation Hierarchy for Relation Extraction. IEEE ACM Trans. Audio Speech Lang. Process. Mi Zhang, Tieyun Qian, Bing Liu
2022	—	`conf`	Knowledge Distillation for Discourse Relation Analysis. WWW (Companion Volume) Congcong Jiang, Tieyun Qian, Bing Liu
2022	J	`jnl`	Knowledge-Guided Exploration in Deep Reinforcement Learning. CoRR Sahisnu Mazumder, Bing Liu, Shuai Wang, Yingxuan Zhu, Xiaotian Yin, Lifeng Liu, Jian Li
2022	J	`jnl`	Lifelong and Continual Learning Dialogue Systems. CoRR Sahisnu Mazumder, Bing Liu
2022	A*	`conf`	Online Continual Learning through Mutual Information Maximization. ICML Yiduo Guo, Bing Liu, Dongyan Zhao
2022	—	`conf`	Open Set Recognition Via Augmentation-Based Similarity Learning. CoLLAs Sepideh Esmaeilpour, Lei Shu, Bing Liu
2022	J	`jnl`	Open-set Recognition via Augmentation-based Similarity Learning. CoRR Sepideh Esmaeilpour, Lei Shu, Bing Liu
2022	—	`conf`	Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning. PAKDD (1) Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu
2022	A*	`conf`	Semantic Novelty Detection and Characterization in Factual Text Involving Named Entities. EMNLP Nianzu Ma, Sahisnu Mazumder, Alexander Politowicz, Bing Liu, Eric Robertson, Scott Grigsby
2022	J	`jnl`	Semantic Novelty Detection and Characterization in Factual Text Involving Named Entities. CoRR Nianzu Ma, Sahisnu Mazumder, Alexander Politowicz, Bing Liu, Eric Robertson, Scott Grigsby
2022	B	`conf`	Towards Enhancing Health Coaching Dialogue in Low-Resource Settings. COLING Yue Zhou, Barbara Di Eugenio, Brian D. Ziebart, Lisa K. Sharp, Bing Liu, Ben S. Gerber, Nikolaos Agadakos, Shweta Yadav
2022	J	`jnl`	Zero-Shot Aspect-Based Sentiment Analysis. CoRR Lei Shu, Hu Xu, Bing Liu, Jiahua Chen
2022	A*	`conf`	Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP. AAAI Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu
2021	J	`jnl`	3E-LDA: Three Enhancements to Linear Discriminant Analysis. ACM Trans. Knowl. Discov. Data Yanni Li, Bing Liu, Yongbo Yu, Hui Li, Jiacan Sun, Jiangtao Cui
2021	A*	`conf`	Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. NeurIPS Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu
2021	J	`jnl`	Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. CoRR Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu
2021	—	`conf`	Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. NAACL-HLT Zixuan Ke, Hu Xu, Bing Liu
2021	J	`jnl`	Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. CoRR Zixuan Ke, Hu Xu, Bing Liu
2021	J	`jnl`	Affect Recognition for Multimodal Natural Language Processing. Cogn. Comput. Soujanya Poria, Yew-Soon Ong, Bing Liu, Lidong Bing
2021	A*	`conf`	BNS: Building Network Structures Dynamically for Continual Learning. NeurIPS Qi Qin, Wenpeng Hu, Han Peng, Dongyan Zhao, Bing Liu
2021	—	`conf`	CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. EMNLP (1) Zixuan Ke, Bing Liu, Hu Xu, Lei Shu
2021	J	`jnl`	CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. CoRR Zixuan Ke, Bing Liu, Hu Xu, Lei Shu
2021	A*	`conf`	Continual Learning by Using Information of Each Class Holistically. AAAI Wenpeng Hu, Qi Qin, Mengyu Wang, Jinwen Ma, Bing Liu
2021	J	`jnl`	Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks. CoRR Zixuan Ke, Bing Liu, Xingchang Huang
2021	J	`jnl`	Continual Learning with Knowledge Transfer for Sentiment Classification. CoRR Zixuan Ke, Bing Liu, Hao Wang, Lei Shu
2021	J	`jnl`	Defeating Catastrophic Forgetting via Enhanced Orthogonal Weights Modification. CoRR Yanni Li, Bing Liu, Kaicheng Yao, Xiaoli Kou, Pengfan Lv, Yueshen Xu, Jiangtao Cui
2021	J	`jnl`	Detecting Changed-Hands Online Review Accounts. CoRR Geli Fei, Shuai Wang, Bing Liu, Leman Akoglu
2021	—	`conf`	Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon. ACL/IJCNLP (Findings) Shuai Wang, Guangyi Lv, Sahisnu Mazumder, Bing Liu
2021	A*	`conf`	ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering (Extended Abstract). ICDE Yanni Li, Hui Li, Zhi Wang, Bing Liu, Jiangtao Cui, Hang Fei
2021	A*	`conf`	Lifelong and Continual Learning Dialogue Systems: Learning during Conversation. AAAI Bing Liu, Sahisnu Mazumder
2021	A*	`conf`	Predictive Adversarial Learning from Positive and Unlabeled Data. AAAI Wenpeng Hu, Ran Le, Bing Liu, Feng Ji, Jinwen Ma, Dongyan Zhao, Rui Yan
2021	J	`jnl`	Self-Initiated Open World Learning for Autonomous AI Agents. CoRR Bing Liu, Eric Robertson, Scott Grigsby, Sahisnu Mazumder
2021	—	`conf`	Semantic Novelty Detection in Natural Language Descriptions. EMNLP (1) Nianzu Ma, Alexander Politowicz, Sahisnu Mazumder, Jiahua Chen, Bing Liu, Eric Robertson, Scott Grigsby
2021	B	`conf`	Summarizing Behavioral Change Goals from SMS Exchanges to Support Health Coaches. SIGDIAL Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Bing Liu, Ben S. Gerber, Lisa K. Sharp
2021	J	`jnl`	Zero-Shot Open Set Detection by Extending CLIP. CoRR Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu
2020	J	`jnl`	A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining. CoRR Jiahua Chen, Shuai Wang, Sahisnu Mazumder, Bing Liu
2020	—	`conf`	A Knowledge-driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining. EMNLP (Findings) Jiahua Chen, Shuai Wang, Sahisnu Mazumder, Bing Liu
2020	J	`jnl`	AGTR: Adversarial Generation of Target Review for Rating Prediction. Data Sci. Eng. Huilin Yu, Tieyun Qian, Yile Liang, Bing Liu
2020	—	`conf`	Adversarial Generation of Target Review for Rating Prediction. DASFAA (2) Huilin Yu, Tieyun Qian, Yile Liang, Bing Liu
2020	B	`conf`	Bayes-enhanced Lifelong Attention Networks for Sentiment Classification. COLING Hao Wang, Shuai Wang, Sahisnu Mazumder, Bing Liu, Yan Yang, Tianrui Li
2020	A*	`conf`	Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks. NeurIPS Zixuan Ke, Bing Liu, Xingchang Huang
2020	—	`conf`	Continual Learning with Knowledge Transfer for Sentiment Classification. ECML/PKDD (3) Zixuan Ke, Bing Liu, Hao Wang, Lei Shu
2020	—	`conf`	Controllable Text Generation with Focused Variation. EMNLP (Findings) Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gökhan Tür, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino
2020	J	`jnl`	Controllable Text Generation with Focused Variation. CoRR Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gökhan Tür, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino
2020	J	`jnl`	Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon. CoRR Shuai Wang, Guangyi Lv, Sahisnu Mazumder, Bing Liu
2020	—	`conf`	DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis. EMNLP (Findings) Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2020	J	`jnl`	DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis. CoRR Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2020	A*	`conf`	Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification. ACL Nianzu Ma, Sahisnu Mazumder, Hao Wang, Bing Liu
2020	A*	`conf`	Feature Projection for Improved Text Classification. ACL Qi Qin, Wenpeng Hu, Bing Liu
2020	J	`jnl`	GMC: Graph-Based Multi-View Clustering. IEEE Trans. Knowl. Data Eng. Hao Wang, Yan Yang, Bing Liu
2020	Misc	`conf`	Goal Summarization for Human-Human Health Coaching Dialogues. FLAIRS Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Bing Liu, Ben S. Gerber, Lisa K. Sharp
2020	A*	`conf`	HRN: A Holistic Approach to One Class Learning. NeurIPS Wenpeng Hu, Mengyu Wang, Qi Qin, Jinwen Ma, Bing Liu
2020	B	`conf`	Human-Human Health Coaching via Text Messages: Corpus, Annotation, and Analysis. SIGdial Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Aiswarya Baiju, Bing Liu, Ben S. Gerber, Lisa K. Sharp, Nadia Nabulsi, Mary Smart
2020	J	`jnl`	Lifelong Learning Dialogue Systems: Chatbots that Self-Learn On the Job. CoRR Bing Liu, Sahisnu Mazumder
2020	J	`jnl`	Similarities and Evolutionary Relationships of COVID-19 and Related Viruses. CoRR Yanni Li, Bing Liu, Jiangtao Cui, Zhi Wang, Yulong Shen, Yueshen Xu, Kaicheng Yao
2020	J	`jnl`	Text Classification with Novelty Detection. CoRR Qi Qin, Wenpeng Hu, Bing Liu
2020	B	`conf`	Transformation of Dense and Sparse Text Representations. COLING Wenpeng Hu, Mengyu Wang, Bing Liu, Feng Ji, Jinwen Ma, Dongyan Zhao
2020	B	`conf`	Translation vs. Dialogue: A Comparative Analysis of Sequence-to-Sequence Modeling. COLING Wenpeng Hu, Ran Le, Bing Liu, Jinwen Ma, Dongyan Zhao, Rui Yan
2020	B	`conf`	Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. COLING Hu Xu, Lei Shu, Philip S. Yu, Bing Liu
2020	J	`jnl`	Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. CoRR Hu Xu, Lei Shu, Philip S. Yu, Bing Liu
2020	J	`jnl`	User Memory Reasoning for Conversational Recommendation. CoRR Hu Xu, Seungwhan Moon, Honglei Liu, Bing Liu, Pararth Shah, Bing Liu, Philip S. Yu
2020	—	`conf`	Using the Past Knowledge to Improve Sentiment Classification. EMNLP (Findings) Qi Qin, Wenpeng Hu, Bing Liu
2019	J	`jnl`	A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution. CoRR Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2019	J	`jnl`	A study of graph-based system for multi-view clustering. Knowl. Based Syst. Hao Wang, Yan Yang, Bing Liu, Hamido Fujita
2019	—	`conf`	BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. NAACL-HLT (1) Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2019	J	`jnl`	BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. CoRR Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2019	J	`jnl`	Building an Application Independent Natural Language Interface. CoRR Sahisnu Mazumder, Bing Liu, Shuai Wang, Sepideh Esmaeilpour
2019	J	`jnl`	Computational Intelligence for Affective Computing and Sentiment Analysis [Guest Editorial]. IEEE Comput. Intell. Mag. Erik Cambria, Soujanya Poria, Amir Hussain, Bing Liu
2019	J	`jnl`	Controlled CNN-based Sequence Labeling for Aspect Extraction. CoRR Lei Shu, Hu Xu, Bing Liu
2019	—	`conf`	DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. ACL (1) Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang
2019	J	`jnl`	DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. CoRR Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang
2019	—	`conf`	Disentangling Aspect and Opinion Words in Sentiment Analysis Using Lifelong PU Learning. NFMCP@PKDD/ECML Shuai Wang, Mianwei Zhou, Sahisnu Mazumder, Bing Liu, Yi Chang
2019	B	`conf`	Flexibly-Structured Model for Task-Oriented Dialogues. SIGdial Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür
2019	J	`jnl`	Flexibly-Structured Model for Task-Oriented Dialogues. CoRR Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür
2019	C	`conf`	Forward and Backward Knowledge Transfer for Sentiment Classification. ACML Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang
2019	J	`jnl`	Forward and Backward Knowledge Transfer for Sentiment Classification. CoRR Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang
2019	A*	`conf`	GSN: A Graph-Structured Network for Multi-Party Dialogues. IJCAI Wenpeng Hu, Zhangming Chan, Bing Liu, Dongyan Zhao, Jinwen Ma, Rui Yan
2019	J	`jnl`	GSN: A Graph-Structured Network for Multi-Party Dialogues. CoRR Wenpeng Hu, Zhangming Chan, Bing Liu, Dongyan Zhao, Jinwen Ma, Rui Yan
2019	J	`jnl`	Improving Aspect Term Extraction With Bidirectional Dependency Tree Representation. IEEE ACM Trans. Audio Speech Lang. Process. Huaishao Luo, Tianrui Li, Bing Liu, Bin Wang, Herwig Unger
2019	—	`conf`	Learning with Noisy Labels for Sentence-level Sentiment Classification. EMNLP/IJCNLP (1) Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li
2019	J	`jnl`	Learning with Noisy Labels for Sentence-level Sentiment Classification. CoRR Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li
2019	B	`conf`	Lifelong and Interactive Learning of Factual Knowledge in Dialogues. SIGdial Sahisnu Mazumder, Bing Liu, Shuai Wang, Nianzu Ma
2019	J	`jnl`	Lifelong and Interactive Learning of Factual Knowledge in Dialogues. CoRR Sahisnu Mazumder, Bing Liu, Shuai Wang, Nianzu Ma
2019	—	`conf`	Modeling Health Coaching Dialogues for Behavioral Goal Extraction. BIBM Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Bing Liu, Ben S. Gerber, Lisa K. Sharp
2019	—	`conf`	Modeling Multi-Action Policy for Task-Oriented Dialogues. EMNLP/IJCNLP (1) Lei Shu, Hu Xu, Bing Liu, Piero Molino
2019	J	`jnl`	Modeling Multi-Action Policy for Task-Oriented Dialogues. CoRR Lei Shu, Hu Xu, Bing Liu, Piero Molino
2019	A*	`conf`	Open-world Learning and Application to Product Classification. WWW Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2019	—	`conf`	Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation. ICLR (Poster) Wenpeng Hu, Zhou Lin, Bing Liu, Chongyang Tao, Zhengwei Tao, Jinwen Ma, Dongyan Zhao, Rui Yan
2019	J	`jnl`	Reconstruction of Hidden Representation for Robust Feature Extraction. ACM Trans. Intell. Syst. Technol. Zeng Yu, Tianrui Li, Ning Yu, Yi Pan, Hongmei Chen, Bing Liu
2019	J	`jnl`	Review Conversational Reading Comprehension. CoRR Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2019	—	`conf`	Sentiment Classification by Leveraging the Shared Knowledge from a Sequence of Domains. DASFAA (1) Guangyi Lv, Shuai Wang, Bing Liu, Enhong Chen, Kun Zhang
2019	A*	`conf`	Spectral Perturbation Meets Incomplete Multi-view Data. IJCAI Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou
2019	J	`jnl`	Spectral Perturbation Meets Incomplete Multi-view Data. CoRR Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou
2019	J	`jnl`	Transformation of Dense and Sparse Text Representations. CoRR Wenpeng Hu, Mengyu Wang, Bing Liu, Feng Ji, Haiqing Chen, Dongyan Zhao, Jinwen Ma, Rui Yan
2018	B	`conf`	An Attribute Enhanced Domain Adaptive Model for Cold-Start Spam Review Detection. COLING Zhenni You, Tieyun Qian, Bing Liu
2018	—	`conf`	Aspect-based Question Generation. ICLR (Workshop) Wenpeng Hu, Bing Liu, Jinwen Ma, Dongyan Zhao, Rui Yan
2018	—	`ch.`	Classification by Association Rule Analysis. Encyclopedia of Database Systems (2nd ed.) Bing Liu
2018	J	`jnl`	Cluster's Quality Evaluation and Selective Clustering Ensemble. ACM Trans. Knowl. Discov. Data Feijiang Li, Yuhua Qian, Jieting Wang, Chuangyin Dang, Bing Liu
2018	J	`jnl`	Contextual and Position-Aware Factorization Machines for Sentiment Classification. CoRR Shuai Wang, Mianwei Zhou, Geli Fei, Yi Chang, Bing Liu
2018	J	`jnl`	Deep Learning for Sentiment Analysis : A Survey. CoRR Lei Zhang, Shuai Wang, Bing Liu
2018	J	`jnl`	Deep learning for sentiment analysis: A survey. WIREs Data Mining Knowl. Discov. Lei Zhang, Shuai Wang, Bing Liu
2018	J	`jnl`	Disentangling Aspect and Opinion Words in Target-based Sentiment Analysis using Lifelong Learning. CoRR Shuai Wang, Mianwei Zhou, Sahisnu Mazumder, Bing Liu, Yi Chang
2018	—	`conf`	Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. ACL (2) Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2018	J	`jnl`	Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. CoRR Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2018	A*	`conf`	Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory. AAAI Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu
2018	—	`ed.`	IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018 IEEE BigData 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
2018	J	`jnl`	Improving Aspect Term Extraction with Bidirectional Dependency Tree Representation. CoRR Huaishao Luo, Tianrui Li, Bing Liu, Bin Wang, Herwig Unger
2018	J	`jnl`	Learning to Accept New Classes without Training. CoRR Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2018	A*	`conf`	Lifelong Domain Word Embedding via Meta-Learning. IJCAI Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2018	J	`jnl`	Lifelong Domain Word Embedding via Meta-Learning. CoRR Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2018	—	`conf`	Lifelong Learning Memory Networks for Aspect Sentiment Classification. IEEE BigData Shuai Wang, Guangyi Lv, Sahisnu Mazumder, Geli Fei, Bing Liu
2018	J	`jnl`	Lifelong Learning for Sentiment Classification. CoRR Zhiyuan Chen, Nianzu Ma, Bing Liu
2018	—	`book`	Lifelong Machine Learning, Second Edition Lifelong Machine Learning (2nd Ed.) Zhiyuan Chen, Bing Liu
2018	J	`jnl`	Local rough set: A solution to rough data analysis in big data. Int. J. Approx. Reason. Yuhua Qian, Xinyan Liang, Qi Wang, Jiye Liang, Bing Liu, Andrzej Skowron, Yiyu Yao, Jianmin Ma, Chuangyin Dang
2018	—	`ch.`	Opinion Mining. Encyclopedia of Database Systems (2nd ed.) Bing Liu
2018	—	`ch.`	Sentiment Analysis in Social Media, Aspect Extraction for. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Lei Zhang, Bing Liu
2018	—	`conf`	Target-Sensitive Memory Networks for Aspect Sentiment Classification. ACL (1) Shuai Wang, Sahisnu Mazumder, Bing Liu, Mianwei Zhou, Yi Chang
2018	—	`conf`	Towards Building a Virtual Assistant Health Coach. ICHI Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Bing Liu, Ben S. Gerber, Lisa K. Sharp, Rafe Davis, Aiswarya Baiju
2018	J	`jnl`	Towards a Continuous Knowledge Learning Engine for Chatbots. CoRR Sahisnu Mazumder, Nianzu Ma, Bing Liu
2018	J	`jnl`	Unseen Class Discovery in Open-world Classification. CoRR Lei Shu, Hu Xu, Bing Liu
2017	A*	`conf`	Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews. KDD Konstantin Bauman, Bing Liu, Alexander Tuzhilin
2017	A*	`conf`	Bimodal Distribution and Co-Bursting in Review Spam Detection. WWW Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao
2017	A*	`conf`	Context-aware Path Ranking for Knowledge Base Completion. IJCAI Sahisnu Mazumder, Bing Liu
2017	J	`jnl`	Context-aware Path Ranking for Knowledge Base Completion. CoRR Sahisnu Mazumder, Bing Liu
2017	A*	`conf`	DOC: Deep Open Classification of Text Documents. EMNLP Lei Shu, Hu Xu, Bing Liu
2017	J	`jnl`	DOC: Deep Open Classification of Text Documents. CoRR Lei Shu, Hu Xu, Bing Liu
2017	J	`jnl`	Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory. CoRR Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu
2017	J	`jnl`	Learning Spatiotemporal-Aware Representation for POI Recommendation. CoRR Bei Liu, Tieyun Qian, Bing Liu, Liang Hong, Zhenni You, Yuxiang Li
2017	—	`conf`	Lifelong Learning CRF for Supervised Aspect Extraction. ACL (2) Lei Shu, Hu Xu, Bing Liu
2017	J	`jnl`	Lifelong Learning CRF for Supervised Aspect Extraction. CoRR Lei Shu, Hu Xu, Bing Liu
2017	J	`jnl`	Lifelong machine learning: a paradigm for continuous learning. Frontiers Comput. Sci. Bing Liu
2017	J	`jnl`	Reconstruction of Hidden Representation for Robust Feature Extraction. CoRR Zeng Yu, Tianrui Li, Ning Yu, Yi Pan, Hongmei Chen, Bing Liu
2017	—	`ch.`	Sentiment Analysis and Opinion Mining. Encyclopedia of Machine Learning and Data Mining Lei Zhang, Bing Liu
2017	—	`ch.`	Topic Models for NLP Applications. Encyclopedia of Machine Learning and Data Mining Zhiyuan Chen, Bing Liu
2016	J	`jnl`	Automated rule selection for opinion target extraction. Knowl. Based Syst. Qian Liu, Zhiqiang Gao, Bing Liu, Yuanlin Zhang
2016	—	`conf`	Breaking the Closed World Assumption in Text Classification. HLT-NAACL Geli Fei, Bing Liu
2016	J	`jnl`	Combining local and global information for product feature extraction in opinion documents. Inf. Process. Lett. Liang Yang, Bing Liu, Hongfei Lin, Yuan Lin
2016	—	`conf`	Discovering Correspondence of Sentiment Words and Aspects. CICLing (2) Geli Fei, Zhiyuan (Brett) Chen, Arjun Mukherjee, Bing Liu
2016	A*	`conf`	Identifying Search Keywords for Finding Relevant Social Media Posts. AAAI Shuai Wang, Zhiyuan Chen, Bing Liu, Sherry Emery
2016	A*	`conf`	Improving Opinion Aspect Extraction Using Semantic Similarity and Aspect Associations. AAAI Qian Liu, Bing Liu, Yuanlin Zhang, Doo Soon Kim, Zhiqiang Gao
2016	A*	`conf`	Learning Cumulatively to Become More Knowledgeable. KDD Geli Fei, Shuai Wang, Bing Liu
2016	—	`book`	Lifelong Machine Learning Zhiyuan Chen, Bing Liu
2016	A*	`conf`	Lifelong Machine Learning and Computer Reading the Web. KDD Zhiyuan Chen, Estevam R. Hruschka Jr., Bing Liu
2016	A*	`conf`	Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets. EMNLP Lei Shu, Bing Liu, Hu Xu, Annice Kim
2016	A*	`conf`	Mining Aspect-Specific Opinion using a Holistic Lifelong Topic Model. WWW Shuai Wang, Zhiyuan Chen, Bing Liu
2016	J	`jnl`	Modeling Review Spam Using Temporal Patterns and Co-bursting Behaviors. CoRR Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao
2016	—	`conf`	Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews. CBRecSys@RecSys Konstantin Bauman, Bing Liu, Alexander Tuzhilin
2016	J	`jnl`	Space Structure and Clustering of Categorical Data. IEEE Trans. Neural Networks Learn. Syst. Yuhua Qian, Feijiang Li, Jiye Liang, Bing Liu, Chuangyin Dang
2016	J	`jnl`	Supervised Opinion Aspect Extraction by Exploiting Past Extraction Results. CoRR Lei Shu, Bing Liu, Hu Xu, Annice Kim
2016	A*	`conf`	Targeted Topic Modeling for Focused Analysis. KDD Shuai Wang, Zhiyuan Chen, Geli Fei, Bing Liu, Sherry Emery
2016	J	`jnl`	Tri-Training for authorship attribution with limited training data: a comprehensive study. Neurocomputing Tieyun Qian, Bing Liu, Li Chen, Zhiyong Peng, Ming Zhong, Guoliang He, Xuhui Li, Gang Xu
2015	A	`conf`	Analyzing and Detecting Opinion Spam on a Large-scale Dataset via Temporal and Spatial Patterns. ICWSM Huayi Li, Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Jidong Shao
2015	A*	`conf`	Automated Rule Selection for Aspect Extraction in Opinion Mining. IJCAI Qian Liu, Zhiqiang Gao, Bing Liu, Yuanlin Zhang
2015	J	`jnl`	Diversionary Comments under Blog Posts. ACM Trans. Web Jing Wang, Clement T. Yu, Philip S. Yu, Bing Liu, Weiyi Meng
2015	A*	`conf`	Extracting Verb Expressions Implying Negative Opinions. AAAI Huayi Li, Arjun Mukherjee, Jianfeng Si, Bing Liu
2015	J	`jnl`	Fusing Monotonic Decision Trees. IEEE Trans. Knowl. Data Eng. Yuhua Qian, Hang Xu, Jiye Liang, Bing Liu, Jieting Wang
2015	—	`conf`	Lifelong Learning for Sentiment Classification. ACL (2) Zhiyuan Chen, Nianzu Ma, Bing Liu
2015	J	`jnl`	Review Authorship Attribution in a Similarity Space. J. Comput. Sci. Technol. Tieyun Qian, Bing Liu, Qing Li, Jianfeng Si
2015	—	`book`	Sentiment Analysis - Mining Opinions, Sentiments, and Emotions. Bing Liu
2015	—	`conf`	Sentiment analysis, lifelong learning, and intelligent personal assistants. TAAI Bing Liu
2015	A*	`conf`	Social Media Text Classification under Negative Covariate Shift. EMNLP Geli Fei, Bing Liu
2014	—	`conf`	Aspect Extraction with Automated Prior Knowledge Learning. ACL (1) Zhiyuan Chen, Arjun Mukherjee, Bing Liu
2014	A*	`conf`	Co-training on authorship attribution with very fewlabeled examples: methods vs. views. SIGIR Tieyun Qian, Bing Liu, Ming Zhong, Guoliang He
2014	A*	`conf`	Detecting Campaign Promoters on Twitter Using Markov Random Fields. ICDM Huayi Li, Arjun Mukherjee, Bing Liu, Rachel Kornfield, Sherry Emery
2014	A*	`conf`	Exploiting Social Relations and Sentiment for Stock Prediction. EMNLP Jianfeng Si, Arjun Mukherjee, Bing Liu, Sinno Jialin Pan, Qing Li, Huayi Li
2014	A*	`conf`	Mining topics in documents: standing on the shoulders of big data. KDD Zhiyuan Chen, Bing Liu
2014	B	`conf`	Review Topic Discovery with Phrases using the Pólya Urn Model. COLING Geli Fei, Zhiyuan Chen, Bing Liu
2014	—	`ch.`	Rule-Based Classification. Data Classification: Algorithms and Applications Xiaoli Li, Bing Liu
2014	—	`conf`	Sentence-Level Sentiment Analysis in the Presence of Modalities. CICLing (2) Yang Liu, Xiaohui Yu, Bing Liu, Zhongshuai Chen
2014	J	`jnl`	Spotting Fake Reviews using Positive-Unlabeled Learning. Computación y Sistemas Huayi Li, Bing Liu, Arjun Mukherjee, Jidong Shao
2014	A*	`conf`	Spotting Fake Reviews via Collective Positive-Unlabeled Learning. ICDM Huayi Li, Zhiyuan Chen, Bing Liu, Xiaokai Wei, Jidong Shao
2014	A*	`conf`	Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data. ICML Zhiyuan Chen, Bing Liu
2014	J	`jnl`	Topic formation and development: a core-group evolving process. World Wide Web Tieyun Qian, Qing Li, Bing Liu, Hui Xiong, Jaideep Srivastava, Phillip C.-Y. Sheu
2014	—	`conf`	Tri-Training for Authorship Attribution with Limited Training Data. ACL (2) Tieyun Qian, Bing Liu, Li Chen, Zhiyong Peng
2013	—	`conf`	A Logic Programming Approach to Aspect Extraction in Opinion Mining. Web Intelligence Qian Liu, Zhiqiang Gao, Bing Liu, Yuanlin Zhang
2013	—	`conf`	Discovering User Interactions in Ideological Discussions. ACL (1) Arjun Mukherjee, Bing Liu
2013	A	`conf`	Discovering coherent topics using general knowledge. CIKM Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh
2013	A	`conf`	Exploiting Burstiness in Reviews for Review Spammer Detection. ICWSM Geli Fei, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh
2013	A*	`conf`	Exploiting Domain Knowledge in Aspect Extraction. EMNLP Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh
2013	—	`conf`	Exploiting Topic based Twitter Sentiment for Stock Prediction. ACL (2) Jianfeng Si, Arjun Mukherjee, Bing Liu, Qing Li, Huayi Li, Xiaotie Deng
2013	—	`conf`	Identifying Intention Posts in Discussion Forums. HLT-NAACL Zhiyuan Chen, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh
2013	A*	`conf`	Identifying Multiple Userids of the Same Author. EMNLP Tieyun Qian, Bing Liu
2013	J	`jnl`	Knowledge-Based Approaches to Concept-Level Sentiment Analysis. IEEE Intell. Syst. Erik Cambria, Björn W. Schuller, Bing Liu, Haixun Wang, Catherine Havasi
2013	A*	`conf`	Leveraging Multi-Domain Prior Knowledge in Topic Models. IJCAI Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh
2013	—	`ed.`	Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining, WISDOM 2013, Chicago, IL, USA, August 11, 2013 WISDOM Erik Cambria, Bing Liu, Yongzheng Zhang, Yunqing Xia
2013	—	`conf`	Public Dialogue: Analysis of Tolerance in Online Discussions. ACL (1) Arjun Mukherjee, Vivek Venkataraman, Bing Liu, Sharon Meraz
2013	—	`conf`	Sentiment analysis of sentences with modalities. UnstructureNLP@CIKM Yang Liu, Xiaohui Yu, Zhongshuai Chen, Bing Liu
2013	A*	`conf`	Spotting opinion spammers using behavioral footprints. KDD Arjun Mukherjee, Abhinav Kumar, Bing Liu, Junhui Wang, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh
2013	J	`jnl`	Statistical Approaches to Concept-Level Sentiment Analysis. IEEE Intell. Syst. Erik Cambria, Björn W. Schuller, Bing Liu, Haixun Wang, Catherine Havasi
2013	A	`conf`	What Yelp Fake Review Filter Might Be Doing? ICWSM Arjun Mukherjee, Vivek Venkataraman, Bing Liu, Natalie S. Glance
2012	—	`conf`	A Dictionary-Based Approach to Identifying Aspects Implied by Adjectives for Opinion Mining. COLING (Posters) Geli Fei, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh
2012	—	`ch.`	A Survey of Opinion Mining and Sentiment Analysis. Mining Text Data Bing Liu, Lei Zhang
2012	B	`conf`	Analysis of Linguistic Style Accommodation in Online Debates. COLING Arjun Mukherjee, Bing Liu
2012	—	`conf`	Aspect Extraction through Semi-Supervised Modeling. ACL (1) Arjun Mukherjee, Bing Liu
2012	A	`conf`	Diversionary comments under political blog posts. CIKM Jing Wang, Clement T. Yu, Philip S. Yu, Bing Liu, Weiyi Meng
2012	J	`jnl`	Identify Online Store Review Spammers via Social Review Graph. ACM Trans. Intell. Syst. Technol. Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu
2012	A*	`conf`	Mining contentions from discussions and debates. KDD Arjun Mukherjee, Bing Liu
2012	—	`conf`	Modeling Review Comments. ACL (1) Arjun Mukherjee, Bing Liu
2012	J	`jnl`	Product Feature Grouping for Opinion Mining. IEEE Intell. Syst. Zhongwu Zhai, Bing Liu, Jingyuan Wang, Hua Xu, Peifa Jia
2012	—	`book`	Sentiment Analysis and Opinion Mining Bing Liu
2012	A*	`conf`	Spotting fake reviewer groups in consumer reviews. WWW Arjun Mukherjee, Bing Liu, Natalie S. Glance
2011	A	`conf`	Clustering product features for opinion mining. WSDM Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia
2011	—	`conf`	Constrained LDA for Grouping Product Features in Opinion Mining. PAKDD (1) Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia
2011	—	`conf`	Detecting group review spam. WWW (Companion Volume) Arjun Mukherjee, Bing Liu, Junhui Wang, Natalie S. Glance, Nitin Jindal
2011	—	`conf`	Entity set expansion in opinion documents. HT Lei Zhang, Bing Liu
2011	B	`conf`	Extracting Resource Terms for Sentiment Analysis. IJCNLP Lei Zhang, Bing Liu
2011	A*	`conf`	Identifying Evaluative Sentences in Online Discussions. AAAI Zhongwu Zhai, Bing Liu, Lei Zhang, Hua Xu, Peifa Jia
2011	—	`conf`	Identifying Noun Product Features that Imply Opinions. ACL (2) Lei Zhang, Bing Liu
2011	J	`jnl`	Opinion Word Expansion and Target Extraction through Double Propagation. Comput. Linguistics Guang Qiu, Bing Liu, Jiajun Bu, Chun Chen
2011	A*	`conf`	Review Graph Based Online Store Review Spammer Detection. ICDM Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu
2011	—	`book`	Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data. Second Edition Bing Liu
2010	A	`conf`	A Generalized Tree Matching Algorithm Considering Nested Lists for Web Data Extraction. SDM Nitin Jindal, Bing Liu
2010	A	`conf`	Detecting product review spammers using rating behaviors. CIKM Ee-Peng Lim, Viet-An Nguyen, Nitin Jindal, Bing Liu, Hady Wirawan Lauw
2010	—	`conf`	Distributional Similarity vs. PU Learning for Entity Set Expansion. ACL (2) Xiaoli Li, Lei Zhang, Bing Liu, See-Kiong Ng
2010	A*	`conf`	Entity relation discovery from web tables and links. WWW Cindy Xide Lin, Bo Zhao, Tim Weninger, Jiawei Han, Bing Liu
2010	—	`conf`	Extracting and Ranking Product Features in Opinion Documents. COLING (Posters) Lei Zhang, Bing Liu, Suk Hwan Lim, Eamonn O'Brien-Strain
2010	A	`conf`	Finding unusual review patterns using unexpected rules. CIKM Nitin Jindal, Bing Liu, Ee-Peng Lim
2010	B	`conf`	Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints. COLING Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia
2010	—	`conf`	Hierarchical Web-Page Clustering via In-Page and Cross-Page Link Structures. PAKDD (2) Cindy Xide Lin, Yintao Yu, Jiawei Han, Bing Liu
2010	A*	`ed.`	ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010 ICDM Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu
2010	—	`ed.`	ICDMW 2010, The 10th IEEE International Conference on Data Mining Workshops, Sydney, Australia, 13 December 2010 ICDM Workshops Wei Fan, Wynne Hsu, Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu
2010	A*	`conf`	Improving Gender Classification of Blog Authors. EMNLP Arjun Mukherjee, Bing Liu
2010	—	`conf`	Keynote speaker. SMUC@CIKM Bing Liu
2010	A*	`conf`	Negative Training Data Can be Harmful to Text Classification. EMNLP Xiaoli Li, Bing Liu, See-Kiong Ng
2010	A	`ed.`	Proceedings of the Third International Conference on Web Search and Web Data Mining, WSDM 2010, New York, NY, USA, February 4-6, 2010 WSDM Brian D. Davison, Torsten Suel, Nick Craswell, Bing Liu
2010	B	`conf`	Resolving Object and Attribute Coreference in Opinion Mining. COLING Xiaowen Ding, Bing Liu
2010	—	`ch.`	Sentiment Analysis and Subjectivity. Handbook of Natural Language Processing Bing Liu
2010	—	`ch.`	Time Sensitive Ranking with Application to Publication Search. Link Mining Xin Li, Bing Liu, Philip S. Yu
2010	—	`conf`	WePS3 Evaluation Campaign: Overview of the On-line Reputation Management Task. CLEF (Notebook Papers/LABs/Workshops) Enrique Amigó, Javier Artiles, Julio Gonzalo, Damiano Spina, Bing Liu, Adolfo Corujo
2009	—	`ch.`	Classification by Association Rule Analysis. Encyclopedia of Database Systems Bing Liu
2009	A*	`conf`	Entity discovery and assignment for opinion mining applications. KDD Xiaowen Ding, Bing Liu, Lei Zhang
2009	A*	`conf`	Expanding Domain Sentiment Lexicon through Double Propagation. IJCAI Guang Qiu, Bing Liu, Jiajun Bu, Chun Chen
2009	A*	`conf`	Finding Actionable Knowledge via Automated Comparison. ICDE Lei Zhang, Bing Liu, Jeffrey Benkler, Chi Zhou
2009	—	`ch.`	Opinion Mining. Encyclopedia of Database Systems Bing Liu
2009	A	`conf`	Positive Unlabeled Learning for Data Stream Classification. SDM Xiaoli Li, Philip S. Yu, Bing Liu, See-Kiong Ng
2009	A*	`conf`	Sentiment Analysis of Conditional Sentences. EMNLP Ramanathan Narayanan, Bing Liu, Alok N. Choudhary
2009	—	`conf`	Towards the SocioScope: an information system for the study of social dynamics through digital traces. GIS Andrea Vaccari, Francesco Calabrese, Bing Liu, Carlo Ratti
2009	A	`conf`	What's behind topic formation and development: a perspective of community core groups. CIKM Tieyun Qian, Qing Li, Bing Liu, Hui Xiong, Jaideep Srivastava, Phillip C.-Y. Sheu
2008	A	`conf`	A holistic lexicon-based approach to opinion mining. WSDM Xiaowen Ding, Bing Liu, Philip S. Yu
2008	J	`jnl`	Guest editorial. Stat. Anal. Data Min. Srinivasan Parthasarathy, Bing Liu
2008	J	`jnl`	Managing large collections of data mining models. Commun. ACM Bing Liu, Alexander Tuzhilin
2008	B	`conf`	Mining Opinions in Comparative Sentences. COLING Murthy Ganapathibhotla, Bing Liu
2008	A	`conf`	Opinion spam and analysis. WSDM Nitin Jindal, Bing Liu
2008	A*	`ed.`	Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, August 24-27, 2008 KDD Ying Li, Bing Liu, Sunita Sarawagi
2008	A*	`conf`	Time Sensitive Ranking with Application to Publication Search. ICDM Xin Li, Bing Liu, Philip S. Yu
2008	J	`jnl`	Top 10 algorithms in data mining. Knowl. Inf. Syst. 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
2007	A*	`conf`	Analyzing and Detecting Review Spam. ICDM Nitin Jindal, Bing Liu
2007	J	`jnl`	Extracting Web Data Using Instance-Based Learning. World Wide Web Yanhong Zhai, Bing Liu
2007	J	`jnl`	KDD Cup and workshop 2007. SIGKDD Explor. James Bennett, Charles Elkan, Bing Liu, Padhraic Smyth, Domonkos Tikk
2007	—	`conf`	Learning to Classify Documents with Only a Small Positive Training Set. ECML Xiaoli Li, Bing Liu, See-Kiong Ng
2007	A*	`conf`	Learning to Identify Unexpected Instances in the Test Set. IJCAI Xiaoli Li, Bing Liu, See-Kiong Ng
2007	A*	`conf`	Review spam detection. WWW Nitin Jindal, Bing Liu
2007	—	`conf`	Semantic Text Classification of Emergent Disease Reports. PKDD Yi Zhang, Bing Liu
2007	A*	`conf`	Semantic text classification of disease reporting. SIGIR Yi Zhang, Bing Liu
2007	A*	`conf`	The utility of linguistic rules in opinion mining. SIGIR Xiaowen Ding, Bing Liu
2007	—	`book`	Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data Bing Liu
2006	—	`ed.`	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 WebKDD Bamshad Mobasher, Olfa Nasraoui, Bing Liu, Brij M. Masand
2006	A*	`conf`	Automatic Wrapper Generation Using Tree Matching and Partial Tree Alignment. AAAI Yanhong Zhai, Bing Liu
2006	—	`conf`	Discovering Overlapping Communities of Named Entities. PKDD Xin Li, Bing Liu, Philip S. Yu
2006	A*	`conf`	Identifying comparative sentences in text documents. SIGIR Nitin Jindal, Bing Liu
2006	—	`conf`	Mining Community Structure of Named Entities from Web Pages and Blogs. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs Xin Li, Bing Liu, Philip S. Yu
2006	A*	`conf`	Mining Comparative Sentences and Relations. AAAI Nitin Jindal, Bing Liu
2006	A*	`conf`	Mining Latent Associations of Objects Using a Typed Mixture Model--A Case Study on Expert/Expertise Mining. ICDM Shenghua Bao, Yunbo Cao, Bing Liu, Yong Yu, Hang Li
2006	A*	`conf`	Opinion Extraction and Summarization on the Web. AAAI Minqing Hu, Bing Liu
2006	—	`conf`	Opinion Feature Extraction Using Class Sequential Rules. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs Minqing Hu, Bing Liu
2006	A*	`conf`	Opportunity map: identifying causes of failure - a deployed data mining system. KDD Kaidi Zhao, Bing Liu, Jeffrey Benkler, Weimin Xiao
2006	A	`ed.`	Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, Arlington, Virginia, USA, November 6-11, 2006 CIKM Philip S. Yu, Vassilis J. Tsotras, Edward A. Fox, Bing Liu
2006	A*	`conf`	Rule interestingness analysis using OLAP operations. KDD Bing Liu, Kaidi Zhao, Jeffrey Benkler, Weimin Xiao
2006	J	`jnl`	Structured Data Extraction from the Web Based on Partial Tree Alignment. IEEE Trans. Knowl. Data Eng. Yanhong Zhai, Bing Liu
2005	A*	`conf`	A Visual Data Mining Framework for Convenient Identification of Useful Knowledge. ICDM Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xiao
2005	—	`conf`	Adding the Temporal Dimension to Search - A Case Study in Publication Search. Web Intelligence Philip S. Yu, Xin Li, Bing Liu
2005	—	`conf`	An EM Based Training Algorithm for Cross-Language Text Categorization. Web Intelligence Leonardo Rigutini, Marco Maggini, Bing Liu
2005	—	`conf`	Assigning Unique Keys to Chemical Compounds for Data Integration: Some Interesting Counter Examples. DILS Greeshma Neglur, Robert L. Grossman, Bing Liu
2005	B	`conf`	Extracting Web Data Using Instance-Based Learning. WISE Yanhong Zhai, Bing Liu
2005	J	`jnl`	Guest Editors' Introduction: Special Section on Intelligent Data Preparation. IEEE Trans. Knowl. Data Eng. Chengqi Zhang, Qiang Yang, Bing Liu
2005	—	`conf`	Learning from Positive and Unlabeled Examples with Different Data Distributions. ECML Xiaoli Li, Bing Liu
2005	A	`conf`	Mining community structure of named entities from free text. CIKM Xin Li, Bing Liu
2005	B	`conf`	NET - A System for Extracting Web Data from Flat and Nested Data Records. WISE Bing Liu, Yanhong Zhai
2005	A*	`conf`	Opinion observer: analyzing and comparing opinions on the Web. WWW Bing Liu, Minqing Hu, Junsheng Cheng
2005	A	`conf`	Opportunity map: a visualization framework for fast identification of actionable knowledge. CIKM Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xiao
2005	B	`conf`	WISE-2005 Tutorial: Web Content Mining. WISE Bing Liu
2005	A*	`conf`	Web data extraction based on partial tree alignment. WWW Yanhong Zhai, Bing Liu
2004	J	`jnl`	An Empirical Study of the Universal Chemical Key Algorithm for Assigning Unique Keys to Chemical Compounds. J. Bioinform. Comput. Biol. Robert L. Grossman, Pavan Kasturi, Donald Hamelberg, Bing Liu
2004	—	`conf`	Data Mining: The Next Generation. Perspectives Workshop: Data Mining: The Next Generation 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
2004	—	`conf`	Dealing with different distributions in learning from. WWW (Alternate Track Papers & Posters) Xiaoli Li, Bing Liu
2004	J	`jnl`	Editorial: special issue on web content mining. SIGKDD Explor. Bing Liu, Kevin Chen-Chuan Chang
2004	J	`jnl`	Guest Editors' Introduction: Special Section on Mining and Searching the Web. IEEE Trans. Knowl. Data Eng. Bing Liu, Soumen Chakrabarti
2004	A*	`conf`	Mining Opinion Features in Customer Reviews. AAAI Minqing Hu, Bing Liu
2004	J	`jnl`	Mining Web Pages for Data Records. IEEE Intell. Syst. Bing Liu, Robert L. Grossman, Yanhong Zhai
2004	A*	`conf`	Mining and summarizing customer reviews. KDD Minqing Hu, Bing Liu
2004	—	`conf`	On the temporal dimension of search. WWW (Alternate Track Papers & Posters) Philip S. Yu, Xin Li, Bing Liu
2004	—	`ed.`	Proceedings of the 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, DMKD 2004, Paris, France, June 13, 2004 DMKD Gautam Das, Bing Liu, Philip S. Yu
2004	B	`conf`	Semi-supervised Text Classification Using Partitioned EM. DASFAA Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu
2004	A*	`conf`	Text Classification by Labeling Words. AAAI Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu
2004	A*	`conf`	V-Miner: using enhanced parallel coordinates to mine product design and test data. KDD Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Schaller
2004	J	`jnl`	WebKDD 2004: web mining and web usage analysis post-workshop report. SIGKDD Explor. Olfa Nasraoui, Bamshad Mobasher, Brij M. Masand, Bing Liu
2003	A*	`conf`	Building Text Classifiers Using Positive and Unlabeled Examples. ICDM Bing Liu, Yang Dai, Xiaoli Li, Wee Sun Lee, Philip S. Yu
2003	A*	`conf`	Detecting Patterns of Change Using Enhanced Parallel Coordinates Visualization. ICDM Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Schaller
2003	A*	`conf`	Eliminating noisy information in Web pages for data mining. KDD Lan Yi, Bing Liu, Xiaoli Li
2003	—	`conf`	Experimental Studies of the Universal Chemical Key (UCK)Algorithm on the NCI Database of Chemical Compounds. CSB Robert L. Grossman, Pavan Kasturi, Donald Hamelberg, Bing Liu
2003	A*	`conf`	Learning to Classify Texts Using Positive and Unlabeled Data. IJCAI Xiaoli Li, Bing Liu
2003	A*	`conf`	Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression. ICML Wee Sun Lee, Bing Liu
2003	A*	`conf`	Mining data records in Web pages. KDD Bing Liu, Robert L. Grossman, Yanhong Zhai
2003	A*	`conf`	Mining topic-specific concepts and definitions on the web. WWW Bing Liu, Chee Wee Chin, Hwee Tou Ng
2003	J	`jnl`	Scoring the Data Using Association Rules. Appl. Intell. Bing Liu, Yiming Ma, Ching Kian Wong, Philip S. Yu
2003	A*	`conf`	Web Page Cleaning for Web Mining through Feature Weighting. IJCAI Lan Yi, Bing Liu
2002	A*	`conf`	A refinement approach to handling model misfit in text categorization. KDD Haoran Wu, Tong-Heng Phang, Bing Liu, Xiaoli Li
2002	B	`ed.`	Advances in Knowledge Discovery and Data Mining, 6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002, Proceedings PAKDD Ming-Shan Cheng, Philip S. Yu, Bing Liu
2002	J	`jnl`	Business applications of data mining. Commun. ACM Chidanand Apté, Bing Liu, Edwin P. D. Pednault, Padhraic Smyth
2002	A	`conf`	Discovering Frequent Substructures from Hierarchical Semi-structured Data. SDM Gao Cong, Lan Yi, Bing Liu, Ke Wang
2002	A*	`conf`	Multivariate Time Series Prediction via Temporal Classification. ICDE Bing Liu, Jing Liu
2002	A*	`conf`	Partially Supervised Classification of Text Documents. ICML Bing Liu, Wee Sun Lee, Philip S. Yu, Xiaoli Li
2002	A*	`conf`	Querying multiple sets of discovered rules. KDD Alexander Tuzhilin, Bing Liu
2002	J	`jnl`	Research Activities in Database Management and Information Retrieval at the University of Illinois at Chicago. SIGMOD Rec. Isabel F. Cruz, Ashfaq A. Khokhar, Bing Liu, A. Prasad Sistla, Ouri Wolfson, Clement T. Yu
2002	A*	`conf`	Speed-up Iterative Frequent Itemset Mining with Constraint Changes. ICDM Gao Cong, Bing Liu
2002	A	`conf`	Using micro information units for internet search. CIKM Xiaoli Li, Tong-Heng Phang, Minqing Hu, Bing Liu
2002	A*	`conf`	Visualizing web site comparisons. WWW Bing Liu, Kaidi Zhao, Lan Yi
2001	A*	`conf`	Analyzing the Interestingness of Association Rules from the Temporal Dimension. ICDM Bing Liu, Yiming Ma, Ronnie Lee
2001	A*	`conf`	Discovering the set of fundamental rule changes. KDD Bing Liu, Wynne Hsu, Yiming Ma
2001	A*	`conf`	Discovering unexpected information from your competitors' web sites. KDD Bing Liu, Yiming Ma, Philip S. Yu
2001	—	`conf`	Efficiently Determine the Starting Sample Size for Progressive Sampling. DMKD Baohua Gu, Bing Liu, Feifang Hu, Huan Liu
2001	—	`conf`	Efficiently Determining the Starting Sample Size for Progressive Sampling. ECML Baohua Gu, Bing Liu, Feifang Hu, Huan Liu
2001	A	`conf`	Generating Classification Rules According to User's Existing Knowledge. SDM Shu Chen, Bing Liu
2001	A*	`conf`	Identifying non-actionable association rules. KDD Bing Liu, Wynne Hsu, Yiming Ma
2000	J	`jnl`	Analyzing the Subjective Interestingness of Association Rules. IEEE Intell. Syst. Bing Liu, Wynne Hsu, Shu Chen, Yiming Ma
2000	A	`conf`	Clustering Through Decision Tree Construction. CIKM Bing Liu, Yiyuan Xia, Philip S. Yu
2000	J	`jnl`	Conceptual design: issues and challenges. Comput. Aided Des. Wynne Hsu, Bing Liu
2000	A*	`conf`	Exploration mining in diabetic patients databases: findings and conclusions. KDD Wynne Hsu, Mong-Li Lee, Bing Liu, Tok Wang Ling
2000	—	`conf`	Improving an Association Rule Based Classifier. PKDD Bing Liu, Yiming Ma, Ching Kian Wong
2000	—	`conf`	Intuitive Representation of Decision Trees Using General Rules and Exceptions. AAAI/IAAI Bing Liu, Minqing Hu, Wynne Hsu
2000	B	`conf`	Mining Changes for Real-Life Applications. DaWaK Bing Liu, Wynne Hsu, Heng-Siew Han, Yiyuan Xia
2000	A*	`conf`	Multi-level organization and summarization of the discovered rules. KDD Bing Liu, Minqing Hu, Wynne Hsu
2000	A*	`conf`	Targeting the right students using data mining. KDD Yiming Ma, Bing Liu, Ching Kian Wong, Philip S. Yu, Shuik Ming Lee
2000	B	`conf`	Web for Data Mining Applications. COMPSAC Bing Liu, Yiming Ma, Ching Kian Wong
2000	J	`jnl`	Web for Data Mining: Organizing and Interpreting the Discovered Rules using the Web. SIGKDD Explor. Yiming Ma, Bing Liu, Ching Kian Wong
1999	A	`conf`	Clustering Transactions Using Large Items. CIKM Ke Wang, Chu Xu, Bing Liu
1999	J	`jnl`	Finding Interesting Patterns Using User Expectations. IEEE Trans. Knowl. Data Eng. Bing Liu, Wynne Hsu, Lai-Fun Mun, Hing-Yan Lee
1999	A*	`conf`	Mining Association Rules with Multiple Minimum Supports. KDD Bing Liu, Wynne Hsu, Yiming Ma
1999	A*	`conf`	Mining Interesting Knowledge Using DM-II. KDD Bing Liu, Wynne Hsu, Yiming Ma, Shu Chen
1999	A*	`conf`	Pruning and Summarizing the Discovered Associations. KDD Bing Liu, Wynne Hsu, Yiming Ma
1999	B	`conf`	Visually Aided Exploration of Interesting Association Rules. PAKDD Bing Liu, Wynne Hsu, Ke Wang, Shu Chen
1998	B	`conf`	Concurrent Discretization of Multiple Attributes. PRICAI Ke Wang, Bing Liu
1998	A*	`conf`	Integrating Classification and Association Rule Mining. KDD Bing Liu, Wynne Hsu, Yiming Ma
1998	A*	`conf`	Interestingness-Based Interval Merger for Numeric Association Rules. KDD Ke Wang, Soon Hock William Tay, Bing Liu
1998	B	`conf`	Using Decision Tree Induction for Discovering Holes in Data. PRICAI Bing Liu, Ke Wang, Lai-Fun Mun, Xin-Zhi Qi
1997	—	`conf`	Discovering Interesting Holes in Data. IJCAI (2) Bing Liu, Liang-Ping Ku, Wynne Hsu
1997	B	`conf`	Forward and Backward Chaining in Constraint Programming (Abstract). LPNMR Joxan Jaffar, Bing Liu, Roland H. C. Yap
1997	J	`jnl`	Route finding by using knowledge about the road network. IEEE Trans. Syst. Man Cybern. Part A Bing Liu
1997	A*	`conf`	Using General Impressions to Analyze Discovered Classification Rules. KDD Bing Liu, Wynne Hsu, Shu Chen
1996	B	`conf`	An Improved Generic Arc Consistency Algorithm and Its Specializations. PRICAI Bing Liu
1996	A	`conf`	Intelligent Route Finding: Combining Knowledge and Cases and an Efficient Search Algorithm. ECAI Bing Liu
1996	—	`conf`	Post-Analysis of Learned Rules. AAAI/IAAI, Vol. 1 Bing Liu, Wynne Hsu
1996	—	`conf`	Using Constraints to Model Disjunctions in Rule-Based Reasoning. AAAI/IAAI, Vol. 2 Bing Liu, Joxan Jaffar
1995	C	`conf`	A Refinement Approach to Search and Constraint Satisfaction Problem. IEA/AIE Bing Liu
1995	A*	`conf`	Increasing Functional Constraints Need to Be Checked Only Once. IJCAI (1) Bing Liu
1995	C	`conf`	Intelligent Air Travel and Tourist Information Systems. IEA/AIE Bing Liu
1995	A*	`conf`	Using Knowledge to Isolate Search in Route Finding. IJCAI Bing Liu
1994	J	`jnl`	Finding the Shortest Route Using Cases, Knowledge, and Djikstra's Algorithm. IEEE Expert Bing Liu, Siew-Hwee Choo, Shee-Ling Lok, Sing-Meng Leong, Soo-Chee Lee, Foong-Ping Poon, Hwee-Har Tan
1994	B	`conf`	Integrating Rules and Constraints. ICTAI Bing Liu
1992	J	`jnl`	ConstraintLisp: an object-oriented constraint programming language. ACM SIGPLAN Notices Bing Liu, Yuen-Wah Ku
1988	A	`conf`	A Reinforcement Approach to Schelduling. ECAI Bing Liu
1988	J	`jnl`	Scheduling via reinforcement. Artif. Intell. Eng. Bing Liu