| 2026 | AAAI | Negative Entity Suppression for Zero-Shot Captioning with Synthetic Images. | Zimao Lu, Hui Xu, Bing Liu, Ke Wang |
| 2026 | AAAI | Continual Out-of-Distribution Detection with Analytic Neural Collapse. | Saleh Momeni, Changnan Xiao, Bing Liu |
| 2026 | ACL | PRBench: Large-Scale Expert Rubrics for Evaluating High-Stakes Professional Reasoning. | Afra Feyza Akyrek, Advait Gosai, Chen Bo Calvin Zhang, Vipul Gupta, Jaehwan Jeong, Anisha Gunjal, Tahseen Rabbani, Maria Mazzone, David Randolph IV, Mohammad Mahmoudi Meymand, Gurshaan Chattha, Paula Rodriguez, Diego A Mares Buendia, Pavit Singh, Michael Liu, Subodh Chawla, Peter Cline, Lucy Ogaz, Ernesto Gabriel Hernndez Montoya, Zihao Wang, Pavi Bhatter, Marcos Ayestaran, Bing Liu, Yunzhong He |
| 2026 | ACL | Audio MultiChallenge: A Multi-Turn Evaluation of Spoken Dialogue Systems on Natural Human Interaction. | Advait Gosai, Tyler Vuong, Utkarsh Tyagi, Steven Li, Wenjia You, Miheer Bavare, Arda Uar, Zhongwang Fang, Brian Jang, Bing Liu, Yunzhong He |
| 2026 | ACL | Agentic Rubrics as Contextual Verifiers for SWE Agents. | Mohit Raghavendra, Anisha Gunjal, Bing Liu, Yunzhong He |
| 2026 | EuroSys | Rearchitecting Programmable Networks For In-Network Computing: From Hardware To Language. | Haifeng Sun, Bing Liu, Taixu Tian, Jinbo Sun, Jintao He, Qun Huang, Luyou He, Xuan Wang, Feng Gao, Liguo Wang, Xiangcan Xu, Junyi Guo, Xiaoping Zhu, Yongqiang Yang |
| 2025 | AAAI | Continual Learning Using a Kernel-Based Method Over Foundation Models. | Saleh Momeni, Sahisnu Mazumder, Bing Liu |
| 2025 | ACL | Boosting LLM Translation Skills without General Ability Loss via Rationale Distillation. | Junhong Wu, Yang Zhao, Yangyifan Xu, Bing Liu, Chengqing Zong |
| 2025 | CGI | Facial Action Unit Detection with Iterative Rank Reduction Adapter and Directional Attention. | Zhiwen Shao, Chunyu Li, Fan Zhang, Hancheng Zhu, Rui Yao, Bing Liu |
| 2025 | COLING | In-context Continual Learning Assisted by an External Continual Learner. | Saleh Momeni, Sahisnu Mazumder, Zixuan Ke, Bing Liu |
| 2025 | COLING | Continual Learning Using Only Large Language Model Prompting. | Jiabao Qiu, Zixuan Ke, Bing Liu |
| 2025 | ECAI | Learning After Model Deployment. | Derda Kaymak, Gyuhak Kim, Tomoya Kaichi, Tatsuya Konishi, Bing Liu |
| 2025 | ICDE | A Novel Key Point based MLCS Algorithm for Big Sequences Mining (Extended Abstract). | Yanni Li, Bing Liu, Tihua Duan, Zhi Wang, Hui Li, Jiangtao Cui |
| 2025 | ICLR | Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models. | Lucas Bandarkar, Benjamin Muller, Pritish Yuvraj, Rui Hou, Nayan Singhal, Hongjiang Lv, Bing Liu |
| 2025 | ICLR | Generalizing Reasoning Problems to Longer Lengths. | Changnan Xiao, Bing Liu |
| 2025 | ICML | Understanding the Unfairness in Network Quantization. | Bing Liu, Wenjun Miao, Boyu Zhang, Qiankun Zhang, Bin Yuan, Jing Wang, Shenghao Liu, Xianjun Deng |
| 2025 | ICML | DiMa: Understanding the Hardness of Online Matching Problems via Diffusion Models. | Boyu Zhang, Aocheng Shen, Bing Liu, Qiankun Zhang, Bin Yuan, Jing Wang, Shenghao Liu, Xianjun Deng |
| 2025 | IJCAI | Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking. | Shenglan Li, Rui Yao, Yong Zhou, Hancheng Zhu, Kunyang Sun, Bing Liu, Zhiwen Shao, Jiaqi Zhao |
| 2025 | IJCAI | Counterfactual Knowledge Maintenance for Unsupervised Domain Adaptation. | Yao Li, Yong Zhou, Jiaqi Zhao, Wen-Liang Du, Rui Yao, Bing Liu |
| 2024 | AAAI | Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation. | Hao Liu, Xin Li, Mingming Gong, Bing Liu, Yunfei Wu, Deqiang Jiang, Yinsong Liu, Xing Sun |
| 2024 | ACL | Probing Language Models for Pre-training Data Detection. | Zhenhua Liu, Tong Zhu, Chuanyuan Tan, Bing Liu, Haonan Lu, Wenliang Chen |
| 2024 | ACL | Talk With Human-like Agents: Empathetic Dialogue Through Perceptible Acoustic Reception and Reaction. | Haoqiu Yan, Yongxin Zhu, Kai Zheng, Bing Liu, Haoyu Cao, Deqiang Jiang, Linli Xu |
| 2024 | COLING | Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation. | Yue Zhou, Barbara Di Eugenio, Brian D. Ziebart, Lisa K. Sharp, Bing Liu, Nikolaos Agadakos |
| 2024 | CSCWD | Application of Network Slicing in UAV Ground Communication Systems. | Bing Liu, Weizheng Cheng, Shiqiang Hu, Lingkun Luo |
| 2024 | ECIR | How to Forget Clients in Federated Online Learning to Rank? | Shuyi Wang, Bing Liu, Guido Zuccon |
| 2024 | EMNLP | An Evaluation Mechanism of LLM-based Agents on Manipulating APIs. | Bing Liu, Jianxiang Zhou, Dan Meng, Haonan Lu |
| 2024 | ICASSP | Multi-Modal Continual Pre-Training For Audio Encoders. | Gyuhak Kim, Ho-Hsiang Wu, Luca Bondi, Bing Liu |
| 2024 | ICLR | Class Incremental Learning via Likelihood Ratio Based Task Prediction. | Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo, Bing Liu |
| 2024 | ICML | Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective. | Yang Chen, Cong Fang, Zhouchen Lin, Bing Liu |
| 2024 | NAACL | Noisy Multi-Label Text Classification via Instance-Label Pair Correction. | Pengyu Xu, Mingyang Song, Linkaida Liu, Bing Liu, Hongjian Sun, Liping Jing, Jian Yu |
| 2024 | NAACL | Sentiment Analysis in the Era of Large Language Models: A Reality Check. | Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan, Lidong Bing |
| 2023 | AAAI | Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification. | Pengyu Xu, Lin Xiao, Bing Liu, Sijin Lu, Liping Jing, Jian Yu |
| 2023 | ACL | Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast. | Yiduo Guo, Yaobo Liang, Dongyan Zhao, Bing Liu, Nan Duan |
| 2023 | ACL | Class-Incremental Learning based on Label Generation. | Yijia Shao, Yiduo Guo, Dongyan Zhao, Bing Liu |
| 2023 | ACL | A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution. | Neeraj Varshney, Himanshu Gupta, Eric Robertson, Bing Liu, Chitta Baral |
| 2023 | ACL | Introducing Semantics into Speech Encoders. | Derek Xu, Shuyan Dong, Changhan Wang, Suyoun Kim, Zhaojiang Lin, Bing Liu, Akshat Shrivastava, Shang-Wen Li, Liang-Hsuan Tseng, Guan-Ting Lin, Alexei Baevski, Hung-yi Lee, Yizhou Sun, Wei Wang |
| 2023 | CVPR | Dealing with Cross-Task Class Discrimination in Online Continual Learning. | Yiduo Guo, Bing Liu, Dongyan Zhao |
| 2023 | EMNLP | Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks. | Zixuan Ke, Bing Liu, Wenhan Xiong, Asli Celikyilmaz, Haoran Li |
| 2023 | EMNLP | Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking. | Shengyao Zhuang, Bing Liu, Bevan Koopman, Guido Zuccon |
| 2023 | ICASSP | Test-Time Training-Free Domain Adaptation. | Yongxiang Feng, Weihua He, Kaichao You, Bing Liu, Ziyang Zhang, Yaoyuan Wang, Minglei Li, Yihang Lou, Jiawei Li, Guoqi Li, Jianxing Liao |
| 2023 | ICLR | Continual Pre-training of Language Models. | Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu |
| 2023 | ICML | Learnability and Algorithm for Continual Learning. | Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu |
| 2023 | ICML | Parameter-Level Soft-Masking for Continual Learning. | Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu |
| 2023 | IJCAI | Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? | Bing Liu, Wei Luo, Gang Li, Jing Huang, Bo Yang |
| 2023 | SMC | Cascade Cost Volume Multi-View Stereo Network with Transformer and Pseudo 3D. | Jiacheng Qu, Shengrong Zhao, Hu Liang, Qingmeng Zhang, Tingshuai Li, Bing Liu |
| 2022 | AAAI | Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP. | Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu |
| 2022 | AAAI | Adaptive Orthogonal Projection for Batch and Online Continual Learning. | Yiduo Guo, Wenpeng Hu, Dongyan Zhao, Bing Liu |
| 2022 | AAAI | Ensemble Semi-supervised Entity Alignment via Cycle-Teaching. | Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou |
| 2022 | CIKM | High-quality Task Division for Large-scale Entity Alignment. | Bing Liu, Wen Hua, Guido Zuccon, Genghong Zhao, Xia Zhang |
| 2022 | COLING | Towards Enhancing Health Coaching Dialogue in Low-Resource Settings. | Yue Zhou, Barbara Di Eugenio, Brian D. Ziebart, Lisa K. Sharp, Bing Liu, Ben S. Gerber, Nikolaos Agadakos, Shweta Yadav |
| 2022 | CVPR | Neural Collaborative Graph Machines for Table Structure Recognition. | Hao Liu, Xin Li, Bing Liu, Deqiang Jiang, Yinsong Liu, Bo Ren |
| 2022 | CVPR | Continual Learning Based on OOD Detection and Task Masking. | Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu |
| 2022 | CVPR | Show, Deconfound and Tell: Image Captioning with Causal Inference. | Bing Liu, Dong Wang, Xu Yang, Yong Zhou, Rui Yao, Zhiwen Shao, Jiaqi Zhao |
| 2022 | EMNLP | Guiding Neural Entity Alignment with Compatibility. | Bing Liu, Harrisen Scells, Wen Hua, Guido Zuccon, Genghong Zhao, Xia Zhang |
| 2022 | EMNLP | Continual Training of Language Models for Few-Shot Learning. | Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu |
| 2022 | EMNLP | Adapting a Language Model While Preserving its General Knowledge. | Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu |
| 2022 | EMNLP | Semantic Novelty Detection and Characterization in Factual Text Involving Named Entities. | Nianzu Ma, Sahisnu Mazumder, Alexander Politowicz, Bing Liu, Eric Robertson, Scott Grigsby |
| 2022 | ICML | Online Continual Learning through Mutual Information Maximization. | Yiduo Guo, Bing Liu, Dongyan Zhao |
| 2022 | IGARSS | Self-Supervised Feature Learning and Few-Shot Land Cover Classification for Cross-Modal Remote Sensing Images. | Zhixiang Xue, Xuchu Yu, Pengqiang Zhang, Xiong Tan, Anzhu Yu, Bing Liu |
| 2022 | NAACL | KETOD: Knowledge-Enriched Task-Oriented Dialogue. | Zhiyu Chen, Bing Liu, Seungwhan Moon, Chinnadhurai Sankar, Paul A. Crook, William Yang Wang |
| 2022 | PAKDD | Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning. | Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu |
| 2022 | WWW | Knowledge Distillation for Discourse Relation Analysis. | Congcong Jiang, Tieyun Qian, Bing Liu |
| 2021 | AAAI | Lifelong and Continual Learning Dialogue Systems: Learning during Conversation. | Bing Liu, Sahisnu Mazumder |
| 2021 | AAAI | Predictive Adversarial Learning from Positive and Unlabeled Data. | Wenpeng Hu, Ran Le, Bing Liu, Feng Ji, Jinwen Ma, Dongyan Zhao, Rui Yan |
| 2021 | AAAI | Continual Learning by Using Information of Each Class Holistically. | Wenpeng Hu, Qi Qin, Mengyu Wang, Jinwen Ma, Bing Liu |
| 2021 | ACL | Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon. | Shuai Wang, Guangyi Lv, Sahisnu Mazumder, Bing Liu |
| 2021 | ACL | Concept-Based Label Embedding via Dynamic Routing for Hierarchical Text Classification. | Xuepeng Wang, Li Zhao, Bing Liu, Tao Chen, Feng Zhang, Di Wang |
| 2021 | EACL | Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models. | Tianxing He, Jun Liu, Kyunghyun Cho, Myle Ott, Bing Liu, James R. Glass, Fuchun Peng |
| 2021 | ECIR | Diagnosis Ranking with Knowledge Graph Convolutional Networks. | Bing Liu, Guido Zuccon, Wen Hua, Weitong Chen |
| 2021 | EMNLP | NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions. | Zhiyu Chen, Honglei Liu, Hu Xu, Seungwhan Moon, Hao Zhou, Bing Liu |
| 2021 | EMNLP | CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. | Zixuan Ke, Bing Liu, Hu Xu, Lei Shu |
| 2021 | EMNLP | Zero-Shot Dialogue State Tracking via Cross-Task Transfer. | Zhaojiang Lin, Bing Liu, Andrea Madotto, Seungwhan Moon, Zhenpeng Zhou, Paul A. Crook, Zhiguang Wang, Zhou Yu, Eunjoon Cho, Rajen Subba, Pascale Fung |
| 2021 | EMNLP | ActiveEA: Active Learning for Neural Entity Alignment. | Bing Liu, Harrisen Scells, Guido Zuccon, Wen Hua, Genghong Zhao |
| 2021 | EMNLP | Continual Learning in Task-Oriented Dialogue Systems. | Andrea Madotto, Zhaojiang Lin, Zhenpeng Zhou, Seungwhan Moon, Paul A. Crook, Bing Liu, Zhou Yu, Eunjoon Cho, Pascale Fung, Zhiguang Wang |
| 2021 | EMNLP | Semantic Novelty Detection in Natural Language Descriptions. | Nianzu Ma, Alexander Politowicz, Sahisnu Mazumder, Jiahua Chen, Bing Liu, Eric Robertson, Scott Grigsby |
| 2021 | ICDE | ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering (Extended Abstract). | Yanni Li, Hui Li, Zhi Wang, Bing Liu, Jiangtao Cui, Hang Fei |
| 2021 | ICIP | Co-Saliency Detection Via Unified Hierarchical Graph Neural Network With Geometric Attention. | Jiaqing Qiao, Shaowei Sun, Mingzhu Xu, Yongqiang Li, Bing Liu |
| 2021 | iLRN | Spatial Learning with Extended Reality- - A Review of User Studies. | Bing Liu, Linfang Ding, Liqiu Meng |
| 2021 | iLRN | Work-in-Progress- - Improve Spatial Learning by Chunking Navigation Instructions in Mixed Reality. | Bing Liu, Zhicheng Zhan |
| 2021 | Interspeech | Improving RNN-T for Domain Scaling Using Semi-Supervised Training with Neural TTS. | Yan Deng, Rui Zhao, Zhong Meng, Xie Chen, Bing Liu, Jinyu Li, Yifan Gong, Lei He |
| 2021 | ICTIR | Effective and Privacy-preserving Federated Online Learning to Rank. | Shuyi Wang, Bing Liu, Shengyao Zhuang, Guido Zuccon |
| 2021 | NAACL | Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. | Zixuan Ke, Hu Xu, Bing Liu |
| 2021 | NAACL | Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue StateTracking. | Zhaojiang Lin, Bing Liu, Seungwhan Moon, Paul A. Crook, Zhenpeng Zhou, Zhiguang Wang, Zhou Yu, Andrea Madotto, Eunjoon Cho, Rajen Subba |
| 2021 | NAACL | Adding Chit-Chat to Enhance Task-Oriented Dialogues. | Kai Sun, Seungwhan Moon, Paul A. Crook, Stephen Roller, Becka Silvert, Bing Liu, Zhiguang Wang, Honglei Liu, Eunjoon Cho, Claire Cardie |
| 2021 | QRS | A Quantitative Evaluation Method of Software Usability Based on Improved GOMS Model. | Kunlong Wang, Kanjing Li, Jinhua Gao, Bing Liu, Zhi Fang, Wenjun Ke |
| 2021 | WCNC | CFN-dyncast: Load Balancing the Edges via the Network. | Bing Liu, Jianwei Mao, Ling Xu, Ruizhao Hu, Xia Chen |
| 2020 | AAAI | Learning on the Job: Online Lifelong and Continual Learning. | Bing Liu |
| 2020 | ACL | Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification. | Nianzu Ma, Sahisnu Mazumder, Hao Wang, Bing Liu |
| 2020 | ACL | Feature Projection for Improved Text Classification. | Qi Qin, Wenpeng Hu, Bing Liu |
| 2020 | COLING | Translation vs. Dialogue: A Comparative Analysis of Sequence-to-Sequence Modeling. | Wenpeng Hu, Ran Le, Bing Liu, Jinwen Ma, Dongyan Zhao, Rui Yan |
| 2020 | COLING | Transformation of Dense and Sparse Text Representations. | Wenpeng Hu, Mengyu Wang, Bing Liu, Feng Ji, Jinwen Ma, Dongyan Zhao |
| 2020 | COLING | Bayes-enhanced Lifelong Attention Networks for Sentiment Classification. | Hao Wang, Shuai Wang, Sahisnu Mazumder, Bing Liu, Yan Yang, Tianrui Li |
| 2020 | COLING | User Memory Reasoning for Conversational Recommendation. | Hu Xu, Seungwhan Moon, Honglei Liu, Bing Liu, Pararth Shah, Philip S. Yu |
| 2020 | COLING | Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. | Hu Xu, Lei Shu, Philip S. Yu, Bing Liu |
| 2020 | DAC | A Model Checking-based Analysis Framework for Systems Biology Models. | Bing Liu, Sara Safa |
| 2020 | DASFAA | Adversarial Generation of Target Review for Rating Prediction. | Huilin Yu, Tieyun Qian, Yile Liang, Bing Liu |
| 2020 | EMNLP | Controllable Text Generation with Focused Variation. | Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gkhan Tr, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino |
| 2020 | EMNLP | A Knowledge-driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining. | Jiahua Chen, Shuai Wang, Sahisnu Mazumder, Bing Liu |
| 2020 | EMNLP | Using the Past Knowledge to Improve Sentiment Classification. | Qi Qin, Wenpeng Hu, Bing Liu |
| 2020 | EMNLP | DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis. | Hu Xu, Bing Liu, Lei Shu, Philip S. Yu |
| 2020 | FlAIRS | Goal Summarization for Human-Human Health Coaching Dialogues. | Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Bing Liu, Ben S. Gerber, Lisa K. Sharp |
| 2020 | ICCE | International Student Perspectives on Simulated Preservice Induction. | Jon Mason, Nicolas Gromik, Khalid Khan, Bing Liu |
| 2020 | ICDCS | A Multi-node Collaborative Storage Strategy via Clustering in Blockchain Network. | Mengya Li, Yang Qin, Bing Liu, Xiaowen Chu |
| 2020 | ICPP | Extremely Low-bit Convolution Optimization for Quantized Neural Network on Modern Computer Architectures. | Qingchang Han, Yongmin Hu, Fengwei Yu, Hailong Yang, Bing Liu, Peng Hu, Ruihao Gong, Yanfei Wang, Rui Wang, Zhongzhi Luan, Depei Qian |
| 2020 | iLRN | Doctoral Colloquium - Towards a Better User Interface of Augmented Reality Based Indoor Navigation Application. | Bing Liu, Liqiu Meng |
| 2019 | ACL | DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. | Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang |
| 2019 | ACML | Forward and Backward Knowledge Transfer for Sentiment Classification. | Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang |
| 2019 | CEC | A Novel Binary Negatively Correlated Search for Wind Farm Layout Optimization. | Qun Niu, Kecheng Jiang, Bing Liu |
| 2019 | DASFAA | Adversarial Discriminative Denoising for Distant Supervision Relation Extraction. | Bing Liu, Huan Gao, Guilin Qi, Shangfu Duan, Tianxing Wu, Meng Wang |
| 2019 | DASFAA | Sentiment Classification by Leveraging the Shared Knowledge from a Sequence of Domains. | Guangyi Lv, Shuai Wang, Bing Liu, Enhong Chen, Kun Zhang |
| 2019 | EMNLP | Modeling Multi-Action Policy for Task-Oriented Dialogues. | Lei Shu, Hu Xu, Bing Liu, Piero Molino |
| 2019 | EMNLP | Learning with Noisy Labels for Sentence-level Sentiment Classification. | Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li |
| 2019 | FUSION | Some Results on Generalized Ellipsoid Intersection Fusion. | Hanning Tang, Haiqi Liu, Bing Liu, Xiaojing Shen, Pramod K. Varshney |
| 2019 | ICDE | Reducing Forks in the Blockchain via Probabilistic Verification. | Bing Liu, Yang Qin, Xiaowen Chu |
| 2019 | ICLR | Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation. | Wenpeng Hu, Zhou Lin, Bing Liu, Chongyang Tao, Zhengwei Tao, Jinwen Ma, Dongyan Zhao, Rui Yan |
| 2019 | IJCAI | GSN: A Graph-Structured Network for Multi-Party Dialogues. | Wenpeng Hu, Zhangming Chan, Bing Liu, Dongyan Zhao, Jinwen Ma, Rui Yan |
| 2019 | IJCAI | Spectral Perturbation Meets Incomplete Multi-view Data. | Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou |
| 2019 | IJCNN | Incorporating Human Knowledge in Neural Relation Extraction with Reinforcement Learning. | Bing Liu, Guilin Qi, Lu Pan, Shangfu Duan, Tianxing Wu |
| 2019 | NAACL | BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. | Hu Xu, Bing Liu, Lei Shu, Philip S. Yu |
| 2018 | AAAI | Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models. | Bing Liu, Tong Yu, Ian R. Lane, Ole J. Mengshoel |
| 2018 | AAAI | Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory. | Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu |
| 2018 | ACL | Target-Sensitive Memory Networks for Aspect Sentiment Classification. | Shuai Wang, Sahisnu Mazumder, Bing Liu, Mianwei Zhou, Yi Chang |
| 2018 | ACL | Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. | Hu Xu, Bing Liu, Lei Shu, Philip S. Yu |
| 2018 | AMIA | What Makes Us Care: Analyzing Trends and Topics of Public Interests in HPV Vaccines over a Decade. | Jessie Chin, Chieh-Li Chin, Anoosheh Ghazanfari, Bing Liu, Alan Schwartz, Rachel Caskey |
| 2018 | COLING | An Attribute Enhanced Domain Adaptive Model for Cold-Start Spam Review Detection. | Zhenni You, Tieyun Qian, Bing Liu |
| 2018 | ICLR | Aspect-based Question Generation. | Wenpeng Hu, Bing Liu, Jinwen Ma, Dongyan Zhao, Rui Yan |
| 2018 | IJCAI | Lifelong Domain Word Embedding via Meta-Learning. | Hu Xu, Bing Liu, Lei Shu, Philip S. Yu |
| 2018 | Interspeech | Online Incremental Learning for Speaker-Adaptive Language Models. | Chih Chi Hu, Bing Liu, John Shen, Ian R. Lane |
| 2018 | ISCC | RM-KVStore: New MXNet KVStore to Accelerate Transfer Performancewith RDMA. | Baocai Lv, Bing Liu, Fang Liu, Nong Xiao, Zhiguang Chen |
| 2018 | NAACL | End-to-End Learning of Task-Oriented Dialogs. | Bing Liu, Ian R. Lane |
| 2018 | NAACL | Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems. | Bing Liu, Gkhan Tr, Dilek Hakkani-Tr, Pararth Shah, Larry P. Heck |
| 2018 | NAACL | Bootstrapping a Neural Conversational Agent with Dialogue Self-Play, Crowdsourcing and On-Line Reinforcement Learning. | Pararth Shah, Dilek Hakkani-Tr, Bing Liu, Gkhan Tr |
| 2017 | ACL | Lifelong Learning CRF for Supervised Aspect Extraction. | Lei Shu, Hu Xu, Bing Liu |
| 2017 | ASRU | Iterative policy learning in end-to-end trainable task-oriented neural dialog models. | Bing Liu, Ian R. Lane |
| 2017 | EMNLP | DOC: Deep Open Classification of Text Documents. | Lei Shu, Hu Xu, Bing Liu |
| 2017 | EMNLP | Sentiment Lexicon Expansion Based on Neural PU Learning, Double Dictionary Lookup, and Polarity Association. | Yasheng Wang, Yang Zhang, Bing Liu |
| 2017 | ICASSP | Dialog context language modeling with recurrent neural networks. | Bing Liu, Ian R. Lane |
| 2017 | IJCAI | Context-aware Path Ranking for Knowledge Base Completion. | Sahisnu Mazumder, Bing Liu |
| 2017 | Interspeech | An End-to-End Trainable Neural Network Model with Belief Tracking for Task-Oriented Dialog. | Bing Liu, Ian R. Lane |
| 2017 | KDD | Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews. | Konstantin Bauman, Bing Liu, Alexander Tuzhilin |
| 2017 | WWW | Bimodal Distribution and Co-Bursting in Review Spam Detection. | Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao |
| 2016 | AAAI | Improving Opinion Aspect Extraction Using Semantic Similarity and Aspect Associations. | Qian Liu, Bing Liu, Yuanlin Zhang, Doo Soon Kim, Zhiqiang Gao |
| 2016 | AAAI | Identifying Search Keywords for Finding Relevant Social Media Posts. | Shuai Wang, Zhiyuan Chen, Bing Liu, Sherry Emery |
| 2016 | CICLING | Discovering Correspondence of Sentiment Words and Aspects. | Geli Fei, Zhiyuan (Brett) Chen, Arjun Mukherjee, Bing Liu |
| 2016 | EMNLP | Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets. | Lei Shu, Bing Liu, Hu Xu, Annice Kim |
| 2016 | ICNC | PLC-RED-based AQM algorithm in terminal communication access network. | Qinghai Ou, Zhe Zhang, Wanqing Yang, Bing Liu, Yu Tian, Zhao Liu, Yaomu Tan, Liangrui Tang |
| 2016 | Interspeech | Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling. | Bing Liu, Ian R. Lane |
| 2016 | KDD | Lifelong Machine Learning and Computer Reading the Web. | Zhiyuan Chen, Estevam R. Hruschka Jr., Bing Liu |
| 2016 | KDD | Learning Cumulatively to Become More Knowledgeable. | Geli Fei, Shuai Wang, Bing Liu |
| 2016 | KDD | Targeted Topic Modeling for Focused Analysis. | Shuai Wang, Zhiyuan Chen, Geli Fei, Bing Liu, Sherry Emery |
| 2016 | NAACL | Breaking the Closed World Assumption in Text Classification. | Geli Fei, Bing Liu |
| 2016 | RecSys | Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews. | Konstantin Bauman, Bing Liu, Alexander Tuzhilin |
| 2015 | AAAI | Extracting Verb Expressions Implying Negative Opinions. | Huayi Li, Arjun Mukherjee, Jianfeng Si, Bing Liu |
| 2015 | ACL | Lifelong Learning for Sentiment Classification. | Zhiyuan Chen, Nianzu Ma, Bing Liu |
| 2015 | EMNLP | Social Media Text Classification under Negative Covariate Shift. | Geli Fei, Bing Liu |
| 2015 | IJCAI | Automated Rule Selection for Aspect Extraction in Opinion Mining. | Qian Liu, Zhiqiang Gao, Bing Liu, Yuanlin Zhang |
| 2015 | ICWSM | Analyzing and Detecting Opinion Spam on a Large-scale Dataset via Temporal and Spatial Patterns. | Huayi Li, Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Jidong Shao |
| 2014 | ACL | Aspect Extraction with Automated Prior Knowledge Learning. | Zhiyuan Chen, Arjun Mukherjee, Bing Liu |
| 2014 | ACL | Tri-Training for Authorship Attribution with Limited Training Data. | Tieyun Qian, Bing Liu, Li Chen, Zhiyong Peng |
| 2014 | CICLING | Sentence-Level Sentiment Analysis in the Presence of Modalities. | Yang Liu, Xiaohui Yu, Bing Liu, Zhongshuai Chen |
| 2014 | COLING | Review Topic Discovery with Phrases using the Plya Urn Model. | Geli Fei, Zhiyuan Chen, Bing Liu |
| 2014 | EMNLP | Exploiting Social Relations and Sentiment for Stock Prediction. | Jianfeng Si, Arjun Mukherjee, Bing Liu, Sinno Jialin Pan, Qing Li, Huayi Li |
| 2014 | ICDM | Spotting Fake Reviews via Collective Positive-Unlabeled Learning. | Huayi Li, Zhiyuan Chen, Bing Liu, Xiaokai Wei, Jidong Shao |
| 2014 | ICDM | Detecting Campaign Promoters on Twitter Using Markov Random Fields. | Huayi Li, Arjun Mukherjee, Bing Liu, Rachel Kornfield, Sherry Emery |
| 2014 | ICML | Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data. | Zhiyuan Chen, Bing Liu |
| 2014 | Interspeech | A hierarchical viterbi algorithm for Mandarin hybrid speech synthesis system. | Ran Zhang, Zhengqi Wen, Jianhua Tao, Ya Li, Bing Liu, Xiaoyan Lou |
| 2014 | IECON | A rotor initial position estimation method for sensorless control of SPMSM. | Bing Liu, Bo Zhou, Jiadan Wei, Haidong Liu, Jie Li, Long Wang |
| 2014 | KDD | Mining topics in documents: standing on the shoulders of big data. | Zhiyuan Chen, Bing Liu |
| 2013 | ACL | Discovering User Interactions in Ideological Discussions. | Arjun Mukherjee, Bing Liu |
| 2013 | ACL | Public Dialogue: Analysis of Tolerance in Online Discussions. | Arjun Mukherjee, Vivek Venkataraman, Bing Liu, Sharon Meraz |
| 2013 | ACL | Exploiting Topic based Twitter Sentiment for Stock Prediction. | Jianfeng Si, Arjun Mukherjee, Bing Liu, Qing Li, Huayi Li, Xiaotie Deng |
| 2013 | CIKM | Discovering coherent topics using general knowledge. | Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Mal Castellanos, Riddhiman Ghosh |
| 2013 | CIKM | Sentiment analysis of sentences with modalities. | Yang Liu, Xiaohui Yu, Zhongshuai Chen, Bing Liu |
| 2013 | EMNLP | Exploiting Domain Knowledge in Aspect Extraction. | Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Mal Castellanos, Riddhiman Ghosh |
| 2013 | EMNLP | Identifying Multiple Userids of the Same Author. | Tieyun Qian, Bing Liu |
| 2013 | IJCAI | Leveraging Multi-Domain Prior Knowledge in Topic Models. | Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Mal Castellanos, Riddhiman Ghosh |
| 2013 | ICWSM | Exploiting Burstiness in Reviews for Review Spammer Detection. | Geli Fei, Arjun Mukherjee, Bing Liu, Meichun Hsu, Mal Castellanos, Riddhiman Ghosh |
| 2013 | ICWSM | What Yelp Fake Review Filter Might Be Doing? | Arjun Mukherjee, Vivek Venkataraman, Bing Liu, Natalie S. Glance |
| 2013 | IVCNZ | Bowstring-based dual-threshold computation method for adaptive Canny edge detector. | Xiangdong Liu, Yin Yu, Bing Liu, Zhen Li |
| 2013 | KDD | Spotting opinion spammers using behavioral footprints. | Arjun Mukherjee, Abhinav Kumar, Bing Liu, Junhui Wang, Meichun Hsu, Mal Castellanos, Riddhiman Ghosh |
| 2013 | NAACL | Identifying Intention Posts in Discussion Forums. | Zhiyuan Chen, Bing Liu, Meichun Hsu, Mal Castellanos, Riddhiman Ghosh |
| 2012 | ACL | Aspect Extraction through Semi-Supervised Modeling. | Arjun Mukherjee, Bing Liu |
| 2012 | ACL | Modeling Review Comments. | Arjun Mukherjee, Bing Liu |
| 2012 | CIKM | Diversionary comments under political blog posts. | Jing Wang, Clement T. Yu, Philip S. Yu, Bing Liu, Weiyi Meng |
| 2012 | COLING | A Dictionary-Based Approach to Identifying Aspects Implied by Adjectives for Opinion Mining. | Geli Fei, Bing Liu, Meichun Hsu, Mal Castellanos, Riddhiman Ghosh |
| 2012 | COLING | Analysis of Linguistic Style Accommodation in Online Debates. | Arjun Mukherjee, Bing Liu |
| 2012 | ICARCV | Fault tolerant control for uncertain systems with actuator stochastic failures. | Huijin Fan, Bing Liu, Yindong Shen |
| 2012 | ISNN | Speed Limit Sign Recognition Using Log-Polar Mapping and Visual Codebook. | Bing Liu, Huaping Liu, Xiong Luo, Fuchun Sun |
| 2012 | KDD | Mining contentions from discussions and debates. | Arjun Mukherjee, Bing Liu |
| 2012 | WWW | Spotting fake reviewer groups in consumer reviews. | Arjun Mukherjee, Bing Liu, Natalie S. Glance |
| 2011 | AAAI | Identifying Evaluative Sentences in Online Discussions. | Zhongwu Zhai, Bing Liu, Lei Zhang, Hua Xu, Peifa Jia |
| 2011 | ACL | Identifying Noun Product Features that Imply Opinions. | Lei Zhang, Bing Liu |
| 2011 | ICDM | Review Graph Based Online Store Review Spammer Detection. | Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu |
| 2011 | ICONIP | Nonlinear Nearest Subspace Classifier. | Li Zhang, Weida Zhou, Bing Liu |
| 2011 | IJCNLP | Extracting Resource Terms for Sentiment Analysis. | Lei Zhang, Bing Liu |
| 2011 | ICWS | A New QoS Prediction Approach Based on User Clustering and Regression Algorithms. | Yuliang Shi, Kun Zhang, Bing Liu, Li-zhen Cui |
| 2011 | PAKDD | Constrained LDA for Grouping Product Features in Opinion Mining. | Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia |
| 2011 | WWW | Detecting group review spam. | Arjun Mukherjee, Bing Liu, Junhui Wang, Natalie S. Glance, Nitin Jindal |
| 2010 | ACL | Distributional Similarity vs. PU Learning for Entity Set Expansion. | Xiaoli Li, Lei Zhang, Bing Liu, See-Kiong Ng |
| 2010 | CIKM | Finding unusual review patterns using unexpected rules. | Nitin Jindal, Bing Liu, Ee-Peng Lim |
| 2010 | CIKM | Detecting product review spammers using rating behaviors. | Ee-Peng Lim, Viet-An Nguyen, Nitin Jindal, Bing Liu, Hady Wirawan Lauw |
| 2010 | CIKM | Keynote speaker. | Bing Liu |
| 2010 | COLING | Resolving Object and Attribute Coreference in Opinion Mining. | Xiaowen Ding, Bing Liu |
| 2010 | COLING | Dependency-Driven Feature-based Learning for Extracting Protein-Protein Interactions from Biomedical Text. | Bing Liu, Longhua Qian, Hongling Wang, Guodong Zhou |
| 2010 | COLING | Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints. | Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia |
| 2010 | COLING | Extracting and Ranking Product Features in Opinion Documents. | Lei Zhang, Bing Liu, Suk Hwan Lim, Eamonn O'Brien-Strain |
| 2010 | EMNLP | Negative Training Data Can be Harmful to Text Classification. | Xiaoli Li, Bing Liu, See-Kiong Ng |
| 2010 | EMNLP | Improving Gender Classification of Blog Authors. | Arjun Mukherjee, Bing Liu |
| 2010 | ICA3PP | A Remote Mirroring Architecture with Adaptively Cooperative Pipelining. | Yongzhi Song, Zhenhai Zhao, Bing Liu, Tingting Qin, Gang Wang, Xiaoguang Liu |
| 2010 | PAKDD | Hierarchical Web-Page Clustering via In-Page and Cross-Page Link Structures. | Cindy Xide Lin, Yintao Yu, Jiawei Han, Bing Liu |
| 2010 | WWW | Entity relation discovery from web tables and links. | Cindy Xide Lin, Bo Zhao, Tim Weninger, Jiawei Han, Bing Liu |
| 2009 | CIKM | What's behind topic formation and development: a perspective of community core groups. | Tieyun Qian, Qing Li, Bing Liu, Hui Xiong, Jaideep Srivastava, Phillip C.-Y. Sheu |
| 2009 | EMNLP | Sentiment Analysis of Conditional Sentences. | Ramanathan Narayanan, Bing Liu, Alok N. Choudhary |
| 2009 | HIS | Design and Simulated Implementation of MATLAB-Based Warning System for Fatigue Driving Driver. | Jian Wang, Bing Liu |
| 2009 | ICDE | Finding Actionable Knowledge via Automated Comparison. | Lei Zhang, Bing Liu, Jeffrey Benkler, Chi Zhou |
| 2009 | IJCAI | Expanding Domain Sentiment Lexicon through Double Propagation. | Guang Qiu, Bing Liu, Jiajun Bu, Chun Chen |
| 2009 | IJCNN | A speed-up algorithm for Poisson Propagation. | Bing Liu, Mingjie Qian |
| 2009 | ISCAS | A Low-noise Monolithic CMOS Bio-potential Detector. | Sheung Wai Fung, Bing Liu, George Jie Yuan, Qing Guo |
| 2009 | ISCAS | A Wide Dynamic Range High Linearity In-pixel Data Acquisition Front-end for Computed Tomography. | Bing Liu, George Jie Yuan |
| 2009 | KDD | Entity discovery and assignment for opinion mining applications. | Xiaowen Ding, Bing Liu, Lei Zhang |
| 2008 | COLING | Mining Opinions in Comparative Sentences. | Murthy Ganapathibhotla, Bing Liu |
| 2008 | ICDM | Time Sensitive Ranking with Application to Publication Search. | Xin Li, Bing Liu, Philip S. Yu |
| 2007 | ICDM | Analyzing and Detecting Review Spam. | Nitin Jindal, Bing Liu |
| 2007 | IJCAI | Learning to Identify Unexpected Instances in the Test Set. | Xiaoli Li, Bing Liu, See-Kiong Ng |
| 2007 | VTC | An Energy-Efficient Medium Access Control for Wireless Sensor Networks. | Bing Liu, Lin Zhang, Yumei Wang, Huimin Zhang |
| 2007 | WWW | Review spam detection. | Nitin Jindal, Bing Liu |
| 2006 | AAAI | Opinion Extraction and Summarization on the Web. | Minqing Hu, Bing Liu |
| 2006 | AAAI | Mining Comparative Sentences and Relations. | Nitin Jindal, Bing Liu |
| 2006 | AAAI | Automatic Wrapper Generation Using Tree Matching and Partial Tree Alignment. | Yanhong Zhai, Bing Liu |
| 2006 | APWEB | A Grid-Based System for the Multi-reservoir Optimal Scheduling in Huaihe River Basin. | Bing Liu, Huaping Chen, Guoyi Zhang, Shijin Xu |
| 2006 | CIKM | Measuring the meaning in time series clustering of text search queries. | Bing Liu, Rosie Jones, Kristina Lisa Klinkner |
| 2006 | ICDM | Mining Latent Associations of Objects Using a Typed Mixture Model--A Case Study on Expert/Expertise Mining. | Shenghua Bao, Yunbo Cao, Bing Liu, Yong Yu, Hang Li |
| 2006 | ISDA | PublicWatermarking Algorithm Based on the Polarity of DCT Coefficients. | Peng-fei Yu, Bing Liu |
| 2006 | KDD | Rule interestingness analysis using OLAP operations. | Bing Liu, Kaidi Zhao, Jeffrey Benkler, Weimin Xiao |
| 2006 | KDD | Opportunity map: identifying causes of failure - a deployed data mining system. | Kaidi Zhao, Bing Liu, Jeffrey Benkler, Weimin Xiao |
| 2005 | CIKM | Mining community structure of named entities from free text. | Xin Li, Bing Liu |
| 2005 | CIKM | Opportunity map: a visualization framework for fast identification of actionable knowledge. | Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xiao |
| 2005 | GRC | Classification using support vector machines with graded resolution. | Lipo Wang, Bing Liu, Chunru Wan |
| 2005 | ICDM | A Visual Data Mining Framework for Convenient Identification of Useful Knowledge. | Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xiao |
| 2005 | ICWS | A Small Listener for Heterogeneous Mobile Devices: A Service Enabler with a Uniform Web Object View. | Bing Liu, Sushil K. Prasad, Erdogan Dogdu |
| 2005 | ISNN | On the Universal Approximation Theorem of Fuzzy Neural Networks with Random Membership Function Parameters. | Lipo Wang, Bing Liu, Chunru Wan |
| 2005 | WWW | Opinion observer: analyzing and comparing opinions on the Web. | Bing Liu, Minqing Hu, Junsheng Cheng |
| 2004 | AAAI | Mining Opinion Features in Customer Reviews. | Minqing Hu, Bing Liu |
| 2004 | AAAI | Text Classification by Labeling Words. | Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu |
| 2004 | CIS | A Novel RBF Neural Network with Fast Training and Accurate Generalization. | Lipo Wang, Bing Liu, Chunru Wan |
| 2004 | DASFAA | Semi-supervised Text Classification Using Partitioned EM. | Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu |
| 2004 | IJCNN | Unsupervised gene selection via spectral biclustering. | Bing Liu, Chunru Wan, Lipo Wang |
| 2004 | ISNN | A Novel Fuzzy Neural Network with Fast Training and Accurate Generalization. | Lipo Wang, Bing Liu, Chunru Wan |
| 2004 | KDD | Mining and summarizing customer reviews. | Minqing Hu, Bing Liu |
| 2004 | KDD | V-Miner: using enhanced parallel coordinates to mine product design and test data. | Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Schaller |
| 2004 | Middleware | SyD: A Middleware Testbed for Collaborative Applications over Small Heterogeneous Devices and Data Stores. | Sushil K. Prasad, Vijay K. Madisetti, Shamkant B. Navathe, Raj Sunderraman, Erdogan Dogdu, Anu G. Bourgeois, Michael Weeks, Bing Liu, Janaka Balasooriya, Arthi Hariharan, Wanxia Xie, Praveen Madiraju, Srilaxmi Malladi, Raghupathy Sivakumar, Alexander Zelikovsky, Yanqing Zhang, Yi Pan, Saeid Belkasim |
| 2004 | WWW | Dealing with different distributions in learning from. | Xiaoli Li, Bing Liu |
| 2003 | ICDM | Building Text Classifiers Using Positive and Unlabeled Examples. | Bing Liu, Yang Dai, Xiaoli Li, Wee Sun Lee, Philip S. Yu |
| 2003 | ICDM | Detecting Patterns of Change Using Enhanced Parallel Coordinates Visualization. | Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Schaller |
| 2003 | ICML | Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression. | Wee Sun Lee, Bing Liu |
| 2003 | IJCAI | Learning to Classify Texts Using Positive and Unlabeled Data. | Xiaoli Li, Bing Liu |
| 2003 | IJCAI | Web Page Cleaning for Web Mining through Feature Weighting. | Lan Yi, Bing Liu |
| 2003 | KDD | Mining data records in Web pages. | Bing Liu, Robert L. Grossman, Yanhong Zhai |
| 2003 | KDD | Eliminating noisy information in Web pages for data mining. | Lan Yi, Bing Liu, Xiaoli Li |
| 2003 | KES | Accelerated Bundle Adjustment in Multiple-View Reconstruction. | Bing Liu, Maoyuan Yu, Dennis Maier, Reinhard Mnner |
| 2003 | WWW | Mining topic-specific concepts and definitions on the web. | Bing Liu, Chee Wee Chin, Hwee Tou Ng |
| 2002 | CIKM | Using micro information units for internet search. | Xiaoli Li, Tong-Heng Phang, Minqing Hu, Bing Liu |
| 2002 | ICDE | Multivariate Time Series Prediction via Temporal Classification. | Bing Liu, Jing Liu |
| 2002 | ICDM | Speed-up Iterative Frequent Itemset Mining with Constraint Changes. | Gao Cong, Bing Liu |
| 2002 | ICML | Partially Supervised Classification of Text Documents. | Bing Liu, Wee Sun Lee, Philip S. Yu, Xiaoli Li |
| 2002 | KDD | Querying multiple sets of discovered rules. | Alexander Tuzhilin, Bing Liu |
| 2002 | KDD | A refinement approach to handling model misfit in text categorization. | Haoran Wu, Tong-Heng Phang, Bing Liu, Xiaoli Li |
| 2002 | WWW | Visualizing web site comparisons. | Bing Liu, Kaidi Zhao, Lan Yi |
| 2001 | ICDM | Analyzing the Interestingness of Association Rules from the Temporal Dimension. | Bing Liu, Yiming Ma, Ronnie Lee |
| 2001 | KDD | Identifying non-actionable association rules. | Bing Liu, Wynne Hsu, Yiming Ma |
| 2001 | KDD | Discovering the set of fundamental rule changes. | Bing Liu, Wynne Hsu, Yiming Ma |
| 2001 | KDD | Discovering unexpected information from your competitors' web sites. | Bing Liu, Yiming Ma, Philip S. Yu |
| 2000 | AAAI | Intuitive Representation of Decision Trees Using General Rules and Exceptions. | Bing Liu, Minqing Hu, Wynne Hsu |
| 2000 | CIKM | Clustering Through Decision Tree Construction. | Bing Liu, Yiyuan Xia, Philip S. Yu |
| 2000 | COMPSAC | Web for Data Mining Applications. | Bing Liu, Yiming Ma, Ching Kian Wong |
| 2000 | DaWaK | Mining Changes for Real-Life Applications. | Bing Liu, Wynne Hsu, Heng-Siew Han, Yiyuan Xia |
| 2000 | KDD | Exploration mining in diabetic patients databases: findings and conclusions. | Wynne Hsu, Mong-Li Lee, Bing Liu, Tok Wang Ling |
| 2000 | KDD | Multi-level organization and summarization of the discovered rules. | Bing Liu, Minqing Hu, Wynne Hsu |
| 2000 | KDD | Targeting the right students using data mining. | Yiming Ma, Bing Liu, Ching Kian Wong, Philip S. Yu, Shuik Ming Lee |
| 1999 | CIKM | Clustering Transactions Using Large Items. | Ke Wang, Chu Xu, Bing Liu |
| 1999 | ICDAR | Content-based Index and Retrieval Method of Chinese Document Images. | Yaodong He, Zao Jiang, Bing Liu, Hong Zhao |
| 1999 | KDD | Pruning and Summarizing the Discovered Associations. | Bing Liu, Wynne Hsu, Yiming Ma |
| 1999 | KDD | Mining Association Rules with Multiple Minimum Supports. | Bing Liu, Wynne Hsu, Yiming Ma |
| 1999 | KDD | Mining Interesting Knowledge Using DM-II. | Bing Liu, Wynne Hsu, Yiming Ma, Shu Chen |
| 1999 | PAKDD | Visually Aided Exploration of Interesting Association Rules. | Bing Liu, Wynne Hsu, Ke Wang, Shu Chen |
| 1998 | KDD | Integrating Classification and Association Rule Mining. | Bing Liu, Wynne Hsu, Yiming Ma |
| 1998 | KDD | Interestingness-Based Interval Merger for Numeric Association Rules. | Ke Wang, Soon Hock William Tay, Bing Liu |
| 1998 | PRICAI | Using Decision Tree Induction for Discovering Holes in Data. | Bing Liu, Ke Wang, Lai-Fun Mun, Xin-Zhi Qi |
| 1998 | PRICAI | Concurrent Discretization of Multiple Attributes. | Ke Wang, Bing Liu |
| 1997 | IJCAI | Discovering Interesting Holes in Data. | Bing Liu, Liang-Ping Ku, Wynne Hsu |
| 1997 | KDD | Using General Impressions to Analyze Discovered Classification Rules. | Bing Liu, Wynne Hsu, Shu Chen |
| 1997 | LPNMR | Forward and Backward Chaining in Constraint Programming (Abstract). | Joxan Jaffar, Bing Liu, Roland H. C. Yap |
| 1996 | AAAI | Post-Analysis of Learned Rules. | Bing Liu, Wynne Hsu |
| 1996 | AAAI | Using Constraints to Model Disjunctions in Rule-Based Reasoning. | Bing Liu, Joxan Jaffar |
| 1996 | ECAI | Intelligent Route Finding: Combining Knowledge and Cases and an Efficient Search Algorithm. | Bing Liu |
| 1996 | PRICAI | An Improved Generic Arc Consistency Algorithm and Its Specializations. | Bing Liu |
| 1995 | IJCAI | Using Knowledge to Isolate Search in Route Finding. | Bing Liu |
| 1995 | IJCAI | Increasing Functional Constraints Need to Be Checked Only Once. | Bing Liu |
| 1994 | ICTAI | Integrating Rules and Constraints. | Bing Liu |
| 1988 | ECAI | A Reinforcement Approach to Schelduling. | Bing Liu |