Liu, Bing

75 publications

NeurIPS 2025 AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection Saleh Momeni, Changnan Xiao, Bing Liu

AAAI 2025 Continual Learning Using a Kernel-Based Method over Foundation Models Saleh Momeni, Sahisnu Mazumder, Bing Liu

IJCAI 2025 Counterfactual Knowledge Maintenance for Unsupervised Domain Adaptation Yao Li, Yong Zhou, Jiaqi Zhao, Wen-Liang Du, Rui Yao, Bing Liu

ICML 2025 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

ICLR 2025 Generalizing Reasoning Problems to Longer Lengths Changnan Xiao, Bing Liu

ICLR 2025 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

IJCAI 2025 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

ICML 2025 Understanding the Unfairness in Network Quantization Bing Liu, Wenjun Miao, Boyu Zhang, Qiankun Zhang, Bin Yuan, Jing Wang, Shenghao Liu, Xianjun Deng

ICLR 2024 Class Incremental Learning via Likelihood Ratio Based Task Prediction Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo, Bing Liu

TMLR 2024 Continual Learning: Applications and the Road Forward Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M van de Ven

ECML-PKDD 2024 Disentangled Representations for Continual Learning: Overcoming Forgetting and Facilitating Knowledge Transfer Zhaopeng Xu, Qi Qin, Bing Liu, Dongyan Zhao

AAAI 2024 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

ICML 2024 Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective Yang Chen, Cong Fang, Zhouchen Lin, Bing Liu

NeurIPS 2024 Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach Chaoxi Niu, Guansong Pang, Ling Chen, Bing Liu

ICLR 2023 Continual Pre-Training of Language Models Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu

CVPR 2023 Dealing with Cross-Task Class Discrimination in Online Continual Learning Yiduo Guo, Bing Liu, Dongyan Zhao

IJCAI 2023 Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? Bing Liu, Wei Luo, Gang Li, Jing Huang, Bo Yang

AAAI 2023 Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification Pengyu Xu, Lin Xiao, Bing Liu, Sijin Lu, Liping Jing, Jian Yu

ICML 2023 Learnability and Algorithm for Continual Learning Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu

ICML 2023 Parameter-Level Soft-Masking for Continual Learning Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu

CoLLAs 2022 A Multi-Head Model for Continual Learning via Out-of-Distribution Replay Gyuhak Kim, Bing Liu, Zixuan Ke

NeurIPS 2022 A Theoretical Study on Solving Continual Learning Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu

AAAI 2022 Adaptive Orthogonal Projection for Batch and Online Continual Learning Yiduo Guo, Wenpeng Hu, Dongyan Zhao, Bing Liu

ECML-PKDD 2022 CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection Mengyu Wang, Yijia Shao, Haowei Lin, Wenpeng Hu, Bing Liu

CVPRW 2022 Continual Learning Based on OOD Detection and Task Masking Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu

AAAI 2022 Ensemble Semi-Supervised Entity Alignment via Cycle-Teaching Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou

CVPR 2022 Neural Collaborative Graph Machines for Table Structure Recognition Hao Liu, Xin Li, Bing Liu, Deqiang Jiang, Yinsong Liu, Bo Ren

ICML 2022 Online Continual Learning Through Mutual Information Maximization Yiduo Guo, Bing Liu, Dongyan Zhao

CoLLAs 2022 Open Set Recognition via Augmentation-Based Similarity Learning Sepideh Esmaeilpour, Lei Shu, Bing Liu

CVPR 2022 Show, Deconfound and Tell: Image Captioning with Causal Inference Bing Liu, Dong Wang, Xu Yang, Yong Zhou, Rui Yao, Zhiwen Shao, Jiaqi Zhao

AAAI 2022 Zero-Shot Out-of-Distribution Detection Based on the Pre-Trained Model CLIP Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu

NeurIPS 2021 Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu

NeurIPS 2021 BNS: Building Network Structures Dynamically for Continual Learning Qi Qin, Wenpeng Hu, Han Peng, Dongyan Zhao, Bing Liu

AAAI 2021 Continual Learning by Using Information of Each Class Holistically Wenpeng Hu, Qi Qin, Mengyu Wang, Jinwen Ma, Bing Liu

AAAI 2021 Lifelong and Continual Learning Dialogue Systems: Learning During Conversation Bing Liu, Sahisnu Mazumder

AAAI 2021 Predictive Adversarial Learning from Positive and Unlabeled Data Wenpeng Hu, Ran Le, Bing Liu, Feng Ji, Jinwen Ma, Dongyan Zhao, Rui Yan

NeurIPS 2020 Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks Zixuan Ke, Bing Liu, Xingchang Huang

ECML-PKDD 2020 Continual Learning with Knowledge Transfer for Sentiment Classification Zixuan Ke, Bing Liu, Hao Wang, Lei Shu

NeurIPSW 2020 Continuous and Interactive Factual Knowledge Learning in Verification Dialogues Sahisnu Mazumder, Bing Liu, Nianzu Ma, Shuai Wang

NeurIPS 2020 HRN: A Holistic Approach to One Class Learning Wenpeng Hu, Mengyu Wang, Qi Qin, Jinwen Ma, Bing Liu

AAAI 2020 Learning on the Job: Online Lifelong and Continual Learning Bing Liu

ACML 2019 Forward and Backward Knowledge Transfer for Sentiment Classification Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang

IJCAI 2019 GSN: A Graph-Structured Network for Multi-Party Dialogues Wenpeng Hu, Zhangming Chan, Bing Liu, Dongyan Zhao, Jinwen Ma, Rui Yan

ICLR 2019 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

IJCAI 2019 Spectral Perturbation Meets Incomplete Multi-View Data Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou

AAAI 2018 Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models Bing Liu, Tong Yu, Ian R. Lane, Ole J. Mengshoel

AAAI 2018 Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu

IJCAI 2018 Lifelong Domain Word Embedding via Meta-Learning Hu Xu, Bing Liu, Lei Shu, Philip S. Yu

IJCAI 2017 Context-Aware Path Ranking for Knowledge Base Completion Sahisnu Mazumder, Bing Liu

AAAI 2016 Identifying Search Keywords for Finding Relevant Social Media Posts Shuai Wang, Zhiyuan Chen, Bing Liu, Sherry Emery

AAAI 2016 Improving Opinion Aspect Extraction Using Semantic Similarity and Aspect Associations Qian Liu, Bing Liu, Yuanlin Zhang, Doo Soon Kim, Zhiqiang Gao

IJCAI 2015 Automated Rule Selection for Aspect Extraction in Opinion Mining Qian Liu, Zhiqiang Gao, Bing Liu, Yuanlin Zhang

AAAI 2015 Extracting Verb Expressions Implying Negative Opinions Huayi Li, Arjun Mukherjee, Jianfeng Si, Bing Liu

ICML 2014 Topic Modeling Using Topics from Many Domains, Lifelong Learning and Big Data Zhiyuan Chen, Bing Liu

IJCAI 2013 Leveraging Multi-Domain Prior Knowledge in Topic Models Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh

AAAI 2011 Identifying Evaluative Sentences in Online Discussions Zhongwu Zhai, Bing Liu, Lei Zhang, Hua Xu, Peifa Jia

IJCAI 2009 Expanding Domain Sentiment Lexicon Through Double Propagation Guang Qiu, Bing Liu, Jiajun Bu, Chun Chen

IJCAI 2007 Learning to Identify Unexpected Instances in the Test Set Xiaoli Li, Bing Liu, See-Kiong Ng

AAAI 2006 Automatic Wrapper Generation Using Tree Matching and Partial Tree Alignment Yanhong Zhai, Bing Liu

AAAI 2006 Mining Comparative Sentences and Relations Nitin Jindal, Bing Liu

AAAI 2006 Opinion Extraction and Summarization on the Web Minqing Hu, Bing Liu

ECML-PKDD 2005 Learning from Positive and Unlabeled Examples with Different Data Distributions Xiaoli Li, Bing Liu

AAAI 2004 Mining Opinion Features in Customer Reviews Minqing Hu, Bing Liu

AAAI 2004 Text Classification by Labeling Words Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu

IJCAI 2003 Learning to Classify Texts Using Positive and Unlabeled Data Xiaoli Li, Bing Liu

ICML 2003 Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression Wee Sun Lee, Bing Liu

IJCAI 2003 Web Page Cleaning for Web Mining Through Feature Weighting Lan Yi, Bing Liu

ICML 2002 Partially Supervised Classification of Text Documents Bing Liu, Wee Sun Lee, Philip S. Yu, Xiaoli Li

ECML-PKDD 2001 Efficiently Determining the Starting Sample Size for Progressive Sampling Baohua Gu, Bing Liu, Feifang Hu, Huan Liu

AAAI 2000 Intuitive Representation of Decision Trees Using General Rules and Exceptions Bing Liu, Minqing Hu, Wynne Hsu

IJCAI 1997 Discovering Interesting Holes in Data Bing Liu, Liang-Ping Ku, Wynne Hsu

AAAI 1996 Post-Analysis of Learned Rules Bing Liu, Wynne Hsu

AAAI 1996 Using Constraints to Model Disjunctions in Rule-Based Reasoning Bing Liu, Joxan Jaffar

IJCAI 1995 Increasing Functional Constraints Need to Be Checked Only Once Bing Liu

IJCAI 1995 Using Knowledge to Isolate Search in Route Finding Bing Liu