Bing Liu

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 152

Top Venues

Publications

Gyuhak Kim, Ho-Hsiang Wu, Luca Bondi, Bing Liu
Multi-Modal Continual Pre-Training For Audio Encoders. ICASSP (2024)
Yue Zhou, Barbara Di Eugenio, Brian D. Ziebart, Lisa K. Sharp, Bing Liu, Nikolaos Agadakos
Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation. CoRR (2024)
Changnan Xiao, Bing Liu
A Theory for Length Generalization in Learning to Reason. CoRR (2024)
Alexander Politowicz, Sahisnu Mazumder, Bing Liu
Safety through Permissibility: Shield Construction for Fast and Safe Reinforcement Learning. CoRR (2024)
Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo, Bing Liu
Class Incremental Learning via Likelihood Ratio Based Task Prediction. ICLR (2024)
Congcong Jiang, Tieyun Qian, Bing Liu
One General Teacher for Multi-Data Multi-Task: A New Knowledge Distillation Framework for Discourse Relation Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Yue Zhou, Barbara Di Eugenio, Brian D. Ziebart, Lisa K. Sharp, Bing Liu, Nikolaos Agadakos
Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation. LREC/COLING (2024)
Zixuan Ke, Bing Liu, Wenhan Xiong, Asli Celikyilmaz, Haoran Li
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks. CoRR (2023)
Changnan Xiao, Bing Liu
Conditions for Length Generalization in Learning Reasoning Skills. CoRR (2023)
Yiduo Guo, Bing Liu, Dongyan Zhao
Dealing with Cross-Task Class Discrimination in Online Continual Learning. CoRR (2023)
Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu
Learnability and Algorithm for Continual Learning. ICML (2023)
Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu
Parameter-Level Soft-Masking for Continual Learning. ICML (2023)
Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu
Continual Pre-training of Language Models. ICLR (2023)
Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu
Continual Learning of Language Models. CoRR (2023)
Yiduo Guo, Yaobo Liang, Dongyan Zhao, Bing Liu, Nan Duan
Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast. CoRR (2023)
Yijia Shao, Yiduo Guo, Dongyan Zhao, Bing Liu
Class-Incremental Learning based on Label Generation. ACL (2) (2023)
Zixuan Ke, Bing Liu, Wenhan Xiong, Asli Celikyilmaz, Haoran Li
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks. EMNLP (Findings) (2023)
Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu
Learnability and Algorithm for Continual Learning. CoRR (2023)
Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo, Bing Liu
Class Incremental Learning via Likelihood Ratio Based Task Prediction. CoRR (2023)
Neeraj Varshney, Himanshu Gupta, Eric Robertson, Bing Liu, Chitta Baral
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution. CoRR (2023)
Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu
Adapting a Language Model While Preserving its General Knowledge. CoRR (2023)
Yiduo Guo, Yaobo Liang, Dongyan Zhao, Bing Liu, Nan Duan
Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast. ACL (1) (2023)
Yijia Shao, Yiduo Guo, Dongyan Zhao, Bing Liu
Class-Incremental Learning based on Label Generation. CoRR (2023)
Neeraj Varshney, Himanshu Gupta, Eric Robertson, Bing Liu, Chitta Baral
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution. ACL (Findings) (2023)
Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning. CoRR (2023)
Bing Liu, Sahisnu Mazumder, Eric Robertson, Scott Grigsby
AI Autonomy: Self-initiated Open-world Continual Learning and Adaptation. AI Mag. 44 (2) (2023)
Gyuhak Kim, Zixuan Ke, Bing Liu
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. CoRR (2022)
Yue Zhou, Barbara Di Eugenio, Brian D. Ziebart, Lisa K. Sharp, Bing Liu, Ben S. Gerber, Nikolaos Agadakos, Shweta Yadav
Towards Enhancing Health Coaching Dialogue in Low-Resource Settings. COLING (2022)
Mengyu Wang, Yijia Shao, Haowei Lin, Wenpeng Hu, Bing Liu
CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection. ECML/PKDD (4) (2022)
Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu
A Theoretical Study on Solving Continual Learning. NeurIPS (2022)
Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu
Continual Training of Language Models for Few-Shot Learning. CoRR (2022)
Zixuan Ke, Bing Liu
Continual Learning of Natural Language Processing Tasks: A Survey. CoRR (2022)
Sepideh Esmaeilpour, Lei Shu, Bing Liu
Open-set Recognition via Augmentation-based Similarity Learning. CoRR (2022)
Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu
Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP. AAAI (2022)
Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu
Continual Training of Language Models for Few-Shot Learning. EMNLP (2022)
Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu
Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning. PAKDD (1) (2022)
Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu
A Theoretical Study on Solving Continual Learning. CoRR (2022)
Sahisnu Mazumder, Bing Liu, Shuai Wang, Yingxuan Zhu, Xiaotian Yin, Lifeng Liu, Jian Li
Knowledge-Guided Exploration in Deep Reinforcement Learning. CoRR (2022)
Gyuhak Kim, Bing Liu, Zixuan Ke
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. CoLLAs (2022)
Bing Liu, Sahisnu Mazumder, Eric Robertson, Scott Grigsby
AI Autonomy: Self-Initiation, Adaptation and Continual Learning. CoRR (2022)
Sahisnu Mazumder, Bing Liu
Lifelong and Continual Learning Dialogue Systems. CoRR (2022)
Sahisnu Mazumder, Bing Liu
Continual Learning Dialogue Systems - Learning during Conversation. SIGIR (2022)
Nianzu Ma, Sahisnu Mazumder, Alexander Politowicz, Bing Liu, Eric Robertson, Scott Grigsby
Semantic Novelty Detection and Characterization in Factual Text Involving Named Entities. EMNLP (2022)
Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu
Continual Learning Based on OOD Detection and Task Masking. CVPR Workshops (2022)
Nianzu Ma, Sahisnu Mazumder, Alexander Politowicz, Bing Liu, Eric Robertson, Scott Grigsby
Semantic Novelty Detection and Characterization in Factual Text Involving Named Entities. CoRR (2022)
Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu
Adapting a Language Model While Preserving its General Knowledge. EMNLP (2022)
Sepideh Esmaeilpour, Lei Shu, Bing Liu
Open Set Recognition Via Augmentation-Based Similarity Learning. CoLLAs (2022)
Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu
Continual Learning Based on OOD Detection and Task Masking. CoRR (2022)
Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. NeurIPS (2021)
Geli Fei, Shuai Wang, Bing Liu, Leman Akoglu
Detecting Changed-Hands Online Review Accounts. CoRR (2021)
Bing Liu, Eric Robertson, Scott Grigsby, Sahisnu Mazumder
Self-Initiated Open World Learning for Autonomous AI Agents. CoRR (2021)
Wenpeng Hu, Ran Le, Bing Liu, Feng Ji, Jinwen Ma, Dongyan Zhao, Rui Yan
Predictive Adversarial Learning from Positive and Unlabeled Data. AAAI (2021)
Nianzu Ma, Alexander Politowicz, Sahisnu Mazumder, Jiahua Chen, Bing Liu, Eric Robertson, Scott Grigsby
Semantic Novelty Detection in Natural Language Descriptions. EMNLP (1) (2021)
Qi Qin, Wenpeng Hu, Han Peng, Dongyan Zhao, Bing Liu
BNS: Building Network Structures Dynamically for Continual Learning. NeurIPS (2021)
Bing Liu, Sahisnu Mazumder
Lifelong and Continual Learning Dialogue Systems: Learning during Conversation. AAAI (2021)
Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Bing Liu, Ben S. Gerber, Lisa K. Sharp
Summarizing Behavioral Change Goals from SMS Exchanges to Support Health Coaches. SIGDIAL (2021)
Shuai Wang, Guangyi Lv, Sahisnu Mazumder, Bing Liu
Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon. ACL/IJCNLP (Findings) (2021)
Soujanya Poria, Yew-Soon Ong, Bing Liu, Lidong Bing
Affect Recognition for Multimodal Natural Language Processing. Cogn. Comput. 13 (2) (2021)
Shuai Wang, Guangyi Lv, Sahisnu Mazumder, Bing Liu
Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon. CoRR (2020)
Nianzu Ma, Sahisnu Mazumder, Hao Wang, Bing Liu
Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification. ACL (2020)
Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Aiswarya Baiju, Bing Liu, Ben S. Gerber, Lisa K. Sharp, Nadia Nabulsi, Mary Smart
Human-Human Health Coaching via Text Messages: Corpus, Annotation, and Analysis. SIGdial (2020)
Wenpeng Hu, Ran Le, Bing Liu, Jinwen Ma, Dongyan Zhao, Rui Yan
Translation vs. Dialogue: A Comparative Analysis of Sequence-to-Sequence Modeling. COLING (2020)
Wenpeng Hu, Mengyu Wang, Bing Liu, Feng Ji, Jinwen Ma, Dongyan Zhao
Transformation of Dense and Sparse Text Representations. COLING (2020)
Jiahua Chen, Shuai Wang, Sahisnu Mazumder, Bing Liu
A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining. CoRR (2020)
Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Bing Liu, Ben S. Gerber, Lisa K. Sharp
Goal Summarization for Human-Human Health Coaching Dialogues. FLAIRS Conference (2020)
Hu Xu, Lei Shu, Philip S. Yu, Bing Liu
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. COLING (2020)
Hu Xu, Lei Shu, Philip S. Yu, Bing Liu
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. CoRR (2020)
Bing Liu, Sahisnu Mazumder
Lifelong Learning Dialogue Systems: Chatbots that Self-Learn On the Job. CoRR (2020)
Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis. EMNLP (Findings) (2020)
Wenpeng Hu, Mengyu Wang, Qi Qin, Jinwen Ma, Bing Liu
HRN: A Holistic Approach to One Class Learning. NeurIPS (2020)
Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gökhan Tür, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino
Controllable Text Generation with Focused Variation. EMNLP (Findings) (2020)
Jiahua Chen, Shuai Wang, Sahisnu Mazumder, Bing Liu
A Knowledge-driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining. EMNLP (Findings) (2020)
Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gökhan Tür, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino
Controllable Text Generation with Focused Variation. CoRR (2020)
Qi Qin, Wenpeng Hu, Bing Liu
Feature Projection for Improved Text Classification. ACL (2020)
Hao Wang, Shuai Wang, Sahisnu Mazumder, Bing Liu, Yan Yang, Tianrui Li
Bayes-enhanced Lifelong Attention Networks for Sentiment Classification. COLING (2020)
Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis. CoRR (2020)
Hao Wang, Yan Yang, Bing Liu
GMC: Graph-Based Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 32 (6) (2020)
Lei Shu, Hu Xu, Bing Liu, Piero Molino
Modeling Multi-Action Policy for Task-Oriented Dialogues. CoRR (2019)
Hao Wang, Yan Yang, Bing Liu, Hamido Fujita
A study of graph-based system for multi-view clustering. Knowl. Based Syst. 163 (2019)
Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li
Learning with Noisy Labels for Sentence-level Sentiment Classification. EMNLP/IJCNLP (1) (2019)
Wenpeng Hu, Mengyu Wang, Bing Liu, Feng Ji, Haiqing Chen, Dongyan Zhao, Jinwen Ma, Rui Yan
Transformation of Dense and Sparse Text Representations. CoRR (2019)
Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür
Flexibly-Structured Model for Task-Oriented Dialogues. CoRR (2019)
Wenpeng Hu, Zhangming Chan, Bing Liu, Dongyan Zhao, Jinwen Ma, Rui Yan
GSN: A Graph-Structured Network for Multi-Party Dialogues. CoRR (2019)
Wenpeng Hu, Zhou Lin, Bing Liu, Chongyang Tao, Zhengwei Tao, Jinwen Ma, Dongyan Zhao, Rui Yan
Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation. ICLR (Poster) (2019)
Erik Cambria, Soujanya Poria, Amir Hussain, Bing Liu
Computational Intelligence for Affective Computing and Sentiment Analysis [Guest Editorial]. IEEE Comput. Intell. Mag. 14 (2) (2019)
Sahisnu Mazumder, Bing Liu, Shuai Wang, Nianzu Ma
Lifelong and Interactive Learning of Factual Knowledge in Dialogues. CoRR (2019)
Lei Shu, Hu Xu, Bing Liu
Controlled CNN-based Sequence Labeling for Aspect Extraction. CoRR (2019)
Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
Review Conversational Reading Comprehension. CoRR (2019)
Shuai Wang, Mianwei Zhou, Sahisnu Mazumder, Bing Liu, Yi Chang
Disentangling Aspect and Opinion Words in Sentiment Analysis Using Lifelong PU Learning. NFMCP@PKDD/ECML (2019)
Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Bing Liu, Ben S. Gerber, Lisa K. Sharp
Modeling Health Coaching Dialogues for Behavioral Goal Extraction. BIBM (2019)
Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. CoRR (2019)
Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou
Spectral Perturbation Meets Incomplete Multi-view Data. CoRR (2019)
Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang
Forward and Backward Knowledge Transfer for Sentiment Classification. CoRR (2019)
Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou
Spectral Perturbation Meets Incomplete Multi-view Data. IJCAI (2019)
Wenpeng Hu, Zhangming Chan, Bing Liu, Dongyan Zhao, Jinwen Ma, Rui Yan
GSN: A Graph-Structured Network for Multi-Party Dialogues. IJCAI (2019)
Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
Open-world Learning and Application to Product Classification. WWW (2019)
Huaishao Luo, Tianrui Li, Bing Liu, Bin Wang, Herwig Unger
Improving Aspect Term Extraction With Bidirectional Dependency Tree Representation. IEEE ACM Trans. Audio Speech Lang. Process. 27 (7) (2019)
Zeng Yu, Tianrui Li, Ning Yu, Yi Pan, Hongmei Chen, Bing Liu
Reconstruction of Hidden Representation for Robust Feature Extraction. ACM Trans. Intell. Syst. Technol. 10 (2) (2019)
Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li
Learning with Noisy Labels for Sentence-level Sentiment Classification. CoRR (2019)
Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang
Forward and Backward Knowledge Transfer for Sentiment Classification. ACML (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bing Liu