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ORCIDBing Liu 0001
Person information
- affiliation: University of Illinois at Chicago, Department of Computer Science, IL, USA
Other persons with the same name
- Bing Liu — disambiguation page
- Bing Liu 0002 — University of South Australia
- Bing Liu 0003 — Google (and 1 more)
- Bing Liu 0004 — Universität Mannheim, Germany
- Bing Liu 0005 — University of Science and Technology of China, Hefei, Anhui, China
- Bing Liu 0006 — Huawei Technologies, Beijing, China (and 1 more)
- Bing Liu 0007 — Concordia University, Montreal, Canada
- Bing Liu 0008
![[0000-0003-2029-5187]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2029-5187")
— Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition - Bing Liu 0009 — Fudan University
- Bing Liu 0010 — Huazhong University of Science and Technology, Department of Mathematics, China
- Bing Liu 0011 — Anshan Normal University, Department of Mathematics
- Bing Liu 0012 — Qualcomm, San Diego, CA, USA (and 1 more)
- Bing Liu 0013 — University of Pittsburgh, Department of Computational & Systems Biology, USA (and 2 more)
- Bing Liu 0014 — Nanyang Technological University, School of Electrical and Electronic Engineering
- Bing Liu 0015 — University of Southern California
- Bing Liu 0016 — China University of Mining and Technology, Xuzhou, China
- Bing Liu 0017 — Georgia State University, Department of Mathematics and Statistics, Atlanta, GA, USA
- Bing Liu 0018 — PLA Information Engineering University, Department of Big Data Analysis, Zhengzhou, China (and 1 more)
- Bing Liu 0019 — Chongqing University, College of Computer Science, Chongqing, China (and 1 more)
- Bing Liu 0020 — Harbin Engineering University, Acoustic Science and Technology Laboratory, Harbin, China
- Bing Liu 0021 — University of Edinburgh, UK
- Bing Liu 0022 — Harbin Institute of Technology, School of Electronics and Information Engineering, Harbin, China
- Bing Liu 0023 — Beijing Normal University, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, China
- Bing Liu 0024 — Facebook AI, Menlo Park, CA, USA (and 1 more)
- Bing Liu 0025 — University of Queensland, Australia
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2020 – today
- 2025
[j53]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu:
Open-world continual learning: Unifying novelty detection and continual learning. Artif. Intell. 338: 104237 (2025)- [j52]Yanni Li, Bing Liu, Tihua Duan, Zhi Wang, Hui Li, Jiangtao Cui:
A Novel Key Point Based MLCS Algorithm for Big Sequences Mining. IEEE Trans. Knowl. Data Eng. 37(1): 15-28 (2025) - 2024
- [j51]Congcong Jiang, Tieyun Qian, Bing Liu:
One General Teacher for Multi-Data Multi-Task: A New Knowledge Distillation Framework for Discourse Relation Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 32: 239-249 (2024) - [c251]Yue Zhou, Barbara Di Eugenio, Brian D. Ziebart, Lisa K. Sharp, Bing Liu, Nikolaos Agadakos:
Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation. LREC/COLING 2024: 11498-11509 - [c250]Gyuhak Kim, Ho-Hsiang Wu, Luca Bondi, Bing Liu:
Multi-Modal Continual Pre-Training For Audio Encoders. ICASSP 2024: 691-695 - [c249]Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo, Bing Liu:
Class Incremental Learning via Likelihood Ratio Based Task Prediction. ICLR 2024 - [c248]Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan, Lidong Bing:
Sentiment Analysis in the Era of Large Language Models: A Reality Check. NAACL-HLT (Findings) 2024: 3881-3906 - [c247]Zhaopeng Xu, Qi Qin, Bing Liu, Dongyan Zhao:
Disentangled Representations for Continual Learning: Overcoming Forgetting and Facilitating Knowledge Transfer. ECML/PKDD (4) 2024: 143-159 - [i80]Changnan Xiao, Bing Liu:
A Theory for Length Generalization in Learning to Reason. CoRR abs/2404.00560 (2024) - [i79]Yue Zhou, Barbara Di Eugenio, Brian D. Ziebart, Lisa K. Sharp, Bing Liu, Ben S. Gerber, Nikolaos Agadakos, Shweta Yadav:
Towards Enhancing Health Coaching Dialogue in Low-Resource Settings. CoRR abs/2404.08888 (2024) - [i78]Yue Zhou, Barbara Di Eugenio, Brian D. Ziebart, Lisa K. Sharp, Bing Liu, Nikolaos Agadakos:
Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation. CoRR abs/2404.10268 (2024) - [i77]Alexander Politowicz, Sahisnu Mazumder, Bing Liu:
Safety through Permissibility: Shield Construction for Fast and Safe Reinforcement Learning. CoRR abs/2405.19414 (2024) - 2023
- [j50]Bing Liu, Sahisnu Mazumder, Eric Robertson, Scott Grigsby:
AI Autonomy: Self-initiated Open-world Continual Learning and Adaptation. AI Mag. 44(2): 185-199 (2023) - [c246]Yijia Shao, Yiduo Guo, Dongyan Zhao, Bing Liu:
Class-Incremental Learning based on Label Generation. ACL (2) 2023: 1263-1276 - [c245]Neeraj Varshney, Himanshu Gupta, Eric Robertson, Bing Liu, Chitta Baral:
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution. ACL (Findings) 2023: 1794-1818 - [c244]Yiduo Guo, Yaobo Liang, Dongyan Zhao, Bing Liu, Nan Duan:
Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast. ACL (1) 2023: 4002-4017 - [c243]Yiduo Guo, Bing Liu, Dongyan Zhao:
Dealing with Cross-Task Class Discrimination in Online Continual Learning. CVPR 2023: 11878-11887 - [c242]Zixuan Ke, Bing Liu, Wenhan Xiong, Asli Celikyilmaz, Haoran Li:
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks. EMNLP (Findings) 2023: 15090-15107 - [c241]Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu:
Continual Pre-training of Language Models. ICLR 2023 - [c240]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu:
Learnability and Algorithm for Continual Learning. ICML 2023: 16877-16896 - [c239]Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu:
Parameter-Level Soft-Masking for Continual Learning. ICML 2023: 17492-17505 - [i76]Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu:
Adapting a Language Model While Preserving its General Knowledge. CoRR abs/2301.08986 (2023) - [i75]Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu:
Continual Learning of Language Models. CoRR abs/2302.03241 (2023) - [i74]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu:
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning. CoRR abs/2304.10038 (2023) - [i73]Neeraj Varshney, Himanshu Gupta, Eric Robertson, Bing Liu, Chitta Baral:
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution. CoRR abs/2305.05079 (2023) - [i72]Yiduo Guo, Yaobo Liang, Dongyan Zhao, Bing Liu, Nan Duan:
Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast. CoRR abs/2305.11449 (2023) - [i71]Yiduo Guo, Bing Liu, Dongyan Zhao:
Dealing with Cross-Task Class Discrimination in Online Continual Learning. CoRR abs/2305.14657 (2023) - [i70]Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan, Lidong Bing:
Sentiment Analysis in the Era of Large Language Models: A Reality Check. CoRR abs/2305.15005 (2023) - [i69]Yijia Shao, Yiduo Guo, Dongyan Zhao, Bing Liu:
Class-Incremental Learning based on Label Generation. CoRR abs/2306.12619 (2023) - [i68]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu:
Learnability and Algorithm for Continual Learning. CoRR abs/2306.12646 (2023) - [i67]Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu:
Parameter-Level Soft-Masking for Continual Learning. CoRR abs/2306.14775 (2023) - [i66]Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo, Bing Liu:
Class Incremental Learning via Likelihood Ratio Based Task Prediction. CoRR abs/2309.15048 (2023) - [i65]Zixuan Ke, Bing Liu, Wenhan Xiong, Asli Celikyilmaz, Haoran Li:
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks. CoRR abs/2310.09436 (2023) - [i64]Changnan Xiao, Bing Liu:
Conditions for Length Generalization in Learning Reasoning Skills. CoRR abs/2311.16173 (2023) - 2022
- [j49]Mi Zhang, Tieyun Qian, Bing Liu:
Exploit Feature and Relation Hierarchy for Relation Extraction. IEEE ACM Trans. Audio Speech Lang. Process. 30: 917-930 (2022) - [j48]Yanni Li, Hui Li, Zhi Wang, Bing Liu, Jiangtao Cui, Hang Fei:
ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering. IEEE Trans. Knowl. Data Eng. 34(2): 617-630 (2022) - [c238]Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu:
Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP. AAAI 2022: 6568-6576 - [c237]Yiduo Guo, Wenpeng Hu, Dongyan Zhao, Bing Liu:
Adaptive Orthogonal Projection for Batch and Online Continual Learning. AAAI 2022: 6783-6791 - [c236]Yue Zhou, Barbara Di Eugenio, Brian D. Ziebart, Lisa K. Sharp, Bing Liu, Ben S. Gerber, Nikolaos Agadakos, Shweta Yadav:
Towards Enhancing Health Coaching Dialogue in Low-Resource Settings. COLING 2022: 694-706 - [c235]Gyuhak Kim, Bing Liu, Zixuan Ke:
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. CoLLAs 2022: 548-563 - [c234]Sepideh Esmaeilpour, Lei Shu, Bing Liu:
Open Set Recognition Via Augmentation-Based Similarity Learning. CoLLAs 2022: 875-885 - [c233]Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu:
Continual Learning Based on OOD Detection and Task Masking. CVPR Workshops 2022: 3855-3865 - [c232]Nianzu Ma, Sahisnu Mazumder, Alexander Politowicz, Bing Liu, Eric Robertson, Scott Grigsby:
Semantic Novelty Detection and Characterization in Factual Text Involving Named Entities. EMNLP 2022: 9225-9252 - [c231]Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu:
Adapting a Language Model While Preserving its General Knowledge. EMNLP 2022: 10177-10188 - [c230]Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu:
Continual Training of Language Models for Few-Shot Learning. EMNLP 2022: 10205-10216 - [c229]Yiduo Guo, Bing Liu, Dongyan Zhao:
Online Continual Learning through Mutual Information Maximization. ICML 2022: 8109-8126 - [c228]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu:
A Theoretical Study on Solving Continual Learning. NeurIPS 2022 - [c227]Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu:
Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning. PAKDD (1) 2022: 367-379 - [c226]Mengyu Wang, Yijia Shao, Haowei Lin, Wenpeng Hu, Bing Liu:
CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection. ECML/PKDD (4) 2022: 502-518 - [c225]Sahisnu Mazumder, Bing Liu:
Continual Learning Dialogue Systems - Learning during Conversation. SIGIR 2022: 3429-3432 - [c224]Reinald Kim Amplayo, Arthur Brazinskas, Yoshi Suhara, Xiaolan Wang, Bing Liu:
Beyond Opinion Mining: Summarizing Opinions of Customer Reviews. SIGIR 2022: 3447-3450 - [c223]Congcong Jiang, Tieyun Qian, Bing Liu:
Knowledge Distillation for Discourse Relation Analysis. WWW (Companion Volume) 2022: 210-214 - [i63]Lei Shu, Hu Xu, Bing Liu, Jiahua Chen:
Zero-Shot Aspect-Based Sentiment Analysis. CoRR abs/2202.01924 (2022) - [i62]Bing Liu, Sahisnu Mazumder, Eric Robertson, Scott Grigsby:
AI Autonomy: Self-Initiation, Adaptation and Continual Learning. CoRR abs/2203.08994 (2022) - [i61]Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu:
Continual Learning Based on OOD Detection and Task Masking. CoRR abs/2203.09450 (2022) - [i60]Sepideh Esmaeilpour, Lei Shu, Bing Liu:
Open-set Recognition via Augmentation-based Similarity Learning. CoRR abs/2203.13238 (2022) - [i59]Reinald Kim Amplayo, Arthur Brazinskas, Yoshi Suhara, Xiaolan Wang, Bing Liu:
Beyond Opinion Mining: Summarizing Opinions of Customer Reviews. CoRR abs/2206.01543 (2022) - [i58]Gyuhak Kim, Zixuan Ke, Bing Liu:
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. CoRR abs/2208.09734 (2022) - [i57]Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu:
Continual Training of Language Models for Few-Shot Learning. CoRR abs/2210.05549 (2022) - [i56]Sahisnu Mazumder, Bing Liu, Shuai Wang, Yingxuan Zhu, Xiaotian Yin, Lifeng Liu, Jian Li:
Knowledge-Guided Exploration in Deep Reinforcement Learning. CoRR abs/2210.15670 (2022) - [i55]Nianzu Ma, Sahisnu Mazumder, Alexander Politowicz, Bing Liu, Eric Robertson, Scott Grigsby:
Semantic Novelty Detection and Characterization in Factual Text Involving Named Entities. CoRR abs/2210.17440 (2022) - [i54]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu:
A Theoretical Study on Solving Continual Learning. CoRR abs/2211.02633 (2022) - [i53]Sahisnu Mazumder, Bing Liu:
Lifelong and Continual Learning Dialogue Systems. CoRR abs/2211.06553 (2022) - [i52]Zixuan Ke, Bing Liu:
Continual Learning of Natural Language Processing Tasks: A Survey. CoRR abs/2211.12701 (2022) - 2021
- [j47]Soujanya Poria, Yew-Soon Ong, Bing Liu, Lidong Bing:
Affect Recognition for Multimodal Natural Language Processing. Cogn. Comput. 13(2): 229-230 (2021) - [j46]Yanni Li, Bing Liu, Yongbo Yu, Hui Li, Jiacan Sun, Jiangtao Cui:
3E-LDA: Three Enhancements to Linear Discriminant Analysis. ACM Trans. Knowl. Discov. Data 15(4): 57:1-57:20 (2021) - [c222]Wenpeng Hu, Qi Qin, Mengyu Wang, Jinwen Ma, Bing Liu:
Continual Learning by Using Information of Each Class Holistically. AAAI 2021: 7797-7805 - [c221]Wenpeng Hu, Ran Le, Bing Liu, Feng Ji, Jinwen Ma, Dongyan Zhao, Rui Yan:
Predictive Adversarial Learning from Positive and Unlabeled Data. AAAI 2021: 7806-7814 - [c220]Bing Liu, Sahisnu Mazumder:
Lifelong and Continual Learning Dialogue Systems: Learning during Conversation. AAAI 2021: 15058-15063 - [c219]Shuai Wang, Guangyi Lv, Sahisnu Mazumder, Bing Liu:
Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon. ACL/IJCNLP (Findings) 2021: 3657-3668 - [c218]Nianzu Ma, Alexander Politowicz, Sahisnu Mazumder, Jiahua Chen, Bing Liu, Eric Robertson, Scott Grigsby:
Semantic Novelty Detection in Natural Language Descriptions. EMNLP (1) 2021: 866-882 - [c217]Zixuan Ke, Bing Liu, Hu Xu, Lei Shu:
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. EMNLP (1) 2021: 6871-6883 - [c216]Yanni Li, Hui Li, Zhi Wang, Bing Liu, Jiangtao Cui, Hang Fei:
ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering (Extended Abstract). ICDE 2021: 2329-2330 - [c215]Zixuan Ke, Hu Xu, Bing Liu:
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. NAACL-HLT 2021: 4746-4755 - [c214]Qi Qin, Wenpeng Hu, Han Peng, Dongyan Zhao, Bing Liu:
BNS: Building Network Structures Dynamically for Continual Learning. NeurIPS 2021: 20608-20620 - [c213]Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu:
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. NeurIPS 2021: 22443-22456 - [c212]Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Bing Liu, Ben S. Gerber, Lisa K. Sharp:
Summarizing Behavioral Change Goals from SMS Exchanges to Support Health Coaches. SIGDIAL 2021: 276-289 - [i51]Geli Fei, Shuai Wang, Bing Liu, Leman Akoglu:
Detecting Changed-Hands Online Review Accounts. CoRR abs/2106.15352 (2021) - [i50]Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu:
Zero-Shot Open Set Detection by Extending CLIP. CoRR abs/2109.02748 (2021) - [i49]Bing Liu, Eric Robertson, Scott Grigsby, Sahisnu Mazumder:
Self-Initiated Open World Learning for Autonomous AI Agents. CoRR abs/2110.11385 (2021) - [i48]Yanni Li, Bing Liu, Kaicheng Yao, Xiaoli Kou, Pengfan Lv, Yueshen Xu, Jiangtao Cui:
Defeating Catastrophic Forgetting via Enhanced Orthogonal Weights Modification. CoRR abs/2111.10078 (2021) - [i47]Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu:
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. CoRR abs/2112.02706 (2021) - [i46]Zixuan Ke, Bing Liu, Hu Xu, Lei Shu:
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. CoRR abs/2112.02714 (2021) - [i45]Zixuan Ke, Hu Xu, Bing Liu:
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. CoRR abs/2112.03271 (2021) - [i44]Zixuan Ke, Bing Liu, Xingchang Huang:
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks. CoRR abs/2112.10017 (2021) - [i43]Zixuan Ke, Bing Liu, Hao Wang, Lei Shu:
Continual Learning with Knowledge Transfer for Sentiment Classification. CoRR abs/2112.10021 (2021) - 2020
- [j45]Huilin Yu, Tieyun Qian, Yile Liang, Bing Liu:
AGTR: Adversarial Generation of Target Review for Rating Prediction. Data Sci. Eng. 5(4): 346-359 (2020) - [j44]Hao Wang, Yan Yang, Bing Liu:
GMC: Graph-Based Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 32(6): 1116-1129 (2020) - [c211]Nianzu Ma, Sahisnu Mazumder, Hao Wang, Bing Liu:
Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification. ACL 2020: 5782-5788 - [c210]Qi Qin, Wenpeng Hu, Bing Liu:
Feature Projection for Improved Text Classification. ACL 2020: 8161-8171 - [c209]Hu Xu, Lei Shu, Philip S. Yu, Bing Liu:
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. COLING 2020: 244-250 - [c208]Hao Wang, Shuai Wang, Sahisnu Mazumder, Bing Liu, Yan Yang, Tianrui Li:
Bayes-enhanced Lifelong Attention Networks for Sentiment Classification. COLING 2020: 580-591 - [c207]Wenpeng Hu, Mengyu Wang, Bing Liu, Feng Ji, Jinwen Ma, Dongyan Zhao:
Transformation of Dense and Sparse Text Representations. COLING 2020: 3257-3267 - [c206]Wenpeng Hu, Ran Le, Bing Liu, Jinwen Ma, Dongyan Zhao, Rui Yan:
Translation vs. Dialogue: A Comparative Analysis of Sequence-to-Sequence Modeling. COLING 2020: 4111-4122 - [c205]Huilin Yu, Tieyun Qian, Yile Liang, Bing Liu:
Adversarial Generation of Target Review for Rating Prediction. DASFAA (2) 2020: 73-89 - [c204]Qi Qin, Wenpeng Hu, Bing Liu:
Using the Past Knowledge to Improve Sentiment Classification. EMNLP (Findings) 2020: 1124-1133 - [c203]Jiahua Chen, Shuai Wang, Sahisnu Mazumder, Bing Liu:
A Knowledge-driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining. EMNLP (Findings) 2020: 1616-1626 - [c202]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis. EMNLP (Findings) 2020: 1725-1731 - [c201]Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gökhan Tür, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino:
Controllable Text Generation with Focused Variation. EMNLP (Findings) 2020: 3805-3817 - [c200]Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Bing Liu, Ben S. Gerber, Lisa K. Sharp:
Goal Summarization for Human-Human Health Coaching Dialogues. FLAIRS 2020: 317-322 - [c199]Wenpeng Hu, Mengyu Wang, Qi Qin, Jinwen Ma, Bing Liu:
HRN: A Holistic Approach to One Class Learning. NeurIPS 2020 - [c198]Zixuan Ke, Bing Liu, Xingchang Huang:
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks. NeurIPS 2020 - [c197]Zixuan Ke, Bing Liu, Hao Wang, Lei Shu:
Continual Learning with Knowledge Transfer for Sentiment Classification. ECML/PKDD (3) 2020: 683-698 - [c196]Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Aiswarya Baiju, Bing Liu, Ben S. Gerber, Lisa K. Sharp, Nadia Nabulsi, Mary Smart:
Human-Human Health Coaching via Text Messages: Corpus, Annotation, and Analysis. SIGdial 2020: 246-256 - [i42]Yanni Li, Bing Liu, Jiangtao Cui, Zhi Wang, Yulong Shen, Yueshen Xu, Kaicheng Yao:
Similarities and Evolutionary Relationships of COVID-19 and Related Viruses. CoRR abs/2003.05580 (2020) - [i41]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis. CoRR abs/2004.13816 (2020) - [i40]Shuai Wang, Guangyi Lv, Sahisnu Mazumder, Bing Liu:
Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon. CoRR abs/2004.14357 (2020) - [i39]Hu Xu, Seungwhan Moon, Honglei Liu, Bing Liu, Pararth Shah, Bing Liu, Philip S. Yu:
User Memory Reasoning for Conversational Recommendation. CoRR abs/2006.00184 (2020) - [i38]Bing Liu, Sahisnu Mazumder:
Lifelong Learning Dialogue Systems: Chatbots that Self-Learn On the Job. CoRR abs/2009.10750 (2020) - [i37]Qi Qin, Wenpeng Hu, Bing Liu:
Text Classification with Novelty Detection. CoRR abs/2009.11119 (2020) - [i36]Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gökhan Tür, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino:
Controllable Text Generation with Focused Variation. CoRR abs/2009.12046 (2020) - [i35]Jiahua Chen, Shuai Wang, Sahisnu Mazumder, Bing Liu:
A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining. CoRR abs/2010.05357 (2020) - [i34]Hu Xu, Lei Shu, Philip S. Yu, Bing Liu:
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. CoRR abs/2011.00169 (2020)
2010 – 2019
- 2019
- [j43]Erik Cambria, Soujanya Poria, Amir Hussain, Bing Liu:
Computational Intelligence for Affective Computing and Sentiment Analysis [Guest Editorial]. IEEE Comput. Intell. Mag. 14(2): 16-17 (2019) - [j42]Hao Wang, Yan Yang, Bing Liu, Hamido Fujita:
A study of graph-based system for multi-view clustering. Knowl. Based Syst. 163: 1009-1019 (2019) - [j41]