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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://dblp1.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 — Institute of Surveying and Mapping, Zhengzhou, China
- 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
- 2023
[i67]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)- [i66]Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu:
Continual Learning of Language Models. CoRR abs/2302.03241 (2023) - [i65]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) - [i64]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) - [i63]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) - [i62]Yiduo Guo, Bing Liu, Dongyan Zhao:
Dealing with Cross-Task Class Discrimination in Online Continual Learning. CoRR abs/2305.14657 (2023) - 2022
- [j48]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) - [j47]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) - [c235]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 - [c234]Yiduo Guo, Wenpeng Hu, Dongyan Zhao, Bing Liu:
Adaptive Orthogonal Projection for Batch and Online Continual Learning. AAAI 2022: 6783-6791 - [c233]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 - [c232]Gyuhak Kim, Bing Liu, Zixuan Ke:
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. CoLLAs 2022: 548-563 - [c231]Sepideh Esmaeilpour, Lei Shu, Bing Liu:
Open Set Recognition Via Augmentation-Based Similarity Learning. CoLLAs 2022: 875-885 - [c230]Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu:
Continual Learning Based on OOD Detection and Task Masking. CVPR Workshops 2022: 3855-3865 - [c229]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 - [c228]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 - [c227]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 - [c226]Yiduo Guo, Bing Liu, Dongyan Zhao:
Online Continual Learning through Mutual Information Maximization. ICML 2022: 8109-8126 - [c225]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu:
A Theoretical Study on Solving Continual Learning. NeurIPS 2022 - [c224]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 - [c223]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 - [c222]Sahisnu Mazumder, Bing Liu:
Continual Learning Dialogue Systems - Learning during Conversation. SIGIR 2022: 3429-3432 - [c221]Congcong Jiang, Tieyun Qian, Bing Liu:
Knowledge Distillation for Discourse Relation Analysis. WWW (Companion Volume) 2022: 210-214 - [i61]Lei Shu, Hu Xu, Bing Liu, Jiahua Chen:
Zero-Shot Aspect-Based Sentiment Analysis. CoRR abs/2202.01924 (2022) - [i60]Bing Liu, Sahisnu Mazumder, Eric Robertson, Scott Grigsby:
AI Autonomy: Self-Initiation, Adaptation and Continual Learning. CoRR abs/2203.08994 (2022) - [i59]Gyuhak Kim, Sepideh Esmaeilpour, Changnan Xiao, Bing Liu:
Continual Learning Based on OOD Detection and Task Masking. CoRR abs/2203.09450 (2022) - [i58]Sepideh Esmaeilpour, Lei Shu, Bing Liu:
Open-set Recognition via Augmentation-based Similarity Learning. CoRR abs/2203.13238 (2022) - [i57]Gyuhak Kim, Zixuan Ke, Bing Liu:
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. CoRR abs/2208.09734 (2022) - [i56]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) - [i55]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) - [i54]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) - [i53]Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Zixuan Ke, Bing Liu:
A Theoretical Study on Solving Continual Learning. CoRR abs/2211.02633 (2022) - [i52]Sahisnu Mazumder, Bing Liu:
Lifelong and Continual Learning Dialogue Systems. CoRR abs/2211.06553 (2022) - [i51]Zixuan Ke, Bing Liu:
Continual Learning of Natural Language Processing Tasks: A Survey. CoRR abs/2211.12701 (2022) - 2021
- [j46]Soujanya Poria, Yew-Soon Ong, Bing Liu, Lidong Bing:
Affect Recognition for Multimodal Natural Language Processing. Cogn. Comput. 13(2): 229-230 (2021) - [j45]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) - [c220]Wenpeng Hu, Qi Qin, Mengyu Wang, Jinwen Ma, Bing Liu:
Continual Learning by Using Information of Each Class Holistically. AAAI 2021: 7797-7805 - [c219]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 - [c218]Bing Liu, Sahisnu Mazumder:
Lifelong and Continual Learning Dialogue Systems: Learning during Conversation. AAAI 2021: 15058-15063 - [c217]Shuai Wang, Guangyi Lv, Sahisnu Mazumder, Bing Liu:
Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon. ACL/IJCNLP (Findings) 2021: 3657-3668 - [c216]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 - [c215]Zixuan Ke, Bing Liu, Hu Xu, Lei Shu:
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. EMNLP (1) 2021: 6871-6883 - [c214]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 - [c213]Zixuan Ke, Hu Xu, Bing Liu:
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. NAACL-HLT 2021: 4746-4755 - [c212]Qi Qin, Wenpeng Hu, Han Peng, Dongyan Zhao, Bing Liu:
BNS: Building Network Structures Dynamically for Continual Learning. NeurIPS 2021: 20608-20620 - [c211]Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu:
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. NeurIPS 2021: 22443-22456 - [c210]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 - [i50]Geli Fei, Shuai Wang, Bing Liu, Leman Akoglu:
Detecting Changed-Hands Online Review Accounts. CoRR abs/2106.15352 (2021) - [i49]Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu:
Zero-Shot Open Set Detection by Extending CLIP. CoRR abs/2109.02748 (2021) - [i48]Bing Liu, Eric Robertson, Scott Grigsby, Sahisnu Mazumder:
Self-Initiated Open World Learning for Autonomous AI Agents. CoRR abs/2110.11385 (2021) - [i47]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) - [i46]Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu:
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. CoRR abs/2112.02706 (2021) - [i45]Zixuan Ke, Bing Liu, Hu Xu, Lei Shu:
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. CoRR abs/2112.02714 (2021) - [i44]Zixuan Ke, Hu Xu, Bing Liu:
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. CoRR abs/2112.03271 (2021) - [i43]Zixuan Ke, Bing Liu, Xingchang Huang:
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks. CoRR abs/2112.10017 (2021) - [i42]Zixuan Ke, Bing Liu, Hao Wang, Lei Shu:
Continual Learning with Knowledge Transfer for Sentiment Classification. CoRR abs/2112.10021 (2021) - 2020
- [j44]Hao Wang, Yan Yang, Bing Liu:
GMC: Graph-Based Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 32(6): 1116-1129 (2020) - [c209]Nianzu Ma, Sahisnu Mazumder, Hao Wang, Bing Liu:
Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification. ACL 2020: 5782-5788 - [c208]Qi Qin, Wenpeng Hu, Bing Liu:
Feature Projection for Improved Text Classification. ACL 2020: 8161-8171 - [c207]Hu Xu, Lei Shu, Philip S. Yu, Bing Liu:
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. COLING 2020: 244-250 - [c206]Hao Wang, Shuai Wang, Sahisnu Mazumder, Bing Liu, Yan Yang, Tianrui Li:
Bayes-enhanced Lifelong Attention Networks for Sentiment Classification. COLING 2020: 580-591 - [c205]Wenpeng Hu, Mengyu Wang, Bing Liu, Feng Ji, Jinwen Ma, Dongyan Zhao:
Transformation of Dense and Sparse Text Representations. COLING 2020: 3257-3267 - [c204]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 - [c203]Qi Qin, Wenpeng Hu, Bing Liu:
Using the Past Knowledge to Improve Sentiment Classification. EMNLP (Findings) 2020: 1124-1133 - [c202]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 - [c201]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis. EMNLP (Findings) 2020: 1725-1731 - [c200]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 - [c199]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 - [c198]Wenpeng Hu, Mengyu Wang, Qi Qin, Jinwen Ma, Bing Liu:
HRN: A Holistic Approach to One Class Learning. NeurIPS 2020 - [c197]Zixuan Ke, Bing Liu, Xingchang Huang:
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks. NeurIPS 2020 - [c196]Zixuan Ke, Bing Liu, Hao Wang, Lei Shu:
Continual Learning with Knowledge Transfer for Sentiment Classification. ECML/PKDD (3) 2020: 683-698 - [c195]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 - [i41]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) - [i40]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis. CoRR abs/2004.13816 (2020) - [i39]Shuai Wang, Guangyi Lv, Sahisnu Mazumder, Bing Liu:
Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon. CoRR abs/2004.14357 (2020) - [i38]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) - [i37]Bing Liu, Sahisnu Mazumder:
Lifelong Learning Dialogue Systems: Chatbots that Self-Learn On the Job. CoRR abs/2009.10750 (2020) - [i36]Qi Qin, Wenpeng Hu, Bing Liu:
Text Classification with Novelty Detection. CoRR abs/2009.11119 (2020) - [i35]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) - [i34]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) - [i33]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]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): 1201-1212 (2019) - [j40]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): 18:1-18:24 (2019) - [c194]Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang:
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. ACL (1) 2019: 591-601 - [c193]Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang:
Forward and Backward Knowledge Transfer for Sentiment Classification. ACML 2019: 457-472 - [c192]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: 1188-1190 - [c191]Guangyi Lv, Shuai Wang, Bing Liu, Enhong Chen, Kun Zhang:
Sentiment Classification by Leveraging the Shared Knowledge from a Sequence of Domains. DASFAA (1) 2019: 795-811 - [c190]Lei Shu, Hu Xu, Bing Liu, Piero Molino:
Modeling Multi-Action Policy for Task-Oriented Dialogues. EMNLP/IJCNLP (1) 2019: 1304-1310 - [c189]Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li:
Learning with Noisy Labels for Sentence-level Sentiment Classification. EMNLP/IJCNLP (1) 2019: 6285-6291 - [c188]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 - [c187]Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou:
Spectral Perturbation Meets Incomplete Multi-view Data. IJCAI 2019: 3677-3683 - [c186]Wenpeng Hu, Zhangming Chan, Bing Liu, Dongyan Zhao, Jinwen Ma, Rui Yan:
GSN: A Graph-Structured Network for Multi-Party Dialogues. IJCAI 2019: 5010-5016 - [c185]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. NAACL-HLT (1) 2019: 2324-2335 - [c184]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: 100-115 - [c183]Sahisnu Mazumder, Bing Liu, Shuai Wang, Nianzu Ma:
Lifelong and Interactive Learning of Factual Knowledge in Dialogues. SIGdial 2019: 21-31 - [c182]Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür:
Flexibly-Structured Model for Task-Oriented Dialogues. SIGdial 2019: 178-187 - [c181]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Open-world Learning and Application to Product Classification. WWW 2019: 3413-3419 - [i32]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Review Conversational Reading Comprehension. CoRR abs/1902.00821 (2019) - [i31]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. CoRR abs/1904.02232 (2019) - [i30]Lei Shu, Hu Xu, Bing Liu:
Controlled CNN-based Sequence Labeling for Aspect Extraction. CoRR abs/1905.06407 (2019) - [i29]Wenpeng Hu, Zhangming Chan, Bing Liu, Dongyan Zhao, Jinwen Ma, Rui Yan:
GSN: A Graph-Structured Network for Multi-Party Dialogues. CoRR abs/1905.13637 (2019) - [i28]Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou:
Spectral Perturbation Meets Incomplete Multi-view Data. CoRR abs/1906.00098 (2019) - [i27]Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang:
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. CoRR abs/1906.01794 (2019) - [i26]Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang:
Forward and Backward Knowledge Transfer for Sentiment Classification. CoRR abs/1906.03506 (2019) - [i25]Sahisnu Mazumder, Bing Liu, Shuai Wang, Nianzu Ma:
Lifelong and Interactive Learning of Factual Knowledge in Dialogues. CoRR abs/1907.13295 (2019) - [i24]Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür:
Flexibly-Structured Model for Task-Oriented Dialogues. CoRR abs/1908.02402 (2019) - [i23]Lei Shu, Hu Xu, Bing Liu, Piero Molino:
Modeling Multi-Action Policy for Task-Oriented Dialogues. CoRR abs/1908.11546 (2019) - [i22]Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li:
Learning with Noisy Labels for Sentence-level Sentiment Classification. CoRR abs/1909.00124 (2019) - [i21]Sahisnu Mazumder, Bing Liu, Shuai Wang, Sepideh Esmaeilpour:
Building an Application Independent Natural Language Interface. CoRR abs/1910.14084 (2019) - [i20]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution. CoRR abs/1911.01460 (2019) - [i19]Wenpeng Hu, Mengyu Wang, Bing Liu, Feng Ji, Haiqing Chen, Dongyan Zhao, Jinwen Ma, Rui Yan:
Transformation of Dense and Sparse Text Representations. CoRR abs/1911.02914 (2019) - 2018
- [b6]Zhiyuan Chen, Bing Liu:
Lifelong Machine Learning, Second Edition. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2018 - [j39]Yuhua Qian, Xinyan Liang, Qi Wang, Jiye Liang, Bing Liu, Andrzej Skowron, Yiyu Yao, Jianmin Ma, Chuangyin Dang:
Local rough set: A solution to rough data analysis in big data. Int. J. Approx. Reason. 97: 38-63 (2018) - [j38]Feijiang Li, Yuhua Qian, Jieting Wang, Chuangyin Dang, Bing Liu:
Cluster's Quality Evaluation and Selective Clustering Ensemble. ACM Trans. Knowl. Discov. Data 12(5): 60:1-60:27 (2018) - [j37]Lei Zhang, Shuai Wang, Bing Liu:
Deep learning for sentiment analysis: A survey. WIREs Data Mining Knowl. Discov. 8(4) (2018) - [c180]