![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Bing 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
— 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
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 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) - [c249]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 - [c248]Gyuhak Kim, Ho-Hsiang Wu, Luca Bondi, Bing Liu:
Multi-Modal Continual Pre-Training For Audio Encoders. ICASSP 2024: 691-695 - [c247]Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo, Bing Liu:
Class Incremental Learning via Likelihood Ratio Based Task Prediction. ICLR 2024 - [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]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) - [c195]Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang:
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. ACL (1) 2019: 591-601 - [c194]Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang:
Forward and Backward Knowledge Transfer for Sentiment Classification. ACML 2019: 457-472 - [c193]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 - [c192]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 - [c191]Lei Shu, Hu Xu, Bing Liu, Piero Molino:
Modeling Multi-Action Policy for Task-Oriented Dialogues. EMNLP/IJCNLP (1) 2019: 1304-1310 - [c190]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 - [c189]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 - [c188]Hao Wang, Linlin Zong
, Bing Liu, Yan Yang, Wei Zhou:
Spectral Perturbation Meets Incomplete Multi-view Data. IJCAI 2019: 3677-3683 - [c187]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 - [c186]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 - [c185]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 - [c184]Sahisnu Mazumder, Bing Liu, Shuai Wang, Nianzu Ma:
Lifelong and Interactive Learning of Factual Knowledge in Dialogues. SIGdial 2019: 21-31 - [c183]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 - [c182]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Open-world Learning and Application to Product Classification. WWW 2019: 3413-3419 - [i33]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Review Conversational Reading Comprehension. CoRR abs/1902.00821 (2019) - [i32]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) - [i31]Lei Shu, Hu Xu, Bing Liu:
Controlled CNN-based Sequence Labeling for Aspect Extraction. CoRR abs/1905.06407 (2019) - [i30]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) - [i29]Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou:
Spectral Perturbation Meets Incomplete Multi-view Data. CoRR abs/1906.00098 (2019) - [i28]Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang:
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. CoRR abs/1906.01794 (2019) - [i27]Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang:
Forward and Backward Knowledge Transfer for Sentiment Classification. CoRR abs/1906.03506 (2019) - [i26]Sahisnu Mazumder, Bing Liu, Shuai Wang, Nianzu Ma:
Lifelong and Interactive Learning of Factual Knowledge in Dialogues. CoRR abs/1907.13295 (2019) - [i25]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) - [i24]Lei Shu, Hu Xu, Bing Liu, Piero Molino:
Modeling Multi-Action Policy for Task-Oriented Dialogues. CoRR abs/1908.11546 (2019) - [i23]Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li:
Learning with Noisy Labels for Sentence-level Sentiment Classification. CoRR abs/1909.00124 (2019) - [i22]Sahisnu Mazumder, Bing Liu, Shuai Wang, Sepideh Esmaeilpour:
Building an Application Independent Natural Language Interface. CoRR abs/1910.14084 (2019) - [i21]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) - [i20]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, ISBN 978-3-031-00453-7 - [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) - [c181]Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu:
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory. AAAI 2018: 730-739 - [c180]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. ACL (2) 2018: 592-598 - [c179]Shuai Wang, Sahisnu Mazumder, Bing Liu, Mianwei Zhou, Yi Chang
:
Target-Sensitive Memory Networks for Aspect Sentiment Classification. ACL (1) 2018: 957-967 - [c178]Shuai Wang, Guangyi Lv, Sahisnu Mazumder, Geli Fei, Bing Liu:
Lifelong Learning Memory Networks for Aspect Sentiment Classification. IEEE BigData 2018: 861-870 - [c177]Zhenni You, Tieyun Qian, Bing Liu:
An Attribute Enhanced Domain Adaptive Model for Cold-Start Spam Review Detection. COLING 2018: 1884-1895 - [c176]Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Bing Liu, Ben S. Gerber
, Lisa K. Sharp, Rafe Davis, Aiswarya Baiju:
Towards Building a Virtual Assistant Health Coach. ICHI 2018: 419-421 - [c175]Wenpeng Hu, Bing Liu, Jinwen Ma, Dongyan Zhao, Rui Yan:
Aspect-based Question Generation. ICLR (Workshop) 2018 - [c174]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Lifelong Domain Word Embedding via Meta-Learning. IJCAI 2018: 4510-4516 - [e12]Naoki Abe, Huan Liu, Calton Pu, Xiaohua Hu, Nesreen K. Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey S. Saltz:
IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018. IEEE 2018, ISBN 978-1-5386-5035-6 [contents] - [r8]Bing Liu:
Classification by Association Rule Analysis. Encyclopedia of Database Systems (2nd ed.) 2018 - [r7]Bing Liu:
Opinion Mining. Encyclopedia of Database Systems (2nd ed.) 2018 - [r6]Lei Zhang, Bing Liu:
Sentiment Analysis in Social Media, Aspect Extraction for. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i19]Zhiyuan Chen, Nianzu Ma, Bing Liu:
Lifelong Learning for Sentiment Classification. CoRR abs/1801.02808 (2018) - [i18]Lei Shu, Hu Xu, Bing Liu:
Unseen Class Discovery in Open-world Classification. CoRR abs/1801.05609 (2018) - [i17]Shuai Wang, Mianwei Zhou, Geli Fei, Yi Chang, Bing Liu:
Contextual and Position-Aware Factorization Machines for Sentiment Classification. CoRR abs/1801.06172 (2018) - [i16]Lei Zhang, Shuai Wang, Bing Liu:
Deep Learning for Sentiment Analysis : A Survey. CoRR abs/1801.07883 (2018) - [i15]Shuai Wang, Mianwei Zhou, Sahisnu Mazumder, Bing Liu, Yi Chang:
Disentangling Aspect and Opinion Words in Target-based Sentiment Analysis using Lifelong Learning. CoRR abs/1802.05818 (2018) - [i14]Sahisnu Mazumder, Nianzu Ma, Bing Liu:
Towards a Continuous Knowledge Learning Engine for Chatbots. CoRR abs/1802.06024 (2018) - [i13]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. CoRR abs/1805.04601 (2018) - [i12]Huaishao Luo, Tianrui Li, Bing Liu, Bin Wang, Herwig Unger:
Improving Aspect Term Extraction with Bidirectional Dependency Tree Representation. CoRR abs/1805.07889 (2018) - [i11]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Lifelong Domain Word Embedding via Meta-Learning. CoRR abs/1805.09991 (2018) - [i10]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Learning to Accept New Classes without Training. CoRR abs/1809.06004 (2018) - 2017
- [j36]Bing Liu:
Lifelong machine learning: a paradigm for continuous learning. Frontiers Comput. Sci. 11(3): 359-361 (2017) - [c173]Lei Shu, Hu Xu, Bing Liu:
Lifelong Learning CRF for Supervised Aspect Extraction. ACL (2) 2017: 148-154 - [c172]Lei Shu, Hu Xu, Bing Liu:
DOC: Deep Open Classification of Text Documents. EMNLP 2017: 2911-2916 - [c171]Sahisnu Mazumder, Bing Liu:
Context-aware Path Ranking for Knowledge Base Completion. IJCAI 2017: 1195-1201 - [c170]Konstantin Bauman
, Bing Liu, Alexander Tuzhilin:
Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews. KDD 2017: 717-725 - [c169]Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao:
Bimodal Distribution and Co-Bursting in Review Spam Detection. WWW 2017: 1063-1072 - [r5]Lei Zhang, Bing Liu:
Sentiment Analysis and Opinion Mining. Encyclopedia of Machine Learning and Data Mining 2017: 1152-1161 - [r4]Zhiyuan Chen, Bing Liu:
Topic Models for NLP Applications. Encyclopedia of Machine Learning and Data Mining 2017: 1276-1280 - [i9]Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu:
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory. CoRR abs/1704.01074 (2017) - [i8]Bei Liu, Tieyun Qian, Bing Liu, Liang Hong, Zhenni You, Yuxiang Li:
Learning Spatiotemporal-Aware Representation for POI Recommendation. CoRR abs/1704.08853 (2017) - [i7]Lei Shu, Hu Xu, Bing Liu:
Lifelong Learning CRF for Supervised Aspect Extraction. CoRR abs/1705.00251 (2017) - [i6]Lei Shu, Hu Xu, Bing Liu:
DOC: Deep Open Classification of Text Documents. CoRR abs/1709.08716 (2017) - [i5]Zeng Yu, Tianrui Li, Ning Yu, Yi Pan, Hongmei Chen, Bing Liu:
Reconstruction of Hidden Representation for Robust Feature Extraction. CoRR abs/1710.02844 (2017) - [i4]Sahisnu Mazumder, Bing Liu:
Context-aware Path Ranking for Knowledge Base Completion. CoRR abs/1712.07745 (2017) - 2016
- [b5]Zhiyuan Chen, Bing Liu:
Lifelong Machine Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2016, ISBN 978-3-031-01575-5 - [j35]Tieyun Qian
, Bing Liu, Li Chen, Zhiyong Peng, Ming Zhong, Guoliang He, Xuhui Li, Gang Xu:
Tri-Training for authorship attribution with limited training data: a comprehensive study. Neurocomputing 171: 798-806 (2016) - [j34]Liang Yang
, Bing Liu, Hongfei Lin, Yuan Lin:
Combining local and global information for product feature extraction in opinion documents. Inf. Process. Lett. 116(10): 623-627 (2016) - [j33]Qian Liu
, Zhiqiang Gao, Bing Liu, Yuanlin Zhang:
Automated rule selection for opinion target extraction. Knowl. Based Syst. 104: 74-88 (2016) - [j32]Yuhua Qian, Feijiang Li, Jiye Liang
, Bing Liu, Chuangyin Dang
:
Space Structure and Clustering of Categorical Data. IEEE Trans. Neural Networks Learn. Syst. 27(10): 2047-2059 (2016) - [c168]Qian Liu
, Bing Liu, Yuanlin Zhang, Doo Soon Kim, Zhiqiang Gao:
Improving Opinion Aspect Extraction Using Semantic Similarity and Aspect Associations. AAAI 2016: 2986-2992 - [c167]Shuai Wang, Zhiyuan Chen, Bing Liu, Sherry Emery:
Identifying Search Keywords for Finding Relevant Social Media Posts. AAAI 2016: 3052-3058 - [c166]Geli Fei, Zhiyuan (Brett) Chen, Arjun Mukherjee, Bing Liu:
Discovering Correspondence of Sentiment Words and Aspects. CICLing (2) 2016: 233-245 - [c165]Lei Shu, Bing Liu, Hu Xu, Annice Kim
:
Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets. EMNLP 2016: 225-235 - [c164]Shuai Wang, Zhiyuan Chen, Geli Fei, Bing Liu, Sherry Emery:
Targeted Topic Modeling for Focused Analysis. KDD 2016: 1235-1244 - [c163]Geli Fei, Shuai Wang, Bing Liu:
Learning Cumulatively to Become More Knowledgeable. KDD 2016: 1565-1574 - [c162]Zhiyuan Chen, Estevam R. Hruschka Jr., Bing Liu:
Lifelong Machine Learning and Computer Reading the Web. KDD 2016: 2117-2118 - [c161]Geli Fei, Bing Liu:
Breaking the Closed World Assumption in Text Classification. HLT-NAACL 2016: 506-514 - [c160]Konstantin Bauman, Bing Liu, Alexander Tuzhilin:
Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews. CBRecSys@RecSys 2016: 19-22 - [c159]Shuai Wang, Zhiyuan Chen, Bing Liu:
Mining Aspect-Specific Opinion using a Holistic Lifelong Topic Model. WWW 2016: 167-176 - [i3]Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao:
Modeling Review Spam Using Temporal Patterns and Co-bursting Behaviors. CoRR abs/1611.06625 (2016) - [i2]Lei Shu, Bing Liu, Hu Xu, Annice Kim:
Supervised Opinion Aspect Extraction by Exploiting Past Extraction Results. CoRR abs/1612.07940 (2016) - 2015
- [b4]Bing Liu:
Sentiment Analysis - Mining Opinions, Sentiments, and Emotions. Cambridge University Press 2015, ISBN 978-1-10-701789-4, pp. I-XVI, 1-367 - [j31]Tieyun Qian
, Bing Liu, Qing Li
, Jianfeng Si:
Review Authorship Attribution in a Similarity Space. J. Comput. Sci. Technol. 30(1): 200-213 (2015) - [j30]Yuhua Qian, Hang Xu, Jiye Liang
, Bing Liu, Jieting Wang:
Fusing Monotonic Decision Trees. IEEE Trans. Knowl. Data Eng. 27(10): 2717-2728 (2015) - [j29]Jing Wang, Clement T. Yu, Philip S. Yu, Bing Liu, Weiyi Meng:
Diversionary Comments under Blog Posts. ACM Trans. Web 9(4): 18:1-18:34 (2015) - [c158]Huayi Li, Arjun Mukherjee, Jianfeng Si, Bing Liu:
Extracting Verb Expressions Implying Negative Opinions. AAAI 2015: 2411-2417 - [c157]Zhiyuan Chen, Nianzu Ma, Bing Liu:
Lifelong Learning for Sentiment Classification. ACL (2) 2015: 750-756 - [c156]Geli Fei, Bing Liu:
Social Media Text Classification under Negative Covariate Shift. EMNLP 2015: 2347-2356 - [c155]Huayi Li, Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Jidong Shao:
Analyzing and Detecting Opinion Spam on a Large-scale Dataset via Temporal and Spatial Patterns. ICWSM 2015: 634-637 - [c154]Qian Liu, Zhiqiang Gao, Bing Liu, Yuanlin Zhang:
Automated Rule Selection for Aspect Extraction in Opinion Mining. IJCAI 2015: 1291-1297 - [c153]Bing Liu:
Sentiment analysis, lifelong learning, and intelligent personal assistants. TAAI 2015: 28 - 2014
- [j28]Huayi Li, Bing Liu, Arjun Mukherjee, Jidong Shao:
Spotting Fake Reviews using Positive-Unlabeled Learning. Computación y Sistemas 18(3) (2014) - [j27]Tieyun Qian
, Qing Li
, Bing Liu, Hui Xiong, Jaideep Srivastava
, Phillip C.-Y. Sheu
:
Topic formation and development: a core-group evolving process. World Wide Web 17(6): 1343-1373 (2014) - [c152]Tieyun Qian
, Bing Liu, Li Chen, Zhiyong Peng:
Tri-Training for Authorship Attribution with Limited Training Data. ACL (2) 2014: 345-351 - [c151]Zhiyuan Chen, Arjun Mukherjee, Bing Liu:
Aspect Extraction with Automated Prior Knowledge Learning. ACL (1) 2014: 347-358 - [c150]Yang Liu, Xiaohui Yu
, Bing Liu, Zhongshuai Chen:
Sentence-Level Sentiment Analysis in the Presence of Modalities. CICLing (2) 2014: 1-16 - [c149]Geli Fei, Zhiyuan Chen, Bing Liu:
Review Topic Discovery with Phrases using the Pólya Urn Model. COLING 2014: 667-676 - [c148]Jianfeng Si, Arjun Mukherjee, Bing Liu, Sinno Jialin Pan
, Qing Li, Huayi Li:
Exploiting Social Relations and Sentiment for Stock Prediction. EMNLP 2014: 1139-1145 - [c147]Huayi Li, Arjun Mukherjee, Bing Liu, Rachel Kornfield, Sherry Emery:
Detecting Campaign Promoters on Twitter Using Markov Random Fields. ICDM 2014: 290-299 - [c146]Huayi Li, Zhiyuan Chen, Bing Liu, Xiaokai Wei, Jidong Shao:
Spotting Fake Reviews via Collective Positive-Unlabeled Learning. ICDM 2014: 899-904 - [c145]Zhiyuan Chen, Bing Liu:
Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data. ICML 2014: 703-711 - [c144]Zhiyuan Chen, Bing Liu:
Mining topics in documents: standing on the shoulders of big data. KDD 2014: 1116-1125 - [c143]Tieyun Qian
, Bing Liu, Ming Zhong, Guoliang He:
Co-training on authorship attribution with very fewlabeled examples: methods vs. views. SIGIR 2014: 903-906 - [p3]Xiaoli Li, Bing Liu:
Rule-Based Classification. Data Classification: Algorithms and Applications 2014: 121-156 - 2013
- [j26]Erik Cambria
, Björn W. Schuller
, Bing Liu, Haixun Wang, Catherine Havasi:
Knowledge-Based Approaches to Concept-Level Sentiment Analysis. IEEE Intell. Syst. 28(2): 12-14 (2013) - [j25]Erik Cambria
, Björn W. Schuller
, Bing Liu, Haixun Wang, Catherine Havasi:
Statistical Approaches to Concept-Level Sentiment Analysis. IEEE Intell. Syst. 28(3): 6-9 (2013) - [c142]Jianfeng Si, Arjun Mukherjee, Bing Liu, Qing Li, Huayi Li, Xiaotie Deng:
Exploiting Topic based Twitter Sentiment for Stock Prediction. ACL (2) 2013: 24-29 - [c141]Arjun Mukherjee, Bing Liu:
Discovering User Interactions in Ideological Discussions. ACL (1) 2013: 671-681 - [c140]Arjun Mukherjee, Vivek Venkataraman, Bing Liu, Sharon Meraz:
Public Dialogue: Analysis of Tolerance in Online Discussions. ACL (1) 2013: 1680-1690 - [c139]Yang Liu, Xiaohui Yu
, Zhongshuai Chen, Bing Liu:
Sentiment analysis of sentences with modalities. UnstructureNLP@CIKM 2013: 39-44 - [c138]Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Discovering coherent topics using general knowledge. CIKM 2013: 209-218 - [c137]Tieyun Qian, Bing Liu:
Identifying Multiple Userids of the Same Author. EMNLP 2013: 1124-1135 - [c136]Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Exploiting Domain Knowledge in Aspect Extraction. EMNLP 2013: 1655-1667 - [c135]Geli Fei, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Exploiting Burstiness in Reviews for Review Spammer Detection. ICWSM 2013 - [c134]Arjun Mukherjee, Vivek Venkataraman, Bing Liu, Natalie S. Glance:
What Yelp Fake Review Filter Might Be Doing? ICWSM 2013 - [c133]Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Leveraging Multi-Domain Prior Knowledge in Topic Models. IJCAI 2013: 2071-2077 - [c132]Arjun Mukherjee, Abhinav Kumar, Bing Liu, Junhui Wang, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Spotting opinion spammers using behavioral footprints. KDD 2013: 632-640 - [c131]Zhiyuan Chen, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Identifying Intention Posts in Discussion Forums. HLT-NAACL 2013: 1041-1050 - [c130]Qian Liu
, Zhiqiang Gao, Bing Liu, Yuanlin Zhang:
A Logic Programming Approach to Aspect Extraction in Opinion Mining. Web Intelligence 2013: 276-283 - [e11]Erik Cambria, Bing Liu, Yongzheng Zhang, Yunqing Xia:
Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining, WISDOM 2013, Chicago, IL, USA, August 11, 2013. ACM 2013, ISBN 978-1-4503-2332-1 [contents] - 2012
- [b3]Bing Liu:
Sentiment Analysis and Opinion Mining. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2012, ISBN 978-3-031-01017-0 - [j24]Zhongwu Zhai, Bing Liu, Jingyuan Wang, Hua Xu, Peifa Jia:
Product Feature Grouping for Opinion Mining. IEEE Intell. Syst. 27(4): 37-44 (2012) - [j23]Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu:
Identify Online Store Review Spammers via Social Review Graph. ACM Trans. Intell. Syst. Technol. 3(4): 61:1-61:21 (2012) - [c129]Arjun Mukherjee, Bing Liu:
Modeling Review Comments. ACL (1) 2012: 320-329 - [c128]Arjun Mukherjee, Bing Liu:
Aspect Extraction through Semi-Supervised Modeling. ACL (1) 2012: 339-348 - [c127]Jing Wang, Clement T. Yu, Philip S. Yu, Bing Liu, Weiyi Meng:
Diversionary comments under political blog posts. CIKM 2012: 1789-1793 - [c126]Geli Fei, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
A Dictionary-Based Approach to Identifying Aspects Implied by Adjectives for Opinion Mining. COLING (Posters) 2012: 309-318 - [c125]Arjun Mukherjee, Bing Liu:
Analysis of Linguistic Style Accommodation in Online Debates. COLING 2012: 1831-1846 - [c124]Arjun Mukherjee, Bing Liu:
Mining contentions from discussions and debates. KDD 2012: 841-849 - [c123]Arjun Mukherjee, Bing Liu, Natalie S. Glance:
Spotting fake reviewer groups in consumer reviews. WWW 2012: 191-200 - [p2]Bing Liu, Lei Zhang:
A Survey of Opinion Mining and Sentiment Analysis. Mining Text Data 2012: 415-463 - 2011
- [b2]Bing Liu:
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data. Second Edition. Data-Centric Systems and Applications, Springer 2011, ISBN 978-3-642-19459-7, pp. 1-603 - [j22]Guang Qiu, Bing Liu, Jiajun Bu, Chun Chen:
Opinion Word Expansion and Target Extraction through Double Propagation. Comput. Linguistics 37(1): 9-27 (2011) - [c122]Zhongwu Zhai, Bing Liu, Lei Zhang, Hua Xu, Peifa Jia:
Identifying Evaluative Sentences in Online Discussions. AAAI 2011: 933-938 - [c121]Lei Zhang, Bing Liu:
Identifying Noun Product Features that Imply Opinions. ACL (2) 2011: 575-580 - [c120]Lei Zhang, Bing Liu:
Entity set expansion in opinion documents. HT 2011: 281-290 - [c119]Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu:
Review Graph Based Online Store Review Spammer Detection. ICDM 2011: 1242-1247 - [c118]Lei Zhang, Bing Liu:
Extracting Resource Terms for Sentiment Analysis. IJCNLP 2011: 1171-1179 - [c117]Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia:
Constrained LDA for Grouping Product Features in Opinion Mining. PAKDD (1) 2011: 448-459 - [c116]Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia:
Clustering product features for opinion mining. WSDM 2011: 347-354 - [c115]Arjun Mukherjee, Bing Liu, Junhui Wang
, Natalie S. Glance, Nitin Jindal:
Detecting group review spam. WWW (Companion Volume) 2011: 93-94 - 2010
- [c114]Xiaoli Li, Lei Zhang, Bing Liu, See-Kiong Ng:
Distributional Similarity vs. PU Learning for Entity Set Expansion. ACL (2) 2010: 359-364 - [c113]Bing Liu:
Keynote speaker. SMUC@CIKM 2010: 1-2 - [c112]Ee-Peng Lim
, Viet-An Nguyen, Nitin Jindal, Bing Liu, Hady Wirawan Lauw
:
Detecting product review spammers using rating behaviors. CIKM 2010: 939-948 - [c111]Nitin Jindal, Bing Liu, Ee-Peng Lim
:
Finding unusual review patterns using unexpected rules. CIKM 2010: 1549-1552 - [c110]Enrique Amigó, Javier Artiles, Julio Gonzalo, Damiano Spina, Bing Liu, Adolfo Corujo:
WePS3 Evaluation Campaign: Overview of the On-line Reputation Management Task. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c109]Xiaowen Ding, Bing Liu:
Resolving Object and Attribute Coreference in Opinion Mining. COLING 2010: 268-276 - [c108]Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia:
Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints. COLING 2010: 1272-1280 - [c107]Lei Zhang, Bing Liu, Suk Hwan Lim, Eamonn O'Brien-Strain:
Extracting and Ranking Product Features in Opinion Documents. COLING (Posters) 2010: 1462-1470 - [c106]Arjun Mukherjee, Bing Liu:
Improving Gender Classification of Blog Authors. EMNLP 2010: 207-217 - [c105]Xiaoli Li, Bing Liu, See-Kiong Ng:
Negative Training Data Can be Harmful to Text Classification. EMNLP 2010: 218-228 - [c104]Cindy Xide Lin, Yintao Yu, Jiawei Han, Bing Liu:
Hierarchical Web-Page Clustering via In-Page and Cross-Page Link Structures. PAKDD (2) 2010: 222-229 - [c103]Nitin Jindal, Bing Liu:
A Generalized Tree Matching Algorithm Considering Nested Lists for Web Data Extraction. SDM 2010: 930-941 - [c102]Cindy Xide Lin, Bo Zhao, Tim Weninger
, Jiawei Han, Bing Liu:
Entity relation discovery from web tables and links. WWW 2010: 1145-1146 - [p1]Xin Li, Bing Liu, Philip S. Yu:
Time Sensitive Ranking with Application to Publication Search. Link Mining 2010: 187-209 - [e10]Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu:
ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010. IEEE Computer Society 2010, ISBN 978-0-7695-4256-0 [contents] - [e9]Wei Fan, Wynne Hsu, Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu:
ICDMW 2010, The 10th IEEE International Conference on Data Mining Workshops, Sydney, Australia, 13 December 2010. IEEE Computer Society 2010, ISBN 978-0-7695-4257-7 [contents] - [e8]Brian D. Davison, Torsten Suel, Nick Craswell, Bing Liu:
Proceedings of the Third International Conference on Web Search and Web Data Mining, WSDM 2010, New York, NY, USA, February 4-6, 2010. ACM 2010, ISBN 978-1-60558-889-6 [contents] - [r3]Bing Liu:
Sentiment Analysis and Subjectivity. Handbook of Natural Language Processing 2010: 627-666
2000 – 2009
- 2009
- [c101]Tieyun Qian
, Qing Li
, Bing Liu, Hui Xiong, Jaideep Srivastava
, Phillip C.-Y. Sheu
:
What's behind topic formation and development: a perspective of community core groups. CIKM 2009: 1843-1846 - [c100]Ramanathan Narayanan, Bing Liu, Alok N. Choudhary:
Sentiment Analysis of Conditional Sentences. EMNLP 2009: 180-189 - [c99]Andrea Vaccari, Francesco Calabrese, Bing Liu, Carlo Ratti:
Towards the SocioScope: an information system for the study of social dynamics through digital traces. GIS 2009: 52-61 - [c98]Lei Zhang, Bing Liu, Jeffrey Benkler, Chi Zhou:
Finding Actionable Knowledge via Automated Comparison. ICDE 2009: 1419-1430 - [c97]Guang Qiu, Bing Liu, Jiajun Bu, Chun Chen:
Expanding Domain Sentiment Lexicon through Double Propagation. IJCAI 2009: 1199-1204 - [c96]Xiaowen Ding, Bing Liu, Lei Zhang:
Entity discovery and assignment for opinion mining applications. KDD 2009: 1125-1134 - [c95]Xiaoli Li, Philip S. Yu, Bing Liu, See-Kiong Ng:
Positive Unlabeled Learning for Data Stream Classification. SDM 2009: 259-270 - [r2]Bing Liu:
Classification by Association Rule Analysis. Encyclopedia of Database Systems 2009: 335-340 - [r1]Bing Liu:
Opinion Mining. Encyclopedia of Database Systems 2009: 1986-1990 - 2008
- [j21]Bing Liu, Alexander Tuzhilin:
Managing large collections of data mining models. Commun. ACM 51(2): 85-89 (2008) - [j20]Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan
, Angus F. M. Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael S. Steinbach
, David J. Hand
, Dan Steinberg:
Top 10 algorithms in data mining. Knowl. Inf. Syst. 14(1): 1-37 (2008) - [j19]Srinivasan Parthasarathy
, Bing Liu:
Guest editorial. Stat. Anal. Data Min. 1(1): 4-5 (2008) - [c94]Murthy Ganapathibhotla, Bing Liu:
Mining Opinions in Comparative Sentences. COLING 2008: 241-248 - [c93]Xin Li, Bing Liu, Philip S. Yu:
Time Sensitive Ranking with Application to Publication Search. ICDM 2008: 893-898 - [c92]Nitin Jindal, Bing Liu:
Opinion spam and analysis. WSDM 2008: 219-230 - [c91]Xiaowen Ding, Bing Liu, Philip S. Yu:
A holistic lexicon-based approach to opinion mining. WSDM 2008: 231-240 - [e7]Ying Li, Bing Liu, Sunita Sarawagi:
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, August 24-27, 2008. ACM 2008, ISBN 978-1-60558-193-4 [contents] - 2007
- [b1]Bing Liu:
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data. Data-Centric Systems and Applications, Springer 2007, ISBN 978-3-540-37881-5, pp. 1-532 - [j18]Yanhong Zhai, Bing Liu:
Extracting Web Data Using Instance-Based Learning. World Wide Web(2): 113-132 (2007) - [j17]James Bennett, Charles Elkan, Bing Liu, Padhraic Smyth, Domonkos Tikk:
KDD Cup and workshop 2007. SIGKDD Explor. 9(2): 51-52 (2007) - [c90]Xiaoli Li
, Bing Liu, See-Kiong Ng:
Learning to Classify Documents with Only a Small Positive Training Set. ECML 2007: 201-213 - [c89]Nitin Jindal, Bing Liu:
Analyzing and Detecting Review Spam. ICDM 2007: 547-552 - [c88]Xiaoli Li, Bing Liu, See-Kiong Ng:
Learning to Identify Unexpected Instances in the Test Set. IJCAI 2007: 2802-2807 - [c87]Yi Zhang, Bing Liu:
Semantic Text Classification of Emergent Disease Reports. PKDD 2007: 629-637 - [c86]Yi Zhang, Bing Liu:
Semantic text classification of disease reporting. SIGIR 2007: 747-748 - [c85]Xiaowen Ding, Bing Liu:
The utility of linguistic rules in opinion mining. SIGIR 2007: 811-812 - [c84]Nitin Jindal, Bing Liu:
Review spam detection. WWW 2007: 1189-1190 - 2006
- [j16]Yanhong Zhai, Bing Liu:
Structured Data Extraction from the Web Based on Partial Tree Alignment. IEEE Trans. Knowl. Data Eng. 18(12): 1614-1628 (2006) - [c83]Nitin Jindal, Bing Liu:
Mining Comparative Sentences and Relations. AAAI 2006: 1331-1336 - [c82]Minqing Hu, Bing Liu:
Opinion Extraction and Summarization on the Web. AAAI 2006: 1621-1624 - [c81]Yanhong Zhai, Bing Liu:
Automatic Wrapper Generation Using Tree Matching and Partial Tree Alignment. AAAI 2006: 1687-1690 - [c80]Minqing Hu, Bing Liu:
Opinion Feature Extraction Using Class Sequential Rules. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs 2006: 61-66 - [c79]Xin Li, Bing Liu, Philip S. Yu:
Mining Community Structure of Named Entities from Web Pages and Blogs. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs 2006: 108-114 - [c78]Shenghua Bao, Yunbo Cao, Bing Liu, Yong Yu, Hang Li:
Mining Latent Associations of Objects Using a Typed Mixture Model--A Case Study on Expert/Expertise Mining. ICDM 2006: 803-807 - [c77]Bing Liu, Kaidi Zhao, Jeffrey Benkler, Weimin Xiao:
Rule interestingness analysis using OLAP operations. KDD 2006: 297-306 - [c76]Kaidi Zhao, Bing Liu, Jeffrey Benkler, Weimin Xiao:
Opportunity map: identifying causes of failure - a deployed data mining system. KDD 2006: 892-901 - [c75]Xin Li, Bing Liu, Philip S. Yu:
Discovering Overlapping Communities of Named Entities. PKDD 2006: 593-600 - [c74]Nitin Jindal, Bing Liu:
Identifying comparative sentences in text documents. SIGIR 2006: 244-251 - [e6]Philip S. Yu, Vassilis J. Tsotras, Edward A. Fox, Bing Liu:
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, Arlington, Virginia, USA, November 6-11, 2006. ACM 2006, ISBN 1-59593-433-2 [contents] - [e5]Bamshad Mobasher, Olfa Nasraoui, Bing Liu, Brij M. Masand:
Advances in Web Mining and Web Usage Analysis, 6th International Workshop on Knowledge Discovery on the Web, WebKDD 2004, Seattle, WA, USA, August 22-25, 2004, Revised Selected Papers. Lecture Notes in Computer Science 3932, Springer 2006, ISBN 978-3-540-47127-1 [contents] - 2005
- [c73]Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xiao:
Opportunity map: a visualization framework for fast identification of actionable knowledge. CIKM 2005: 60-67 - [c72]Xin Li, Bing Liu:
Mining community structure of named entities from free text. CIKM 2005: 275-276 - [c71]Greeshma Neglur, Robert L. Grossman, Bing Liu:
Assigning Unique Keys to Chemical Compounds for Data Integration: Some Interesting Counter Examples. DILS 2005: 145-157 - [c70]Xiaoli Li
, Bing Liu:
Learning from Positive and Unlabeled Examples with Different Data Distributions. ECML 2005: 218-229 - [c69]Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xiao:
A Visual Data Mining Framework for Convenient Identification of Useful Knowledge. ICDM 2005: 530-537 - [c68]Leonardo Rigutini
, Marco Maggini, Bing Liu:
An EM Based Training Algorithm for Cross-Language Text Categorization. Web Intelligence 2005: 529-535 - [c67]Philip S. Yu, Xin Li, Bing Liu:
Adding the Temporal Dimension to Search - A Case Study in Publication Search. Web Intelligence 2005: 543-549 - [c66]Yanhong Zhai, Bing Liu:
Extracting Web Data Using Instance-Based Learning. WISE 2005: 318-331 - [c65]Bing Liu, Yanhong Zhai:
NET - A System for Extracting Web Data from Flat and Nested Data Records. WISE 2005: 487-495 - [c64]Bing Liu:
WISE-2005 Tutorial: Web Content Mining. WISE 2005: 763 - [c63]Yanhong Zhai, Bing Liu:
Web data extraction based on partial tree alignment. WWW 2005: 76-85 - [c62]Bing Liu, Minqing Hu, Junsheng Cheng:
Opinion observer: analyzing and comparing opinions on the Web. WWW 2005: 342-351 - [e4]Chengqi Zhang
, Qiang Yang, Bing Liu:
Guest Editors' Introduction: Special Section on Intelligent Data Preparation. IEEE Trans. Knowl. Data Eng. 17(9): 1163-1165 (2005) - 2004
- [j15]Bing Liu, Robert L. Grossman, Yanhong Zhai:
Mining Web Pages for Data Records. IEEE Intell. Syst. 19(6): 49-55 (2004) - [j14]Robert L. Grossman, Pavan Kasturi, Donald Hamelberg, Bing Liu:
An Empirical Study of the Universal Chemical Key Algorithm for Assigning Unique Keys to Chemical Compounds. J. Bioinform. Comput. Biol. 2(1): 155-172 (2004) - [j13]Bing Liu, Kevin Chen-Chuan Chang:
Editorial: special issue on web content mining. SIGKDD Explor. 6(2): 1-4 (2004) - [j12]Olfa Nasraoui, Bamshad Mobasher, Brij M. Masand, Bing Liu:
WebKDD 2004: web mining and web usage analysis post-workshop report. SIGKDD Explor. 6(2): 147-151 (2004) - [c61]Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu:
Text Classification by Labeling Words. AAAI 2004: 425-430 - [c60]Minqing Hu, Bing Liu:
Mining Opinion Features in Customer Reviews. AAAI 2004: 755-760 - [c59]Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu:
Semi-supervised Text Classification Using Partitioned EM. DASFAA 2004: 482-493 - [c58]Minqing Hu, Bing Liu:
Mining and summarizing customer reviews. KDD 2004: 168-177 - [c57]Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Schaller:
V-Miner: using enhanced parallel coordinates to mine product design and test data. KDD 2004: 494-502 - [c56]Xiaoli Li
, Bing Liu:
Dealing with different distributions in learning from. WWW (Alternate Track Papers & Posters) 2004: 440-441 - [c55]Philip S. Yu, Xin Li, Bing Liu:
On the temporal dimension of search. WWW (Alternate Track Papers & Posters) 2004: 448-449 - [e3]Gautam Das, Bing Liu, Philip S. Yu:
Proceedings of the 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, DMKD 2004, Paris, France, June 13, 2004. ACM 2004, ISBN 1-58113-908-X [contents] - [e2]Bing Liu, Soumen Chakrabarti:
Guest Editors' Introduction: Special Section on Mining and Searching the Web. IEEE Trans. Knowl. Data Eng. 16(1): 2-3 (2004) - [i1]Raghu Ramakrishnan, Rakesh Agrawal, Johann-Christoph Freytag, Toni Bollinger, Christopher W. Clifton, Saso Dzeroski, Jochen Hipp, Daniel A. Keim, Stefan Kramer, Hans-Peter Kriegel, Ulf Leser, Bing Liu, Heikki Mannila, Rosa Meo, Shinichi Morishita, Raymond T. Ng, Jian Pei, Prabhakar Raghavan, Myra Spiliopoulou, Jaideep Srivastava, Vicenç Torra:
Data Mining: The Next Generation. Perspectives Workshop: Data Mining: The Next Generation 2004 - 2003
- [j11]Bing Liu, Yiming Ma, Ching Kian Wong, Philip S. Yu:
Scoring the Data Using Association Rules. Appl. Intell. 18(2): 119-135 (2003) - [c54]Robert L. Grossman, Pavan Kasturi, Donald Hamelberg, Bing Liu:
Experimental Studies of the Universal Chemical Key (UCK)Algorithm on the NCI Database of Chemical Compounds. CSB 2003: 244-250 - [c53]Bing Liu, Yang Dai, Xiaoli Li, Wee Sun Lee, Philip S. Yu:
Building Text Classifiers Using Positive and Unlabeled Examples. ICDM 2003: 179-188 - [c52]Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Schaller:
Detecting Patterns of Change Using Enhanced Parallel Coordinates Visualization. ICDM 2003: 747- - [c51]Wee Sun Lee, Bing Liu:
Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression. ICML 2003: 448-455 - [c50]Lan Yi, Bing Liu:
Web Page Cleaning for Web Mining through Feature Weighting. IJCAI 2003: 43-50 - [c49]Xiaoli Li, Bing Liu:
Learning to Classify Texts Using Positive and Unlabeled Data. IJCAI 2003: 587-594 - [c48]Lan Yi, Bing Liu, Xiaoli Li
:
Eliminating noisy information in Web pages for data mining. KDD 2003: 296-305 - [c47]Bing Liu, Robert L. Grossman, Yanhong Zhai:
Mining data records in Web pages. KDD 2003: 601-606 - [c46]Bing Liu, Chee Wee Chin, Hwee Tou Ng:
Mining topic-specific concepts and definitions on the web. WWW 2003: 251-260 - 2002
- [j10]Chidanand Apté, Bing Liu, Edwin P. D. Pednault, Padhraic Smyth
:
Business applications of data mining. Commun. ACM 45(8): 49-53 (2002) - [j9]Isabel F. Cruz, Ashfaq A. Khokhar, Bing Liu, A. Prasad Sistla, Ouri Wolfson
, Clement T. Yu:
Research Activities in Database Management and Information Retrieval at the University of Illinois at Chicago. SIGMOD Rec. 31(3): 103-108 (2002) - [c45]Xiaoli Li
, Tong-Heng Phang, Minqing Hu, Bing Liu:
Using micro information units for internet search. CIKM 2002: 566-573 - [c44]Bing Liu, Jing Liu:
Multivariate Time Series Prediction via Temporal Classification. ICDE 2002: 268 - [c43]Gao Cong, Bing Liu:
Speed-up Iterative Frequent Itemset Mining with Constraint Changes. ICDM 2002: 107-114 - [c42]Bing Liu, Wee Sun Lee, Philip S. Yu, Xiaoli Li:
Partially Supervised Classification of Text Documents. ICML 2002: 387-394 - [c41]Alexander Tuzhilin, Bing Liu:
Querying multiple sets of discovered rules. KDD 2002: 52-60 - [c40]Haoran Wu, Tong-Heng Phang, Bing Liu, Xiaoli Li
:
A refinement approach to handling model misfit in text categorization. KDD 2002: 207-216 - [c39]Gao Cong, Lan Yi, Bing Liu, Ke Wang:
Discovering Frequent Substructures from Hierarchical Semi-structured Data. SDM 2002: 175-192 - [c38]Bing Liu, Kaidi Zhao, Lan Yi:
Visualizing web site comparisons. WWW 2002: 693-703 - [e1]Ming-Shan Cheng, Philip S. Yu, Bing Liu:
Advances in Knowledge Discovery and Data Mining, 6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002, Proceedings. Lecture Notes in Computer Science 2336, Springer 2002, ISBN 3-540-43704-5 [contents] - 2001
- [c37]Baohua Gu, Bing Liu, Feifang Hu, Huan Liu:
Efficiently Determine the Starting Sample Size for Progressive Sampling. DMKD 2001 - [c36]Baohua Gu, Bing Liu, Feifang Hu, Huan Liu:
Efficiently Determining the Starting Sample Size for Progressive Sampling. ECML 2001: 192-202 - [c35]Bing Liu, Yiming Ma, Ronnie Lee:
Analyzing the Interestingness of Association Rules from the Temporal Dimension. ICDM 2001: 377-384 - [c34]Bing Liu, Yiming Ma, Philip S. Yu:
Discovering unexpected information from your competitors' web sites. KDD 2001: 144-153 - [c33]Bing Liu, Wynne Hsu, Yiming Ma:
Identifying non-actionable association rules. KDD 2001: 329-334 - [c32]Bing Liu, Wynne Hsu, Yiming Ma:
Discovering the set of fundamental rule changes. KDD 2001: 335-340 - [c31]Shu Chen, Bing Liu:
Generating Classification Rules According to User's Existing Knowledge. SDM 2001: 1-15 - 2000
- [j8]Wynne Hsu, Bing Liu:
Conceptual design: issues and challenges. Comput. Aided Des. 32(14): 849-850 (2000) - [j7]Bing Liu, Wynne Hsu
, Shu Chen, Yiming Ma:
Analyzing the Subjective Interestingness of Association Rules. IEEE Intell. Syst. 15(5): 47-55 (2000) - [j6]Yiming Ma, Bing Liu, Ching Kian Wong:
Web for Data Mining: Organizing and Interpreting the Discovered Rules using the Web. SIGKDD Explor. 2(1): 16-23 (2000) - [c30]Bing Liu, Minqing Hu, Wynne Hsu:
Intuitive Representation of Decision Trees Using General Rules and Exceptions. AAAI/IAAI 2000: 615-620 - [c29]Bing Liu, Yiyuan Xia, Philip S. Yu:
Clustering Through Decision Tree Construction. CIKM 2000: 20-29 - [c28]Bing Liu, Yiming Ma, Ching Kian Wong:
Web for Data Mining Applications. COMPSAC 2000: 465-466 - [c27]Bing Liu, Wynne Hsu, Heng-Siew Han, Yiyuan Xia:
Mining Changes for Real-Life Applications. DaWaK 2000: 337-346 - [c26]Bing Liu, Minqing Hu, Wynne Hsu:
Multi-level organization and summarization of the discovered rules. KDD 2000: 208-217 - [c25]Wynne Hsu, Mong-Li Lee, Bing Liu, Tok Wang Ling:
Exploration mining in diabetic patients databases: findings and conclusions. KDD 2000: 430-436 - [c24]Yiming Ma, Bing Liu, Ching Kian Wong, Philip S. Yu, Shuik Ming Lee:
Targeting the right students using data mining. KDD 2000: 457-464 - [c23]Bing Liu, Yiming Ma, Ching Kian Wong:
Improving an Association Rule Based Classifier. PKDD 2000: 504-509
1990 – 1999
- 1999
- [j5]Bing Liu, Wynne Hsu
, Lai-Fun Mun, Hing-Yan Lee:
Finding Interesting Patterns Using User Expectations. IEEE Trans. Knowl. Data Eng. 11(6): 817-832 (1999) - [c22]Ke Wang, Chu Xu, Bing Liu:
Clustering Transactions Using Large Items. CIKM 1999: 483-490 - [c21]Bing Liu, Wynne Hsu, Yiming Ma:
Pruning and Summarizing the Discovered Associations. KDD 1999: 125-134 - [c20]Bing Liu, Wynne Hsu, Yiming Ma:
Mining Association Rules with Multiple Minimum Supports. KDD 1999: 337-341 - [c19]Bing Liu, Wynne Hsu, Yiming Ma, Shu Chen:
Mining Interesting Knowledge Using DM-II. KDD 1999: 430-434 - [c18]Bing Liu, Wynne Hsu, Ke Wang, Shu Chen:
Visually Aided Exploration of Interesting Association Rules. PAKDD 1999: 380-389 - 1998
- [c17]Bing Liu, Wynne Hsu, Yiming Ma:
Integrating Classification and Association Rule Mining. KDD 1998: 80-86 - [c16]Ke Wang, Soon Hock William Tay, Bing Liu:
Interestingness-Based Interval Merger for Numeric Association Rules. KDD 1998: 121-128 - [c15]Bing Liu, Ke Wang, Lai-Fun Mun, Xin-Zhi Qi:
Using Decision Tree Induction for Discovering Holes in Data. PRICAI 1998: 182-193 - [c14]Ke Wang, Bing Liu:
Concurrent Discretization of Multiple Attributes. PRICAI 1998: 250-259 - 1997
- [j4]Bing Liu:
Route finding by using knowledge about the road network. IEEE Trans. Syst. Man Cybern. Part A 27(4): 436-448 (1997) - [c13]Bing Liu, Liang-Ping Ku, Wynne Hsu:
Discovering Interesting Holes in Data. IJCAI (2) 1997: 930-935 - [c12]Bing Liu, Wynne Hsu, Shu Chen:
Using General Impressions to Analyze Discovered Classification Rules. KDD 1997: 31-36 - [c11]Joxan Jaffar, Bing Liu, Roland H. C. Yap:
Forward and Backward Chaining in Constraint Programming (Abstract). LPNMR 1997: 1 - 1996
- [c10]Bing Liu, Wynne Hsu:
Post-Analysis of Learned Rules. AAAI/IAAI, Vol. 1 1996: 828-834 - [c9]Bing Liu, Joxan Jaffar:
Using Constraints to Model Disjunctions in Rule-Based Reasoning. AAAI/IAAI, Vol. 2 1996: 1248-1255 - [c8]Bing Liu:
Intelligent Route Finding: Combining Knowledge and Cases and an Efficient Search Algorithm. ECAI 1996: 380-384 - [c7]Bing Liu:
An Improved Generic Arc Consistency Algorithm and Its Specializations. PRICAI 1996: 264-275 - 1995
- [c6]Bing Liu:
A Refinement Approach to Search and Constraint Satisfaction Problem. IEA/AIE 1995: 233-240 - [c5]Bing Liu:
Intelligent Air Travel and Tourist Information Systems. IEA/AIE 1995: 603-610 - [c4]Bing Liu:
Using Knowledge to Isolate Search in Route Finding. IJCAI 1995: 119-125 - [c3]Bing Liu:
Increasing Functional Constraints Need to Be Checked Only Once. IJCAI (1) 1995: 586-591 - 1994
- [j3]Bing Liu, Siew-Hwee Choo, Shee-Ling Lok, Sing-Meng Leong, Soo-Chee Lee, Foong-Ping Poon, Hwee-Har Tan:
Finding the Shortest Route Using Cases, Knowledge, and Djikstra's Algorithm. IEEE Expert 9(5): 7-11 (1994) - [c2]Bing Liu:
Integrating Rules and Constraints. ICTAI 1994: 676-679 - 1992
- [j2]Bing Liu, Yuen-Wah Ku:
ConstraintLisp: an object-oriented constraint programming language. ACM SIGPLAN Notices 27(11): 17-26 (1992)
1980 – 1989
- 1988
- [j1]Bing Liu:
Scheduling via reinforcement. Artif. Intell. Eng. 3(2): 76-85 (1988) - [c1]Bing Liu:
A Reinforcement Approach to Schelduling. ECAI 1988: 580-585
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-16 19:27 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint