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- affiliation: Chinese University of Hong Kong
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2020 – today
- 2023
[j69]Wai-Chung Kwan
, Hongru Wang, Huimin Wang, Kam-Fai Wong:
A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning. Int. J. Autom. Comput. 20(3): 318-334 (2023)- [j68]Jing Ma, Jun Li, Wei Gao, Yang Yang, Kam-Fai Wong:
Improving Rumor Detection by Promoting Information Campaigns With Transformer-Based Generative Adversarial Learning. IEEE Trans. Knowl. Data Eng. 35(3): 2657-2670 (2023) - [c165]Zhiming Mao, Huimin Wang, Yiming Du, Kam-Fai Wong:
UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation. ACL (2) 2023: 1160-1170 - [c164]Huimin Wang, Wai-Chung Kwan, Kam-Fai Wong, Yefeng Zheng:
CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation. ACL (1) 2023: 6348-6361 - [c163]Rui Wang, Jianzhu Bao, Fei Mi, Yi Chen, Hongru Wang, Yasheng Wang, Yitong Li, Lifeng Shang, Kam-Fai Wong, Ruifeng Xu:
Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models. ACL (1) 2023: 6608-6619 - [c162]Liang Chen, Hongru Wang, Yang Deng, Wai-Chung Kwan, Zezhong Wang, Kam-Fai Wong:
Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization. ACL (Findings) 2023: 7337-7345 - [c161]Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin:
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment. ACL (1) 2023: 13264-13276 - [c160]Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, Kam-Fai Wong:
Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation. EACL (Findings) 2023: 2223-2229 - [i35]Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, Kam-Fai Wong:
Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation. CoRR abs/2302.13496 (2023) - [i34]Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin:
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment. CoRR abs/2305.06535 (2023) - [i33]Hongru Wang, Rui Wang, Fei Mi, Zezhong Wang, Ruifeng Xu, Kam-Fai Wong:
Chain-of-thought prompting for responding to in-depth dialogue questions with LLM. CoRR abs/2305.11792 (2023) - [i32]Liang Chen, Hongru Wang, Yang Deng, Wai-Chung Kwan, Zezhong Wang, Kam-Fai Wong:
Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization. CoRR abs/2305.12782 (2023) - [i31]Rui Wang, Hongru Wang, Fei Mi, Yi Chen, Ruifeng Xu, Kam-Fai Wong:
Self-Critique Prompting with Large Language Models for Inductive Instructions. CoRR abs/2305.13733 (2023) - [i30]Zhiming Mao, Huimin Wang, Yiming Du, Kam-Fai Wong:
UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation. CoRR abs/2305.15756 (2023) - [i29]Huimin Wang, Wai-Chung Kwan, Kam-Fai Wong, Yefeng Zheng:
CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation. CoRR abs/2307.08290 (2023) - [i28]Wai-Chung Kwan, Huimin Wang, Hongru Wang, Zezhong Wang, Xian Wu, Yefeng Zheng, Kam-Fai Wong:
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning. CoRR abs/2309.00230 (2023) - [i27]Huimin Wang, Wai-Chung Kwan, Kam-Fai Wong:
Dialog Action-Aware Transformer for Dialog Policy Learning. CoRR abs/2309.02240 (2023) - [i26]Bojia Zi, Xianbiao Qi, Lingzhi Wang, Jianan Wang, Kam-Fai Wong, Lei Zhang:
Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices. CoRR abs/2309.02411 (2023) - 2022
- [j67]Xingshan Zeng, Jing Li, Lingzhi Wang, Kam-Fai Wong:
Modeling Global and Local Interactions for Online Conversation Recommendation. ACM Trans. Inf. Syst. 40(3): 49:1-49:33 (2022) - [c159]Wenbo Shang, Jiangjiang Zhao, Zezhong Wang, Binyang Li, Fangchun Yang, Kam-Fai Wong:
"I Know Who You Are": Character-Based Features for Conversational Humor Recognition in Chinese. EMNLP (Findings) 2022: 2927-2932 - [c158]Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong:
Learning When and What to Quote: A Quotation Recommender System with Mutual Promotion of Recommendation and Generation. EMNLP (Findings) 2022: 3094-3105 - [c157]Zhiming Mao, Jian Li, Hongru Wang, Xingshan Zeng, Kam-Fai Wong:
DIGAT: Modeling News Recommendation with Dual-Graph Interaction. EMNLP (Findings) 2022: 6595-6607 - [c156]Hongru Wang, Huimin Wang, Zezhong Wang, Kam-Fai Wong:
Integrating Pretrained Language Model for Dialogue Policy Evaluation. ICASSP 2022: 6692-6696 - [c155]Hongru Wang, Mingyu Cui, Zimo Zhou, Kam-Fai Wong:
TopicRefine: Joint Topic Prediction and Dialogue Response Generation for Multi-turn End-to-End Dialogue System. ICNLSP 2022: 19-29 - [c154]Zezhong Wang, Hongru Wang, Wai-Chung Kwan, Kam-Fai Wong:
Prior Omission of Dissimilar Source Domain(s) for Cost-Effective Few-Shot Learning. ICNLSP 2022: 30-39 - [c153]Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Daxin Jiang, Kam-Fai Wong:
RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models. AACL/IJCNLP (1) 2022: 489-500 - [c152]Lingzhi Wang, Jing Li, Xingshan Zeng, Kam-Fai Wong:
Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling. WWW 2022: 1663-1672 - [i25]Wai-Chung Kwan, Hongru Wang, Huimin Wang, Kam-Fai Wong:
A Survey on Recent Advances and Challenges in Reinforcement LearningMethods for Task-Oriented Dialogue Policy Learning. CoRR abs/2202.13675 (2022) - [i24]Lingzhi Wang, Shafiq R. Joty, Wei Gao, Xingshan Zeng, Kam-Fai Wong:
Improving Conversational Recommender System via Contextual and Time-Aware Modeling with Less Domain-Specific Knowledge. CoRR abs/2209.11386 (2022) - [i23]Zhiming Mao, Jian Li, Hongru Wang, Xingshan Zeng, Kam-Fai Wong:
DIGAT: Modeling News Recommendation with Dual-Graph Interaction. CoRR abs/2210.05196 (2022) - 2021
- [c151]Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong:
Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations. ACL/IJCNLP (2) 2021: 754-758 - [c150]Zhiming Mao, Xingshan Zeng, Kam-Fai Wong:
Neural News Recommendation with Collaborative News Encoding and Structural User Encoding. EMNLP (Findings) 2021: 46-55 - [c149]Lingzhi Wang, Xingshan Zeng, Huang Hu, Kam-Fai Wong, Daxin Jiang:
Re-entry Prediction for Online Conversations via Self-Supervised Learning. EMNLP (Findings) 2021: 2127-2137 - [c148]Huimin Wang, Kam-Fai Wong:
A Collaborative Multi-agent Reinforcement Learning Framework for Dialog Action Decomposition. EMNLP (1) 2021: 7882-7889 - [c147]Dingmin Wang, Chenghua Lin, Qi Liu, Kam-Fai Wong:
Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition. NAACL-HLT 2021: 289-295 - [i22]Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong:
Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations. CoRR abs/2105.14189 (2021) - [i21]Lingzhi Wang, Jing Li, Xingshan Zeng, Haisong Zhang, Kam-Fai Wong:
Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations. CoRR abs/2106.09896 (2021) - [i20]Lingzhi Wang, Jing Li, Xingshan Zeng, Kam-Fai Wong:
Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling. CoRR abs/2108.06975 (2021) - [i19]Hongru Wang, Zezhong Wang, Gabriel Pui Cheong Fung, Kam-Fai Wong:
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging. CoRR abs/2108.11635 (2021) - [i18]Zhiming Mao, Xingshan Zeng, Kam-Fai Wong:
Neural News Recommendation with Collaborative News Encoding and Structural User Encoding. CoRR abs/2109.00750 (2021) - [i17]Lingzhi Wang, Xingshan Zeng, Huang Hu, Kam-Fai Wong, Daxin Jiang:
Re-entry Prediction for Online Conversations via Self-Supervised Learning. CoRR abs/2109.02020 (2021) - [i16]Hongru Wang, Mingyu Cui, Zimo Zhou, Gabriel Pui Cheong Fung, Kam-Fai Wong:
TopicRefine: Joint Topic Prediction and Dialogue Response Generation for Multi-turn End-to-End Dialogue System. CoRR abs/2109.05187 (2021) - [i15]Zezhong Wang, Hongru Wang, Wai-Chung Kwan, Jia Zhu, Gabriel Pui Cheong Fung, Kam-Fai Wong:
Prior Omission of Dissimilar Source Domain(s) for Cost-Effective Few-Shot Learning. CoRR abs/2109.05234 (2021) - [i14]Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Kam-Fai Wong, Daxin Jiang:
Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph. CoRR abs/2110.07477 (2021) - [i13]Hongru Wang, Zhijing Jin, Jiarun Cao, Gabriel Pui Cheong Fung, Kam-Fai Wong:
Inconsistent Few-Shot Relation Classification via Cross-Attentional Prototype Networks with Contrastive Learning. CoRR abs/2110.08254 (2021) - [i12]Hongru Wang, Huimin Wang, Zezhong Wang, Kam-Fai Wong:
Integrating Pretrained Language Model for Dialogue Policy Learning. CoRR abs/2111.01398 (2021) - 2020
- [j66]Jing Ma, Wei Gao, Shafiq R. Joty, Kam-Fai Wong:
An Attention-based Rumor Detection Model with Tree-structured Recursive Neural Networks. ACM Trans. Intell. Syst. Technol. 11(4): 42:1-42:28 (2020) - [c146]Xingshan Zeng, Jing Li, Lu Wang, Zhiming Mao, Kam-Fai Wong:
Dynamic Online Conversation Recommendation. ACL 2020: 3331-3341 - [c145]Huimin Wang, Baolin Peng, Kam-Fai Wong:
Learning Efficient Dialogue Policy from Demonstrations through Shaping. ACL 2020: 6355-6365 - [c144]Lingzhi Wang, Jing Li, Xingshan Zeng, Haisong Zhang, Kam-Fai Wong:
Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations. EMNLP (1) 2020: 6640-6650 - [c143]Hongru Wang, Xiangru Tang, Sunny Lai, Kwong-Sak Leung, Jia Zhu, Gabriel Pui Cheong Fung, Kam-Fai Wong:
CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning. SemEval@COLING 2020: 391-400 - [e7]Kam-Fai Wong, Kevin Knight, Hua Wu:
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2020, Suzhou, China, December 4-7, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-91-0 [contents] - [i11]Dingmin Wang, Chenghua Lin, Li Zhong, Kam-Fai Wong:
Dialogue State Tracking with Pretrained Encoder for Multi-domain Trask-oriented Dialogue Systems. CoRR abs/2004.10663 (2020) - [i10]Hongru Wang, Min Li, Zimo Zhou, Gabriel Pui Cheong Fung, Kam-Fai Wong:
KddRES: A Multi-level Knowledge-driven Dialogue Dataset for Restaurant Towards Customized Dialogue System. CoRR abs/2011.08772 (2020)
2010 – 2019
- 2019
- [j65]Ho Chung Wu, Robert W. P. Luk, Kam-Fai Wong, Jian-Yun Nie:
Binary Independence Language Model in a Relevance Feedback Environment. Int. J. Softw. Eng. Knowl. Eng. 29(6): 873-895 (2019) - [c142]Jing Ma, Wei Gao, Shafiq R. Joty, Kam-Fai Wong:
Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks. ACL (1) 2019: 2561-2571 - [c141]Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong:
Joint Effects of Context and User History for Predicting Online Conversation Re-entries. ACL (1) 2019: 2809-2818 - [c140]Ming Liao, Jing Li, Haisong Zhang, Lingzhi Wang, Xixin Wu, Kam-Fai Wong:
Coupling Global and Local Context for Unsupervised Aspect Extraction. EMNLP/IJCNLP (1) 2019: 4578-4588 - [c139]Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong:
Neural Conversation Recommendation with Online Interaction Modeling. EMNLP/IJCNLP (1) 2019: 4632-4642 - [c138]Tengjiao Wang, Binyang Li, Wei Chen, Yuxiao Zhang, Ying Han, Jinzhong Niu, Kam-Fai Wong:
An Environment-Aware Market Strategy for Data Allocation and Dynamic Migration in Cloud Database. ICDE 2019: 2032-2035 - [c137]Qianlong Liu, Baoliang Cui, Zhongyu Wei, Baolin Peng, Haikuan Huang, Hongbo Deng, Jianye Hao, Xuanjing Huang, Kam-Fai Wong:
Building Personalized Simulator for Interactive Search. IJCAI 2019: 5109-5115 - [c136]Xiang Lin, Xiangwen Liao, Tong Xu, Wenjing Pian, Kam-Fai Wong:
Rumor Detection with Hierarchical Recurrent Convolutional Neural Network. NLPCC (2) 2019: 338-348 - [c135]Jing Ma, Wei Gao, Kam-Fai Wong:
Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning. WWW 2019: 3049-3055 - [i9]Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong:
Joint Effects of Context and User History for Predicting Online Conversation Re-entries. CoRR abs/1906.01185 (2019) - 2018
- [j64]Jaydeep Balakrishnan, Chun Hung Cheng, Kam-Fai Wong, Kwan-Ho Woo:
Product recommendation algorithms in the age of omnichannel retailing - An intuitive clustering approach. Comput. Ind. Eng. 115: 459-470 (2018) - [j63]Jing Li, Yan Song, Zhongyu Wei, Kam-Fai Wong:
A Joint Model of Conversational Discourse and Latent Topics on Microblogs. Comput. Linguistics 44(4) (2018) - [c134]Dingmin Wang, Gabriel Pui Cheong Fung, Maxime Debosschere, Shichao Dong, Jia Zhu, Kam-Fai Wong:
A New Benchmark and Evaluation Schema for Chinese Typo Detection and Correction. AAAI 2018: 8169-8170 - [c133]Zhongyu Wei, Qianlong Liu, Baolin Peng, Huaixiao Tou, Ting Chen, Xuanjing Huang, Kam-Fai Wong, Xiangying Dai:
Task-oriented Dialogue System for Automatic Diagnosis. ACL (2) 2018: 201-207 - [c132]Jing Ma, Wei Gao, Kam-Fai Wong:
Rumor Detection on Twitter with Tree-structured Recursive Neural Networks. ACL (1) 2018: 1980-1989 - [c131]Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Kam-Fai Wong:
Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning. ACL (1) 2018: 2182-2192 - [c130]Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Yun-Nung Chen, Kam-Fai Wong:
Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning. ICASSP 2018: 6149-6153 - [c129]Binyang Li, Jun Xiang, Le Chen, Xu Han, Xiaoyan Yu, Ruifeng Xu, Tengjiao Wang, Kam-Fai Wong:
The UIR Uncertainty Corpus for Chinese: Annotating Chinese Microblog Corpus for Uncertainty Identification from Social Media. LREC 2018 - [c128]Xingshan Zeng, Jing Li, Lu Wang, Nicholas Beauchamp, Sarah Shugars, Kam-Fai Wong:
Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse. NAACL-HLT 2018: 375-385 - [c127]Chuang Fan, Qinghong Gao, Jiachen Du, Lin Gui, Ruifeng Xu, Kam-Fai Wong:
Convolution-based Memory Network for Aspect-based Sentiment Analysis. SIGIR 2018: 1161-1164 - [c126]Jing Ma, Wei Gao, Kam-Fai Wong:
Detect Rumor and Stance Jointly by Neural Multi-task Learning. WWW (Companion Volume) 2018: 585-593 - [i8]Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Kam-Fai Wong:
Integrating planning for task-completion dialogue policy learning. CoRR abs/1801.06176 (2018) - [i7]Jing Li, Yan Song, Zhongyu Wei, Kam-Fai Wong:
A Joint Model of Conversational Discourse and Latent Topics on Microblogs. CoRR abs/1809.03690 (2018) - 2017
- [c125]Jing Ma, Wei Gao, Kam-Fai Wong:
Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning. ACL (1) 2017: 708-717 - [c124]Gabriel Pui Cheong Fung, Maxime Debosschere, Dingmin Wang, Bo Li, Jia Zhu, Kam-Fai Wong:
NLPTEA 2017 Shared Task - Chinese Spelling Check. NLP-TEA@IJCNLP 2017: 29-34 - [c123]Baolin Peng, Michael L. Seltzer, Y. C. Ju, Geoffrey Zweig, Kam-Fai Wong:
May I take your order? A Neural Model for Extracting Structured Information from Conversations. EACL (1) 2017: 450-459 - [c122]Baolin Peng, Xiujun Li, Lihong Li, Jianfeng Gao, Asli Celikyilmaz, Sungjin Lee, Kam-Fai Wong:
Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning. EMNLP 2017: 2231-2240 - [c121]Kaisong Song, Wei Gao, Shi Feng, Daling Wang, Kam-Fai Wong, Chengqi Zhang:
Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness. IJCAI 2017: 2744-2750 - [c120]Liang-Chih Yu, Lung-Hao Lee, Jin Wang, Kam-Fai Wong:
IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases. IJCNLP (Shared Tasks) 2017: 9-16 - [c119]Xiangwen Liao, Lingying Zhang, Lin Gui, Kam-Fai Wong, Guolong Chen:
A Tensor Factorization Based User Influence Analysis Method with Clustering and Temporal Constraint. NLPCC 2017: 877-886 - [c118]Qinghong Gao, Jiannan Hu, Ruifeng Xu, Lin Gui, Yulan He, Kam-Fai Wong, Qin Lu:
Overview of NTCIR-13 ECA Task. NTCIR 2017 - [i6]Baolin Peng, Xiujun Li, Lihong Li, Jianfeng Gao, Asli Celikyilmaz, Sungjin Lee, Kam-Fai Wong:
Composite Task-Completion Dialogue System via Hierarchical Deep Reinforcement Learning. CoRR abs/1704.03084 (2017) - [i5]Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Yun-Nung Chen, Kam-Fai Wong:
Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning. CoRR abs/1710.11277 (2017) - 2016
- [j62]Xu Han, Binyang Li, Kam-Fai Wong, Zhongzhi Shi:
Exploiting structural similarity of log files in fault diagnosis for Web service composition. CAAI Trans. Intell. Technol. 1(1): 61-71 (2016) - [c117]Jing Li, Ming Liao, Wei Gao, Yulan He, Kam-Fai Wong:
Topic Extraction from Microblog Posts Using Conversation Structures. ACL (1) 2016 - [c116]Shichao Dong, Gabriel Pui Cheong Fung, Binyang Li, Baolin Peng, Ming Liao, Jia Zhu, Kam-Fai Wong:
ACE: Automatic Colloquialism, Typographical and Orthographic Errors Detection for Chinese Language. COLING (Demos) 2016: 194-197 - [c115]Liang-Chih Yu, Lung-Hao Lee, Kam-Fai Wong:
Overview of the IALP 2016 shared task on Dimensional Sentiment Analysis for Chinese Words. IALP 2016: 156-160 - [c114]Jing Ma, Wei Gao, Prasenjit Mitra, Sejeong Kwon, Bernard J. Jansen, Kam-Fai Wong, Meeyoung Cha:
Detecting Rumors from Microblogs with Recurrent Neural Networks. IJCAI 2016: 3818-3824 - [e6]Kôiti Hasida, Kam-Fai Wong, Nicoletta Calzorari, Key-Sun Choi:
Proceedings of the 12th Workshop on Asian Language Resources, ALR@COLING 2016, Osaka, Japan, December 12, 2016. The COLING 2016 Organizing Committee 2016, ISBN 978-4-87974-722-8 [contents] - [i4]Kaisheng Yao, Baolin Peng, Geoffrey Zweig, Kam-Fai Wong:
An Attentional Neural Conversation Model with Improved Specificity. CoRR abs/1606.01292 (2016) - 2015
- [j61]Ruifeng Xu, Lin Gui, Jun Xu, Qin Lu, Kam-Fai Wong:
Cross lingual opinion holder extraction based on multi-kernel SVMs and transfer learning. World Wide Web 18(2): 299-316 (2015) - [c113]Baolin Peng, Jing Li, Junwen Chen, Xu Han, Ruifeng Xu, Kam-Fai Wong:
Trending Sentiment-Topic Detection on Twitter. CICLing (2) 2015: 66-77 - [c112]Ruifeng Xu, Zhaoyu Wang, Jun Xu, Junwen Chen, Qin Lu, Kam-Fai Wong:
An Iterative Emotion Classification Approach for Microblogs. CICLing (2) 2015: 104-113 - [c111]Jing Ma, Wei Gao, Zhongyu Wei, Yueming Lu, Kam-Fai Wong:
Detect Rumors Using Time Series of Social Context Information on Microblogging Websites. CIKM 2015: 1751-1754 - [c110]Jing Li, Wei Gao, Zhongyu Wei, Baolin Peng, Kam-Fai Wong:
Using Content-level Structures for Summarizing Microblog Repost Trees. EMNLP 2015: 2168-2178 - [c109]Kaisong Song, Shi Feng, Wei Gao, Daling Wang, Ge Yu, Kam-Fai Wong:
Personalized Sentiment Classification Based on Latent Individuality of Microblog Users. IJCAI 2015: 2277-2283 - [c108]Baolin Peng, Kaisheng Yao, Jing Li, Kam-Fai Wong:
Recurrent Neural Networks with External Memory for Spoken Language Understanding. NLPCC 2015: 25-35 - [c107]Jing Li, Zhongyu Wei, Hao Wei, Kangfei Zhao, Junwen Chen, Kam-Fai Wong:
Learning to Rank Microblog Posts for Real-Time Ad-Hoc Search. NLPCC 2015: 436-443 - [c106]Xu Han, Binyang Li, Jing Ma, Yuxiao Zhang, Gaoyan Ou, Tengjiao Wang, Kam-Fai Wong:
UIR-PKU: Twitter-OpinMiner System for Sentiment Analysis in Twitter at SemEval 2015. SemEval@NAACL-HLT 2015: 664-668 - [c105]Jia Zhu, Gabriel Pui Cheong Fung, Kam-Fai Wong, Binyang Li, Zhixu Li, Haoye Dong:
The Role of Physical Location in Our Online Social Networks. WAIM 2015: 498-501 - [i3]Baolin Peng, Zhengdong Lu, Hang Li, Kam-Fai Wong:
Towards Neural Network-based Reasoning. CoRR abs/1508.05508 (2015) - 2014
- [c104]Binyang Li, Lanjun Zhou, Zhongyu Wei, Kam-Fai Wong, Ruifeng Xu, Yunqing Xia:
Web Information Mining and Decision Support Platform for the Modern Service Industry. ACL (System Demonstrations) 2014: 97-102 - [c103]Gaoyan Ou, Wei Chen, Binyang Li, Tengjiao Wang, Dongqing Yang, Kam-Fai Wong:
CLUSM: An Unsupervised Model for Microblog Sentiment Analysis Incorporating Link Information. DASFAA (1) 2014: 481-494 - [c102]Gaoyan Ou, Wei Chen, Tengjiao Wang, Zhongyu Wei, Binyang Li, Dongqing Yang, Kam-Fai Wong:
Exploiting Community Emotion for Microblog Event Detection. EMNLP 2014: 1159-1168 - [c101]Lanjun Zhou, Binyang Li, Zhongyu Wei, Kam-Fai Wong:
The CUHK Discourse TreeBank for Chinese: Annotating Explicit Discourse Connectives for the Chinese TreeBank. LREC 2014: 942-949 - [c100]Zhongyu Wei, Wei Gao, Tarek El-Ganainy, Walid Magdy, Kam-Fai Wong:
Ranking model selection and fusion for effective microblog search. SoMeRA@SIGIR 2014: 21-26 - 2013
- [j60]Zhongyu Wei, Yulan He, Simon Buckingham Shum, Rebecca Ferguson, Wei Gao, Kam-Fai Wong:
A Self-Training Framework for Automatic Identification of Exploratory Dialogue. Int. J. Comput. Linguistics Appl. 4(1): 111-126 (2013) - [j59]Pei Yang, Wei Gao, Qi Tan, Kam-Fai Wong:
A link-bridged topic model for cross-domain document classification. Inf. Process. Manag. 49(6): 1181-1193 (2013) - [j58]Yulan He, Chenghua Lin, Wei Gao, Kam-Fai Wong:
Dynamic joint sentiment-topic model. ACM Trans. Intell. Syst. Technol. 5(1): 6:1-6:21 (2013) - [c99]Zhongyu Wei, Junwen Chen, Wei Gao, Binyang Li, Lanjun Zhou, Yulan He, Kam-Fai Wong:
An Empirical Study on Uncertainty Identification in Social Media Context. ACL (2) 2013: 58-62 - [c98]