Chuhan Wu is now a Ph.D. candidate with the Department of Electronic Engineering at Tsinghua University, Beijing, China.
His current research interests include recommender systems, user modeling and social media mining.
He has published several papers on conferences and journals in AI, NLP and data mining fields.
Mail: Department of Electronic Engineering, Tsinghua University, Haidian District, Beijing 100084, China
Email: wuchuhan15 [at] gmail.com
Wechat: wuchuhan_thu
Twitter: @WuChuhan
Google Scholar
[07/2021] Invited to serve as a senior PC member for AAAI 2022
[06/2021] Our survey paper on personalized news recommendation is available on arxiv.
[06/2021] Invited to serve as a PC member for ICLR 2022.
[05/2021] Invited to give a talk at the AI Time ACL Pre-conference.
[05/2021] Invited to give a talk at the 13th Doctoral Candidate Nanshan Academic Forum of Guangdong-Hong Kong-Macau Grand Bay District & No.635 Doctoral Forum, Tsinghua University.
[05/2021] Invited to give a talk at the AIS Pre-conference.
[05/2021] Mentioned by Baidu's Top 100 List of Chinese Rising Stars in AI.
[05/2021] Four papers are accepted by the main conference or the Findings of ACL-IJCNLP 2021.
[04/2021] One paper is accepted by IJCAI 2021.
[04/2021] Invited to serve as a reviewer for ACL Rolling Review (ARR).
[04/2021] The 1st International Workshop on News Recommendation and Intelligence is successfully held! Video will be soon released.
[04/2021] Two papers are accepted by SIGIR 2021.
[04/2021] Invited to serve as a PC member for NeurIPS 2021.
[03/2021] One paper is accepted by NAACL 2021.
[03/2021] Invited to serve as a PC member for EMNLP 2021.
[03/2021] Invited to give a talk at AI Time.
[02/2021] The acceptance notification of the 1st International Workshop on News Recommendation and Intelligence is out.
[01/2021] Served as a session chair for IJCAI 2020.
[01/2021] Invited to give a talk at AI Time.
[12/2020] One paper is accepted by AAAI 2021.
[11/2020] The 1st International Workshop on News Recommendation and Intelligence will be jointly held with The Web Conference 2021.
[11/2020] Invited to serve as a PC member for ICML 2021.
2021
Personalized News Recommendation: A Survey [arxiv]
DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning [arxiv]
Rethinking InfoNCE: How Many Negative Samples Do You Need? [arxiv]
FedGNN: Federated graph neural network for privacy-preserving recommendation. [arxiv]
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. [arxiv]
FeedRec: News Feed Recommendation with Various User Feedbacks. [arxiv]
Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation. [arxiv]
MM-Rec: Multimodal News Recommendation. [arxiv]
2021
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang: Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling. ACL-IJCNLP 2021.
Chuhan Wu, Fangzhao Wu, Yongfeng Huang: One Teacher is Enough? Language Model Distillation from Multiple Teachers. Findings of ACL-IJCNLP 2021.
Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie: User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation. IJCAI 2021.
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang: Empowering News Recommendation with Pre-trained Language Models. SIGIR 2021. [Code]
Chuhan Wu, Fangzhao Wu, Yongfeng Huang: DA-Transformer: Distance-aware Transformer. NAACL 2021.
Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie: Fairness-aware News Recommendation with Decomposed Adversarial Learning. AAAI 2021. [Code]
2020
Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie: PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision. Findings of EMNLP 2020.[Code]
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang: User Modeling with Click Preference and Reading Satisfaction for News Recommendation. IJCAI-PRICAI 2020. [Code]
Chuhan Wu, Fangzhao Wu, Tao Qi, Xiaohui Cui, Yongfeng Huang: Attentive Pooling with Learnable Norms for Text Representation. ACL 2020.
Chuhan Wu, Fangzhao Wu, Tao Qi, Junxin Liu, Yongfeng Huang, Xing Xie: Detecting Entities of Works for Chinese Chatbot. TALLIP.
2019
Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang, Xing Xie: Neural News Recommendation with Heterogeneous User Behavior. EMNLP 2019.
Chuhan Wu, Fangzhao Wu, Tao Qi, Suyu Ge, Yongfeng Huang, Xing Xie: Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network. EMNLP 2019. [Code]
Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang, Xing Xie: Neural News Recommendation with Multi-Head Self-Attention. EMNLP 2019. [PDF][Code]
Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie: NPA: Neural News Recommendation with Personalized Attention. KDD 2019: 2576-2584. [PDF][Code]
Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie: Neural News Recommendation with Attentive Multi-View Learning. IJCAI 2019: 3863-3869. [PDF][Code]
Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie: Neural News Recommendation with Topic-Aware News Representation. ACL 2019: 1154-1159 (Short Paper).
Chuhan Wu, Fangzhao Wu, Junxin Liu, Shaojian He, Yongfeng Huang, Xing Xie: Neural Demographic Prediction using Search Query. WSDM 2019: 654-662 [Code]
Chuhan Wu, Fangzhao Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang, Xing Xie: MSA: Jointly Detecting Drug Name and Adverse Drug Reaction Mentioning Tweets with Multi-Head Self-Attention. WSDM 2019: 33-41
Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang: Semi-supervised dimensional sentiment analysis with variational autoencoder. Knowl.-Based Syst. 165: 30-39 (2019)
2018
Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Yongfeng Huang: A hybrid unsupervised method for aspect term and opinion target extraction. Knowl.-Based Syst. 148: 66-73 (2018)
Chuhan Wu, Fangzhao Wu, Sixing Wu, Yongfeng Huang, Xing Xie: Tweet Emoji Prediction Using Hierarchical Model with Attention. UbiComp/ISWC Adjunct 2018: 1337-1344
Chuhan Wu, Fangzhao Wu, Yubo Chen, Sixing Wu, Zhigang Yuan, Yongfeng Huang: Neural Metaphor Detecting with CNN-LSTM Model. FigLang@NAACL-HLT 2018: 110-114
Chuhan Wu, Fangzhao Wu, Junxin Liu, Sixing Wu, Yongfeng Huang, Xing Xie Detecting Tweets Mentioning Drug Name and Adverse Drug Reaction with Hierarchical Tweet Representation and Multi-Head Self-Attention. SMM4H@EMNLP 2018: 34–37
Chuhan Wu, Fangzhao Wu, Sixing Wu, Junxin Liu, Zhigang Yuan, Yongfeng Huang: THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning. SemEval@NAACL-HLT 2018: 51-56
2017
Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Sixing Wu, Zhigang Yuan: THU_NGN at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases with Deep LSTM. IJCNLP (Shared Tasks) 2017: 47-52
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1st EMNLP 2018 SMM4H Task 1&3
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1st NAACL metaphor Shared Task
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2nd SemEval-2018 Task 3
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1stIJCNLP-2017 Shared Task 2
My team achieved the 1st place in EMNLP 2018 SMM4H shared task 1 & 3, NAACL 2018 metaphor shared task, and the IJCNLP 2017 shared task 2.
We achieved the 2nd place in SemEval task 3.
Conference Activities
Senior PC Member, The 36th AAAI Conference on Artificial Intelligence (AAAI), 2022
PC Member, The Tenth International Conference on Learning Representations (ICLR), 2022
Reviewer, ACL Rolling Review (ARR)
PC Member, CAAI International Conference on Artificial Intelligence (CICAI), 2021
PC Member, Conference on Neural Information Processing Systems (NeurIPS), 2021
PC Member, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Session Chair, the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI), 2020
PC Member, the 38th International Conference on Machine Learning (ICML), 2021
Program Chair, 1st International Workshop on News Recommendation and Intelligence, collocated with WWW, 2021
PC Member, International Conference on Database Systems for Advanced Applications (DASFAA), 2021
PC Member, Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021
PC Member, The 35th AAAI Conference on Artificial Intelligence (AAAI), 2021
External Reviewer, The 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 9th International Joint Conference on Natural Language Processing (AACL-IJCNLP), 2020
PC Member, The Web Conference, 2021
PC Member, Conference on Neural Information Processing Systems (NeurIPS), 2020
PC Member, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
PC Member, 1st Joint Workshop on Narrative Understanding, Storylines, and Events, collocated with ACL, 2020
PC Member, The 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020
PC Member, The Web Conference, 2020
PC Member, The 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019
PC Member, The 9th WASSA workshop, collocated with EMNLP, 2018
PC Member, The workshop on Figurative Language Processing workshop (Figlang), collocated with NAACL, 2018
PC Member, The 12th International Workshop on Semantic Evaluation (SemEval), 2018
Reviewer, The International conference on Image, Video Processing and Artificial Intelligence (IVPAI), 2018
Reviewer, The 2nd International Conference on Computer Science and Application Engineering (CSAE), 2018
Journal Reviewers
ACM Transactions on Intelligent Systems and Technology (TIST)
IEEE Transactions on Knowledge and Data Engineering (TKDE)
ACM Transactions on Information Systems (TOIS)
IEEE Transactions on Big Data
IEEE Transactions on Multimedia (TMM)
IEEE Transactions on Network Science and Engineering
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)
Computers & Security
Neural Processing Letters (NPL)
IEEE Access
Complexity
Concurrency and Computation: Practice and Experience
Microsoft Research Asia, Social Computing (SC) group (Jan. 2018 - Aug. 2018)
2021
1. Top 100 Chinese Rising Stars in AI (Baidu)
2020
1. National Scholarship
2. Finalist in the Bytedance Scholarship
3. Post-graduate "EE Star" (5 out of all post-graduates at Department of Electronic Engineering, Tsinghua University)
2019
1. Microsoft Research Asia Fellowship
2. Top 40 in the Baidu Scholarship
3. Special Prize in National "Challenge Cup"
4. Outstanding Graduates of Beijing
5. Excellent Graduates of Tsinghua University
6. Excellent Graduation Design
2018
1. National Scholarship
2. Student "Future Scholar" (10/3300+ in Tsinghua University)
3. "Star of Tomorrow" Award at Microsoft Research Asia
4. Friends of Tsinghua University - Geru Zheng Scholarship
5. Academic Excellence Scholarship
6. Innovation Excellence Scholarship
2017
1. Nanxiang Jiang Scholarship (40/3300+ in Tsinghua University)
2. Qualcomm Scholarship (50/3300+ in Tsinghua University)
3. Academic Excellence Scholarship
4. Innovation Excellence Scholarship
5. Social Work Excellence Scholarship
2016
1. Friends of Tsinghua University - Geru Zheng Scholarship
2. Academic Excellence Scholarship
3. Practice Excellence Scholarship
