Chuhan Wu

[01/2022] One first-author paper and another co-author paper are accepted by the ADS track of KDD 2022.

[04/2022] One paper is accepted by IJCAI 2022.

[04/2022] One survey paper is accepted by TOIS.

[04/2022] Several papers are accepted by SIGIR 2022.

[04/2022] Invited to serve as a PC member for NeurIPS 2022.

[01/2022] One first-author paper is accepted by ACL 2022, and another first-author paper is accepted by Findings of ACL 2022.

[01/2022] One first-author paper is accepted by WWW 2022.

[12/2021] One first-author paper is accepted by TIST.

[10/2021] Invited to serve as a PC member for IJCAI 2022.

[09/2021] Invited to serve as a PC member for WWW 2022.

[08/2021] One first-author paper and one co-authored paper are accepted by EMNLP Findings. One co-authored paper is accepted by EMNLP.

[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.

2022

Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction [arxiv]

Quality-aware News Recommendation [arxiv]

Are Big Recommendation Models Fair to Cold Users? [arxiv]

2021

Smart Bird: Learnable Sparse Attention for Efficient and Effective Transformer [arxiv]

Fastformer: Additive Attention Can Be All You Need [arxiv]

Personalized News Recommendation: A Survey [arxiv]

DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning [arxiv]

FedGNN: Federated graph neural network for privacy-preserving recommendation. [arxiv]

NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. [arxiv]

2022

Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang and Xing Xie: FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. KDD 2022 (ADS Track).

Chuhan Wu, Fangzhao Wu and Yongfeng Huang: Rethinking InfoNCE: How Many Negative Samples Do You Need? IJCAI 2022.

Chuhan Wu, Fangzhao Wu, Yongfeng Huang and Xing Xie: Personalized News Recommendation: Methods and Challenges. ACM TOIS.

Chuhan Wu, Fangzhao Wu, Tao Qi and Yongfeng Huang: PUM: Pre-training User Model with Contrastive Self-supervision. SIGIR 2022.

Chuhan Wu, Fangzhao Wu, Tao Qi, Chenliang Li and Yongfeng Huang: Is News Recommendation a Sequential Recommendation Task? SIGIR 2022.

Chuhan Wu, Fangzhao Wu, Tao Qi, Chao Zhang, Yongfeng Huang and Tong Xu: MM-Rec: Multimodal News Recommendation. SIGIR 2022.

Chuhan Wu, Fangzhao Wu, Tao Qi, and Yongfeng Huang: NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. ACL 2022.

Chuhan Wu, Fangzhao Wu, Tao Qi, and Yongfeng Huang: Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation. Findings of ACL 2022.

Chuhan Wu, Fangzhao Wu, Tao Qi, Qi Liu, Xuan Tian, Jie Li, Wei He, Yongfeng Huang and Xing Xie: FeedRec: News Feed Recommendation with Various User Feedbacks. WWW 2022.

2021

Chuhan Wu, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie: FedCTR: Federated Native Ad CTR Prediction with Cross Platform User Behavior Data. ACM TIST.

Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu: NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. EMNLP Findings 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

• 1st EMNLP 2018 SMM4H Task 1&3
• 1st NAACL metaphor Shared Task
• 2nd SemEval-2018 Task 3
• 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

PC Member, Conference on Neural Information Processing Systems (NeurIPS), 2022

PC Member, 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022

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 Services

Reviewer, IEEE Network Magazine

Reviewer, ACM Transactions on Intelligent Systems and Technology (TIST)

Reviewer, IEEE Transactions on Knowledge and Data Engineering (TKDE)

Reviewer, ACM Transactions on Information Systems (TOIS)

Reviewer, ACM Transactions on Knowledge Discovery from Data (TKDD)

Reviewer, IEEE Transactions on Big Data

Reviewer, IEEE Transactions on Multimedia (TMM)

Reviewer, IEEE Transactions on Network Science and Engineering

Reviewer, ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)

Associate Editor, Frontiers in Neuroinformatics

Reviewer, Computers & Security

Reviewer, Neurocomputing

Reviewer, Neural Processing Letters (NPL)

Reviewer, IEEE Access

Reviewer, Complexity

Reviewer, 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