I am a 4th year Ph.D. candidate in the Department of Electronic Engineering at Tsinghua University, advised by Prof. Yongfeng Huang.

Research Interest

Responsible AI, Federated Learning, User Modeling, Recommender System, NLP

Education

• Ph.D. in Electronic Engineering, Tsinghua University, 08/2020 - Now
• B.E. in Electronic Engineering, Tsinghua University, 08/2016 - 06/2020

Selected Publications

• Tao Qi et al., Differentially Private Knowledge Transfer for Federated Learning. Nature Communications 2023. [Paper] [Slides] [Code]

• Tao Qi et al., FedSampling: A Better Sampling Strategy for Federated Learning. IJCAI 2023. [Paper] [Slides] [Code]

• Tao Qi et al., FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. NeurIPS 2022. [Paper] [Slides] [Code]

• Tao Qi et al., ProFairRec: Provider Fairness-aware News Recommendation. SIGIR 2022. [Paper] [Slides] [Code]

• Tao Qi et al., News Recommendation with Candidate-aware User Modeling. SIGIR (short paper) 2022. [Paper] [Slides] [Code]

• Tao Qi et al., FUM: Fine-grained and Fast User Modeling for News Recommendation. SIGIR (short paper) 2022. [Paper] [Slides] [Code]

• Tao Qi et al., Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving. EMNLP:Findings 2021. [Paper] [Slides] [Code]

• Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang. PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity. ACL 2021. [Paper] [Slides] [Code]

• Tao Qi et al., HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation. ACL 2021. [Paper] [Slides] [Code]

• Tao Qi et al., Personalized News Recommendation with Knowledge-aware Interactive Matching. SIGIR 2021. [Paper] [Slides] [Code]

• Tao Qi et al., Privacy-Preserving News Recommendation Model Learning. EMNLP:Findings 2020. [Paper] [Code]

For a full publication list, please visit my [Google Scholar]

Research Experiences

• Intern, Microsoft Research Asia Social Computing group, 05/2019 - 06/2020

Selected Honor & Award

• MSRA Fellowship Award Nomination, MSRA, 2021
• Academic Excellence Scholarship, EE Department of Tsinghua University, 2022
• Academic Excellence Scholarship, EE Department of Tsinghua University, 2021
• Star of Tomorrow Award, Microsoft Research Asia, 2020
• Outstanding Undergraduate Thesis Award, Tsinghua University, 2020
• Academic Excellence Scholarship, Tsinghua University, 2019
• Innovation Excellence Scholarship, Tsinghua University, 2019
• Academic Excellence Scholarship, Tsinghua University, 2018
• Academic Excellence Scholarship, Tsinghua University, 2017

Academic Services

• PC Member: NeurIPS, ICML, KDD, IJCAI, AAAI
• Reviewer: TPAMI, ACL Rolling Review, Artificial Intelligence Review, Information Sciences