Tao Qi

Tao Qi

Tsinghua University

H-index: 22

Asia-China

About Tao Qi

Tao Qi, With an exceptional h-index of 22 and a recent h-index of 22 (since 2020), a distinguished researcher at Tsinghua University, specializes in the field of Responsible AI, Federated Learning, User Modeling, Recommender System, NLP.

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards the Robustness of Differentially Private Federated Learning

Fedsampling: A better sampling strategy for federated learning

Differentially private knowledge transfer for federated learning

Semi-supervised named entity recognition in multi-level contexts

Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction

Semi-fairvae: Semi-supervised fair representation learning with adversarial variational autoencoder

Privacy-preserving, Efficient, and Effective Machine Learning

Userbert: Pre-training user model with contrastive self-supervision

Tao Qi Information

University

Position

___

Citations(all)

2103

Citations(since 2020)

2100

Cited By

117

hIndex(all)

22

hIndex(since 2020)

22

i10Index(all)

34

i10Index(since 2020)

34

Email

University Profile Page

Tsinghua University

Google Scholar

View Google Scholar Profile

Tao Qi Skills & Research Interests

Responsible AI

Federated Learning

User Modeling

Recommender System

NLP

Top articles of Tao Qi

Title

Journal

Author(s)

Publication Date

Towards the Robustness of Differentially Private Federated Learning

Proceedings of the AAAI Conference on Artificial Intelligence

Tao Qi

Huili Wang

Yongfeng Huang

2024/3/24

Fedsampling: A better sampling strategy for federated learning

Tao Qi

Fangzhao Wu

Lingjuan Lyu

Yongfeng Huang

Xing Xie

2023/6/25

Differentially private knowledge transfer for federated learning

Nature Communications

Tao Qi

Fangzhao Wu

Chuhan Wu

Liang He

Yongfeng Huang

...

2023/6/24

Semi-supervised named entity recognition in multi-level contexts

Neurocomputing

Yubo Chen

Chuhan Wu

Tao Qi

Zhigang Yuan

Yuesong Zhang

...

2023/2/1

Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction

arXiv preprint arXiv:2202.05139

Chuhan Wu

Fangzhao Wu

Tao Qi

Yanlin Wang

Yuqing Yang

...

2022/2/10

Semi-fairvae: Semi-supervised fair representation learning with adversarial variational autoencoder

arXiv preprint arXiv:2204.00536

Chuhan Wu

Fangzhao Wu

Tao Qi

Yongfeng Huang

2022/4/1

Privacy-preserving, Efficient, and Effective Machine Learning

Chuhan Wu

Fangzhao Wu

Tao Qi

Yongfeng Huang

Xing Xie

2022/6/23

Userbert: Pre-training user model with contrastive self-supervision

Chuhan Wu

Fangzhao Wu

Tao Qi

Yongfeng Huang

2022/7/6

FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling

Chuhan Wu

Fangzhao Wu

Tao Qi

Yongfeng Huang

Xing Xie

2022/8/14

Unified and effective ensemble knowledge distillation

arXiv preprint arXiv:2204.00548

Chuhan Wu

Fangzhao Wu

Tao Qi

Yongfeng Huang

2022/4/1

A federated graph neural network framework for privacy-preserving personalization

Nature Communications

Chuhan Wu

Fangzhao Wu

Lingjuan Lyu

Tao Qi

Yongfeng Huang

...

2022/6/2

Mm-rec: Visiolinguistic model empowered multimodal news recommendation

Chuhan Wu

Fangzhao Wu

Tao Qi

Chao Zhang

Yongfeng Huang

...

2022/7/6

Is News Recommendation a Sequential Recommendation Task?

Chuhan Wu

Fangzhao Wu

Tao Qi

Chenliang Li

Yongfeng Huang

2022/7/6

Quality-aware news recommendation

arXiv preprint arXiv:2202.13605

Chuhan Wu

Fangzhao Wu

Tao Qi

Yongfeng Huang

2022/2/28

Feedrec: News feed recommendation with various user feedbacks

Chuhan Wu

Fangzhao Wu

Tao Qi

Qi Liu

Xuan Tian

...

2022/4/25

ProFairRec: Provider Fairness-aware News Recommendation

Tao Qi

Fangzhao Wu

Chuhan Wu

Peijie Sun

Le Wu

...

2022/7/6

Two birds with one stone: Unified model learning for both recall and ranking in news recommendation

ACL:Findings

Chuhan Wu

Fangzhao Wu

Tao Qi

Yongfeng Huang

2022

Are big recommendation models fair to cold users?

arXiv preprint arXiv:2202.13607

Chuhan Wu

Fangzhao Wu

Tao Qi

Yongfeng Huang

2022/2/28

Fedcl: Federated contrastive learning for privacy-preserving recommendation

arXiv preprint arXiv:2204.09850

Chuhan Wu

Fangzhao Wu

Tao Qi

Yongfeng Huang

Xing Xie

2022/4/21

News Recommendation with Candidate-aware User Modeling

SIGIR 2022

Tao Qi

Fangzhao Wu

Chuhan Wu

Yongfeng Huang

2022/7

See List of Professors in Tao Qi University(Tsinghua University)

Co-Authors

H-index: 38
Chuhan Wu

Chuhan Wu

Tsinghua University

H-index: 9
Suyu Ge

Suyu Ge

Tsinghua University

H-index: 4
Yubo Chen

Yubo Chen

Tsinghua University

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