Hi, everyone! I’m a second-year Ph.D. student in Gaoling School of Artificial Intelligence, Renmin University of China. It’s a great fortunate to be advised by Prof. Yong Liu.

I’m interested in trustworthy AI (especially fairness and robustness). I’m particularly excited about the fundamental understanding of interesting problems! Welcome to cooperation and discussion.

Education

• 2018-2022: B.E. in Software Engineering from Huazhong University of Science and Technology.

• 2022-Present: Ph.D. Student in Artificial Intelligence at Renmin University of China.

Publications

* indicates equal contribution

Fair Scratch Tickets: Finding Fair Sparse Networks without Weight Training

Pengwei Tang*, Wei Yao*, Zhicong Li, Yong Liu
CVPR 2023

Understanding Fairness Surrogate Functions in Algorithmic Fairness

Wei Yao*, Zhanke Zhou*, Zhicong Li, Bo Han, Yong Liu
TMLR 2024

Random Smooth-based Certified Defense against Text Adversarial Attack

Zeliang Zhang*, Wei Yao*, Susan Liang, Chenliang Xu
EACL 2024 (Findings)

Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models

Chen Qian*, Jie Zhang*, Wei Yao*, Dongrui Liu, Zhenfei Yin, Yu Qiao, Yong Liu, Jing Shao
ACL 2024 (Findings)

Robust Graph Recommendation via Noise-Aware Adversarial Perturbation

Jiakai Tang, Zexu Sun, Wei Yao, Xu Chen
DASFAA 2024

Preprint

* indicates equal contribution

Bag of Tricks to Boost Adversarial Transferability

Zeliang Zhang, Rongyi Zhu, Wei Yao, Xiaosen Wang, Chenliang Xu
arxiv preprint

Research Intern

• 2023.10-2024.3: Shanghai AI Laboratory, hosted by Dr. Jing Shao.

Honors and Awards

National Scholarship, 2019