I am a fourth-year Statistics PhD student at the University of Chicago, where I am fortunate to be advised by Professor Haifeng Xu. Prior to joining UChicago, I had an wonderful year at the Saw Swee Hock School of Public Health from 2020 to 2021, working on epidemic modeling under the supervision of Professor Hannah Clapham. I completed my undergraduate studies at the National University of Singapore from 2016 to 2020, with double degrees in Statistics and Economics. My Bachelor’s thesis was guided by Professors Alex Cook and Junjian Yi.
AI for Social Good, Preference Alignment, Online Learning, Reinforcement Learning, and Algorithmic Game Theory
[W1]. Personalized Ad Impact with Contextual Markov Decision Processes: Long-Term Poisson Rewards and Near-Optimal Bidding Algorithms
Yuwei Cheng, Zifeng Zhao and Haifeng Xu
Under Review
[P4]. Single-Agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning.
Fan Yao *, Yuwei Cheng *, Ermin Wei and Haifenf Xu
ICLR 2025: Proc. 13th International Conference on Learning Representations, 2025.
[P3]. Learning from Imperfect Human Feedback: a Tale from Corruption-Robust Dueling.
Yuwei Cheng, Fan Yao, Xuefeng Liu and Haifeng Xu
Best Poster Award at Midwest Machine Learning Symposium, 2024
ICLR 2025: Proc. 13th International Conference on Learning Representations, 2025.
Sharon Esi Duoduwa Quaye, Yuwei Cheng, Rayner Kay Jin Tan, Joel R Koo, Kiesha Prem, Alvin Kuo Jing Teo and Alex R Cook
Journal of the International AIDS Society, Vol. 26, No. 3, Article e25973, 2023.
Yuwei Cheng, Nhat Tran Minh, Quan Tran Minh, Shreya Khandelwal and Hannah E. Clapham
PLoS Neglected Tropical Diseases, Vol. 16, No. 5, Article e0010361, 2022.
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