Yuwei Cheng

About Me

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.

Research Interests

Online Learning, Reinforcement Learning, Machine Learning, Algorithmic Game Theory

Publication

Yao, F., Cheng, Y., Wei, E., & Xu, H. (2024). Single-Agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning. Under Review

Cheng, Y., Yao, F., Liu, X., & Xu, H. (2024). Learning from Imperfect Human Feedback: a Tale from Corruption-Robust Dueling. arXiv preprint arXiv:2405.11204.

Quaye, S. E. D., Cheng, Y., Tan, R. K. J., Koo, J. R., Prem, K., Teo, A. K. J., & Cook, A. R. (2023). Application of the network scale-up method to estimate the sizes of key populations for HIV in Singapore using online surveys. Journal of the International AIDS Society 26 (3), e25973

Cheng, Y., Tran Minh, N., Tran Minh, Q., Khandelwal, S., & Clapham, H. E. (2022). Estimates of Japanese Encephalitis mortality and morbidity: A systematic review and modeling analysis.. PLoS Negl Trop Dis 16(5): e0010361

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