Wang Chi Cheung

News

• (May 2026) 1 paper accepted to ICML 2026. We studied how (possibly bias) offline data helps reinforcement learning, even when we do not know the magnitude of the bias. Congratulations Lixing and Jiashuo!

• (May 2026) I will serve as a Committee Member for the INFORMS George Nicholson Student Paper Competition 2026. 

• (April 2026) 1 paper accepted to the INFORMS Journal of Computing. We studied how to use (possibly biased) online prediction in an online lead time quotation setting. Congratulations Tianming!

• (April 2026) I will serve as a Area Chair for NeurIPS 2026.

Selected Works

• Wang Chi Cheung, Guodong Lyu, “Online Planning in Non-stationary Environments”, Operations Research 2025. Slides

• Xilin Zhang*, Wang Chi Cheung,  “Online Allocation of Reusable Resources in Non-stationary Environments”, Mathematics of Operations Research 2025.

• Wang Chi Cheung, Lixing Lyu*, “Leveraging (Biased) Information: Multi-armed Bandits with Offline Data”, ICML 2024. 

  • Accepted with Spotlight, top 3.5% submission. Slides

• Guodong Lyu, Wang Chi Cheung, Chung Piaw Teo, Hai Wang, “Multi-objective stochastic optimization: A case of real-time matching in ride-sourcing markets”,  Manufacturing & Service Operations Management, 2024.

• Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu, “Hedging the Drift: Learning to Optimize under Non-Stationarity.” Management Science, Special Issue on Data-Driven Prescriptive Analytics, 2022.

"*" indicates my PhD student.