Currently, I am a Research Assistant Professor at City University of Hong Kong (2025-).
I received Ph.D. (2021-2024) at Department of Data Science, City University of Hong Kong, supervised by Prof. Minghua Chen.
I received B.Eng. (2016-2020) at School of Intelligent Systems Engineering, Sun Yat-sen University, supervised by Prof. Renxin Zhong.
My research interests lie at the intersection of ML and Optimization, focus on theoretically-grounded algorithms for efficient constrained optimization and generative modeling, and applications in mobility and energy systems.
I have been a member of DeepOPF, working with Prof. Steven Low, focusing on applying ML to power grid operation.
I visited University of Cambridge, working with Prof. Srinivasan Keshav, focusing on power grid resilience under extreme weather.
I contributed to AI for OPF tutorials in Climate Change AI summer school, working with Prof. Priya L. Donti.
I am working with DiDi,
focusing on applying ML for improving efficiency of urban mobility-on-demand system.
I worked as a research intern in MSRA (Beijing, 2022)
and Huawei Noah's Ark Lab (Shenzhen, 2021), focusing on applying RL/ML to logistics and wireless optimization.
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đź We have funding for RAs, PhDs, and Postdocs (at CityU or CUHK-SZ).
Please mail me with CV if interested in research opportunities.
Learning and Optimization with Hard Constraints
Also presented at ICLR 2025 DeLTa Workshop. Outstanding Short Paper Award.
Conference version presented at ICML 2023.
Learning & Optimization Theory
Learning for Decision-Making
Deployed in DiDi (largest ride-sourcing platform in China).
Ride-Sourcing Optimization
Solo, 2nd Place.
Deployed in DiDi (largest ride-sourcing platform in China).
Traffic Signal Control
Power Grid Operation