
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.
Please feel free to contact me if you want to cooperate or discuss with me.
Recent News
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💼 We have funding for RAs and visiting PhD students
Please mail me with CV if interested in research opportunities.
Learning with Hard Constraints
Generative Modeling


Oral & Outstanding Paper Award.
Decision-Focused Learning

Oral. Deployed in DiDi Chuxing.
Learning & Approximation Theory
Ride-Sourcing Optimization

Traffic Signal Control
Power Grid Operation

