Enming Liang
This is Enming Liang (ć˘ćŠć). I received Ph.D. (2021-2024) in Department of Data Science, City University of Hong Kong, supervised by Prof. Minghua Chen. I received my bachelor degree (2016-2020) in School of Intelligent Systems Engineering from Sun Yat-sen University, supervised by Prof. Renxin Zhong. My research interests include Machine Learning for Optimization, and its application for Mobility, Energy, and Climate.
Research & Projects & Competitions
ML for Constrained Optimization
Ensuring NN Solution Feasibility
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Low Complexity Homeomorphic Projection to Ensure NN Solution Feasibility for Optimization over (Non-)Convex Set.
Enming Liang,
Minghua Chen, and
Steven Low. ICML 2023.
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Homeomorphic Projection to Ensure NN Solution Feasibility for Constrained Optimization.
Enming Liang,
Minghua Chen, and
Steven Low. JMLR 2024..
Learning Multi-valued Mapping
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Generative Learning for Solving Non-Convex Problem with Multi-Valued Input-Solution Mapping.
Enming Liang and
Minghua Chen. ICLR 2024.
NN Approximation Capability
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Characterizing ResNet's Universal Approximation Capability.
Chenghao Liu,
Enming Liang, and
Minghua Chen. ICML 2024.
AI for Mobility, Energy, and Climate
Ride-Sourcing Optimization
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An Integrated Reinforcement Learning and Centralized Programming Approach for Online Taxi Dispatching.
Enming Liang,
Kexin Wen,
William Lam, Agachai Sumalee, and
Renxin Zhong.
IEEE TNNLS 2021.
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Learning to Dispatch and Reposition on a Mobility-on-Demand Platform
Enming Liang (Solo winner; 2nd place for track 1; 5th place for track 2). KDD CUP 2020
Traffic Signal Control
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OAM: An Option-Action Reinforcement Learning Framework for Universal Multi-Intersection Control
Enming Liang,
Zicheng Su,
Chilin Fang, and
Renxin Zhong. AAAI 2022.
Power Grid Operation
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AI for Optimal Power Flow Tutorial
Enming Liang,
Priya L. Donti, and
Minghua Chen.
Climate Change AI Summer School 2024
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DeepOPF: Machine Learning for Solving Optimal Power Flow Problems
DeepOPF Team
Extreme Weather Impact
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European Electricity Grids May Exhibit Heatwave-induced Capacity Bottlenecks
Enming Liang,
Minghua Chen, and
Srinivasan Keshav.
2024. (under review)
Enming Liang, Minghua Chen, and Steven Low. ICML 2023.
Enming Liang, Minghua Chen, and Steven Low. JMLR 2024..
Enming Liang and Minghua Chen. ICLR 2024.
Chenghao Liu, Enming Liang, and Minghua Chen. ICML 2024.
Enming Liang, Kexin Wen, William Lam, Agachai Sumalee, and Renxin Zhong. IEEE TNNLS 2021.
Enming Liang (Solo winner; 2nd place for track 1; 5th place for track 2). KDD CUP 2020
Enming Liang, Zicheng Su, Chilin Fang, and Renxin Zhong. AAAI 2022.
Enming Liang, Priya L. Donti, and Minghua Chen. Climate Change AI Summer School 2024
DeepOPF Team
Enming Liang, Minghua Chen, and Srinivasan Keshav. 2024. (under review)