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2020 – today
- 2024
[c6]Enming Liang, Minghua Chen:
Generative Learning for Solving Non-Convex Problem with Multi-Valued Input-Solution Mapping. ICLR 2024- [c5]Chenghao Liu, Enming Liang, Minghua Chen:
Characterizing ResNet's Universal Approximation Capability. ICML 2024 - 2023
- [c4]Enming Liang, Minghua Chen, Steven H. Low:
Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set. ICML 2023: 20623-20649 - [c3]Yunping Huang, Nan Zheng, Enming Liang
, Shu-Chien Hsu, Renxin Zhong:
An Approximate Dynamic Programming Approach to Vehicle Dispatching and Relocation Using Time-Dependent Travel Times. ITSC 2023: 2652-2657 - 2022
- [j1]Enming Liang, Kexin Wen, William H. K. Lam, Agachai Sumalee, Renxin Zhong:
An Integrated Reinforcement Learning and Centralized Programming Approach for Online Taxi Dispatching. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4742-4756 (2022) - [c2]Enming Liang, Zicheng Su, Chilin Fang, Renxin Zhong:
OAM: An Option-Action Reinforcement Learning Framework for Universal Multi-Intersection Control. AAAI 2022: 4550-4558 - [c1]Renxin Zhong, Kexin Wen, Chilin Fang, Enming Liang:
Real-time multi-resource jointed scheduling of container terminals with uncertainties using a reinforcement learning approach. ASCC 2022: 110-115
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