Publications

2024

  1. ICLR
    Generative Learning for Solving Non-Convex Problem with Multi-Valued Input-Solution Mapping
    Enming Liang and Minghua Chen.
    In Proceedings of the Twelfth International Conference on Learning Representations. 2024.

2023

  1. ICML
    Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set
    Enming Liang, Minghua Chen, and Steven H. Low.
    In Proceedings of the Fortieth International Conference on Machine Learning. 2023.

2023

  1. TRB
    Hierarchical Control for Stochastic Network Traffic with Reinforcement Learning
    Zicheng Su, Andy H.F. Chow, Chilin Fang, Enming Liang, and Renxin Zhong.
    Transportation Research Part B: Methodological. 2023.

2022

  1. AAAI
    OAM: An Option-Action Reinforcement Learning Framework for Universal Multi-Intersection Control
    Enming Liang, Zicheng Su, Chilin Fang, and Renxin Zhong.
    In Proceedings of the AAAI Conference on Artificial Intelligence. 2022.

2021

  1. TNNLS
    An Integrated Reinforcement Learning and Centralized Programming Approach for Online Taxi Dispatching
    Enming Liang, Kexin Wen, William H.K. Lam, Agachai Sumalee, and Renxin Zhong.
    IEEE Transactions on Neural Networks and Learning Systems. 2021.