Enming Liang

According to our database, Enming Liang authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Solving Chance-Constrained AC-OPF Problem by Neural Network with Bisection-based Projection.

Enming Liang, Min Zhou, Jiawei Zhao, Minghua Chen

Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, 2025

DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited Data.

Jiaqi Yang, Enming Liang, Zicheng Su, Zhichao Zou, Peng Zhen, Jiecheng Guo, Wanjing Ma, Kun An

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Characterizing ResNet's Universal Approximation Capability.

Chenghao Liu, Enming Liang, Minghua Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Generative Learning for Solving Non-Convex Problem with Multi-Valued Input-Solution Mapping.

Enming Liang, Minghua Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Solving Chance-Constrained AC-OPF Problems by Neural Network with Probabilistic Homeomorphic Projection.

Enming Liang

Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, 2024

2023

An Approximate Dynamic Programming Approach to Vehicle Dispatching and Relocation Using Time-Dependent Travel Times.

Yunping Huang, Nan Zheng, Enming Liang, Shu-Chien Hsu, Renxin Zhong

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set.

Enming Liang, Minghua Chen, Steven H. Low

Proceedings of the International Conference on Machine Learning, 2023

2022

An Integrated Reinforcement Learning and Centralized Programming Approach for Online Taxi Dispatching.

Enming Liang, Kexin Wen, William H. K. Lam, Agachai Sumalee, Renxin Zhong

IEEE Trans. Neural Networks Learn. Syst., 2022

Real-time multi-resource jointed scheduling of container terminals with uncertainties using a reinforcement learning approach.

Renxin Zhong, Kexin Wen, Chilin Fang, Enming Liang

Proceedings of the 13th Asian Control Conference, 2022

OAM: An Option-Action Reinforcement Learning Framework for Universal Multi-Intersection Control.

Enming Liang, Zicheng Su, Chilin Fang, Renxin Zhong

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022