A Reinforcement Learning Framework for Train Rescheduling. - Qi Shi; Dongliang Cui; Shengping Yu; Zhiming Yuan; Lijuan Cheng; Peng Yue 005 (ICAC, 2022)

Real-time Rescheduling for Multi-section High-speed Railway Trains Based on Simulation Optimization. - Ruiguang Liu; Xuewu Dai; Dongliang Cui; Peng Yue 005 (ITSC, 2022)

Graph Q-learning Assisted Ant Colony Optimization for Vehicle Routing Problems with Time Windows. - Peng Yue 005; Shiqing Liu; Yaochu Jin (GECCO Companion, 2023)

Reinforcement Learning for Online Dispatching Policy in Real-Time Train Timetable Rescheduling. - Peng Yue 005; Yaochu Jin; Xuewu Dai; Zhenhua Feng 001; Dongliang Cui (IEEE Trans. Intell. Transp. Syst., 2024)

A Data-Driven Surrogate Modeling for Train Rescheduling in High-Speed Railway Networks Under Wind-Caused Speed Restrictions. - Ruiguang Liu; Dongliang Cui; Xuewu Dai; Peng Yue 005; Zhiming Yuan (IEEE Trans Autom. Sci. Eng., 2024)

Reinforcement Learning for Scalable Train Timetable Rescheduling With Graph Representation. - Peng Yue 005; Yaochu Jin; Xuewu Dai; Zhenhua Feng 001; Dongliang Cui (IEEE Trans. Intell. Transp. Syst., 2024)

OD-TGCN: An Observer-Driven Temporal Graph Convolutional Network for Early Fault Detection of Control Systems. - Yuxiang Hu; Xuewu Dai; Peng Yue 005; Jinliang Ding; Tianyou Chai (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)

A Learning-Based Approach for Train Timetable Rescheduling With Robustness Guarantee. - Peng Yue 005; Yaochu Jin; Xuewu Dai; Dongliang Cui (IEEE Trans. Syst. Man Cybern. Syst., 2025)