Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach. - Ke Zhang 035; Meng Li 017; Zhengchao Zhang; Xi Lin 002; Fang He (CoRR, 2020)

Transformer-Based Reinforcement Learning for Pickup and Delivery Problems With Late Penalties. - Ke Zhang 035; Xi Lin 002; Meng Li 017 (IEEE Trans. Intell. Transp. Syst., 2022)

Game Theory-Based Signal Control Considering Both Pedestrians and Vehicles in Connected Environment. - Anyou Wang; Ke Zhang 035; Meng Li 017; Junqi Shao; Shen Li 001 (Sensors, 2023)

Lane clearance for emergency vehicle passage in connected and automated environment: A graph convolutional soft actor-critic method. - Xu Yang; Meng Li 017; Ke Zhang 035; Qianchuan Zhao; Yaming Guo (Expert Syst. Appl., 2025)

CDKFormer: Contextual Deviation Knowledge-Based Transformer for Long-Tail Trajectory Prediction. - Yuansheng Lian; Ke Zhang 035; Meng Li 017 (CoRR, 2025)

Graph Prompt Learning Method for the Demand-Responsive Transport Routing Problem. - Ke Zhang 035; Meng Li 017 (IEEE Trans. Big Data, 2025)

Deep-Reinforcement-Learning-Based Signal Control for Traffic Risk Reduction and Efficiency Improvement at Urban Large Intersections. - Anyou Wang; Ke Zhang 035; Junqi Shao; Shen Li 001 (IEEE Internet Things J., 2025)