Enhancing Transferability of Deep Reinforcement Learning-Based Variable Speed Limit Control Using Transfer Learning. - Zemian Ke; Zhibin Li 003; Zehong Cao; Pan Liu (IEEE Trans. Intell. Transp. Syst., 2021)

Real-time system optimal traffic routing under uncertainties - Can physics models boost reinforcement learning? - Zemian Ke; Qiling Zou; Jiachao Liu; Sean Qian (CoRR, 2024)

Interpretable mixture of experts for time series prediction under recurrent and non-recurrent conditions. - Zemian Ke; Haocheng Duan; Sean Qian (CoRR, 2024)

CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation. - Guofeng Cui; Pichao Wang; Yang Liu; Zemian Ke; Zhu Liu; Vimal Bhat (ACL (Findings), 2025)

Serial distributed reinforcement learning for enhanced multi-objective platoon control in curved road coordinates. - Meng Li; Bingtong Wang; Shunchao Wang; Zemian Ke (Expert Syst. Appl., 2025)

Large Language Models for Traffic and Transportation Research: Methodologies, State of the Art, and Future Opportunities. - Yimo Yan; Yejia Liao; Guanhao Xu; Ruili Yao; Huiying Fan; Jingran Sun; Xia Wang; Jonathan Sprinkle; Ziyan An; Meiyi Ma; Xi Cheng; Tong Liu; et al. (CoRR, 2025)