Towards Efficient Connected and Automated Driving System via Multi-agent Graph Reinforcement Learning. - Tianyu Shi; Jiawei Wang 005; Yuankai Wu; Lijun Sun 001 (CoRR, 2020)

Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning. - Jiawei Wang 005; Lijun Sun 001 (IJCAI, 2021)

A Universal Framework of Spatiotemporal Bias Block for Long-Term Traffic Forecasting. - Fuqiang Liu; Jiawei Wang 005; Jingbo Tian; Dingyi Zhuang; Luis Miranda-Moreno; Lijun Sun 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Robust Dynamic Bus Control: a Distributional Multi-Agent Reinforcement Learning Approach. - Jiawei Wang 005; Lijun Sun 001 (IEEE Trans. Intell. Transp. Syst., 2023)

A Hierarchical Framework for Passenger Inflow Control in Metro System With Reinforcement Learning. - Jiaming Zhong; Zhaocheng He; Jiawei Wang 005; Jiemin Xie (IEEE Trans. Intell. Transp. Syst., 2023)

Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation. - Jiawei Wang 005; Renhe Jiang; Chuang Yang 002; Zengqing Wu; Makoto Onizuka; Ryosuke Shibasaki; Noboru Koshizuka; Chuan Xiao 001 (NeurIPS, 2024)

Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation. - Jiawei Wang 005; Renhe Jiang; Chuang Yang 002; Zengqing Wu; Makoto Onizuka; Ryosuke Shibasaki; Chuan Xiao 001 (CoRR, 2024)

CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events. - Xiaojie Yang; Hangli Ge; Jiawei Wang 005; Zipei Fan; Renhe Jiang; Ryosuke Shibasaki; Noboru Koshizuka (KDD (1), 2025)