AccidentGPT: Accident Analysis and Prevention from V2X Environmental Perception with Multi-modal Large Model. - Lening Wang; Yilong Ren; Han Jiang 003; Pinlong Cai; Daocheng Fu; Tianqi Wang; Zhiyong Cui; Haiyang Yu 002; Xuesong Wang 006; Hanchu Zhou; Helai Huang; Yinhai Wang (CoRR, 2023)

Optimal adaptive nonpharmaceutical interventions to mitigate the outbreak of respiratory infections following the COVID-19 pandemic: a deep reinforcement learning study in Hong Kong, China. - Yao Yao; Hanchu Zhou; Zhidong Cao; Daniel Dajun Zeng; Qingpeng Zhang (J. Am. Medical Informatics Assoc., 2023)

Impact and revolution on law on road traffic safety by autonomous driving technology in China. - Lin Xu; Bingbing He; Hanchu Zhou; Jun He (Comput. Law Secur. Rev., 2023)

Crash Causing Information Extraction via Text Mining Techniques: Implementation of the Chinese State-related Crash Narratives. - Neng Xiong; Hanchu Zhou (ICACI, 2024)

AccidentGPT: A V2X Environmental Perception Multi-modal Large Model for Accident Analysis and Prevention. - Lening Wang; Yilong Ren; Han Jiang 003; Pinlong Cai; Daocheng Fu; Tianqi Wang; Zhiyong Cui; Haiyang Yu 002; Xuesong Wang 006; Hanchu Zhou; Helai Huang; Yinhai Wang (IV, 2024)

Evaluating Autonomous Vehicle Safety Performance Through Analysis of Pre-Crash Trajectories of Powered Two-Wheelers. - Rui Zhou; Ziqian Lin; Guoqing Zhang; Helai Huang; Hanchu Zhou; Jiguang Chen (IEEE Trans. Intell. Transp. Syst., 2024)

Generating intersection pre-crash trajectories for autonomous driving safety testing using Transformer Time-Series Generative Adversarial Networks. - Xichang Liu; Helai Huang; Jiang Bian; Rui Zhou; Zhiyuan Wei; Hanchu Zhou (Eng. Appl. Artif. Intell., 2025)

CarDreamer: Open-Source Learning Platform for World-Model-Based Autonomous Driving. - Dechen Gao; Shuangyu Cai; Hanchu Zhou; Hang Wang; Iman Soltani 001; Junshan Zhang (IEEE Internet Things J., 2025)

UAV Identification via Multiscale Decision Fusion CNN Utilizing Micro-Doppler Features. - Hanchu Zhou; Yi-Jun Chen 001; Anmin Gong; Zhu Yongzhong; Caijing Mo; Wenxuan Xie (IEEE Geosci. Remote. Sens. Lett., 2025)

Interactive Critical Scenario Generation for Autonomous Vehicles Testing Based on In-Depth Crash Data Using Reinforcement Learning. - Zhiyuan Wei; Helai Huang; Guoqing Zhang; Rui Zhou; Xiaolong Luo; Shiqi Li; Hanchu Zhou (IEEE Trans. Intell. Veh., 2025)

IN-RIL: Interleaved Reinforcement and Imitation Learning for Policy Fine-Tuning. - Dechen Gao; Hang Wang; Hanchu Zhou; Nejib Ammar; Shatadal Mishra; Ahmadreza Moradipari; Iman Soltani 001; Junshan Zhang (CoRR, 2025)

VITA: Vision-to-Action Flow Matching Policy. - Dechen Gao; Boqi Zhao; Andrew Lee 002; Ian T. Chuang; Hanchu Zhou; Hang Wang; Zhe Zhao; Junshan Zhang; Iman Soltani 001 (CoRR, 2025)

EI-Drive: A Platform for Cooperative Perception With Realistic Communication Models. - Hanchu Zhou; Edward Xie; Wei Shao 006; Dechen Gao; Michelle Dong; Junshan Zhang (IEEE Internet Things J., 2025)