Published several papers such as 'TAI3: Testing Agent Integrity in Interpreting User Intent' (NeurIPS 2025), 'Temporal Logic-Based Multi-Vehicle Backdoor Attacks against Offline RL Agents in End-to-end Autonomous Driving' (NeurIPS 2025); Received NeurIPS’25 Scholar Award; Co-authored papers that won ACM SIGSOFT Distinguished Paper Award and Distinguished Artifact Award.
Research Experience
Served as a Deep Learning Compiler Intern at Apple Neural Engine Compiler Team; Participated in multiple research projects, including LLM agent for protocol auditing, user intent integrity on LLM agents, backdoor attack in RL agents, etc.
Education
Ph.D. (in progress): Purdue University, Advisor: Xiangyu Zhang; B.Sc.: Nanjing University (graduated in 2020), Initial Advisors: Prof. Fengyuan Xu and Dr. Hao Wu.
Background
Research Interest: Trustworthy Autonomous Systems, Safe Deployment of Foundation Models; Professional Field: Computer Science; Brief Introduction: A fifth-year Ph.D. student from the Department of Computer Science at Purdue University, advised by Professor Xiangyu Zhang.