Preprint paper 'VL-SAFE: Vision-Language Guided Safety-Aware Reinforcement Learning with World Models for Autonomous Driving' and other papers published; Participated in CVPR Workshop paper 'Talk2Traffic: Interactive and Editable Traffic Scenario Generation for Autonomous Driving with Multimodal Large Language Model'.
Research Experience
Currently a Research Assistant and Teaching Assistant at the Lyles School of Civil and Construction Engineering, Purdue University.
Education
Ph.D. student in Civil Engineering (Transportation) at Purdue University, advised by Prof. Samuel Labi at the Center for Connected and Automated Transportation (CCAT), and co-advised by Prof. Sikai Chen at Sky-Lab; Graduated from Beijing University of Technology (BJUT) in July 2024.
Background
Research interests include Artificial Intelligence in transportation and Intelligent Autonomous Systems, with a particular focus on autonomous driving, human-in-the-loop AI, human-robot interaction, reinforcement learning, multimodal large language models, transfer learning, spatiotemporal data mining, and traffic safety. Aims to bridge the gap between theoretical advancements and practical applications, creating innovative AI systems that not only advance academic understanding but also transform real-world transportation, contributing to smarter, safer, and more sustainable mobility solutions for the future.
Miscellany
Looking for summer 2026 internship opportunities; Attended the 11th Midwest Workshop on Control and Game Theory (MWCGT), visited Google, and attended the 2025 TRB Annual Meeting.