September 2026
UNIVERSITY OF WYOMING
Pei Li research group
We work at the intersection of transportation science, multimodal and generative AI, and statistical learning. We study how transportation systems can be understood, predicted, and represented from heterogeneous observations, and how transportation knowledge can improve the reliability of AI models.
Our research spans transportation safety, multimodal AI and reasoning, and digital twins and cooperative mobility.
Recent news
August 2026
August 2026
July 2026
Recent papers
Accident Analysis & Prevention, 234, p.108607.
· 2026
arXiv preprint, arXiv:2607.24168.
· 2026
arXiv preprint, arXiv:2607.05449.
· 2026
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp.718-727.
· 2026
Research projects
2026–2027 · Funded research
2026–2027 · Funded research
2026–2027 · Supported center proposal
2025–2026 · Completed study