Welcome

The Yang Research Group at Johns Hopkins University focuses on computational systems and models in transportation, public health, and optimization. Our research integrates data-driven modeling with computational theory to advance intelligent system design.

News

Paper published in Nature Communications

Our paper on SafeTraffic Copilot has been published in Nature Communications and featured by the JHU Hub. Congratulations to the authors!

Emergency responders at a traffic crash scene

Paper accepted to NeurIPS 2025

We are excited to announce that our papers have been accepted to NeurIPS 2025. Congratulations to the authors!

NCHRP project awarded on generative AI for transportation planning

Prof. Hao Frank Yang will lead a Johns Hopkins research project developing a primer for using generative AI models in transportation planning.

Paper published in IEEE TPAMI

A research team led by Prof. Hao Frank Yang developed an EMOS framework to improve autonomous driving safety and efficiency.

Autonomous driving mixture of experts system

Paper published in Transportation Research Part C

Hopkins engineers put large language model agents behind the wheel to study how AI agents reason in driving scenarios.