Yihang Tao | 陶祎航

I am currently pursuing my PhD degree in the Department of Computer Science at City University of Hong Kong, advised by Prof. Yuguang "Michael" Fang. Before that, I received my B.S. degree from the School of Information Science and Engineering, Southeast University, Nanjing, China, in 2021, and my M.S. degree from the School of Computer Science, Shanghai Jiao Tong University, Shanghai, China, in 2024. My research lies at the intersection of World Model, Spatial Intelligence, Computer Vision, and Autonomous Driving, with a particular interest in building learning-based systems that can perceive, reconstruct, predict, and reason about dynamic 3D environments.

"My long-term goal is to build a World Model for Spatial Intelligence: a unified representation that enables intelligent agents to perceive 3D scenes, reason about dynamics, and anticipate how the world may evolve. I am particularly interested in grounding this capability in Computer Vision, Generative Models, and Autonomous Driving."

Towards this goal, my research studies how to learn scalable World Models from visual observations, sparse sensor streams, and multi-agent interactions. In particular, I focus on 3D Vision, Generative Models, and Collaborative Perception for Autonomous Driving, organized into two closely connected thrusts: