Behavior Foundation Model
I am a research scientist working on embodied intelligence, humanoid robotics, and physics-based simulation, focusing on generalization-oriented humanoid skill learning and sim-to-real transfer. I obtained my PhD from The Chinese University of Hong Kong in 2023, advised by Prof. Dahua Lin. I also spent research internships with NVIDIA (Omniverse), SenseTime Research, Megvii Research, and Momenta. My work has been published in top-tier conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICRA, etc, with more than 10,000 citations.
Built pedestrian simulation frameworks for autonomous driving scenarios and large-scale simulation pipelines.
Conducted research on human pose estimation systems from vision-based perception.
Research on embodied intelligence, digital humans, and humanoid skill learning.
Focused on machine intelligence, control, and large-scale perception systems.
Built a solid foundation in algorithms, numerical analysis, and robotics programming.