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.
Leading the research on humanoid robot control, character animation, physics simulation, and embodied AI.
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 real-time perception systems.
Built a solid foundation in algorithms, numerical analysis, and robotics programming.