IEEE/RJS International Conference on Intelligent RObots and Systems · 2023
Cited
5
Resume (English only)
Academic Achievements
Published multiple papers in conferences such as ICML 2025, RSS 2024, CVPR 2024, covering areas like generative models, consistency distillation for visuomotor policies, text-to-3D generation, etc.
Research Experience
Co-founder of Apparate Labs (acquired by Luma AI), focusing on real-time visual synthesis of human-centric videos.
Education
Ph.D.: Stanford University, advisor: Prof. Stefano Ermon; B.S.: University of California, Los Angeles, majors: Computer Science and Applied Mathematics, advisors: Prof. Song-Chun Zhu and Prof. Ying-Nian Wu.
Background
Research interests: machine learning methods for generative modeling. Currently a Research Scientist at Luma AI and a Ph.D. student (on leave) at Stanford University, advised by Prof. Stefano Ermon.