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Resume (English only)
Academic Achievements
Publications: 'ARNOLD: A Benchmark for Language-Grounded Task Learning with Continuous States in Realistic Scenes' (ICCV, 2023); 'VRKitchen: an Interactive 3D Environment for Learning Real Life Cooking Tasks' (ICML workshop on Reinforcement Learning for Real Life, 2019); 'Data-Efficient Multitask DAgger' (arXiv preprint, 2025). Projects: RoboVerse accepted by Robotics: Science and Systems (RSS) 2025; UrbanSim accepted as a Highlight paper by IEEE/CVF CVPR 2025.
Research Experience
Research Scientist at The Robotics and AI Institute, focusing on advancing the frontiers of artificial intelligence and robotics. During his doctoral studies, he collaborated extensively with Professor Gaurav Sukhatme (USC & Amazon Alexa AI), Dr. Siyuan Huang, and Dr. Tianmin Shu.
Education
Ph.D., University of California, Los Angeles, supervised by Professor Demetri Terzopoulos and Professor Song-chun Zhu; B.S., University of California, Los Angeles, in Computer Science and Engineering.
Background
Research Interests: Developing intelligent systems that can effectively learn and adapt in complex real-world environments. Key areas of interest include: Foundation Models for Robotics, Large-Scale Simulation, Sim2Real Transfer, and Real2Sim Learning.