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Resume (English only)
Academic Achievements
Publications:
- Learning Physics-Aware Rearrangement in Indoor Scenes
- Autonomous Vehicles for Micro-mobility
- OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets
- Auto-calibration Method Using Stop Signs for Urban Autonomous Driving Applications
Research Experience
Worked with Nikolay Atanasov, Manmohan Chandraker, Henrik Christensen, and Xiaoguang Han on reinforcement learning, auto-calibration, and computer vision.
Education
Ph.D. student at Rutgers Robot Learning Lab, Rutgers University (joined in Fall 2022), advisor: Prof. Abdeslam Boularias. M.S. in Computer Science from the University of California, San Diego (UCSD) in 2021. B.Eng. in Electronic Information Engineering from The Chinese University of Hong Kong, Shenzhen (CUHKSZ) in 2019.
Background
Research interests lie in robotics and machine learning, aiming to generalize policy learning algorithms to unseen environments and long-horizon/multi-stage tasks by leveraging expert demonstrations.
Miscellany
Contact and personal links: Email, CV, Google Scholar, LinkedIn, Github