Zhao-Heng Yin

Alex Zhao-Heng Yin

HKUST Robotics Institute

Kowloon, Hong Kong

zyinag@connect.ust.hk

◤ Biography

I am a second-year M.Phil. student at the Hong Kong University of Science and Technology (HKUST), advised by Prof. Qifeng Chen. I conduct research on reinforcement learning, imitation learning, with their applications in robotics. During my M.Phil., I also work closely with Prof. Yang Gao at Tsinghua University IIIS and Prof. Xiaolong Wang at UC San Diego.

I obtained my B.Sc. degree of Computer Science (Honored Class) and Mathematics advised by Prof. Wu-Jun Li at Nanjing University in 2021. During my undergraduate time, I was a student researcher in Prof. Masayoshi Tomizuka's Lab at UC Berkeley.

Here is my CV/Resume.

[Feb 2023] I will join UC Berkeley EECS as a Computer Science PhD student starting Fall 2023.

◤ Research

I am developing novel algorithms for robot learning. In particular, I am working on imitation learning and reinforcement learning. I have proposed imitation learning algorithms that can leverage cross domain expert data (ICRA'22), learn more sample efficiently with MCTS planning (NeurIPS'22), and generalize better with relational inductive bias (CoRL'22-W). I also study the application of these algorithms on real robotics problem, such as dexterous manipulation.