I am a first-year Computer Science Ph.D. student at
Previously, I obtained my M.Phil. degree in Electronic and Computer Engineering at
Here is my CV/Resume.
I am interested in understanding how an intelligent, embodied agent can acquire, store, and use knowledge of its surrounding world. Before my Ph.D. journey, I worked on reinforcement learning and imitation learning. I proposed imitation learning algorithms that can leverage cross domain expert data, learn more sample efficiently with MCTS planning, and generalize better with relational inductive bias. I also studied the application of robot learning algorithms on real robotics problem such as dexterous manipulation.
◤ Selected Publications
My recent representative works are marked with ★.
Dexterous robotic hand with touch-only control.
Zhao-Heng Yin*, Binghao Huang*, Yuzhe Qin, Qifeng Chen, Xiaolong Wang
Zhao-Heng Yin, Yang Gao, Qifeng Chen
"Aligning Robot Representation with Humans"
Zhao-Heng Yin, Weirui Ye, Qifeng Chen, Yang Gao
We propose EfficientZero-Continuous and EfficientImitate for sample efficient robot learning.
Zhao-Heng Yin, Lingfeng Sun, Hengbo Ma, Masayoshi Tomizuka, Wu-Jun Li
Yuzhe Qin*, Binghao Huang*,
Zhao-Heng Yin, Hao Su, Xiaolong Wang
CoRL 2022   PDF
Zhao-Heng Yin*, Lingfeng Sun*, Liting Sun, Masayoshi Tomizuka, Wei Zhan
IROS 2021   PDF
Zhao-Heng Yin, Wu-Jun Li
arXiv 2020   PDF
Some fun projects I participated in the past.
Bio-inspired* Direct-Drive Palmar Manipulation with Visual Imitation Learning
with Ka Hei Mak and Jungwon Seo (2021)
* guess where the inspiration comes from :P
My Chinese Name (surname first): 殷 兆恒.