Jinhan Li
I am Jinhan Li (李谨菡), a incoming PhD student at IIIS, Tsinghua University, advised by Professor Kaifeng Lyu. I spent my undergraduate years in Yao Class, directed by Andrew Chi-Chih Yao. I was very fortunate to work as a student researcher in Professor Yuke Zhu’s group at UT Austin and Professor Yi Wu’s group at IIIS.
My research interests lie broadly in machine learning. I’m attracted to research that integrates empirical observations with rigorous experiments and theoretical analysis, offering insights into modern machine learning techniques. Currently, I’m exploring data-centric methods in LLM pretraining, as well as trying to understand the training dynamics of RLVR. Previously, I worked on robot learning.
I’m open to chatting about research or life. Feel free to drop me an email if you are interested!
News
Selected Publications
2024
-
Learning Agile Bipedal Motions on a Quadrupedal RobotIn 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024ICRA EXPO Best Demo Finalist