I am a 2nd year M.S and Incoming Ph.D student in UIUC Siebel School of Computer Science. I am a member of Scale-ML Lab, where I am advised by Prof. Tong Zhang. I also receive co-supervision from Prof. Huan Zhang.
My interest generally lies in Machine Learning Algorithms for Decision Making, with application on Embodied AI and Robotics.
Prior to this, I obtained my Bachelor of Science in HKU, with the thesis advised by Prof. Yanchao Yang and Prof. Yi Ma.
Recent News
Oct 20, 2025
We got access to the UIUC Robotics Lab and started to work on Real Robots for the first time!
Oct 14, 2025
ERA(Embodied Reasoning Agent) is finished and released! Check out if you are interested in transforming a small VLM into Embodied Agent with Pretraining and Online Reinforcement Learning.
July 12, 2025
I am very fortunate to give an Oral Talk at ICML 2025 for our work EmbodiedBench.
Mar 20, 2025
We released EmbodiedBench: A comprehensive evaluating system for more fine-grained understanding of the capability of VLM for embodied tasks.
Selected Publications
Awards & Honors
- HKU & Tang Pik Kau, Full Tuition Scholarships from 2020-2024
- HKU Undergraduate Scholarship for Outstanding Academic Talents
- First Prize, National Applied Physics Competition
- Silver medal, National Pan-Pearl River Delta Physics Competition
- Second Prize, Chinese Physics Olympics Competition
- First Prize, Beijing Mechanics Competition
Miscellaneous
Teaching
- Teaching Assistant for CS443: Reinforcement Learning by Prof. Nan Jiang(This one and its theoretical version is really good, take it)
- Teaching Assistant for CS441: Machine Learning by Prof. Dave Dalpiaz
- Teaching Assistant for CS307: Data modeling and learning by Prof. Dave Dalpiaz
- Teaching Assistant for CS231: Computer Architecture by Prof. Craig Zilles
Hobbies & Interests
- I used to play piano for fun and passed ninth-grade standard piano exam
- There are many sports i like(d), currently i devote most of the time in table tennis
- I used to memorized the first 2000 digits of Pi forward and backward for i do not know why.