About Me
Make things as simple as possible, but not simpler
– Albert Einstein
Welcome to my homepage. I am an Assistant Professor of Computer Science at the University of Illinois Urbana-Champaign (UIUC).
My research lies in computer vision, machine learning, and robotics, with a specific focus on open-world perception, meta-learning, multi-modal learning, generative modeling, and agent learning.
Before joining Illinois CS, I was a postdoctoral fellow in the Robotics Institute at Carnegie Mellon University, advised by Prof. Martial Hebert. I was a visitor to the Center for Data Science at New York University, working with Prof. Jean Ponce. I obtained my Ph.D. under the supervision of Prof. Martial Hebert in the Robotics Institute. I have also been closely working with Prof. Deva Ramanan and Prof. Ruslan Salakhutdinov. I receive the Best Paper Honorable Mention Award for streaming perception in ECCV 2020, and Best Paper Award Finalist in CVPR 2019, 2022. I am recognized as a Notable Area Chair in ICLR 2023, and an Expert Reviewer in TMLR. I am selected to participate in the National Academy of Engineering’s (NAE) Frontiers of Engineering symposium.
Please feel free to contact me if interested!
- I am always seeking self-motivated Ph.D., M.S., and undergraduate students.
- Our group also has openings for visiting students.
Current Research Topics
- Meta-learning and learning to learn
- Open-world, multi-modal, few-shot, and self-supervised learning
- 3D vision
- Generative modeling, predictive learning
- Human motion and human-object interaction modeling
- Reinforcement learning, robot/agent learning
- In-the-wild applications in robotics, autonomous driving, agriculture, materials science, chemistry, healthcare, etc.
