willjhliang@gmail.com (github, linkedin, gscholar, twitter, notes)
I'm a computer science student at the University of Pennsylvania. My research interests include robot learning, multimodal representations, generative models, and reinforcement learning for capable and robust embodied agents. At Penn, I'm part of the GRASP Laboratory, where I'm fortunate to work with Jason Ma, Dinesh Jayaraman, and Osbert Bastani.
Previously, I've interned at Microsoft (Fungible), Anduril Industries, and Hudson River Trading, working on live sensor data and machine learning infrastructure. I've also dabbled in traditional art and game development.
I am looking for Fall 2025 PhD opportunities!
Yecheng Jason Ma*, William Liang*, Hung-Ju Wang, Sam Wang, Yuke Zhu, Linxi "Jim" Fan, Osbert Bastani, Dinesh Jayaraman
Robotics: Science and Systems (RSS), 2024 (Oral)
ICRA Workshop on Agile Robotics, 2024 (Oral)
ICRA MyoSymposium Workshop, 2024
CVPR Embodied AI Workshop, 2024
Yecheng Jason Ma, William Liang, Guanzhi Wang, De-An Huang, Osbert Bastani, Dinesh Jayaraman, Yuke Zhu, Linxi "Jim" Fan†, Anima Anandkumar†
International Conference on Learning Representations (ICLR), 2024
CoRL Workshop on Language and Robot Learning, 2023 (Oral)
CoRL Towards Generalist Robotics Workshop, 2023 (Oral)
NeurIPS Agent Learning in Open-Endedness Workshop, 2023 (Oral)
NeurIPS Workshop on Foundation Models for Decision Making, 2023
Yecheng Jason Ma, William Liang§, Vaidehi Som§, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman
International Conference on Machine Learning (ICML), 2023
RSS Workshop on Utilizing Language for Robot Learning, 2023 (Oral)
CoRL Workshop on Language and Robot Learning, 2023
(paper)
Ryan Solgi, Zichang He, William Liang, Zheng Zhang, Hugo A. Loaiciga
Applied Soft Computing, 2023.
(paper)
(* denotes equal contribution, † denotes equal advising)