willjhliang@gmail.com (github, linkedin, gscholar, twitter, notes)
I am an undergraduate student at the University of Pennsylvania's GRASP Laboratory, where I have been fortunate to work with Jason Ma, Dinesh Jayaraman, Osbert Bastani, Kostas Daniilidis, and Jianbo Shi. I am also a research intern at NVIDIA, working with Jim Fan and Yuke Zhu.
My research interests include robot learning, multimodal representations, generative models, and reinforcement learning for versatile and robust embodied agents.
In the evenings, you might also find me playing guitar or painting.
I am looking for Fall 2025 PhD opportunities!
Long Le, Jason Xie, William Liang, Hung-Ju Wang, Yue Yang, Yecheng Jason Ma, Kyle Vedder, Arjun Krishna, Dinesh Jayaraman, Eric Eaton
International Conference on Learning Representations (ICLR), 2025
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
arXiv, 2023 (extended ICML version)
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)