willjhliang@gmail.com (github, linkedin, gscholar, twitter, notes)
I am a PhD student at the University of California, Berkeley, advised by Pieter Abbeel and Jitendra Malik, and supported by the NSF Graduate Research Fellowship. My research interests include robot learning, generative models, and multimodal representations for embodied agents that learn from human priors and unstructured, self-directed experience.
Previously, I studied at the University of Pennsylvania, working with Jason Ma, Dinesh Jayaraman, Osbert Bastani, Kostas Daniilidis, and Jianbo Shi.
In the evenings, you might also find me playing guitar or painting.
Selected representative publications are listed below. For the complete set, please see Google Scholar.
Articulate Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model
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
The following are some other projects I particularly enjoyed. More can be found on Github.