Shuang Li

Postdoctoral Researcher
Stanford University
Departments of EE and CS
Email: lishuang [at] stanford (dot) edu

Google Scholar / Twitter

Research Topics:
Generative Modeling
Robot Learning

I am a postdoc at Stanford with Shuran Song and Dorsa Sadigh working on Generative Modeling and Robot Learning. I earned my Ph.D. degree from MIT, under the mentorship of Antonio Torralba on Generative Modeling. I work closely with Igor Mordatch.

[2025/5] Keynote talk at CVPR Workshop Foundation Models Meet Embodied Agents 2025: Vision and Language Models for Decision-Making
[2025/3] Invited talk at AAAI 2025: How Vision and Language Models Are Changing Decision-Making
[2023/12] Invited Talk at NeurIPS 2023 Workshop on Diffusion Models
[2023/8] Invited Talk at Google
[2023/8] Diffusion Models Course at SIGGRAPH
[2023/5] Invited Talk at UC Berkeley
[2023/4] Invited Talk at Nanyang Technological University
[2023/2] Invited Talk at Columbia
[2023/2] Invited Talk at UIUC
[2023/2] Invited Talk at UT Austin
[2022/12] Invited Talk at UC San Diego
[2022/11] Invited Talk at Cornell Tech
[2022/11] Invited Talk at UC Berkeley
[2022/11] Invited Talk at Stanford
[2022/11] Invited Talk at Northeastern

I have been awarded CIFAR AI Chair Award 2024.
I have been selected as one of the EECS Rising Stars 2022.
I have been selected as an Outstanding Reviewer for ICML 2022.
I have been selected as a finalist for 2022 Qualcomm Fellowship. Thanks, Qualcomm!
I have been awarded 2021 Facebook Research Fellowship. Thanks, Facebook!
I have been awarded 2019 Adobe Research Fellowship. Thanks, Adobe!
A summary of our recent works on Compositional Generalization.
A summary of our recent works on Energy-based Models.

MIT Computer Science and Artificial Intelligence Lab
32 Vassar Street, 32-D394
Cambridge, MA 02139