Shuang Li

Senior Research Scientist
Google DeepMind
Email: shuang.li.work59 [at] gmail (dot) com

Google Scholar / Twitter

Research Topics:
Generative Modeling
Robot Learning

I am a Senior Research Scientist at Google DeepMind. Previously, I was a founding member of Voyage AI, a language-embedding startup acquired by MongoDB. I did my postdoc at Stanford with Shuran Song and Dorsa Sadigh, and completed my Ph.D. at MIT advised by Antonio Torralba. My research focus on generative modeling and robot learning.

Selected Honors

CIFAR AI Chair, 2024 [Link]
EECS Rising Stars, 2022 [Link]
ICML Outstanding Reviewer, 2022 [Link]
Qualcomm Fellowship Finalist, 2022 [Link]
Facebook Research Fellowship, 2021 [Link]
Adobe Research Fellowship, 2019 [Link]
MIT Seneff-Zue CS Fellowship, 2018
Outstanding Students Award, CUHK, 2018

Recent Talks

[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

Datasets and Simulators

VirtualEnv platform for Embodied AI Research
VirtualHome multi-agent embodied environment for household activities
V-HICO dataset for video-based human-object interaction detection
CUHK-SYSU dataset for person re-identification
CUHK-PEDES dataset for natural language based person re-identification

Selected Publications [Full List] ( show by date / show by topic)
Research Topics: Generative Modeling / Robot Learning

Workshops / Tutorials Organizer

Visual Generative Modeling: What’s After Diffusion? at CVPR 2025
Continual Robot Learning from Humans at RSS 2025
Knowledge in Generative Models at ECCV 2024
Diffusion Models Course at SIGGRAPH 2023
Social Intelligence in Humans and Robots at ICRA 2021, RSS 2022, RSS 2023
MIT Visual Computing Workshop 2021
Wider Face and Person Challenge at ICCV 2019