Shenyuan Gao
Scholar

Shenyuan Gao

Google Scholar ID: hZtOnecAAAAJ
Hong Kong University of Science and Technology
World ModelsRoboticsEmbodied AIGenerative AI
Citations & Impact
All-time
Citations
1,144
 
H-index
7
 
i10-index
7
 
Publications
12
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • Involved in multiple research projects including Universal Latent Actions for Embodied Decision Making, Generalizable World Models for Autonomous Driving, and Million-Scale Datasets for Scalable Learning.
Research Experience
  • Research Scientist Intern at GEAR, NVIDIA Research; previously worked at OpenDriveLab, led by Hongyang Li.
Education
  • Ph.D. student at HKUST since 22fall.
Background
  • Research interests include Embodied AI (Generalist Robots, Learning from Web Data) and Generative AI (Video World Models, Open-Ended Learning). Currently scaling foundation models for general-purpose robots as a research scientist intern at NVIDIA Research's GEAR team, working with Joel Jang and Jim Fan. Previously, was part of OpenDriveLab led by Hongyang Li.
Miscellany
  • Will be on the job market for Mid 2026. Feel free to contact.