Linqi Zhou
Scholar

Linqi Zhou

Google Scholar ID: sJu-75IAAAAJ
Luma AI, Stanford University
Generative ModelingRepresentation Learning
Citations & Impact
All-time
Citations
1,814
 
H-index
14
 
i10-index
14
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published multiple papers in conferences such as ICML 2025, RSS 2024, CVPR 2024, covering areas like generative models, consistency distillation for visuomotor policies, text-to-3D generation, etc.
Research Experience
  • Co-founder of Apparate Labs (acquired by Luma AI), focusing on real-time visual synthesis of human-centric videos.
Education
  • Ph.D.: Stanford University, advisor: Prof. Stefano Ermon; B.S.: University of California, Los Angeles, majors: Computer Science and Applied Mathematics, advisors: Prof. Song-Chun Zhu and Prof. Ying-Nian Wu.
Background
  • Research interests: machine learning methods for generative modeling. Currently a Research Scientist at Luma AI and a Ph.D. student (on leave) at Stanford University, advised by Prof. Stefano Ermon.
Co-authors
0 total
Co-authors: 0 (list not available)