Ailing Zeng
Scholar

Ailing Zeng

Google Scholar ID: Tn7fzS8AAAAJ
Anuttacon
Deep LearningComputer VisionVirtual HumansVideo Generation
Citations & Impact
All-time
Citations
8,976
 
H-index
34
 
i10-index
47
 
Publications
20
 
Co-authors
15
list available
Resume (English only)
Academic Achievements
  • Published multiple papers, including 5 papers accepted to ICCV/CVPR/AAAI/ICML 2025 and 4 papers accepted to TPAMI. Also served as an Area Chair for CVPR 2025 and published papers in top conferences and journals.
Research Experience
  • Spent three years at Tencent Hunyuan & AI Lab and International Digital Economy Academy (IDEA), leading human-centric perception and generation research team.
Education
  • Obtained a Ph.D. from the Department of Computer Science and Engineering, The Chinese University of Hong Kong, supervised by Prof. Qiang Xu. Was a visiting scholar at the Robotics Institute, Carnegie Mellon University.
Background
  • Currently a technical staff member at Anuttacon, exploring the boundaries of human-like multimodal understanding and generation in a scalable way. Research interests include building multi-modal, human-like intelligent agents, especially by training Large Motion Models to capture, understand, interact with, and generate the motion of humans, animals, and the world.
Miscellany
  • Hiring full-time researchers, engineers, and interns based in Mountain View or Singapore.