Feng (Jeff) Liang
Scholar

Feng (Jeff) Liang

Google Scholar ID: ecTFCUMAAAAJ
Meta AI, University of Texas at Austin
Generative AIVision-LanguageEfficient Deep LearningPersonalized AI
Citations & Impact
All-time
Citations
2,357
 
H-index
15
 
i10-index
17
 
Publications
20
 
Co-authors
0
 
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Papers published: CVPR 2025 (Movie Weaver), ICLR 2025 (StreamV2V), CVPR 2024 (FlowVid and Fairy), CVPR 2023 (Open-Vocabulary Segmentation), etc.; Awards: 2024 MLCommons ML and Systems Rising Stars, Best Poster Award at AAAI Edge Intelligence Workshop 2024
Research Experience
  • Research Scientist at Meta AI; Interned at Meta Reality Labs, working with Dr. Bichen Wu; Received UT Austin Engineering Fellowship
Education
  • PhD: University of Texas at Austin, Advisor: Prof. Diana Marculescu; Master's: Tsinghua University; Bachelor's: Huazhong University of Science and Technology
Background
  • Research interests include efficient AI, personalized AI, and AI for creativity. Aims to build efficient, personalized, and creative AI for everyone.
Miscellany
  • Personal interests not mentioned
Co-authors
0 total
Co-authors: 0 (list not available)