Fangzhou Mu
Scholar

Fangzhou Mu

Google Scholar ID: OOymFJsAAAAJ
Meta Superintelligence Labs (MSL)
Generative AIComputer VisionMachine Learning
Citations & Impact
All-time
Citations
1,530
 
H-index
12
 
i10-index
12
 
Publications
20
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • - Serving as an Area Chair for CVPR 2026
  • - One paper accepted to ICCV 2025
  • - Multiple papers published in top-tier conferences like CVPR, ICCV
Research Experience
  • - AI Research Scientist at Meta Superintelligence Labs, building world-class video generation and editing models
  • - Senior Deep Learning Algorithms Engineer at NVIDIA, working on inference optimization of multimodal LLMs
Education
  • - PhD in Computer Sciences from the University of Wisconsin-Madison, advised by Prof. Yin Li
  • - Master’s degrees in Computer Sciences and Pharmaceutical Sciences from UW-Madison
  • - Bachelor’s degree in Biology from Zhejiang University
Background
  • Research Interests: Multimodal Intelligence, Generative AI. Professional Field: Computer Sciences.
Miscellany
  • Contact: fmu at wisc.edu | LinkedIn | Scholar | GitHub | CV