Scholar
Fangzhou Mu
Google Scholar ID: OOymFJsAAAAJ
Meta Superintelligence Labs (MSL)
Generative AI
Computer Vision
Machine Learning
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
1,530
H-index
12
i10-index
12
Publications
20
Co-authors
9
list available
Contact
Email
fmu2@wisc.edu
CV
Open ↗
GitHub
Open ↗
LinkedIn
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Publications
2 items
Recovering Parametric Scenes from Very Few Time-of-Flight Pixels
2025
Cited
0
TimeLoc: A Unified End-to-End Framework for Precise Timestamp Localization in Long Videos
2025
Cited
0
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
Co-authors
9 total
Yin Li
Associate Professor, University of Wisconsin-Madison
Sicheng Mo
University of California, Los Angeles
Yong Jae Lee
Professor of Computer Sciences, UW-Madison
Yuheng Li
Adobe Research
Andreas Velten
University of Wisconsin at Madison
Jian Wang
Snap Inc.
Bolei Zhou
Associate Professor at UCLA
Co-author 8
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