David Fan
Scholar

David Fan

Google Scholar ID: VAiqiv4AAAAJ
Meta FAIR Labs
AIComputer VisionDeep LearningRepresentation Learning
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
517
 
H-index
8
 
i10-index
8
 
Publications
16
 
Co-authors
24
list available
Contact
Emaildfan@davidfan.ioCVOpen ↗LinkedInOpen ↗
Publications
7 items
Pushing the Limits of On-Device Streaming ASR: A Compact, High-Accuracy English Model for Low-Latency Inference
2026
Cited
0
Beyond Language Modeling: An Exploration of Multimodal Pretraining
2026
Cited
0
A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures
2026
Cited
0
World Models Can Leverage Human Videos for Dexterous Manipulation
2025
Cited
0
Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-training
2025
Cited
0
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
2025
Cited
0
Scaling Language-Free Visual Representation Learning
2025
Cited
0
Resume (English only)
Education
  • Graduated from Princeton in August 2019.
Background
  • I do foundational research that advances the state-of-the-art in AI and generates measurable impact.
Miscellany
  • Moved to NYC in January 2024.
Co-authors
24 total
Xinyu Li
Xinyu Li
Principal Scientist @ Amazon AGI
Jue Wang
Jue Wang
Amazon AGI, ANU
Jiachen Zhu
Jiachen Zhu
PhD Student, New York University
Saining Xie
Saining Xie
Courant Institute, New York University
Shengbang Tong
Shengbang Tong
NYU Courant
Zhuang Liu
Zhuang Liu
Assistant Professor, Princeton University
Koustuv Sinha
Koustuv Sinha
Research Scientist, Meta AI (Fundamental AI Research), McGill University (MSc, PhD)
Xinlei Chen
Xinlei Chen
xAI