Zelun Luo
Scholar

Zelun Luo

Google Scholar ID: MVUbYCkAAAAJ
OpenAI
Computer VisionDeep LearningHealthcare
Citations & Impact
All-time
Citations
2,079
 
H-index
17
 
i10-index
17
 
Publications
20
 
Co-authors
0
 
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Reviewer for top conferences such as CVPR, AAAI, NeurIPS, etc.; received awards including AWS Cloud Credits Grant (2020), NeurIPS ML4H Travel Grant (2018).
Research Experience
  • Worked at the Stanford Vision and Learning Lab, advised by Prof. Fei-Fei Li. Internships at NVIDIA, Facebook, Google, Amazon, and Yahoo.
Education
  • PhD: Stanford University, Computer Science; Advisor: Prof. Fei-Fei Li; MSc: Stanford University, Computer Science; BSc: University of Illinois Urbana-Champaign, Major in Computer Engineering, Minor in Mathematics.
Background
  • PhD Candidate in the Computer Science department at Stanford University. Research interests include using computer vision and machine learning for healthcare applications. Member of the Partnership in AI-Assisted Care (PAC).
Miscellany
  • Served as a teaching assistant for multiple courses, including CS 131: Computer Vision: Foundations and Applications, CS 231N: Convolutional Neural Networks for Visual Recognition, among others.
Co-authors
0 total
Co-authors: 0 (list not available)