Yufa Zhou
Scholar

Yufa Zhou

Google Scholar ID: UeChpkIAAAAJ
Duke University
Artificial IntelligenceDeep LearningLarge Language ModelsMachine Learning Theory
Citations & Impact
All-time
Citations
350
 
H-index
11
 
i10-index
11
 
Publications
14
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • 1. One paper accepted by NeurIPS 2025 and one paper accepted by NeurIPS 2025 Workshop Oral;
  • 2. One paper accepted by ICCV 2025;
  • 3. One paper accepted by AISTATS 2025 and one paper accepted by ICLR 2025;
  • 4. Two papers accepted by AAAI 2025;
  • 5. Four papers accepted by NeurIPS 2024 Workshop.
Research Experience
  • 1. As a Ph.D. student at Duke University, focusing on understanding the workings of advanced AI models and leveraging this understanding to improve their accuracy, efficiency, and robustness.
Education
  • 1. Ph.D. in Computer Science at Duke University, advised by Prof. Anru Zhang, Aug. 2025 – Present;
  • 2. M.S.E. in Scientific Computing at University of Pennsylvania, Aug. 2023 - May. 2025;
  • 3. B.E. in Engineering Mechanics at Wuhan University, Sep. 2019 - Jul. 2023.
Background
  • Research interests include the foundational aspects of advanced AI models, particularly how and why large language models and diffusion models work. Aims to make these models more accurate, efficient, and robust. Interested in discovering the first law of intelligence. Broadly interested in AI across theoretical, empirical, and philosophical dimensions.
Miscellany
  • Open to discussions and collaborations. Feel free to reach out via email at yufa.zhou@duke.edu.
Co-authors
0 total
Co-authors: 0 (list not available)