Scholar
Yilun Kuang
Google Scholar ID: XvIasgEAAAAJ
PhD Student in Data Science, New York University
Citations & Impact
Citations
102
H-index
4
i10-index
3
Publications
7
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Published research on Radial-VCReg: More Informative Representation Learning through Radial Gaussianization and Customizing the Inductive Biases of Softmax Attention using Structured Matrices.
Research Experience
- A third-year PhD student in Data Science at NYU CDS & NYU CILVR Lab, working with Prof. Yann LeCun.
Education
- Prior to starting the PhD, graduated magna cum laude with high honors from NYU with a BA in Mathematics. Worked with SueYeon Chung and Eero Simoncelli on manifold geometry/efficient coding inspired self-supervised learning at the Center for Computational Neuroscience of Flatiron Institute, Simons Foundation.
Background
- Research interests include Self-Supervised Learning, Control and Planning, NeuroAI & AI for Science, Vision-Language Models, and Efficient Architectures. Currently a PhD student in Data Science at NYU CDS & NYU CILVR Lab.
