Scholar
Shenyang Deng
Google Scholar ID: TvUZLD8AAAAJ
PhD Student， Dartmouth College
Citations & Impact
Citations
3
H-index
1
i10-index
0
Publications
5
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- Publications can be found on Google Scholar.
Research Experience
- As a PhD student at Dartmouth College, currently engaged in research work related to learning theory and optimization.
Education
- Ph.D in Computer Science, Department of Computer Science, Dartmouth College, 2024.9-present, advised by Prof. Yaoqing Yang; B.S. in Mathematics and Applied Mathematics, Department of Mathematics, South China University of Technology, 2020.9-2024.6.
Background
- Currently a second-year PhD student at Dartmouth College. Research interests include both classical learning theory problems (such as Rademacher Complexity, Covering Number, PAC-Bayesian, etc.) and recently emerging theory problems (primarily focusing on the statistical and optimization properties of large-scale deep neural networks). Current research focuses on investigating non-vacuous and theoretically interpretable metrics for data/model statistical complexity in neural networks training, and analyzing the loss landscapes of large-scale neural networks (like CNNs, Transformers, etc.) and the behavior of optimization algorithms under specific loss landscapes.
Miscellany
- A food enthusiast who loves both eating and cooking. Enjoys preparing a hearty dinner after a busy work schedule and then rewarding himself with a game of StarCraft II.
