Scholar
Yijun Dong
Google Scholar ID: l3bmbCkAAAAJ
New York University
Citations & Impact
Citations
138
H-index
6
i10-index
3
Publications
14
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, such as 'Does Weak-to-strong Generalization Happen under Spurious Correlations?' (ICML 2025), 'Robust Blockwise Random Pivoting: Fast and Accurate Adaptive Interpolative Decomposition' (SIAM Journal on Matrix Analysis and Applications 2025), etc.
Research Experience
- Courant Instructor/Assistant Professor (postdoc) at the Courant Institute of Mathematical Sciences, New York University; Research focuses on randomized algorithms, high-dimensional probability, and statistical learning theory.
Education
- Ph.D. in Computational Science, Engineering, and Mathematics, 2018 - 2023, Oden Institute for Computational Engineering and Sciences, UT Austin, Advisors: Per-Gunnar Martinsson and Rachel Ward; B.S. in Applied Mathematics & Engineering Science, 2014 - 2018, Emory University, Atlanta, Georgia, US
Background
- Research interests: randomized algorithms, high-dimensional probability, and statistical learning theory. Focuses on computation- and data-efficient algorithms for high-dimensional problems in machine learning and scientific computing. Designs fast and reliable randomized algorithms for dimension reduction, data selection, and model pruning.
Miscellany
- Will be on the 2025-2026 job market, looking for full-time academia and industry positions globally.
