Qingxuan Jiang
Scholar

Qingxuan Jiang

Google Scholar ID: D7TlJL4AAAAJ
Graduate Student, MIT
Machine LearningOptimization
Citations & Impact
All-time
Citations
252
 
H-index
5
 
i10-index
3
 
Publications
10
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Conference Publications:
  • - "Adversarial Example Decomposition", ICML Workshop 2019
  • - "Differentiating through the Fréchet Mean", ICML 2020 (equal contribution)
  • - "Neural Manifold Ordinary Differential Equations", NeurIPS 2020
  • Journal Publication:
  • - "Sobolev Orthogonal Polynomials on the Sierpinski Gasket", Journal of Fourier Analysis and Applications, 2021
  • Honors and Awards:
  • - Tanner Dean’s Scholar, Cornell University
  • - Rank 122/4638 in 2017 William Lowell Putnam Mathematical Competition
  • - 4th Place, Cornell Mathematical Contest in Modeling 2018
  • - Honorable Mention, International Mathematical Contest in Modeling 2019
Research Experience
  • Local Elasticity and Generalization of Neural Networks, advised by Prof. Weijie Su
  • Cornell REU 2020: Analysis and Implementation of Spectral Method, advised by Prof. Alex Townsend
  • Cornell SPUR 2019: Orthogonal Polynomials on the Sierpinski Gasket, advised by Profs. Kasso Okoudjou and Robert Strichartz
  • Research project: First-order Methods on Large-scale Convex Optimization Problems, advised by Prof. James Renegar
  • Undergraduate thesis: Proximal Bundle Methods and Nonlinear Acceleration, advised by Prof. Adrian Lewis
Co-authors
0 total
Co-authors: 0 (list not available)