Puqian Wang
Scholar

Puqian Wang

Google Scholar ID: X1bjsxgAAAAJ
University of Wisconsin, Madison
convex optimizationmachine learning theory
Citations & Impact
All-time
Citations
81
 
H-index
5
 
i10-index
3
 
Publications
8
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published multiple papers in top conferences such as NeurIPS, COLT, ICML, and journals like SIAM Journal on Optimization. For example, 'Robustly Learning Monotone Single-Index Models' (NeurIPS 2025), 'Robustly Learning Monotone Generalized Linear Models via Data Augmentation' (COLT 2025), etc.
Research Experience
  • Research Assistant Intern at Microsoft Research, Cambridge, UK (Summer 2025); Teaching Assistant at UW Madison for CS577 Introduction to Algorithms (Fall 2021) and CS726 Nonlinear Optimization I (Fall 2022).
Education
  • PhD: University of Wisconsin, Madison, Computer Science, advised by Prof. Jelena Diakonikolas; B.S.: Shandong University, Mathematics.
Background
  • Research interests primarily revolve around the intersection of optimization and computational learning theory. Currently a 4th-year CS PhD student at the University of Wisconsin - Madison.
Miscellany
  • Personal interests not mentioned
Co-authors
0 total
Co-authors: 0 (list not available)