Gavin (Jialun) Zhang

  • Email: jialun2@illinois.edu
  • Office: ECE Building, 306 N Wright St, Urbana, IL 61801
  • Phone: (909) 575-7644
  • Google Scholar

About Me

Hello! My name is Gavin (Jialun) Zhang. I am a second-year PhD student in the ECE department at the University of Illinois at Urbana-Champaign. My advisor is Richard Y. Zhang. I am also a member of the coordinated science laboratory at UIUC.

I’m mainly interested using optimization and machine learning to solve large-scale, data-driven problems with provable guarantees. Previously I also have worked in other areas of applied and computational mathematics, such as numerical PDEs and mathematical biology.

I received a bachelor’s degree in mathematics from Harvey Mudd College, where I worked with professors Chiu-Yen Kao and Andrew Bernoff on numerical PDEs and mathematical biology. I also received a master’s degree in computational mathematics from Stanford, where I worked with Mert Pilanci.

Publications and Preprints

  1. Preconditioned Gradient Descent for Overparameterized Nonconvex Burer-Monteiro Factorization with Global Optimality Certification Gavin Zhang, Salar Fattahi, Richard Y. Zhang.
  2. Preconditioned Gradient Descent for Over-parameterized Nonconvex Matrix Factorization.
    Gavin Zhang, Salar Fattahi, Richard Y. Zhang.
    Advances in Neural Information Processing Systems (NeurIPS 2021)
  3. How Many Samples is a Good Initial Point Worth in Low-rank Matrix Recovery?
    Gavin Zhang, Richard Y. Zhang.
    Spotlight Presentation. Advances in Neural Information Processing Systems (NeurIPS 2020)
  4. Weak Solution of a Doubly Degenerate Parabolic Equation.
    Di Kang, Tharathep Sangsawang, Gavin Zhang
    (Submitted)
  5. Agent-based and Continuous Models of Locust Hopper Bands.
    A. J. Bernoff, C. M. Topaz, M. R. D’Orsogna, L. Edelstein-Keshet, R. Jones, J. Zhang, S. J. DeVore and S. Schein (Submitted)