Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Paper 'Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent' was accepted as a spotlight paper at ICLR 2023
- Paper 'Sigma Delta Quantization for Images' was published at Communications on Pure and Applied Mathematics, Jan 2023
- Paper 'Manifold denoising by nonlinear robust principal component analysis' was accepted at NeurIPS 2019, Sep 2019
Research Experience
- Machine Learning Software Engineer Intern at Meta, May 2022 - Aug 2022, worked on discovering effective Machine Learning design principles to optimize Ads Ranking models
- Implicit Regularization in Heavy-ball Momentum SGD at MSU, May 2022 - Sep 2022, derived an implicit regularization analysis for Stochastic Gradient Descent with Heavy-ball momentum
- Sigma Delta Quantization for Images at MSU, Sep 2018 - May 2020, proposed and analyzed an adaptive quantization method for direct digital image acquisition
Education
- Ph.D. in Computational Mathematics, Science, and Engineering, Michigan State University, graduated in Summer 2023, supervised by Dr. Rongrong Wang
- Bachelor's Degree in Mathematics and Applied Mathematics, Fudan University
Background
- Research Interests: Machine learning, Compressed sensing, Statistical analysis, and Optimization
- Professional Field: Computational Mathematics, Science, and Engineering
Miscellany
- Started a new journey at Meta as a Research Scientist in Ads Core ML team, Nov 27th 2023
- Joined AADS team at Eli Lilly and Company, June 26th 2023