He Lyu
Scholar

He Lyu

Google Scholar ID: Q2SGqFEAAAAJ
Meta
Compress sensingOptimization
Citations & Impact
All-time
Citations
71
 
H-index
5
 
i10-index
2
 
Publications
9
 
Co-authors
8
list available
Publications
9 items
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