Hanmin Li

Hanmin Li

Ph.D student

KAUST

Biography

I am a CS Ph.D student at King Abdullah University of Science and Technology (KAUST), advised by Prof. Peter Richtárik. My research primarily focuses on optimization, federated learning and machine learning.

Interests
  • Optimization
  • Federated Learning
  • Machine Learning
Education

  • MEng in Computer Science, 2022

    King Abdullah University of Science and Technology

  • BEng in Computer Science and Technology, 2021

    University of Science and Technology of China

Recent Posts

New paper out
The paper ‘MARINA Meets Matrix Stepsizes: Variance Reduced Distributed Non-convex Optimization’ is now on arXiv
Hanmin Li
Oct 17, 2023 1 min read
A new journey
I have just started my Ph.D. @ KAUST
Hanmin Li
Feb 1, 2023 1 min read

Recent Publications

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Hanmin Li, Avetik Karagulyan, Peter Richtárik (2023). MARINA Meets Matrix Stepsizes: Variance Reduced Distributed Non-convex Optimization.

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Hanmin Li, Avetik Karagulyan, Peter Richtárik (2023). Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization.

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Haoyang Li, Hanmin Li, Juexiao Zhou, Xin Gao (2022). SD2: spatially resolved transcriptomics deconvolution through integration of dropout and spatial information. Bioinformatics.

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