Personal information
  • Gender:Male
  • Education Level:Graduate student graduate
  • Alma Mater:浙江大学
  • Degree:Doctorate
  • Status:在岗
  • School/Department:儿童发展与教育学院
  • Date of Employment:2024-06-12
  • Business Address:浙江师范大学萧山校区
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Personal Profile

My primary research achievements to date have been associated with model compression and acceleration, through quantization and pruning techniques. I am now interested in Riemannian optimization through the lens of geometry theory. I believe that Riemannian geometry can provide effective tools for solving many problems in machine learning and provide theoretical explanations for the black box of deep learning.

Research Focus
  • .Machine learning, Model compression, Optimization
Work experience

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Educational background
  • 中国计量大学 , 机电工程  , Baccalaureate , Undergraduate graduation 2012-9-1 ∼ 2016-6-30
  • 浙江大学 , 控制工程  , Master's degree , Graduate graduate students 2017-9-1 ∼ 2020-3-30
  • 浙江大学 , 控制科学与工程  , Doctorate , Graduate student graduate 2020-9-1 ∼ 2024-3-30
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Research Group

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Doctorate

Jun Chen
MOBILE Version