基本信息
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职业迁徙
个人简介
I received my Ph.D. degree in Theoretical Physics from the Institute of Theoretical Physics, Chinese Academy of Science, Beijing, China, in 2015. I then joined the Paulson School of Engineering and Applied Sciences at Harvard University, first as a Postdoctoral Fellow (Feb. 2015—Jan. 2018) and as a Research Associate (Feb. 2018—Aug. 2019). I won the Best Student Paper Award at the IEEE GlobalSIP Conference in 2014.
My research interests include machine learning theory; probabilistic graphical models; high-dimensional signal and information processing; and physics-inspired optimization algorithms.
Specifically, I’m focusing on the following problems.
1. Theoretical aspects of machine learning with a special interest in the interdisciplinary field between high-dimensional statistics and statistical physics;
2. Online learning and continuous learning;
3. Graph neural networks and probabilistic graphical models.
Publications:
《A Solvable High-Dimensional Model of GAN》
《The scaling limit of high-dimensional online independent component analysis》
My research interests include machine learning theory; probabilistic graphical models; high-dimensional signal and information processing; and physics-inspired optimization algorithms.
Specifically, I’m focusing on the following problems.
1. Theoretical aspects of machine learning with a special interest in the interdisciplinary field between high-dimensional statistics and statistical physics;
2. Online learning and continuous learning;
3. Graph neural networks and probabilistic graphical models.
Publications:
《A Solvable High-Dimensional Model of GAN》
《The scaling limit of high-dimensional online independent component analysis》
研究兴趣
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Pattern Recognit. (2023): 109737-109737
Electronicsno. 1634 (2023): 1634-1634
CoRR (2023)
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arXiv (Cornell University) (2023)
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