Jun Zhu

Ph.D.candidate, Institute of Statistics and Big Data, Renmin University of China

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Institute of Statistics and Big Data
Renmin University of China
Beijing, China

Welcome to my homepage! I am Jun Zhu, a PhD student in Statistics at Renmin University of China, where I am fortunate to be advised by Dr. Cheng Meng. Previously, I received the B.S. degree in statistics from Southeast University, Nanjing, China, in 2022. My research broadly focuses on statistical machine learning, with current interests in optimal transport, sufficient dimension reduction and data-driven decision-making.

My recent work explores topics such as:

  • optimal transport and its applications to classification, clustering;
  • sufficient dimension reduction for complex and structured data;
  • time-series representation and feature extraction;
  • graph representation;

news

Nov, 2025 Awarded the BYD Scholarship at Renmin University of China for 2024-2025
Sep, 2023 I won the Huawei Chaspark Incentive Award as a member of Dr. Cheng Meng’s team.
Jun, 2022 Recognized as a Finalist for the 2022 Most Influential Undergraduate & Student of the Year at Southeast University, the university’s highest honor for students with significant academic and social impact.
Jun, 2022 Honored as the Outstanding Graduate of Jiangsu Province

selected publications

  1. Submitted
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    Stacked optimal transport for echocardiogram video clustering
    Jun Zhu*, Xiaxue Ouyang*, Cheng Meng, and Jingyi Zhang
    2026
  2. Submitted
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    HiMAP: Hilbert Mass-Aligned Parameterization for Multivariate Barycenters and Fre\backslash’chet Regression
    Tao Wang, Qiannan Huang, Jun Zhu, and Cheng Meng
    arXiv preprint arXiv:2603.03674, 2026
    PDF
  3. TNNLS
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    Efficient Variants of Wasserstein Distance in Hyperbolic Space via Space-Filling Curve Projection
    Tao Li, Cheng Meng, Hongteng Xu, and Jun Zhu (Authors are listed in alphabetical order.)
    IEEE Transactions on Neural Networks and Learning Systems, 2025
    DOI Bib HTML