Zongliang Hu's Photo

Zongliang Hu, PhD
School of Mathematics and Statistics
Shenzhen University, Nanshan District, Shenzhen
Office: Room 313, Science and Technology Building
Phone: (075) 2653-2674
Email: zlhu(at)szu.edu.cn

2025招生计划

    课题一：临床实验设计
    1.剂量探索：在新药研发的过程中，一期临床实验的宗旨在于探索药物毒性和剂量，从而选择出针对人类
    使用药物的最佳剂量。本课题从贝叶斯最优区间设计入手，探索最佳剂量的确定方案；
    2.篮子实验设计：篮子研究是将相同靶基因的不同肿瘤放入一个篮子里，应用潜在作用于该靶点的实验药物，
    评估其疗效和安全性，其目的就是研究可以治疗多种疾病或者疾病亚型的靶向疗法，属于精准医学领域。

    课题二：异常检验
    针对函数型数据，开发一种新的在线异常检验方法。

    课题三：基于深度生成模型的金融安全与风险管理
    探索利用和创新AIGC中常见的生成算法，例如，VAE、GAN、Normalizing Flow 和 Diffusion Model，针对时间序列数据，
    开发新模型，计算风险指标，例如，VaR (Value at Risk)， ES (Expected Shortfall) 和 CVaR (Conditional Value at Risk)，
    对时序数据的尾部风险进行评估，也可以对具有外部图结构的多元时间序列构成的系统进行风险评估。
    本课题也可以与异常检验相互交叉。

Professional Experience

  • Associate Professor, School of Mathematics and Statistics, Shenzhen University (2023 - Present)
  • Assistant Professor, School of Mathematics and Statistics, Shenzhen University (2022 - 2023)

Academic Qualifications

  • PhD in Statistics (2018), Department of Mathematics, Hong Kong Baptist University
  • MSc in Statistics (2015), School of Finance and Statistics, East China Normal University
  • BSc in Mathematics (2012), School of Mathematics, Qufu Normal University

Research Interests

  • Statistical inference for high-dimensional data
  • Meta-analysis and multi-source data integration
  • Statistical learning and its application in online anomaly detection

Grants (Principal Investigator)

  • Natural Science Foundation of Gangdong Province (No.2023A1515010027), 2023-2025.
  • National Natural Science Foundation of China (No.12001378), 2021-2023.
  • Guangdong Basic and Applied Basic Research Foundation (No.2019A1515110449), 2019-2022.
  • Grant for the Construction of High-Level University, 2020-2023.
  • Initiation Grant for Youth Scholars of Shenzhen University, 2019-2020.

Publications

    Zongliang Hu, Qianyu Zhou and Guanfu Liu (2025)
    Multivariate meta-analysis with a robustified diagonal likelihood function
    Journal of Applied Statistics, in press.

    Yan Zhou, Ruoxi Mei, Yichuan Zhao, Zongliang Hu* and Mingtao Zhao* (2024)
    Orthogonality-based bias-corrected empirical likelihood inference for partial linear varying coefficient EV models with longitudinal data
    Journal of Computational and Applied Mathematics, 443: 115751.

    Zongliang Hu, Yafang Wu and Yan Zhou (2024)
    Meta-analyzing RNA-seq studies with an adaptive weighting-and-truncation p-value combination test
    Applied Mathematical Modelling, 136: 115611.

    Zongliang Hu, Tiejun Tong and Marc G. Genton (2024)
    A pairwise Hotelling method for testing high-dimensional mean vectors
    Statistica Sinica, 34: 229-256.

    Zongliang Hu, Yiping Yang, Gaorong Li and Tiejun Tong (2023)
    Regularized t distribution: definition, properties and applications
    Scandinavian Journal of Statistics, 50: 1884-1900.

    Guanfu Liu and Zongliang Hu* (2023)
    Testing quantitative trait locus effects in genetic backcross studies with double recombination occurring
    Journal of Applied Statistics, 50: 927-944.

    Rongji Mu, Zongliang Hu*, Guoying Xu and Haitao Pan* (2021)
    An adaptive gBOIN design with shrinkage boundaries for phase I dose-finding trials
    BMC Medical Research Methodology, 21: 278.

    Zongliang Hu, Yan Zhou and Tiejun Tong (2021)
    Meta-analyzing multiple omics data with robust variable selection
    Frontiers in Genetics, 12: 656826.

    Zongliang Hu, Zhishui Hu, Kai Dong, Tiejun Tong and Yuedong Wang (2021)
    A shrinkage approach to joint estimation of multiple covariance matrices
    Metrika, 84: 339-374.

    Jiajin Wei, Enxuan Lin, Jiandong Shi, Ke Yang, Zongliang Hu, Xian-Tao Zeng and Tiejun Tong (2021)
    Meta-analysis with zero-event studies: a comparative study with application to COVID-19 data
    Military Medical Research, 8: 41.

    Dongdong Xiang, Amitava Mukherjee, Zongliang Hu, Wendong Li (2021)
    Online anomaly detection of profiles with varying coefficients via functional mixed effects modelling
    Applied Mathematical Modelling, 9: 467-484.

    Zongliang Hu, Tiejun Tong and Marc G. Genton (2019)
    Diagonal likelihood ratio test for equality of mean vectors in high-dimensional data
    Biometrics, 75: 256-267.

    Zongliang Hu, Kai Dong, Wenlin Dai and Tiejun Tong (2017)
    A comparison of methods for estimating the determinant of high-dimensional covariance matrix
    International Journal of Biostatistics, 13: 20170013.
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