孙高明，男，博士（后），讲师。Email：gmsun@henu.edu.cn

办公室：河南大学郑州校区九章学堂南楼C座301室

教育背景：

2019.09—2023.12，博士，华东师范大学，统计学

2016.09—2019.06，硕士，河南大学，概率论与数理统计

工作经历：

2024.03—至今，河南大学，讲师

研究领域：

统计机器学习，高维统计，稳健统计

科研成果：

[1] Gaoming Sun, Xiaozhou Wang, Yibo Yan, Riquan Zhang. (2024) Robust distributed multicategory angle-based classification for massive data. Metrika, 87, 299–323.

[2]Gaoming Sun, Xiaozhou Wang, Yibo Yan, Riquan Zhang. (2023) Statistical inference and distributed implementation for linear multicategory SVM. Stat, 12(1), e611.

[3] Gaoming Sun, Junshan Xie. (2023) High-dimensional Edgeworth expansion of LR statistic for testing block circular symmetry covariance structure and its errors. Communications in Statistics-Theory and Methods, 52(24), 8636-8657.

[4] Junshan Xie, Gaoming Sun. (2021) High-dimensional Edgeworth expansion of the determinant of sample correlation matrix and its error bound. Stochastic, 93(3), 428-446.

[5] Gaoming Sun, Junshan Xie. (2020) Asymptotic normality and moderate deviation principle for high-dimensional likelihood ratio statistic on block compound symmetry covariance structure. Statistics, 54(1), 114-134.

[6]Junshan Xie, Gaoming Sun. (2019) A test for block circular symmetric covariance structure with divergent dimension. ESAIM: Probability and Statistics, 23, 672-696.

科研项目：

1.（参与）国家自然科学基金面上项目 (11971171)：分布式统计计算方法和理论若干研究。

2.（参与）国家自然科学基金青年项目 (11401169)：相依型随机矩阵谱统计量的渐近理论及应用。