讲师，硕士生导师。主要从事复杂数据单指标模型的分位数回归研究，在《Acta Mathematica Sinica. English Series》《Journal of Statistical Planning and Inference》等国内外著名期刊发表SCI论文4篇；主持国家自然科学基金青年基金项目1项。曾在同济大学从事博士后研究工作。

主讲课程：《多元统计分析》、《研究生英语应用能力提升》等

研究方向：复杂数据、分位数回归、单指标模型

主持项目:

[1]国家自然科学基金青年基金项目(12401364),高维纵向数据单指标模型的分位数回归，2025/01-2027/12.

代表论文:

[1] Han-Ying Liang; Bao-Hua Wang; Yu Shen; Quantile regression of partially

linear single-index model with missing observations, Statistics, 2021, 55(1):

1-17.

[2] Bao-Hua Wang; Han-Ying Liang; Empirical likelihood in varying

coefficient quantile regression with missing observations, Communications

in Statistics - Theory and Methods, 2022, 51(1): 267-283.

[3] Bao-Hua Wang; Han-Ying Liang; Empirical likelihood in single-index

quantile regression with high dimensional and missing observations, Journal

of Statistical Planning and Inference, 2023, 226: 1-19.

[4] Bao-Hua Wang; Han-Ying Liang; Quantile regression of ultra-high dimen

sional partially linear varying coefficient model with missing observations,

Acta Mathematica Sinica. English Series, 2023, 39(9): 1701-1726.

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