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个人简介Personal Profile
重庆大学数学与统计学院教师，博士生导师，巴渝学者青年学者。统计学博士，主要研究方向为高维统计分析和随机矩阵理论，师从世界科学院院士白志东教授。美国宾州州立大学、新加坡南洋理工大学、香港大学、香港科技大学等访问学者。2011年度哈工大优秀毕业生，2017年度吉林省优博。担任中国现场统计研究会数据科学与人工智能分会、中国现场统计研究会教育统计与管理分会、全国工业统计学教学研究会青年统计家协会理事，美国《Mathematical Reviews》评论员。在 Annals of Statistics、Annals of Applied Probability、Transactions of the American Mathematical Society、Bernoulli、Statistica Sinica、Science China: Mathematics、Journal of Multivariate Analysis等顶级和权威期刊发表论文。主持国家自然科学基金面上项目1项， 国家自然科学青年基金项目1项，省部和市厅级科研项目2项；曾作为主要成员参与国家自然科学基金面上项目 4 项。
当前团队课题包括：
1. 高维缺失数据的统计推断方法；
2. 人工智能领域的随机矩阵相关问题；
3. 基于相关系数矩阵的高维数据分析方法。
招收统计学博士和统计学学术型硕士。欢迎具有良好的数学、统计学基础且有志于从事相关科学研究的同学加入团队，共同进步。
发表论文：* 代表通讯作者
1. Spectral Analysis of Gram Matrices with Missing at Random Observations: Convergence, Central Limit Theorems, and Applications in Statistical Inference. Huiqin Li, Guangming Pan, Yanqing Yin*, Wang Zhou. (字母序排名). Annals of Statistics. (2024)
2. Properties of eigenvalues and eigenvectors of large-dimensional sample correlation matrices. Yanqing Yin, Yanyuan Ma. Annals of Applied Probability. (2022).
3. Separable sample covariance matrices under elliptical populations with applications. Huiqin Li, Guangming Pan, Yanqing Yin*, Wang Zhou. (字母序排名). Transactions of the American Mathematical Society. (2024)
4. Spectral statistics of high dimensional sample covariance matrix with unbounded population spectral norm. Yanqing Yin* . Bernoulli. (2022).
5. Central Limit Theorem of Linear Spectral Statistics of High-dimensional Sample Correlation Matrices. Yanqing Yin, Shurong Zheng*, Tingting Zou. (字母序排名). Bernoulli (2023).
6. Spectral Properties of Rescaled Sample Correlation Matrix. Yanqing Yin, Changcheng Li, Guoliang Tian, Shurong Zheng*. Statistica Sinica. (2023).
7. High-Dimensional Scale Invariant Discriminant Analysis. Li Ming; Wang Cheng; Yin Yanqing; Zheng Shurong. (字母序排名). Statistica Sinica (2025).
8. Test for high-dimensional mean vector under missing observations. Yanqing Yin*. Journal of Multivariate analysis. (2021).
9. Testing high dimensional covariance structure using double-normalized observations. Yanqing Yin, Huiqin Li*, Zhidong Bai. Science China: Mathematics. (2024).
10. Some strong convergence theorems for eigenvalues of general sample covariance matrices. Yanqing Yin*. Random Matrices Theory Appl. (2022).
11. Central limit theorem for linear spectral statistics of general separable sample covariance matrices with applications. Huiqin Li; Yanqing Yin*; Shurong Zheng. (字母序排名). J. Statist. Plann. Inference. (2021).
12. On the singular value distribution of large-dimensional data matrices whose columns have different correlations. Yanqing Yin*. Statistics . (2020)
13. Model-free tests for series correlation in multivariate linear regression. Yanqing Yin*. J. Statist. Plann. Inference . (2020)
14. A central limit theorem for sums of functions of residuals in a high-dimensional regression model with an application to variance homoscedasticity test. Zhidong Bai Guangming Pan Yanqing Yin*. (字母序排名). Test. (2018).
15. Central limit theorem for linear spectral statistics of large dimensional quaternion sample covariance matrices. Yanqing Yin*. Linear Algebra Appl. (2018).
16. Gaussian fluctuations for linear spectral statistics of Wigner beta ensembles. Yanqing Yin*. J. Math. Anal. Appl. (2018).
17. On the limit of spectral distribution of large dimensional random quaternion covariance matrices. Yanqing Yin, Jiang Hu*. Random Matrices Theory Appl. (2017).
18. Test on the linear combinations of mean vectors in high dimensional data. Huiqin li, Zhidong Bai, Jiang Hu*, Yanqing Yin, Kexin Zou. Test. (2017).
19. On the semicircular law of large dimensional random quaternion matrices. Yanqing Yin, Zhidong Bai*, Jiang Hu. J. Theoret. Probab. (2016).
20. Convergence rates of the spectral distributions of large random quaternion self-dual Hermitian matrices. Yanqing Yin, Zhidong Bai*. J. Stat. Phys. (2014).
21. On the limit of extreme eigenvalues of large dimensional random quaternion matrices. Yanqing Yin, Zhidong Bai*, Jiang Hu. Phys. Lett. A. (2014).