[1]. Liu D#, Zhao C#, He Y*, Guo Y, Liu L, Zhang X. Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-variate fMRI Data. Biometrics, in press.

[2]. Chen H#, Guo Y, He Y*, Ji J, Liu L, Shi Y, Wang Y, Yu L, Zhang X (2022). Simultaneous Differential Network Analysis and Classification for Matrix-variate Data with application to Brain Connectivity. Biostatistics, 23, 967-989.

[3]. Yu L, He Y, Kong X, Zhang X (2022). Projected Estimation Method for Large-dimensional Matrix Factor Models. Journal of Econometrics, 229, 201-217.

[4]. He Y, Kong X, Yu L, Zhang X (2022). Large-dimensional Factor Analysis without Moment Constraints. Journal of Business and Economic Statistics, 40, 302-312.

[5]. He Y, Li Q#, Hu Q, Liu L (2022). Transfer Learning in High-dimensional Semi-parametric Graphical Models with Application to Brain Connectivity Analysis. Statistics in Medicine, 41, 4112-4129.

[6]. Ji J, He Y*, Liu L, Xie L (2021). Brain Connectivity Alteration Detection via Matrix-variate Differential Network Model, Biometrics, 77, 1409-1421. （封面文章）

[7]. He Y, Liu P, Zhang X, Zhou W (2021).  Robust Covariance Estimation for High-dimensional Compositional Data with Application to Microbial Communities Analysis. Statistics in Medicine, 40, 3499-3515.

[8]. He Y, Chen H#, Sun H#, Ji J, Shi Y, Zhang X, Liu L (2020). High-dimensional Integrative Copula Discriminant Analysis for Multiomics Data. Statistics in Medicine, 39, 4869-4884.

[9]. Yu L, He Y*, Zhang X (2019). Robust Factor Number Specification for Large-dimensional Elliptical Factor Model, Journal of Multivariate Analysis, 174, 104543.

[10]. He Y, Zhang L#, Ji J, Zhang X. (2019) Robust Feature Screening for Elliptical Copula Regression Model. Journal of Multivariate Analysis, 173, 568-582.

访问以下网址获取全部文章：

https://www.researchgate.net/profile/Yong-He-34

访问以下网址获取文章程序和R包：

https://github.com/heyongstat

[1]. Liu D#, Zhao C#, He Y*, Guo Y, Liu L, Zhang X. Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-variate fMRI Data. Biometrics, in press.

[2]. Chen H#, Guo Y, He Y*, Ji J, Liu L, Shi Y, Wang Y, Yu L, Zhang X (2022). Simultaneous Differential Network Analysis and Classification for Matrix-variate Data with application to Brain Connectivity. Biostatistics, 23, 967-989.

[3]. Yu L, He Y, Kong X, Zhang X (2022). Projected Estimation Method for Large-dimensional Matrix Factor Models. Journal of Econometrics, 229, 201-217.

[4]. He Y, Kong X, Yu L, Zhang X (2022). Large-dimensional Factor Analysis without Moment Constraints. Journal of Business and Economic Statistics, 40, 302-312.

[5]. He Y, Li Q#, Hu Q, Liu L (2022). Transfer Learning in High-dimensional Semi-parametric Graphical Models with Application to Brain Connectivity Analysis. Statistics in Medicine, 41, 4112-4129.

[6]. Ji J, He Y*, Liu L, Xie L (2021). Brain Connectivity Alteration Detection via Matrix-variate Differential Network Model, Biometrics, 77, 1409-1421. （封面文章）

[7]. He Y, Liu P, Zhang X, Zhou W (2021).  Robust Covariance Estimation for High-dimensional Compositional Data with Application to Microbial Communities Analysis. Statistics in Medicine, 40, 3499-3515.

[8]. He Y, Chen H#, Sun H#, Ji J, Shi Y, Zhang X, Liu L (2020). High-dimensional Integrative Copula Discriminant Analysis for Multiomics Data. Statistics in Medicine, 39, 4869-4884.

[9]. Yu L, He Y*, Zhang X (2019). Robust Factor Number Specification for Large-dimensional Elliptical Factor Model, Journal of Multivariate Analysis, 174, 104543.

[10]. He Y, Zhang L#, Ji J, Zhang X. (2019) Robust Feature Screening for Elliptical Copula Regression Model. Journal of Multivariate Analysis, 173, 568-582.

访问以下网址获取全部文章：

https://www.researchgate.net/profile/Yong-He-34

访问以下网址获取文章程序和R包：

https://github.com/heyongstat

[1]. Liu D#, Zhao C#, He Y*, Guo Y, Liu L, Zhang X. Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-variate fMRI Data. Biometrics, in press.

[2]. Chen H#, Guo Y, He Y*, Ji J, Liu L, Shi Y, Wang Y, Yu L, Zhang X (2022). Simultaneous Differential Network Analysis and Classification for Matrix-variate Data with application to Brain Connectivity. Biostatistics, 23, 967-989.

[3]. Yu L, He Y, Kong X, Zhang X (2022). Projected Estimation Method for Large-dimensional Matrix Factor Models. Journal of Econometrics, 229, 201-217.

[4]. He Y, Kong X, Yu L, Zhang X (2022). Large-dimensional Factor Analysis without Moment Constraints. Journal of Business and Economic Statistics, 40, 302-312.

[5]. He Y, Li Q#, Hu Q, Liu L (2022). Transfer Learning in High-dimensional Semi-parametric Graphical Models with Application to Brain Connectivity Analysis. Statistics in Medicine, 41, 4112-4129.

[6]. Ji J, He Y*, Liu L, Xie L (2021). Brain Connectivity Alteration Detection via Matrix-variate Differential Network Model, Biometrics, 77, 1409-1421. （封面文章）

[7]. He Y, Liu P, Zhang X, Zhou W (2021).  Robust Covariance Estimation for High-dimensional Compositional Data with Application to Microbial Communities Analysis. Statistics in Medicine, 40, 3499-3515.

[8]. He Y, Chen H#, Sun H#, Ji J, Shi Y, Zhang X, Liu L (2020). High-dimensional Integrative Copula Discriminant Analysis for Multiomics Data. Statistics in Medicine, 39, 4869-4884.

[9]. Yu L, He Y*, Zhang X (2019). Robust Factor Number Specification for Large-dimensional Elliptical Factor Model, Journal of Multivariate Analysis, 174, 104543.

[10]. He Y, Zhang L#, Ji J, Zhang X. (2019) Robust Feature Screening for Elliptical Copula Regression Model. Journal of Multivariate Analysis, 173, 568-582.

访问以下网址获取全部文章：

https://www.researchgate.net/profile/Yong-He-34

访问以下网址获取文章程序和R包：

https://github.com/heyongstat