杨青，特任研究员，博士生导师。本科毕业于北京师范大学数学科学学院，博士毕业于新加坡南洋理工大学，后在南洋理工大学和美国普渡大学从事博士后工作，加入中科大前在普渡大学担任访问助理教授。目前感兴趣方向包括高维统计推断，大维随机矩阵等，入选中国科协青年人才托举工程。

• Universal rank inference via residual subsampling with application to large networks (with Han, X. and Fan, Y. Y.). Accepted by the Annals of Statistics.

  
  

• Estimating a change point in a sequence of very high dimensional covariance matrices (with Dette, H. and Pan, G. M. ). Journal of the American Statistical Association, 117(537), 444-454, 2022. 

  
  

• Power iteration for Tensor PCA (with Huang, J., Huang D. Z. and Cheng, G.). Accepted by Journal of Machine Learning Research.

  
  

• Discussion on "Covariate-assisted ranking and screening for large-scale two-sample inference” (with Cheng, G.). Journal of the Royal Statistical Society: Series B (Statistical Methodology), 81(2), 228-229, 2019.

  
  

•  A unified matrix model including both CCA and F matrices in multivariate analysis: the largest eigenvalue and its applications (with Han, X. and Pan, G. M. ). Bernoulli, 24 (4B), 3447-3468, 2018.

• Weighted statistic in detecting faint and sparse alternatives for highdimensional covariance matrices (with Pan, G. M.). Journal of the American Statistical Association, 112 (517), 188-200, 2017.

• On high-dimensional change point problem (with Jin, B. S., Pan, G. M. and Zhou, W.). Science China Mathematics, (invited paper), 59 (12), 2355-2378, 2016.

   

• Large dimensional empirical likelihood (with Chen, B. B., Pan, G. M. and Zhou, W. ). Statistica Sinica, 25, 1659-1677, 2015.