Universal Rank Inference via Residual Subsampling with Application to Large Networks , Annals of Statistics , 2023 , 51(3): 1109-1133
Estimating a change point in a sequence of very high-dimensional covariance matrices , Journal of the American Statistical Association , 2022 , 117(537): 444-454
Discussion of ’Covariate-assisted ranking and screening for large-scale two-sample inference’ , Journal of the Royal Statistical Society Series B-Statistical Methodology , 2019 , 81(2): 228-229
Weighted statistic in detecting faint and sparse alternatives for high-dimensional covariance matrices , Journal of the American Statistical Association , 2017 , 112(517): 188-200
Power Iteration for Tensor PCA , Journal of Machine Learning Research , 2022 , 23(128): 1-47
A unified matrix model including both CCA and F matrices in multivariate analysis: the largest eigenvalue and its applications , Bernoulli , 2018 , 24(4B): 3447-3468