Current Research Interests

High-dimensional data analysis, statistical learning theory, high dimensional probability

 

 

Selected Publications

• Zhou, L., Cook, R. D. and Zou, H. (2023). Enveloped Huber Regression. Journal of the American Statistical Association, accepted.
• Zhou, L., Wang, B. and Zou, H. (2023). Sparse Convoluted Rank Regression in High Dimensions. Journal of the American Statistical Association, in press.
• Wang, B., Zhou, L., Yang, J. and Mai, Q. (2023). Density-Convoluted Tensor Support Vector Machines. Statistics and its Interface, in press.
• Wang, B., Zhou, L., Gu, Y. and Zou, H. (2022). Density-Convoluted Support Vector Machines for High-Dimensional Classification. IEEE Transactions on Information Theory 69, 2523-2536.
• Zhou, L. and Zou, H. (2021). Cross-Fitted Residual Regression for High-Dimensional Heteroscedasticity Pursuit. Journal of the American Statistical Association 118, 1056-1065.