Current Research Interests

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

 

 

Selected Publications

• Wang, B., Zhou, L., Gu, Y. and Zou, H. (2022). Density-Convoluted Support Vector Machines for High-Dimensional Classification. IEEE Transactions on Information Theory, accepted. https://doi.org/10.1109/TIT.2022.3222767
• Zhou, L., Wang, B. and Zou, H. (2021). Sparse Convoluted Rank Regression in High Dimensions. Journal of the American Statistical Association, accepted.
• Zhou, L., Cook, R. D. and Zou, H. (2021). Enveloped Huber Regression. Submitted.
• Zhou, L. and Zou, H. (2021). Cross-Fitted Residual Regression for High-Dimensional Heteroscedasticity Pursuit. Journal of the American Statistical Association, in press. https://doi.org/10.1080/01621459.2021.1970570