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

* Zhou, L., Cook, R. D. and Zou, H. (2023). [Enveloped Huber Regression.](https://www.tandfonline.com/doi/full/10.1080/01621459.2023.2277403) Journal of the American Statistical Association, accepted. * Zhou, L., Wang, B. and Zou, H. (2023). [Sparse Convoluted Rank Regression in High Dimensions.](https://doi.org/10.1080/01621459.2023.2202433) 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.](https://doi.org/10.1109/TIT.2022.3222767) IEEE Transactions on Information Theory 69, 2523-2536. * Zhou, L. and Zou, H. (2021). [Cross-Fitted Residual Regression for High-Dimensional Heteroscedasticity Pursuit.](https://doi.org/10.1080/01621459.2021.1970570) Journal of the American Statistical Association 118, 1056-1065.