Current Research Interests
High-dimensional data analysis, statistical learning theory, high dimensional probability
- 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.
- 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.