分布式和在线学习理论、方法和应用研究：

  1. Zhou, L., Gong, Z., and Xiang, P. (2024). Distributed computing and inference for big data. Annual Review of Statistics and Its Application ,11:533–551.

  2. Xiang, P., Zhou, L. and Tang, L. (2024). Transfer learning via random forests: A one-shot federated approach. Computational Statistics and Data Analysis, 197, 107975.

  3.  Hector, E., Tang, L., Zhou, L. and Song, P. X.-K. (2024). Data Integration and Model Fusion in the Bayesian and Frequentist Frameworks. Handbook of Bayesian, Fiducial, and Frequentist Inference, 238–263.

  4. Liu, W., Luo, L. and Zhou, L. (2023). Online missing value imputation for high-dimensional mixed-type data via generalized factor models. Computational Statistics and Data Analysis 187, 107822.

  5. Song, P.X.-K. and Zhou, L. (2023). Discussion of “Statistical inference for streamed longitudinal data”. Biometrika 110(4), 859–862.

  6. Luo, L., Zhou, L. and Song, P.X.K. (2023). Real-time regression analysis for streaming clustered data with possible abnormal data batches. Journal of the American Statistical Association 118 (543), 2029–2044.

  7. Zhou, L., She, Xi. and Song, P.X.K. (2023). Distributed empirical likelihood approach to integrating unbalanced data. Statistica Sinica 33, 2209–2231.

  8. Zhou, L. and Song, P.X.-K. (2022). A discussion on “A selective review of statistical methods using calibration information from similar studies”. Statistical Theory and Related Fields 6(3), 196–198.

  9. Tan, X., Chang, C., Zhou, L., and Tang, L. (2022). A tree-based model averaging approach for personalized treatment effect estimation from heterogeneous data sources. Proceedings of the 39th International Conference on Machine Learning, PMLR 162:21013-21036.

  10. Tang, L., Zhou, L., and Song, P.X.K. (2020). Distributed simultaneous inference in generalized linear models via confidence distribution. Journal of Multivariate Analysis 176, 104567.

亚组学习理论、方法和应用研究：

  1. Zhao, X., Zhou, L., Zhang, W.J. and Lin, H.(2024) Tensor Decomposition-assisted Multiview Subgroup Analysis. Acta. Math. Sin.-English Ser. To appear.

  2. Wang, W., Wu, S., Zhu, Z., Zhou, L. and Song, P. X.-K. (2024). Supervised homogeneity fusion: a combinatorial approach. The Annals of Statistics,Vol. 52, No. 1, 285–310.

  3. He, Y.#, Zhou, L.#, Xia, Y.  and Lin, H.* (2023). Center-augmented l2-type regularization for subgroup learning. Biometrics 27, 2157–2170.

  4. Zhou, L., Sun, S., Hu, H. and Song, P.X.K. (2022). Subgroup-effects models for the analysis of personal treatment effects. Annals of Applied Statistics 16(1), 80–103.

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