Publications:
[10] Wang, X., Liu, W., & Mao, X. (2023+). Byzantine-robust distributed support vector machine. Science China-Mathematics, accepted.
[9] Yan, Y., Wang, X., & Zhang, R. (2023). Confidence intervals and hypothesis testing for high-dimensional quantile regression: convolution smoothing and debiasing. Journal of Machine Learning Research, 24(245), 1-49.
[8] Yan, Y., Wang, X., & Zhang, R. (2023). Composite smoothed quantile regression. Stat, 12(1), 1-14.
[7] Sun, G., Wang, X., Yan, Y., & Zhang, R. (2023). Robust distributed multicategory angle-based classification for massive data. Metrika, 1-25.
[6] Sun, G., Wang, X., Yan, Y., & Zhang, R. (2023). Statistical inference and distributed implementation for linear multicategory SVM. Stat, 12(1), 1-16.
[5] Gao, Y., Liu, W., Wang, H., Wang, X., Yan, Y., & Zhang, R. (2021). A review of distributed statistical inference. Statistical Theory and Related Fields, 6(2), 89-99.
[4] Wang, X., Chen, X., Lin, Q., & Liu, W. (2020). Bayesian decision process for budget-efficient crowdsourced clustering. Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2044-2050.
[3] Wang, X., & Dong, F. (2020). Bayesian kernel adaptive grouping learning for multi-dimensional datasets. Statistics and Its Interface, 13(1), 127-137.
[2] Wang, X., Yang, Z., Chen, X., & Liu, W. (2019). Distributed inference for linear support vector machine. Journal of Machine Learning Research, 20(113), 1-41.
[1] Dong, F., & Wang, X. (2019). A classifier for multi-dimensional datasets based on Bayesian multiple kernel grouping learning. Journal of Statistical Computation and Simulation, 89(11), 2151-2174.
Book:
《现代非参数统计方法》，张日权、刘玉坤、唐炎林、王小舟，科学出版社，2023年
