个人简历

Educational Background
► 09/2012--06/2017, PhD in Probability & Statistics, School of mathematics and statistics, Peking University. Supervisor: Prof. Ai Mingyao. Major: experimental design and mathematical statistics
► 09/2008--07/2012, Bachelor in Mathematics, Nankai University, China
Working Experience
► 09/2017--Present, Assistant Professor, School of Mathematics and Statistics, Beijing Institute of Technology

近期论文

Publications
[1] Ai, M., Kong, X. and Li, K. (2016). A general theory for orthogonal array based Latin hypercube sampling. Statistica Sinica, 26(2), 761-777.
[2] Kong, X., Ai, M. and Mukerjee, R. (2017). Central limit theorems for four new types of U-designs. Statistica Sinica, 51(3), 655-667.
[3] Kong, X., Ai, M. and Tsui, K. L. (2018). Flexible sliced designs for computer experiments. Annals of the Institute of Statistical Mathematics, 70(3), 631-646.
[4] Kong, X., Ai, M. and Tsui, K. L. (2018). Design for sequential follow-up experiments in computer emulations. Technometrics, 60(1), 61-69.
[5] Yu, J., Kong, X., Ai, M. and Tsui, K. L. (2018). Optimal designs for dose–response models with linear effects of covariates. Computational Statistics & Data Analysis, 127, 217–228.
[6] Huang, Y., Kong, X. and Ai, M. (2019). Optimal designs for the Lasso in sparse linear models. Metrika, 83, 255-273.
[7] Kong, X. and Zheng, W. Design based incomplete U-statistics. Statistica Sinica, to appear.