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孔祥顺

个人简介


Personal Information

Name:  Kong Xiangshun (孔祥顺)

Born:  Jan, 1990, Dalian

Email:  xskong@bit.edu.cn  kongsunday@163.com  

Institute:  School of Mathematics and Statistics, BIT, 102400, China

Address: No.5 Zhongguancun South Street, Haidian District, Beijing, China


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


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. Statistics, 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.

[8] Kong, X., Yuan, M. and Zheng, W. Approximate and exact designs for total effects. Annals of Statistics, to appear.


Visiting Positions

► 09/2018--08/2020, Visiting Scholar, Haslam School of BusinessUniversity of Tennessee, Knoxville, USA. Co-mentor: Prof. Zheng Wei


Graduate Students

► Geng Meijia (2017.8-2019.6). Master thesis: Analysis of network recruitment information under the background of big data.

► Ji Rui (2017.8-2019.6). Master thesis: Prediction of shop passenger flow based on data mining.


Fundings

► 01/2019--12/2022, National Natural Science Foundation of China (NSFC) (Grant No. 11801033), Principal Investigator


Interests

We are working on experimental design problems including optimal design theorem, experimental design in simplified statistics, space-filling designs, and related topics.