Sun Fasheng, Professor and Doctoral Supervisor, obtained his Ph.D. in Probability Theory and Mathematical Statistics from Nankai University. He has conducted academic visits to the Department of Statistics and Actuarial Science at Simon Fraser University in Canada and the Department of Statistics at the University of California, Los Angeles (UCLA) in the United States. His main research areas include computer experiments, big data sampling, high-dimensional data analysis, and the application of statistics in machine learning and artificial intelligence. He has been awarded the Second Prize of Natural Science by the Ministry of Education, the Outstanding Achievement Award in National Statistical Scientific Research, the Jilin Provincial Youth Science and Technology Award, and the Jilin Provincial Natural Science Academic Achievement Award. Currently, he serves as the Vice Chairman of the Digital Economy and Blockchain Technology Association of the National Industrial Statistics Teaching Research Association, a Standing Committee Member of the Uniform Design Branch of the Chinese Mathematical Society, and a Standing Council Member of the Experimental Design Branch of the Chinese Association for Applied Statistics. His research findings have been published in top-tier international statistics journals such as Annals of Statistics, Biometrika, and Journal of the American Statistical Association. Some of his research achievements have been extensively cited and included in English monographs published by Chapman & Hall/CRC and Springer.

Experimental Design and Data Analysis

Computer Experiments

Big Data Sampling and Statistical Inference

Multivariate Statistics and High-Dimensional Data Analysis

The Application of Computer Experiments in Machine Learning and Artificial Intelligence

1. Han, Z.J., Wang, D.Y., Sun, F.S. and Chien, P.(2025+). General sliced factorial designs for online experiments with multiple platforms. Statistica Sinica, published online. [pdf]
2. Chen, G.Z., He, Z.Y., Lin, D. and Sun, F.S.(2025+). Grouped orthogonal arrays and their construction methods. Statistica Sinica, published online. [pdf]
3. Wen, B., Wang, S.M. and Sun, F.S.(2025). Enhanced branching Latin hypercube design and its application in automatic algorithm configuration. Scandinavian Journal of Statistics, early access on Apr, 2025. [pdf]
4. Wang, S.M., Sun, F.S. and Liu, M.Q.(2025). Energy distance-based subsampling Markov chain Monte Carlo. Science China-Mathematics, early access on Mar, 2025. [pdf]
5. Zhang, X.Q., Wang, Y.P. and Sun, F.S.(2024). Theory and applications of stratification criteria based on space-filling pattern and projection pattern. Metrika, early access on Apr, 2024. [pdf]
6. Jiang, B.C., Wang, Y.P. and Sun, F.S.(2025). On construction of strong orthogonal arrays and column-orthogonal strong orthogonal arrays of strength two plus. SCIENCE CHINA-MATHEMATICS, 68(5) 1219-1242 . [pdf]
7. Liu, H.Y., Sun, F.S., Lin, D.K.J. and Liu, M.Q.(2025). On construction of mappable nearly orthogonal arrays with column-orthogonality. Communications in Mathematics and Statistics, 13 455–480. [pdf]
8. He, X. and Sun, F.S.(2024). Construction of high-dimensional high-separation distance designs. Journal of Statistical Planning and Inference, 232 106150. [pdf]
9. Hu, B., Wang, D.Y. and Sun, F.S.(2024). Construction of mixed-level screening designs using Hadamard matrices. Journal of Statistical Planning and Inference, 231 106131. [pdf]
10. Zhu, J.Q., Wang, L. and Sun, F.S.(2024). Group-Orthogonal Subsampling for Hierarchical Data Based on Linear Mixed Models. Journal of Computational and Graphical Statistics, 33(3) 1037-1046. [pdf]
11. Hu, B., Lin, D.K.L. and Sun, F.S.(2024). Mixed-level screening designs based on skew-symmetric conference matrices. Statistics & Probability Letters, 208 110079. [pdf]
12. Wang, S.M. and Sun, F.S.(2024). Deterministic sampling based on Kullback-Leibler divergence and its applications. Statistical Papers, 65 1411–1436. [pdf]
13. Li, P.N. and Sun, F.S.(2024). A class of space-filling designs with low-dimensional stratification and column orthogonality. Canadian Journal Of Statistics-revue Canadienne De Statistique 52(1) 310–326. [pdf]
14. Wang, Y.P. and Sun, F.S.(2023). On the maximin distance properties of orthogonal designs via the rotation. Science China Mathematics 66(7) 1593-1608. [pdf]
15. Liu, S.X., Wang, Y.P. and Sun, F.S.(2023). Two-dimensional projection uniformity for space-filling designs. Canadian Journal Of Statistics-revue Canadienne De Statistique 55(1) 293-311. [pdf]
16. Zhou, Y.S., Xiao, Q. and Sun, F.S.(2023). Construction of uniform projection designs via level permutation and expansion. Journal of Statistical Planning and Inference 222 209-225. [pdf]
17. He, Y.Z., Lin, C.D. and Sun, F.S.(2022). A new and flexible design construction for orthogonal arrays for modern applications. Annals of Statistics 50(3) 1473-1489. [pdf]
18. Wang, Y.P., Sun, F.S. and Xu, H.Q.(2022). On design orthogonality, maximin distance, and projection uniformity for computer experiments. Journal of the American Statistical Association 117(537) 375-385. [pdf]
19. Li, M., Liu, M.Q., Sun, F.S. and Zhang, D.(2022). Construction of optimal supersaturated designs via generalized Hadamard matrices. Communications in Statistics - Theory andMethods 51(8) 2565-2579. [pdf]
20. Yang, J.F., Sun, F.S. and Xu, H.Q.(2021). A component-position model, analysis and design for order-of-addition experiments. Technometrics 63(2) 212-224. [pdf]
21. He, Y.Z., Lin, C.D. and Sun, F.S.(2019). Construction of marginally coupled designs by subspace theory. Bernoulli 25(3) 2163-2182. [pdf]
22. Wang, S.M., Wang, D.Y. and Sun, F.S.(2019). A central limit theorem for marginally coupled designs. Statistics & Probability Letters 146 168-174. [pdf]
23. Sun, F.S., Wang, Y. P. and Xu, H.Q.(2019). Uniform projection designs. Annals of Statistics 47(1) 641-661. [pdf]
24. Wang, L., Sun, F.S., Lin, D.K.J. and Liu, M.Q.(2018). Construction of orthogonal symmetric latin hypercube designs. Statistica Sinica 28(3) 1503-1520. [pdf]
25. Yang, C.W., Yang, Z.Z., Zhao, L., Sun, F.S. and Liu, B.(2018). A newly formed hexaploid wheat exhibits immediate higher tolerance to nitrogen-deficiency than its parental lines. BMC Plant Biology 18(113). [pdf]
26. Zhao, L., Yang, Z.Z., Guo, Q.B., Mao, S., Li, S.Q., Sun, F.S. Wang, H. and Yang, C.W.(2017). Transcriptomic profiling and physiological responses of halophyte kochia sieversiana provide insights into salt tolerance. Frontiers in Plant Science 8. [pdf]
27. He, Y.Z., Lin, C.D., Sun, F.S. and Lv, B.J.(2017). Marginally coupled designs for two-level qualitative factors. Journal of Statistical Planning and Inference 187 103-108. [pdf]
28. Sun, F.S. and Tang, B.X.(2017). A general rotation method for orthogonal Latin hypercubes. Biometrika 104(2) 465-472. [pdf]
29. Sun, F.S. and Tang, B.X.(2017). A method of constructing space-filling orthogonal designs. Journal of the American Statistical Association 112(518) 683-689. [pdf]
30. He, Y.Z., Lin, C.D. and Sun, F.S.(2017). On construction of marginally coupled designs. Statistica Sinica 27(2),665-683. [pdf]
31. Feng, L. and Sun, F.S.(2016). Spatial-sign based high-dimensional location test. Electronic Journal Of Statistics 10(2) 2420-2434. [pdf]
32. Feng, L. and Sun, F.S.(2015). A note on high-dimensional two-sample test. Statistics & Probability Letters 105 29-36. [pdf]
33. Mukerjee, R., Sun, F.S. and Tang, B.X.(2014). Miscellanea nearly orthogonal arrays mappable into fully orthogonal arrays. Biometrika 101(4) 957-963. [pdf]
34. Sun, F.S., Liu, M.Q. and Qain, P.Z.G.(2014). On the construction of nested space-filling designs. Annals of Statistics 42(4) 1394-1425. [pdf]
35. Sun, F.S., Yin, Y.H., and Liu, M.Q.(2013). Construction of nested space-filling designs using difference matrices. Journal of Statistical Planning and Inference 143(1) 160-166. [pdf]
36. Sun, F.S., Pang, F. and Liu, M.Q.(2011). Construction of column-orthogonal designs for computer experiments. Science China Mathematics 54(12) 2683-2692. [pdf]
37. Sun, F.S., Chen, J. and Liu, M.Q.(2011). Connections between uniformity and aberration in general multi-level factorials. Metrika 73(3) 305-315. [pdf]
38. Sun, F.S., Lin, D.K.J. and Liu, M.Q.(2011). On construction of optimal mixed-level supersaturated designs. Annals of Statistics 39(2) 1310-1333. [pdf]
39. Sun, F.S., Liu, M.Q. and Lin, D.K.J.(2010). Construction of orthogonal Latin hypercube designs with flexible run sizes. Journal of Statistical Planning and Inference 140(11) 3236-3242. [pdf]
40. Yang, J.F., Sun, F.S., and Liu, M.Q.(2010). A study on design uniformity under errors in the level values. Statistics & Probability Letters 80(19-20) 1467-1471. [pdf]
41. Sun, F.S., Liu, M.Q. and Lin, D.K.J.(2009). Construction of orthogonal Latin hypercube designs. Biometrika 96(4) 971-974. [pdf]
42. Sun, F.S., Liu, M.Q. and Hao, W.R.(2009). An algorithmic approach to finding factorial designs with generalized minimum aberration. Journal of Complexity 25(1) 75-84. [pdf]
43. Sun, F.S., and Liu, M.Q.(2009). 具有边界条件线性假设的检验问题. Acta Scientiarum Naturalium Universitatis Nankaiensis 南开大学学报. 自然科学版 42(3) 86-90. [pdf]
44. Sun, F.S., and Liu, M.Q.(2007). 因子平方和的正交对照分解及其应用. Acta Mathematicae Aapplicatae Sinica 应用数学学报 30(4) 757-765. [pdf]