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师资队伍

FACULTY

教师

FACULTY

肖骞 XIAO, Qian

长聘副教授 Tenured Associate Professor

办公室 Office：

509

E-mail：

qian.xiao@sjtu.edu.cn

教育背景 Education：

统计博士，美国加州大学洛杉矶分校，2017

PhD in Statistics, UCLA, 2017.

研究兴趣 Research Interests：

计算机试验设计与分析，不确定性量化，强化学习

Computer experiment (design and analysis) , Uncertainty quantification, Reinforcement learning

工作经历 Work Experience

Tenured Associate Professor, Department of Statistics, Shanghai Jiao Tong University, China, 2024.7 -

Tenured Associate Professor, Department of Statistics, University of Georgia, USA, 2023.8 - 2024.6

Assistant Professor, Department of Statistics, University of Georgia, USA, 2017.8 - 2023.7

个人主页（Individual page）

About Me - About Qian Xiao (qxlab.github.io)

代表成果（Selected publication）

Please refer to my individual page above for the complete publication list.

Corresponding authors (通讯作者) are marked by *

Li Y., Zhang Y.,Xiao, Q.*& Wu J. (2025), Noise Resistant Control Charts for Detecting Periodicity from Correlation, Technometrics,67(3), 451-463.

Wang Y, Liu S, &Xiao, Q.*(2025+), Optimal design of experiment with quantitative-sequence factors, SCIENTIA SINICA Mathematica（中国科学数学），published online.English version;Chinese version.

Zhao, Q.,Xiao, Q., Mandal, A., & Sun, F.* (2025). Optimal Designs for Order-of-Addition Two-Level Factorial Experiments, Technometrics,67(4), Pages 716-724.

Xiao, Q., Wang, Y., Mandal, A. & Deng, X.* (2024),Modeling and active learning for experiments with quantitative-sequence factors, Journal of the American Statistical Association, 119: 407-421.

Wang, Y., Liu, S., &Xiao, Q.*(2024),Construction of Orthogonal-MaxPro Latin Hypercube Designs, Journal of Quality Technology, 56(4):342-354.

Xiao, Q., Joseph V. R.*, & Ray. D. M. (2023),Maximum one-factor-at-a-time designs for screening in computer experiments, Technometrics, 65(2), 220–230.

Li, Y., Pu, Y., Chang, C. &Xiao, Q.* (2023), A Scalable Gaussian Process for Large-Scale Periodic Data,Technometrics, 65(3), 363–374.

Xiao, Q., Mandal, A., Lin, C. D. & Deng, X.* (2021),EzGP: Easy-to-interpret Gaussian Process models for computer experiments with both quantitative and qualitative factors, SIAM-ASA Journal on Uncertainty Quantification, 9(2), 333-353.

Xiao, Q., Wang, L., & Xu, H.* (2019), Application of kriging models for a drug combination experiment on lung cancer,Statistics in Medicine, 38, 236-246.

Wang, L.,Xiao, Q.& Xu, H.* (2018),Optimal maximin L_1-distance Latin hypercube designs based on good lattice point designs, The Annals of Statistics, 46(6B), 3741–3766.

Xiao, Q., & Xu, H.* (2018), Construction of maximin distance designs via level permutation and expansion,Statistica Sinica, 28, 1395-1414.

Xiao, Q., & Xu, H.* (2017), Construction of maximin distance Latin squares and related Latin hypercube designs,Biometrika, 104, 455–464.

主要研究项目 (Selected Grants)

招生信息

学术服务