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Qian Xiao

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Assistant Professor
  • PhD in Statistics, University of California Los Angeles (UCLA), 2017
  • BS in Investment Management, Central University of Finance and Economics, 2012
Research Areas:
Research Interests:
  • Computer Experiments (design and analysis),
  • Uncertainty quantification,
  • Reinforcement learning,
  • Medical data science

Journal articles: (Corresponding author marked with *)

1, Xiao, Q. and Xu, H.* (2017), Construction of Maximin Distance Latin Squares and Related Latin Hypercube Designs, Biometrika, 104 (2), 455-464. 

2, Wang, L., Xiao, Q. and Xu, H.* (2018), Optimal maximin $L_{1}$-distance Latin hypercube designs based on good lattice point designs, Annals of Statistics, 46 (6B), 3741-3766. (FastMmLHD in R package LHD)

3, Xiao, Q. and Xu, H.* (2018), Construction of Maximin Distance Designs via Level Permutation and Expansion, Statistica Sinica, 28 (3), 1395-1414. 

4,  Xiao, Q., Wang, L. and Xu, H.* (2019), Application of Kriging Models for a Drug Combination Experiment on Lung Cancer, Statistics in Medicine, 38 (2), 236-246.

5, 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. (R Codes)

6, Xiao, Q.* and Xu, H. (2021), A Mapping-based Universal Kriging Model for Order-of-addition Problems in Drug Combination Studies, Computational Statistics & Data Analysis, 157, 107-155. (Supplementary MaterialR Codes)

7, Wang, Y., Peng Z., Zhang R., Xiao, Q.* (2021), Robust sequential design for piecewise-stationary multi-armed bandit problem in the presence of outliers, Statistical Theory and Related Fields, 5 (2), 122-133. (R Codes)

8, Cheng, W., Pan A., Rathbun S., Ge Y., Xiao, Q., Martinez L., Ling, F., Liu S., Wang X., Yu Z., Ebell M., Li C., Handel A., Chen E. and Ye, S* (2021), Effectiveness of Neuraminidase Inhibitors to Prevent Mortality in Laboratory-Confirmed Avian Influenza A H7N9 Patients, International Journal of Infectious Diseases, 103, 573-578.

9, Chen, Z., Handel, A., Martinez, L., Xiao, Q., Li, C., Chen E., Pan, J., Li, Y., Ling, F., & Shen, Y.* (2021), The Impact of Social Distancing, Contact Tracing, and Case Isolation Interventions to Suppress the COVID-19 Epidemic: A Modeling Study, Epidemics, 36,100483.

10, Lukemire J., Xiao Q., Mandal A.*, Wong W. (2021), Statistical analysis of complex computer models in astronomy, The European Physical Journal Special Topics, 230:2253-2263. 

11, Wang, Y. Wang, F., Yuan, Y. Xiao, Q.* (2021), Connecting U-type designs before and after level permutations and expansions, Journal of Statistical Theory and Practice, 15, 81.

12, Li, C., Shen, Y.*, Xiao, Q., Rathbun, S., Huang, H., Guan, Y. (2022), Mean Corrected Generalized Estimating Equations for Longitudinal Binary Outcomes with Report Bias, Statistical Methods in Medical Research, 31(2):315-333.

13, Zhou, Y., Xiao, Q., Sun, F*. (2022), Construction of uniform projection designs via level permutation and expansion, Journal of Statistical Planning and Inference (accepted).

Book Chapters:

1, Jankar J., Wang H., Wilkes L.R., Xiao Q. & Mandal A*. (2022), Design and Analysis of Complex Computer Models. In: Srinivas R., Kumar R., Dutta M. (eds) Advances in Computational Modeling and Simulation. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-7857-8_2.

Works Submitted But Not Yet Accepted

1, Xiao, Q., Wang, Y., Mandal, A. & Deng, X*. (2020), Modeling and active learning for experiments with quantitative-sequence factors, under revisions at Journal of the American Statistical Association - Theory and Methods.

2, Li, Y., Pu, Y., Xiao, Q*., Chang, C. (2022), A scalable Gaussian process for large-scale periodic data, under revisions at Technometrics.

3, Xiao, Q., Joseph V. R*., Ray. D. M. (2022), “Maximum one-factor-at-a-time designs for screening in computer experiments”, submitted to Technometrics.

4, Wang, Y., Liu, S., & Xiao, Q*. (2022), “Construction of orthogonal-MaxPro Latin hypercube designs”, submitted to Statistica Sinica.

Software development:

R package: LHD: Latin Hypercube designs (LHDs).

R package LA: Lioness Algorithm (LA).

Courses Regularly Taught:
Articles Featuring Qian Xiao
Tuesday, March 21, 2017 - 8:50am

We are excited to have Dr. Qian Xiao join our department in Fall 2017. He will be receiving his PhD from UCLA Statistics in June 2017 and joining us as a new tenure-track assistant professor. His area of specialty is design and analysis of experiments.

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