Qiong Zhang's Homepage

Education:

Department of Statistics, University of Wisconsin-Madison

• Ph.D., Statistics, 2014, Advisor: Prof. Peter Chien

Guanghua School of Management, Peking University

• M.A., Economics (Specialized in Statistics), 2009, Advisor: Prof. Hansheng Wang

Department of Statistics, Nankai University

• B.S., Statistics, 2007

Research interests:

• Interface between information collection and statistical modeling

• Experimental design, modeling, and uncertainty quantification for computer experiments

• Statistical Design for Web Experiments

• Data Analytics for Engineering Applications

Journal Papers (* My graduate students):

• Zhang, Q.  and Wang, H. (2011), On BIC's selection consistency for discriminant analysis. Statistica Sinica. 21, 731-740. 

• Ji, Y., Xu, Y., Zhang, Q. , Tsui, K.-W., Yuan, Y., Liang, S. and Liang, H. (2011), BM-Map: Bayesian mapping of multireads for next-generation sequencing data.  Biometrics. 67(4), 1215-1224.

• Zhang, Q. , Deng, X., Qian, P. Z. G., Wang, X. (2013), Spatial modeling for refining and predicting surface potential mapping with enhanced resolution.  Nanoscale. 5, 921-926.

• Zhang, Q. , Qian, P. Z. G. (2013), Designs for crossvalidating approximation models. Biometrika. 100(4), 997-1004.

• Zhang, Q. and Song, Y. (2017), Moment Matching Based Conjugacy Approximation for Bayesian Ranking and Selection. ACM Transactions on Modeling and Computer Simulation, 27 (4), 1-23. [code]

• Sun, X., Mraied, H., Cai, W., Zhang, Q., Liang, G., Li, M. (2018),  Bayesian latent degradation performance modeling and quantification of corroding aluminum alloys,  Reliability Engineering & System Safety, 178, 84-96.

• Zhang, Q., Huangfu, Y., Zhang, W. (2019), Statistical Regression Models for WCET Estimation. Quality Technology & Quantitative Management, 16 (3), 318-329.

• Wang, B., Zhang, Q., Xie, W. (2019), Bayesian Sequential Data Collection for Stochastic Simulation Calibration, European Journal of Operational Research,  277 (1), 300-316. (Finalist, INFORMS QSR Best Student Paper Award 2017.)

• Pokhiko, V.*, Zhang, Q., Kang, L., Mays, D. (2019), D-optimal design for network A/B testing.  Journal of Statistical Theory and Practice, 13(4), 1-23.

• Zhang, Q., and Hwang, Y. (2020),  Sequential Model-based Optimization for Continuous Inputs with Finite Decision Space. Technometrics, 62.4: 486-498.

• Wang, H., Zhang, Q., Wang, K. and Deng, X. (2020), A Statistics-Guided Approach to Dimensional Quality Characterization of Free-form Surfaces with an Application to 3D Printing. Quality Engineering. 32(4), 721-739.

• Chen, S., Lu, L., Zhang, Q., and Li, M. (2020), Optimal Reliability Demonstration Tests Design under Acceptance Decision Uncertainty. Quality Engineering. 32(3), 492-508.

• Loh, W.-Y., Zhang, Q., Zhang, W., and Zhou, P. (2020), Missing data, imputation and regression trees. Statistica Sinica. 30, 1697-1722.

• Zhang, Q., Chien, P. Z. G., Liu, Q., Xu, L., Hong, Y. (2021), Mixed-input Gaussian process emulators for computer experiments with a large number of categorical levels. Journal of Quality Technology, 53(4), 410-420.

• Zhao, J.* , Zhang, Q. , Fuentes, M. , Qian, Y. , Ma, L. , and Moeller, G. (2021), A Spatio-temporal Model for Detecting the Effect of Cocaine Use Disorder on Functional Connectivity.  Spatial Statistics, 45, 100530.

• Zhang, T.* and Zhang, Q. (2021), On the Interface Between Nested Designs and the Multi-step Interpolator. Journal of Statistical Theory and Practice, 15 (4): 1-19.

• Zhang, Q., Wang, B., Xie, W. (2022), A Pooled Quantile Estimator for Parallel Simulations. Journal of Simulation. 16:1, 73-83.

• Zhang, Q., Khademi, A. and Song, Y. (2022), Min-Max Optimal Design of Two-Armed Trials with Side Information. INFORMS Journal on Computing. 34:1, 165-182. [code]

• Chen, Y., Zhang, Q., Li, M., Cai, W. (2022), Sequential Selection for Accelerated Life Testing via Approximate Bayesian Inference. Naval Research Logistics.  69 (2), 336-351.

• Zhang, Q.  and Kang, L. (2022), Locally Optimal Design for A/B Tests in the Presence of Covariates and Network Dependence. Technometrics. 64.3: 358-369. [code]

• Wu, H., Tan, X., Zhang, Q., Huang, W., Lu, X., Nishimura, Y. and Zhang, Y. (2022), Multi-Resolution Data Assimilation for Auroral Energy Flux and Mean Energy Using DMSP SSUSI, THEMIS ASI, and an Empirical Model. Space Weather. Accepted. 

• Li, Y.*, Zhang, Q., Khademi, A. and Yang, B. (2023), Optimal Design of Controlled Experiments for Personalized Decision Making in the Presence of Observational Covariates. The New England Journal of Statistics in Data Science. Accepted. 

• Kerfonta, C.*, Kim, S., Chen, Y., Zhang, Q., Jiang, M. (2024) Sequential Selection for Minimizing the Variance with Application to Crystallization Experiments. The American Statistician. Accepted. 

• Fisher, W.*, Zhang, Q., and Song, Y. (2024), Batch Sequential Designs in Bayesian Preference Elicitation with Application to Tradespace Exploration. Journal of Quality Technology. Accepted.

• Fisher, W*, Zhang, Q., and Song. Y. (2025), Approximate Dynamic Programming Methods in Bayesian Preference Elicitation. Quality Engineering. Accepted.

• Zhang, Q.  (2025), Rerandomization Algorithms for Optimal Designs of Network A/B Testing Experiments. Technometrics. Accepted.  

• Zhang, Q., Kang, L., and Deng, X. (2025) Collaborative Analysis for Paired A/B Testing Experiments. Statistica Sinica. Accepted.

Selected Manuscripts:

• Limaye, M., Li, Y.*, Zhang, Q.  and Li, G., Numerical Simulation Informed Rapid Cure Process Optimization of Composite Structures using Constrained Bayesian Optimization, 2025+ (Equal contribution of the first two authors). 

• Fisher, W*, Zhang, Q., Kang, L, and Deng, X, Collaborative Design of Controlled Experiments in the Presence of Subject Covariates, 2025+.

• Li, Yangyi* and Zhang, Q., A Network Sampling Algorithm for A/B Tests under the Conditional Autoregressive Model, 2025+.

Peer-Reviewed Conference Proceedings:

• Zhang, Q. , Song, Y. (2015), Simulation selection for empirical model comparison. Proceedings of Winter Simulation Conference, 2015, 3777-3788.

• Zhang, Q., Xie, W. (2017), Asymmetric Kriging Emulator for Stochastic Simulation. Proceedings of Winter Simulation Conference, 2017, 1762-1772.

• Wang, B., Zhang, Q., Xie, W. (2017), Bayesian sequential calibration using detailed sample paths. Proceedings of Winter Simulation Conference, 2017, 1962-1973.

• Xie, W., Zhang, P., Zhang, Q. (2017), A Stochastic Simulation Calibration Framework for Real-time System Control. Proceedings of Winter Simulation Conference, 2017, 1914-1925.

• Xie, W., Wang, B., Zhang, Q. (2018), Metamodel-Assisted Risk Analysis for Stochastic Simulation under Input Uncertainty. Proceedings of Winter Simulation Conference, 2018, 1766-1777. 

• Ryzhov,I.O., Zhang, Q., and Chen, Y. (2020), Advanced Statistical Methods: Inference, Variable Selection, and Experimental Design. Proceedings of Winter Simulation Conference 2020, 1-15.

• Fisher, W.*, Zhang, Q., Song, Y, Gorsich, D, Hartman, G. and Skowronska, A. (2022), Bayesian Sequential Preference Elicitation: A Tradespace Exploration Framework with Application in Vehicle Concept Design, Proceedings of IISE Annual Conference and Expo, 2022, 894-899. (Winner, Best Paper Award of the Operations Research Track, IISE Annual Conference & Expo 2022)

• Fisher, W.*, Zhang, Q., Li, X., Deng, X. (2022). A NURBS Fitting Approach for Quality Assessment of 3D Printing, Proceedings of IISE Annual Conference and Expo, 2022, 357-362.

• Kerfonta, C.*, Zhang, Q. , Wiecek, M. (2024), Bi-objective Bayesian Optimization with Transformed Additive Gaussian Processes., Proceedings of Winter Simulation Conference, 2024.