Qiong Zhang's Homepage
Qiong Zhang
Associate Professor of Statistics
Email: qiongz AT clemson DOT edu
School of Mathematical and Statistical Sciences
Clemson University
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.
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.