Publications

Jin Li, Ye Luo, Xiaowei Zhang (2024). Seesaw Experimentation: A/B Tests with Spillovers. Submitted.

Preprint

Hanzhe Li, Jin Li, Ye Luo, Xiaowei Zhang (2024). AI Persuasion, Bayesian Attribution, and Career Concerns of Doctors. Submitted.

Preprint

Liao Wang, Jin Yao, Xiaowei Zhang (2024). How Does Risk Hedging Impact Operations? Insights from a Price-Setting Newsvendor Model. Management Science 70(7):4167-4952.

Preprint DOI

Liang Ding, Xiaowei Zhang (2024). Sample and Computationally Efficient Stochastic Kriging in High Dimensions. Operations Research 72(2):660–683.

Preprint Project DOI

Wenjia Wang, Yanyuan Wang, Xiaowei Zhang (2024). Smooth Nested Simulation: Bridging Cubic and Square Root Convergence Rates in High Dimensions. Forthcoming, Management Science.

Preprint Project DOI

Wenjia Wang, Xiaowei Zhang, Lu Zou (2023). Regret Optimality of GP-UCB. Submitted.

Preprint Project

L. Jeff Hong, Yanxi Hou, Qingkai Zhang, Xiaowei Zhang (2023). Learning to Simulate: Generative Metamodeling via Quantile Regression. Submitted.

Preprint Project

L. Jeff Hong, Weihuan Huang, Jiheng Zhang, Xiaowei Zhang (2023). Staffing under Taylor's Law: A Unifying Framework for Bridging Square-root and Linear Safety Rules. Submitted.

Preprint Project

Jin Li, Ye Luo, Xiaowei Zhang (2023). Dynamic Selection in Algorithmic Decision-making. Submitted.

Preprint Project

Jin Li, Ye Luo, Xiaowei Zhang (2022). Causal Reinforcement Learning: An Instrumental Variable Approach. Submitted.

Preprint Project

Liang Ding, L. Jeff Hong, Haihui Shen, Xiaowei Zhang (2022). Knowledge Gradient for Selection with Covariates: Consistency and Computation. Naval Research Logistics 69(3):496–507.

Project DOI

L. Jeff Hong, Xiaowei Zhang (2021). Surrogate-Based Simulation Optimization. Emerging Optimization Methods and Modeling Techniques with Applications, 287–311, INFORMS TutORials in Operations Research (Book Chapter).

Project DOI

Liang Ding, Rui Tuo, Xiaowei Zhang (2021). High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids. Working paper.

Preprint Project

Haihui Shen, L. Jeff Hong, Xiaowei Zhang (2021). Ranking and Selection with Covariates for Personalized Decision Making. INFORMS Journal on Computing 33(4):1500–1519.

Project DOI

Weiwei Fan, L. Jeff Hong, Xiaowei Zhang (2020). Distributionally Robust Selection of the Best. Management Science 66(1):190–208.

Project DOI

Haojun Huo, Xiaowei Zhang, Zeyu Zheng (2018). A Scalable Approach to Enhancing Stochastic Kriging with Gradients. Proceedings of the 2018 Winter Simulation Conference, 2213–2224.

Project DOI

Xiaocheng Li, Xiaowei Zhang, Zeyu Zheng (2018). Data-Driven Ranking and Selection: High-dimensional Covariates and General Dependence. Proceedings of the 2018 Winter Simulation Conference, 1933–1944.

Project DOI

Xiaowei Zhang, Peter W. Glynn (2018). Affine Jump-Diffusions: Stochastic Stability and Limit Theorems. Working paper.

Preprint Project

Haihui Shen, L. Jeff Hong, Xiaowei Zhang (2018). Enhancing Stochastic Kriging for Queueing Simulation with Stylized Models. IISE Transactions 50(11):943–958.

Project DOI

Liang Ding, Xiaowei Zhang (2018). Scalable Stochastic Kriging with Markovian Covariances. Working paper.

Preprint Project

Lu Zou, Xiaowei Zhang (2018). Stochastic Kriging for Inadequate Simulation Models. Working paper.

Preprint Project

Haihui Shen, L. Jeff Hong, Xiaowei Zhang (2017). Ranking and Selection with Covariates. Proceedings of the 2017 Winter Simulation Conference, 2137–2148.

Project DOI

Xiaowei Zhang, Liang Ding (2016). Sequential Sampling for Bayesian Robust Ranking and Selection. Proceedings of the 2016 Winter Simulation Conference, 758–769.

Project DOI

Xiaowei Zhang, Lu Zou (2016). Simulation Metamodeling in the Presence of Model Inadequacy. Proceedings of the 2016 Winter Simulation Conference, 566–577.

Project DOI

Xiaowei Zhang, Jose Blanchet, Kay Giesecke, Peter W. Glynn (2015). Affine Point Processes: Approximation and Efficient Simulation. Mathematics of Operations Research 40(4):797–819.

Project Project DOI

Xiaowei Zhang, L. Jeff Hong, Jiheng Zhang (2014). Scaling and Modeling of Call Center Arrivals. Proceedings of the 2014 Winter Simulation Conference, 476–485.

Project DOI

Xiaowei Zhang (2013). A Bayesian Approach for Modeling and Analysis of Call Center Arrivals. Proceedings of the 2013 Winter Simulation Conference, 713–723.

Project DOI

Weiwei Fan, L. Jeff Hong, Xiaowei Zhang (2013). Robust Selection of the Best. Proceedings of the 2013 Winter Simulation Conference, 713–723.

Project DOI

Peter W. Glynn, Xiaowei Zhang (2010). A Regenerative Bootstrap Approach to Estimating the Initial Transient. Proceedings of the 2010 Winter Simulation Conference, 965–970.

DOI

Xiaowei Zhang, Peter W. Glynn (2010). On the Dynamics of a Finite Buffer Queue Conditioned on the Amount of Loss. Queueing Systems 67(2):91–110.

Project DOI

Xiaowei Zhang, Peter W. Glynn, Kay Giesecke, Jose Blanchet (2009). Rare Event Simulation for a Generalized Hawkes Process. Proceedings of the 2009 Winter Simulation Conference, 1291–1298.

Project Project DOI

Xiaowei Zhang, Jose Blanchet, Peter W. Glynn (2007). Efficient Suboptimal Rare-event Simulation. Proceedings of the 2007 Winter Simulation Conference, 389–397.

Project DOI