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Xiaowei Zhang
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Cited by
Year
Ranking and selection with covariates for personalized decision making
H Shen, LJ Hong, X Zhang
INFORMS Journal on Computing 33 (4), 1500-1519, 2021
592021
Distributionally robust selection of the best
W Fan, LJ Hong, X Zhang
Management Science 66 (1), 190-208, 2020
402020
Affine point processes: Approximation and efficient simulation
X Zhang, J Blanchet, K Giesecke, PW Glynn
Mathematics of Operations Research 40 (4), 797 - 819, 2015
362015
Robust selection of the best
W Fan, LJ Hong, X Zhang
Proceedings of the 2013 Winter Simulation Conference, 868 - 876, 2013
322013
Knowledge gradient for selection with covariates: Consistency and computation
L Ding, LJ Hong, H Shen, X Zhang
Naval Research Logistics 69 (3), 496-507, 2022
272022
Rare event simulation for a generalized Hawkes process
X Zhang, PW Glynn, K Giesecke, J Blanchet
Proceedings of the 2009 Winter Simulation Conference, 1291-1298, 2009
252009
Scaling and modeling of call center arrivals
X Zhang, LJ Hong, J Zhang
Proceedings of the 2014 Winter Simulation Conference, 476 - 485, 2014
202014
Enhancing stochastic kriging for queueing simulation with stylized models
H Shen, LJ Hong, X Zhang
IISE Transactions 50 (11), 943-958, 2018
182018
Causal reinforcement learning: An instrumental variable approach
J Li, Y Luo, X Zhang
Available at SSRN: https://ssrn.com/abstract=3792824, 2021
172021
Surrogate-based simulation optimization
LJ Hong, X Zhang
Emerging Optimization Methods and Modeling Techniques with Applications, 287–311, 2021
162021
Ranking and selection with covariates
H Shen, LJ Hong, X Zhang
Proceedings of the 2017 Winter Simulation Conference, 2137-2148, 2017
162017
Affine jump-diffusions: Stochastic stability and limit theorems
X Zhang, PW Glynn
Available at arXiv: https://arxiv.org/abs/1811.00122, 2018
152018
Data-driven ranking and selection: High-dimensional covariates and general dependence
X Li, X Zhang, Z Zheng
Proceedings of the 2018 Winter Simulation Conference, 1933-1944, 2018
112018
Sample and computationally efficient stochastic kriging in high dimensions
L Ding, X Zhang
Operations Research 72 (2), 660-683, 2024
10*2024
On the dynamics of a finite buffer queue conditioned on the amount of loss
X Zhang, PW Glynn
Queueing Systems: Theory and Applications 67 (2), 91-110, 2011
92011
Sequential sampling for Bayesian robust ranking and selection
X Zhang, L Ding
Proceedings of the 2016 Winter Simulation Conference, 758-769, 2016
82016
Scalable stochastic kriging with Markovian covariances
L Ding, X Zhang
Available at arXiv: https://arxiv.org/abs/1803.02575, 2018
52018
A Bayesian approach for modeling and analysis of call center arrivals
X Zhang
Proceedings of the 2013 Winter Simulation Conference, 713 - 723, 2013
52013
Smooth nested simulation: Bridging cubic and square root convergence rates in high dimensions
W Wang, Y Wang, X Zhang
Management Science, 2024
42024
Stochastic kriging for inadequate simulation models
L Zou, X Zhang
Available at arXiv: https://arxiv.org/abs/1802.00677, 2018
42018
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