Xun Zhang - Research

Selected publications

*stands for the first or corresponding author

X. Zhang*, Z. Ye, and W. B. Haskell. Error Propagation in Asymptotic Analysis for Data-Driven Inventory Policies. Operations Research, 2025 73(1):1-21 [link].
X. Jiang, Z. Ye, T. Loon Ching, and X.Zhang*. Risk Aversion in a Data-Driven Multi-Period Inventory Control Problem. conditional accept at Production and Operations Management
X. Zhang*, W. B. Haskell, and Z. Ye. A Unifying Framework for Variance Reduction Algorithms for Finding Zeroes of Monotone Operators. Journal of Machine Learning Research, 23 (60), 1-44. [link]
- National Semiconductor Gold Medal, Singapore, 2021. "Awarded to the higher degree graduate in the Department of Industrial Systems Engineering and Management who has published the best research paper that has been accepted/published by an international journal" [link]

Xun Zhang*, Yudong Wang and Zhisheng Ye. Data-driven multi-period newsvendor with demand dependence and side information: Tight finite-sample and asymptotic guarantees, major revision at Operations Research.
Xiangbin Hu, Xianghua Jiang, Zhisheng Ye, and Xun Zhang (alphabetical order). Conditional Generative Learning for Joint Pricing and Inventory Control, 2nd round review (after one major revision) at Manufacturing & Service Operations Management.
Weiliang Liu, Amy Ward, and Xun Zhang (alphabetical order). Data-Driven Matching for Impatient and Heterogeneous Demand and Supply, review at Mathematics of Operations Research [ssrn]
Lan Wu, Changchun Liu, Teo Chung Piaw, and Xun Zhang*. Adaptive Learning in Branded-Fare Revenue Management, review at Operations Research. [ssrn ]
A Data-Driven Bayesian Nonparametric Approach for Black-Box Optimization. with H. Wang, S. Ng, and S. Wang. in revision. [arxiv]
An End-to-end Model for Share-of-choice Product Line Design Problem. with M. Liu, H. Gong, and C. Liu. in revision [arxiv]

I am an ad hoc reviewer for