Research
IEOR researchers investigate the latest mathematical tools, approaches, and methodologies to make new theoretical discoveries and innovations that touch nearly every industry, making them more efficient and profitable in areas such as supply chain, logistics, manufacturing, data science, energy systems, robotics, and management.
Selected Publications
Immediacy Provision and Matchmaking
An, Yu and Zheng, Zeyu, Immediacy Provision and Matchmaking (January 19, 2022). Available at SSRN: https://ssrn.com/abstract=2868280 or http://dx.doi.org/10.2139/ssrn.2868280
Dynamic Pricing with External Information and Inventory Constraint
Li, Xiaocheng & Zheng, Zeyu. (2019). Dynamic Pricing with External Information and Inventory Constraint. SSRN Electronic Journal. 10.2139/ssrn.3458662.
Learning to Simulate Sequentially Generated Data via Neural Networks and Wasserstein Training
Zhu, Tingyu & Liu, Haoyu & Zheng, Zeyu. (2023). Learning to Simulate Sequentially Generated Data via Neural Networks and Wasserstein Training. ACM Transactions on Modeling and Computer Simulation. 10.1145/3583070.
Gradient-Based Simulation Optimization Algorithms via Multi-Resolution System Approximations
Xu, Jingxu & Zheng, Zeyu. (2023). Gradient-Based Simulation Optimization Algorithms via Multi-Resolution System Approximations. INFORMS Journal on Computing. 35. 10.1287/ijoc.2023.1279.
A Doubly Stochastic Simulator with Applications in Arrivals Modeling and Simulation
Yufeng, Zheng & Zheng, Zeyu. (2020). Doubly Stochastic Generative Arrivals Modeling.
A Breakpoints Based Method for the Maximum Diversity and Dispersion Problems
Hochbaum, D. S., Liu, Z., & Goldschmidt, O. (2023). A Breakpoints Based Method for the Maximum Diversity and Dispersion Problems. In Proceedings of the SIAM Conference on Applied and Computational Discrete Algorithms (ACDA23) (pp. 189-200). Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611977714.17