Zeyu Zheng

Zeyu Zheng is an Assistant Professor in the Department of Industrial Engineering & Operations Research at UC Berkeley. He received his Ph.D. in Management Science and Engineering, Ph.D. minor in Statistics and M.A. in economics from Stanford University. and a B.S. in Mathematics from Peking University.

• A Doubly Stochastic Simulator with Applications in Arrivals Modeling and Simulation (2023), Operations Research, Accepted, with Y. Zheng and T. Zhu.
• Gradient-based Simulation Optimization Algorithms via Multi-Resolution System Approximations (2023), INFORMS Journal on Computing, Published Online, with J. Xu.
• Learning to Simulate Sequentially Generated Data via Neural Networks and Wasserstein Training (2023), ACM Transactions on Modeling and Computer Simulation (TOMACS), Accepted, with T. Zhu and H. Liu. 
• Dynamic Pricing with External Information and Limited Inventory (2023), Management Science, Accepted, with X. Li.
• Immediacy Provision and Matchmaking (2023), Management Science, Volume 69(2), pp. 1245-1263, with Y. An.