Research Interest

Always evolving. Currently:

  • Revenue management and pricing
  • Approximate dynamic programming (also called reinforcement learning)
  • Data-driven decision making

Journal Articles (Google Scholar Profile)

Working Papers

  • Saied Samiedaluie, Dan Zhang, and Rui Zhang. 2021. Higher Order Approximations for Network Revenue Management.

  • Jiannan Ke, Dan Zhang, and Huan Zheng. 2021. Compact Reformulations of Approximate Linear Programs for Finite-Horizon Markov Decision Processes.

  • Qian Liu, Yongbo Xiao, and Dan Zhang. 2021. Opaque Selling of Multiple Substitutable Products with Finite Inventories.

  • Saied Samiedaluie, Dan Zhang, and Rui Zhang. 2020. Product-based Approximate Linear Programs for Network Revenue Management.

  • Wei Gu, Xiaohui Zhao, Xiangbing Yan, and Dan Zhang. 2020. Do Patients with Guanxi Receive Better Medical Service? Evidence from a Chinese Hospital.

  • Yan Liu, Wenbin Wang, and Dan Zhang. 2020. A Model of Credit Refund Policies.

  • Jianghua Wu, Dan Zhang, Yan Liu. 2020. Sales and Price Guarantees under Markovian Pricing.

  • Sung Ham, Chuan He, and Dan Zhang. 2020. The Promise and Peril of Dynamic Targeted Pricing.

  • Thomas Vossen, Fan You, and Dan Zhang. 2020. Finite Horizon Approximations for an Infinite Horizon Revenue Management Problem.

  • Saied Samiedaluie, Dan Zhang, and Rui Zhang. 2020. Approximate Dynamic Programming for a Queueing Control Problem.

  • Zlatana Nenova, Manuel Laguna, and Dan Zhang. 2020. Approximate Dynamic Programming for Medical Appointment Scheduling.

  • Dan Zhang, Xiao Huang, and Jian Wang. 2019. Price to Gain or Price to Retain? The Impact of Pricing on Cancellations in the Hotel Industry.

  • Xu Chen, Xiaojun Wang, Dan Zhang, and Mingfang Yang. 2019. Selling Models for Platforms: Reselling, Agency Selling, or Advertising Service?

  • Dan Zhang. 2008. Pricing and Capacity Management for Multi-Class Stochastic Service Systems. Permanent working paper.

Created by Pelican. Updated: Sun 31 January 2021.