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)

Selected Working Papers (Paper titles subject to change)

  • Yan Liu, Yacheng Sun, and Dan Zhang. 2020. An Analysis of "Buy X, Get One Free" Reward Programs.

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

  • 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?

  • 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 and Dan Zhang. 2020. Approximate Dynamic Programming for a Queueing Control Problem.

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

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

  • Dan Zhang and Rui Zhang. 2020. Approximate Linear Programming: Reformulations and Valid Inequalities.

  • Jiannan Ke, Dan Zhang, and Huan Zheng. 2020. Reformulations of Approximate Linear Programs.

Created by Pelican. Updated: Tue 09 June 2020.