Journal Publications

† Authors listed alphabetically. * Student advised.

• Zikun Ye, Hema Yoganarasimhan, Yufeng Zheng. LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments. [Code]
  • Marketing Science, 2025
  • Quantitative Marketing and Economics (QME) Conference, 2024
• Zikun Ye, Zhiqi Zhang, Dennis Zhang, Heng Zhang, Renyu Zhang. Deep-Learning-Based Causal Inference for Large-Scale Combinatorial Experiments: Theory and Empirical Evidence. [Code]
  • Management Science, 2025
  • Accepted at ACM Conference on Economics and Computation (EC'23)
  • First Prize, INFORMS Social Media Analytics Best Student Paper Award, 2023
  • Second Prize, CSAMSE Best Paper Award, 2023
• Xin Chen, Niao He, Yifan Hu, Zikun Ye†. Efficient Algorithms for a Class of Stochastic Hidden Convex Optimization and Its Applications in Network Revenue Management. [Code]
  • Operations Research, 2024
• Zikun Ye, Dennis Zhang, Heng Zhang, Renyu Zhang, Xin Chen. Cold Start to Improve Market Thickness on Online Advertising Platforms: Data-Driven Algorithms and Field Experiments. [Code]
  • Management Science, 2023
  • Finalist, INFORMS RMP Section Jeff McGill Best Student Paper, 2020

Working Papers

• Shuai Li*, Zikun Ye, Xin Chen, Weijun Xie. Joint Assortment Optimization and Discrete Marketing Mix Allocation.
  • Minor revision in Manufacturing & Service Operations Management
• Zikun Ye, Hema Yoganarasimhan. Fair Document Valuation in LLM Summaries via Shapley Values. [Code]
  • Under review in Management Science
• Lei Wang*, Zikun Ye, Jinglong Zhao†. Efficient Inference Using Large Language Models with Limited Human Data: Fine-Tuning then Rectification.
  • Under review in Management Science
• Zikun Ye, Hema Yoganarasimhan. LLM-Augmented Market Research: An Efficient Survey Design Framework.
  • In preparation
• Zikun Ye, Jiameng Lyu, Rui Tao. Online Learning Frameworks for LLM-Augmented Survey Design.
  • In preparation

Conference Papers

• Zikun Ye, Zhiqi Zhang, Dennis Zhang, Heng Zhang, Renyu Zhang. Deep-Learning-Based Causal Inference for Large-Scale Combinatorial Experiments: Theory and Empirical Evidence.
  • ACM Conference on Economics and Computation (EC'23)
• Zikun Ye, Walmart Global Tech. Seller-side Outcome Fairness in Online Marketplaces.
  • NeurIPS 2023: Algorithm Fairness Workshop

Academic Services

• Editorial Review Board
  • Marketing Science
• Referee
  • Management Science
  • Operations Research
  • Journal of Marketing Research
  • Manufacturing & Service Operations Management
  • Production and Operations Management
• Conference Program Committee
  • EC, WWW, NeurIPS
• Session Chair, INFORMS Annual Meeting, 2022, 2023, 2025
• Session Chair, ISMS 2025