Papers

• Cold Start to Improve Market Thickness on Online Advertising Platforms: Data-Driven Algorithms and Field Experiments, with Dennis Zhang, Heng Zhang, Renyu Zhang, and Xin Chen, Management Science (2023). [Paper]
  • Finalist, INFORMS Revenue Management and Pricing Section Jeff McGill Student Paper Prize, 2020

• Efficient Algorithms for A Class of Stochastic Hidden Convex Optimization and Its Applications in Network Revenue Management , with Xin Chen, Niao He, Yifan Hu (Alphabetical). Forthcoming in Operations Research. [Paper]

• Deep-Learning-Based Causal Inference for Large-Scale Combinatorial Experiments: Theory and Empirical Evidence, with Zhiqi Zhang, Dennis Zhang, Heng Zhang, Renyu Zhang. [Paper]
  • Major revision in Management Science
  • In Proceedings of ACM Conference on Economics and Computation (EC’23)
  • First Prize, INFORMS Social Media Analytics Best Student Paper Award Competition, 2023
  • Second Prize, CSAMSE Best Paper Award, 2023

• LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments, with Hema Yoganarasimhan and Yufeng Zheng, under review in Marketing Science. [Paper]

• Joint Assortment Optimization and Marketing Mix Allocation, with Shuai Li, Weijun Xie, and Xin Chen, In preparation.

• Traffic Allocation for Sequential Experiments with Increasing Heterogeneity, Working in progress.

Conference

• Deep-Learning-Based Causal Inference for Large-Scale Combinatorial Experiments: Theory and Empirical Evidence, with Zhiqi Zhang, Dennis Zhang, Heng Zhang, Renyu Zhang, ACM Conference on Economics and Computation (EC’23) [Paper]

• Seller-side Outcome Fairness in Online Marketplaces, with Walmart Global Tech, Accepted to NeurIPS 2023: Algorithm Fairness Workshop. [Paper]

Academic Services

• Reviewer for Management Science, Marketing Science, Operations Research, Manufacturing & Service Operations Management, Production and Operations Management
• Session chair, INFORMS Annual Meeting