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 Minimizing Compositions of Convex Functions and Random Functions and Its Applications in Network Revenue Management , with Xin Chen, Niao He, Yifan Hu (Authors listed Alphabetically), minor revision 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, under review in Management Science. [Paper]
  • Accepted to 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

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

• Joint Assortment Optimization and Marketing Mix Allocation, with Shuai Li, Weijun Xie, and Xin Chen, Working paper

• Interference Induced by Training Data Contamination in Field Experiments, Working in progress

Academic Services

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