Publication
LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments, with Hema Yoganarasimhan and Yufeng Zheng, Marketing Science (2025) [Paper] [Code]
Deep-Learning-Based Causal Inference for Large-Scale Combinatorial Experiments: Theory and Empirical Evidence, with Zhiqi Zhang, Dennis Zhang, Heng Zhang, Renyu Zhang, Management Science (2025). [Paper] [Code]
Efficient Algorithms for A Class of Stochastic Hidden Convex Optimization and Its Applications in Network Revenue Management, with Xin Chen, Niao He, Yifan Hu. Operations Research (2025) [Paper] [Code]
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] [Code]
Working Papers
Joint Assortment Optimization and Marketing Mix Allocation, with Shuai Li, Weijun Xie, and Xin Chen, minor revision in Manufacturing & Service Operations Management. [Paper]
Efficient Inference Using Large Language Models with Limited Human Data: Fine-Tuning then Rectification, with Lei Wang and Jinglong Zhao. [Paper]
Fair Document Valuation in LLM Summaries via Shapley Values, with Hema Yoganarasimhan. [Paper] [Code]
Conference Papers
Deep-Learning-Based Causal Inference for Large-Scale Combinatorial Experiments: Theory and Empirical Evidence, with Zhiqi Zhang, Dennis Zhang, Heng Zhang, Renyu Zhang, EC’23. [Paper]
Seller-side Outcome Fairness in Online Marketplaces, with Walmart Global Tech, Accepted to NeurIPS Workshop 2023. [Paper]
Academic Services
- Reviewer for Management Science, Marketing Science, Journal of Marketing Research, Operations Research, Manufacturing & Service Operations Management, Production and Operations Management
- Program chair/committee for ACM EC, WoPA, NeurIPS, AAAI, KDD
- Session chair, INFORMS Annual Meeting, ISMS Marketing Science Conference