Deep Learning Based Causal Inference for Large-Scale Combinatorial Experiments: Theory and Empirical Evidence. - Zikun Ye; Zhiqi Zhang; Dennis J. Zhang; Heng Zhang 008; Renyu Zhang (EC, 2023)

Seller-side Outcome Fairness in Online Marketplaces. - Zikun Ye; Reza Yousefi Maragheh; Lalitesh Morishetti; Shanu Vashishtha; Jason Cho 001; Kaushiki Nag; Sushant Kumar; Kannan Achan (CoRR, 2023)

Cold Start to Improve Market Thickness on Online Advertising Platforms: Data-Driven Algorithms and Field Experiments. - Zikun Ye; Dennis J. Zhang; Heng Zhang 008; Renyu Zhang; Xin Chen 026; Zhiwei Xu (Manag. Sci., 2023)

LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments. - Zikun Ye; Hema Yoganarasimhan; Yufeng Zheng (CoRR, 2024)

Efficient Algorithms for a Class of Stochastic Hidden Convex Optimization and Its Applications in Network Revenue Management. - Xin Chen 026; Niao He; Yifan Hu; Zikun Ye (Oper. Res., 2025)

Document Valuation in LLM Summaries: A Cluster Shapley Approach. - Zikun Ye; Hema Yoganarasimhan (CoRR, 2025)