Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments. - Tong Geng; Xiliang Lin; Harikesh S. Nair (AAAI, 2020)

Comparison Lift: Bandit-based Experimentation System for Online Advertising. - Tong Geng; Xiliang Lin; Harikesh S. Nair; Jun Hao; Bin Xiang; Shurui Fan (AAAI, 2021)

Turning a Curse into a Blessing: A General Approach to Resolve Endogeneity Problem in Data-Rich Environment. - Xiliang Lin; Tho Ngoc Le; Carlos Carrion; Zenan Wang (SMDS, 2021)

Blending Advertising with Organic Content in E-Commerce: A Virtual Bids Optimization Approach. - Carlos Carrion; Zenan Wang; Harikesh S. Nair; Xianghong Luo; Yulin Lei; Xiliang Lin; Wenlong Chen; Qiyu Hu; Changping Peng; Yongjun Bao; Weipeng Yan (CoRR, 2021)

Adaptive Experimentation with Delayed Binary Feedback. - Zenan Wang; Carlos Carrion; Xiliang Lin; Fuhua Ji; Yongjun Bao; Weipeng Yan (WWW, 2022)

Blending Advertising with Organic Content in E-commerce via Virtual Bids. - Carlos Carrion; Zenan Wang; Harikesh S. Nair; Xianghong Luo; Yulin Lei; Peiqin Gu; Xiliang Lin; Wenlong Chen; Junsheng Jin; Fanan Zhu; Changping Peng; Yongjun Bao; et al. (AAAI, 2023)

Parallel Experimentation and Competitive Interference on Online Advertising Platforms. - Caio Waisman; Navdeep S. Sahni; Harikesh S. Nair; Xiliang Lin (Mark. Sci., 2025)