Quantifying the Effectiveness of Advertising: A Bootstrap Proportion Test for Brand Lift Testing - Wanjun Liu; Xiufan Yu; Jialiang Mao; Xiaoxu Wu; Justin Dyer (Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023, 2023)

Detecting Interference in Online Controlled Experiments with Increasing Allocation - Kevin Han; Shuangning Li; Jialiang Mao; Han Wu (Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023, 2023)

Balancing Risk and Reward: A Batched-Bandit Strategy for Automated Phased Release - Yufan Li; Jialiang Mao; Iavor Bojinov (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Balancing Risk and Reward: An Automated Phased Release Strategy - Yufan Li; Jialiang Mao; Iavor Bojinov (CoRR, 2023)

Trustworthy and Powerful Online Marketplace Experimentation with Budget-split Design - Min Liu; Jialiang Mao; Kang Kang (KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021, 2021)