Trustworthy and Powerful Online Marketplace Experimentation with Budget-split Design. - Min Liu; Jialiang Mao; Kang Kang (KDD, 2021)

Quantifying the Effectiveness of Advertising: A Bootstrap Proportion Test for Brand Lift Testing. - Wanjun Liu; Xiufan Yu; Jialiang Mao; Xiaoxu Wu; Justin Dyer (CIKM, 2023)

Detecting Interference in Online Controlled Experiments with Increasing Allocation. - Kevin Han; Shuangning Li; Jialiang Mao; Han Wu (KDD, 2023)

Balancing Risk and Reward: A Batched-Bandit Strategy for Automated Phased Release. - Yufan Li; Jialiang Mao; Iavor Bojinov (NeurIPS, 2023)

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

TokenFLEX: Unified VLM Training for Flexible Visual Tokens Inference. - Junshan Hu; Jialiang Mao; Zhikang Liu; Zhongpu Xia; Peng Jia; Xianpeng Lang (CoRR, 2025)