Efficiently Determine the Starting Sample Size for Progressive Sampling. - Baohua Gu; Bing Liu 001; Feifang Hu; Huan Liu 001 (DMKD, 2001)

Efficiently Determining the Starting Sample Size for Progressive Sampling. - Baohua Gu; Bing Liu 001; Feifang Hu; Huan Liu 001 (ECML, 2001)

Modelling Classification Performance for Large Data Sets. - Baohua Gu; Feifang Hu; Huan Liu (WAIM, 2001)

Response-adaptive treatment allocation for non-inferiority trials with heterogeneous variances. - Wenfu Xu; Jingya Gao; Feifang Hu; Siu Hung Cheung (Comput. Stat. Data Anal., 2018)

Adaptive A/B Test on Networks with Cluster Structures. - Yang Liu; Yifan Zhou; Ping Li 001; Feifang Hu (AISTATS, 2022)

A/B Testing in Network Data with Covariate-Adaptive Randomization. - Jialu Wang; Ping Li 001; Feifang Hu (ICML, 2023)

Balancing covariates in multi-arm trials via adaptive randomization. - Haoyu Yang; Yichen Qin; Fan Wang; Yang Li; Feifang Hu (Comput. Stat. Data Anal., 2023)

carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials. - Wei Ma; Xiaoqing Ye; Fuyi Tu; Feifang Hu (J. Stat. Softw., 2023)

Cluster-Adaptive Network A/B Testing: From Randomization to Estimation. - Yang Liu; Yifan Zhou; Ping Li 001; Feifang Hu (J. Mach. Learn. Res., 2024)