A unified framework of analyzing missing data and variable selection using regularized likelihood. - Yuan Bian 005; Grace Y. Yi; Wenqing He (Comput. Stat. Data Anal., 2024)

Boosting Methods for Interval-censored Data with Regression and Classification. - Yuan Bian 005; Grace Y. Yi; Wenqing He (ICLR, 2025)

Empirical investigations of boosting with pseudo-outcome imputation for missing responses. - Yuan Bian 005; Grace Y. Yi; Wenqing He (Stat. Comput., 2025)