Regression analysis of censored data with nonignorable missing covariates and application to Alzheimer Disease. - Mingyue Du; Huiqiong Li; Jianguo Sun (Comput. Stat. Data Anal., 2021)

Variable selection for case-cohort studies with informatively interval-censored outcomes. - Mingyue Du; Xingqiu Zhao; Jianguo Sun (Comput. Stat. Data Anal., 2022)

Deep convolutional neural networks using an active learning strategy for cervical cancer screening and diagnosis. - Xueguang Li; Mingyue Du; Shanru Zuo; Mingqing Zhou; Qiyao Peng 004; Ziyao Chen; Junhua Zhou; Quan-Yuan He (Frontiers Bioinform., 2023)

A conditional approach for regression analysis of case K interval-censored failure time data with informative censoring. - Mingyue Du; Xingqiu Zhao (Comput. Stat. Data Anal., 2024)

Cross-media web video event mining based on multiple semantic-paths embedding. - Xia Xiao; Mingyue Du; Shuyu Xu; Guoying Liu; Chengde Zhang (Neural Comput. Appl., 2024)

Estimation of the Additive Hazards Model Based on Interval-censored Failure Time Data with Random Change Point. - Mingyue Du; Yichen Lou; Jianguo Sun (Stat. Comput., 2025)