An intelligent and multi-channel deep feature enhanced framework for predicting difficult-to-measure CTQ. - Xueqing Wang; Xianhui Yin; Zhen He 001; Zixian Liu; Yuan Gao 022 (Comput. Ind. Eng., 2022)

A nonparametric CUSUM scheme for monitoring multivariate time-between-events-and-amplitude data with application to automobile painting. - Zhen He 001; Yuan Gao 022; Liang Qu; Zhiqiong Wang (Int. J. Prod. Res., 2022)

A deep learning process anomaly detection approach with representative latent features for low discriminative and insufficient abnormal data. - Yuan Gao 022; Xianhui Yin; Zhen He 001; Xueqing Wang (Comput. Ind. Eng., 2023)