Deep transfer learning-based hierarchical adaptive remaining useful life prediction of bearings considering the correlation of multistage degradation. - Han-Bing Zhang; De-Jun Cheng; Kai-Li Zhou; Sheng-Wen Zhang (Knowl. Based Syst., 2023)

Deep learning-based intelligent multilevel predictive maintenance framework considering comprehensive cost. - Kai-Li Zhou; De-Jun Cheng; Han-Bing Zhang; Zhong-tai Hu; Chun-Yan Zhang (Reliab. Eng. Syst. Saf., 2023)

Multi-feature spaces cross adaption transfer learning-based bearings piece-wise remaining useful life prediction under unseen degradation data. - Ze-Jian Li; De-Jun Cheng; Han-Bing Zhang; Kai-Li Zhou; Yu-Feng Wang (Adv. Eng. Informatics, 2024)

A novel data augmentation strategy for aeroengine multitask prognosis based on degradation behavior extrapolation and diversity-usability trade-off. - Xiao Yan Li; De-Jun Cheng; Xi Feng Fang; Chun Yan Zhang; Yu Feng Wang (Reliab. Eng. Syst. Saf., 2024)

Detection Transformer with Multi-Scale Fusion Attention Mechanism for Aero-Engine Turbine Blade Cast Defect Detection Considering Comprehensive Features. - Han-Bing Zhang; Chun-Yan Zhang; De-Jun Cheng; Kai-Li Zhou; Zhi-Ying Sun (Sensors, 2024)

A novel dual networks-guided self-assessment framework for bearings fault mode diagnosis considering early fault feature diversity. - Ze-Jian Li; De-Jun Cheng; Xiao-Yan Li; Xi-Feng Fang (Expert Syst. Appl., 2025)

SDA-PVTDet: A spatial-cross dual attention pyramid vision transformer detector for casting defect detection in radiography images. - Shun Wang; De-Jun Cheng; Xi-Feng Fang; Chun-Yan Zhang (Expert Syst. Appl., 2025)