A New Deep Fusion Network for Automatic Mechanical Fault Feature Learning. - Yumei Qi; Changqing Shen; Jun Zhu 012; Xingxing Jiang; Juanjuan Shi; Zhongkui Zhu (IEEE Access, 2019)

Estimation of Bearing Remaining Useful Life Based on Multiscale Convolutional Neural Network. - Jun Zhu 012; Nan Chen 002; Weiwen Peng (IEEE Trans. Ind. Electron., 2019)

Multi-source Unsupervised Domain Adaptation for Machinery Fault Diagnosis under Different Working Conditions. - Jun Zhu 012; Nan Chen 002; Changqing Shen; Dong Wang 001 (INDIN, 2020)

Multi-scale deep intra-class transfer learning for bearing fault diagnosis. - Xu Wang; Changqing Shen; Min Xia 001; Dong Wang 001; Jun Zhu 012; Zhongkui Zhu (Reliab. Eng. Syst. Saf., 2020)

A New Multiple Source Domain Adaptation Fault Diagnosis Method Between Different Rotating Machines. - Jun Zhu 012; Nan Chen 002; Changqing Shen (IEEE Trans. Ind. Informatics, 2021)

Dynamic Joint Distribution Alignment Network for Bearing Fault Diagnosis Under Variable Working Conditions. - Changqing Shen; Xu Wang; Dong Wang 001; Yongxiang Li; Jun Zhu 012; Mingming Gong (IEEE Trans. Instrum. Meas., 2021)

Adversarial Domain-Invariant Generalization: A Generic Domain-Regressive Framework for Bearing Fault Diagnosis Under Unseen Conditions. - Liang Chen; Qi Li; Changqing Shen; Jun Zhu 012; Dong Wang 001; Min Xia 001 (IEEE Trans. Ind. Informatics, 2022)

Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers. - Jun Zhu 012; Cheng-Geng Huang; Changqing Shen; Yongjun Shen (IEEE Trans. Ind. Informatics, 2022)

Rotating Machinery Fault Diagnosis Under Multiple Working Conditions via a Time-Series Transformer Enhanced by Convolutional Neural Network. - Zhiqiang Lu; Longyang Liang; Jun Zhu 012; Wenhao Zou; Lei Mao (IEEE Trans. Instrum. Meas., 2023)

Bearing Fault Diagnosis Under Multisensor Fusion Based on Modal Analysis and Graph Attention Network. - Ziran Meng; Jun Zhu 012; Shancheng Cao; Pengfei Li; Chao Xu 013 (IEEE Trans. Instrum. Meas., 2023)

A New Multisource Domain Bearing Fault Diagnosis Method With Adaptive Dual-Domain Obfuscation Weighting Strategy. - Changqing Shen; Jing Tian; Jun Zhu 012; Juanjuan Shi; Zhongkui Zhu; Dong Wang 001 (IEEE Trans. Instrum. Meas., 2023)

A New Multisensor Partial Domain Adaptation Method for Machinery Fault Diagnosis Under Different Working Conditions. - Jun Zhu 012; Yuanfan Wang; Min Xia 001; Darren Williams; Clarence W. de Silva (IEEE Trans. Instrum. Meas., 2023)

A New Incremental Learning for Bearing Fault Diagnosis Under Noisy Conditions Using Classification and Feature-Level Information. - Jun Zhu 012; Yuanfan Wang; Cheng-Geng Huang; Changqing Shen; Bojian Chen (IEEE Trans. Instrum. Meas., 2024)

ReShape: A Universal Data Processing Approach for Clustering Inhomogeneous and Weakly Separated Manifold Data. - Zhongju Shang; Yaoguo Dang; Jun Zhu 012; Haowei Wang; Junjie Wang (IEEE Trans. Ind. Informatics, 2024)

Intelligent Inference in Combat Simulation Systems Based on Key Feature Extraction and Uncertainty Interval Estimation. - Zhihong Chen; Jun Zhu 012 (IEEE Trans. Instrum. Meas., 2025)