Imbalanced fault diagnosis of rolling bearing using a deep gradient improved generative adversarial network. - Shaowei Liu; Hongkai Jiang; Zhenghong Wu; Ke Zhao; Xin Wang 129 (ICPHM, 2022)

Intelligent fault diagnosis of rolling bearing based on a deep transfer learning network. - Zhenghong Wu; Hongkai Jiang; Sicheng Zhang; Xin Wang 129; Haidong Shao; Haoxuan Dou (ICPHM, 2023)

Adaptive variational autoencoding generative adversarial networks for rolling bearing fault diagnosis. - Xin Wang 129; Hongkai Jiang; Zhenghong Wu; Qiao Yang (Adv. Eng. Informatics, 2023)

A dynamic spectrum loss generative adversarial network for intelligent fault diagnosis with imbalanced data. - Xin Wang 129; Hongkai Jiang; Yunpeng Liu; Shaowei Liu; Qiao Yang (Eng. Appl. Artif. Intell., 2023)

Multi-sensor data fusion-enabled lightweight convolutional double regularization contrast transformer for aerospace bearing small samples fault diagnosis. - Yutong Dong; Hongkai Jiang; Mingzhe Mu; Xin Wang 129 (Adv. Eng. Informatics, 2024)

A task-oriented theil index-based meta-learning network with gradient calibration strategy for rotating machinery fault diagnosis with limited samples. - Mingzhe Mu; Hongkai Jiang; Xin Wang 129; Yutong Dong (Adv. Eng. Informatics, 2024)

An interpretable multiscale lifting wavelet contrast network for planetary gearbox fault diagnosis with small samples. - Yutong Dong; Hongkai Jiang; Xin Wang 129; Mingzhe Mu; Wenxin Jiang (Reliab. Eng. Syst. Saf., 2024)

Adaptive model-agnostic meta-learning network for cross-machine fault diagnosis with limited samples. - Mingzhe Mu; Hongkai Jiang; Xin Wang 129; Yutong Dong (Eng. Appl. Artif. Intell., 2025)

An interpretable integration fusion time-frequency prototype contrastive learning for machine fault diagnosis with limited labeled samples. - Yutong Dong; Hongkai Jiang; Xin Wang 129; Mingzhe Mu (Inf. Fusion, 2025)

A novel reinforcement learning agent for rotating machinery fault diagnosis with data augmentation. - Zhenning Li; Hongkai Jiang; Xin Wang 129 (Reliab. Eng. Syst. Saf., 2025)

A dynamic collaborative adversarial domain adaptation network for unsupervised rotating machinery fault diagnosis. - Xin Wang 129; Hongkai Jiang; Mingzhe Mu; Yutong Dong (Reliab. Eng. Syst. Saf., 2025)