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)

Rolling bearing intelligent fault diagnosis towards variable speed and imbalanced samples using multiscale dynamic supervised contrast learning. - Yutong Dong; Hongkai Jiang; Renhe Yao; Mingzhe Mu; Qiao Yang (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 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)