A novel deep autoencoder and hyperparametric adaptive learning for imbalance intelligent fault diagnosis of rotating machinery. - Wanxiang Li; Zhiwu Shang; Maosheng Gao; Shiqi Qian; Baoren Zhang; Jie Zhang (Eng. Appl. Artif. Intell., 2021)

A novel intelligent fault diagnosis method of rotating machinery based on signal-to-image mapping and deep Gabor convolutional adaptive pooling network. - Wanxiang Li; Zhiwu Shang; Shiqi Qian; Baoren Zhang; Jie Zhang; Maosheng Gao (Expert Syst. Appl., 2022)

Remaining useful life prediction based on transfer multi-stage shrinkage attention temporal convolutional network under variable working conditions. - Wanxiang Li; Zhiwu Shang; Maosheng Gao; Shiqi Qian; Zehua Feng (Reliab. Eng. Syst. Saf., 2022)

A novel unsupervised anomaly detection method for rotating machinery based on memory augmented temporal convolutional autoencoder. - Wanxiang Li; Zhiwu Shang; Jie Zhang; Maosheng Gao; Shiqi Qian (Eng. Appl. Artif. Intell., 2023)

A Novel Small Samples Fault Diagnosis Method Based on the Self-attention Wasserstein Generative Adversarial Network. - Zhiwu Shang; Jie Zhang; Wanxiang Li; Shiqi Qian; Jingyu Liu; Maosheng Gao (Neural Process. Lett., 2023)

Multiscale capsule networks with attention mechanisms based on domain-invariant properties for cross-domain lifetime prediction. - Zhiwu Shang; Zehua Feng (Digit. Signal Process., 2024)

Bearing fault diagnosis based on high-confidence pseudo-labels and dual-view multi-adversarial sparse joint attention network under variable working conditions. - Cailu Pan; Zhiwu Shang; Wanxiang Li; Fei Liu; Lutai Tang (Eng. Appl. Artif. Intell., 2024)

A hybrid semantic attribute-based zero-shot learning model for bearing fault diagnosis under unknown working conditions. - Zhiwu Shang; Lutai Tang; Cailu Pan; Hongchuan Cheng (Eng. Appl. Artif. Intell., 2024)

Capsule Network Based on Double-layer Attention Mechanism and Multi-scale Feature Extraction for Remaining Life Prediction. - Zhiwu Shang; Zehua Feng; Wanxiang Li; Zhihua Wu; Hongchuan Cheng (Neural Process. Lett., 2024)

Meta-adversarial transfer learning based on a dual-channel transformer network for aircraft engine remaining useful life prediction. - Zhiwu Shang; Tianchu Pang; Cailu Pan; Leyi Yao; Zifei Wang (Eng. Appl. Artif. Intell., 2025)

Joint domain transfer elasticity metric network for cross-domain small sample fault diagnosis. - Zhiwu Shang; Xiaolong Du; Cailu Pan; Fei Liu; Ziyu Wang (Neurocomputing, 2025)