Semi-supervised fault diagnosis of machinery using LPS-DGAT under speed fluctuation and extremely low labeled rates. - Shen Yan 001; Haidong Shao; Yiming Xiao; Jian Zhou; Yuandong Xu; Jiafu Wan (Adv. Eng. Informatics, 2022)

Cross-domain fault diagnosis of bearing using improved semi-supervised meta-learning towards interference of out-of-distribution samples. - Jian Lin; Haidong Shao; Zhishan Min; Jingjie Luo; Yiming Xiao; Shen Yan 001; Jian Zhou (Knowl. Based Syst., 2022)

Hybrid robust convolutional autoencoder for unsupervised anomaly detection of machine tools under noises. - Shen Yan 001; Haidong Shao; Yiming Xiao; Bin Liu 025; Jiafu Wan (Robotics Comput. Integr. Manuf., 2023)

Dual-Threshold Attention-Guided GAN and Limited Infrared Thermal Images for Rotating Machinery Fault Diagnosis Under Speed Fluctuation. - Haidong Shao; Wei Li 191; Baoping Cai; Jiafu Wan; Yiming Xiao; Shen Yan 001 (IEEE Trans. Ind. Informatics, 2023)

FGDAE: A new machinery anomaly detection method towards complex operating conditions. - Shen Yan 001; Haidong Shao; Zhishan Min; Jiangji Peng; Baoping Cai; Bin Liu 025 (Reliab. Eng. Syst. Saf., 2023)

C-ECAFormer: A new lightweight fault diagnosis framework towards heavy noise and small samples. - Jie Wang 160; Haidong Shao; Shen Yan 001; Bin Liu 025 (Eng. Appl. Artif. Intell., 2023)

Digital twin-assisted imbalanced fault diagnosis framework using subdomain adaptive mechanism and margin-aware regularization. - Shen Yan 001; Xiang Zhong; Haidong Shao; Yuhang Ming 002; Chao Liu 031; Bin Liu 025 (Reliab. Eng. Syst. Saf., 2023)

Transfer graph feature alignment guided multi-source domain adaptation network for machinery fault diagnosis. - Zhengwu Liu; Xiang Zhong; Haidong Shao; Shen Yan 001; Bin Liu 025 (Knowl. Based Syst., 2024)

LiConvFormer: A lightweight fault diagnosis framework using separable multiscale convolution and broadcast self-attention. - Shen Yan 001; Haidong Shao; Jie Wang 160; Xinyu Zheng; Bin Liu 025 (Expert Syst. Appl., 2024)

SAFS-Net: A novel health indicator extraction and fault early warning method for machinery. - Minghui Shao; Haidong Shao; Minjie Feng; Shen Yan 001; Bin Liu 025 (Adv. Eng. Informatics, 2025)

Domain generalization for rotating machinery fault diagnosis: A survey. - Yiming Xiao; Haidong Shao; Shen Yan 001; Jie Wang 160; Ying Peng; Bin Liu 025 (Adv. Eng. Informatics, 2025)