Imbalanced Fault Diagnosis of Rolling Bearing Using Enhanced Generative Adversarial Networks. - Hongliang Zhang 003; Rui Wang 081; Ruilin Pan; Haiyang Pan (IEEE Access, 2020)

Federated adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy. - Rui Wang 081; Weiguo Huang; Mingkuan Shi; Jun Wang 026; Changqing Shen; Zhongkui Zhu (Knowl. Based Syst., 2022)

Multisource Domain Feature Adaptation Network for Bearing Fault Diagnosis Under Time-Varying Working Conditions. - Rui Wang 081; Weiguo Huang; Jun Wang 026; Changqing Shen; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2022)

Multi-stage distribution correction: A promising data augmentation method for few-shot fault diagnosis. - Xiao Zhang; Weiguo Huang; Rui Wang 081; Yi Liao; Chuancang Ding; Jun Wang 026; Juanjuan Shi (Eng. Appl. Artif. Intell., 2023)

Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis. - Mingkuan Shi; Chuancang Ding; Rui Wang 081; Qiuyu Song; Changqing Shen; Weiguo Huang; Zhongkui Zhu (Knowl. Based Syst., 2023)

Classifier Discrepancy Guided Soft-Weight Adaptation Network for Machinery Fault Diagnosis Under Domain and Category Shift. - Rui Wang 081; Weiguo Huang; Jun Wang 026; Chuancang Ding; Changqing Shen; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2023)

Prototype-Driven Class-Wise Adversarial Transfer Networks for Partial Domain Fault Diagnosis of Rolling Bearings. - Yuteng Zhang; Hongliang Zhang 003; Rui Wang 081; Bin Chen; Haiyang Pan (IEEE Trans. Instrum. Meas., 2023)

Cross-domain privacy-preserving broad network for fault diagnosis of rotating machinery. - Mingkuan Shi; Chuancang Ding; Shuyuan Chang; Rui Wang 081; Weiguo Huang; Zhongkui Zhu (Adv. Eng. Informatics, 2023)

A novel domain generalization network with multidomain specific auxiliary classifiers for machinery fault diagnosis under unseen working conditions. - Rui Wang 081; Weiguo Huang; Yixiang Lu; Xiao Zhang; Jun Wang 026; Chuancang Ding; Changqing Shen (Reliab. Eng. Syst. Saf., 2023)

Federated contrastive prototype learning: An efficient collaborative fault diagnosis method with data privacy. - Rui Wang 081; Weiguo Huang; Xiao Zhang; Jun Wang 026; Chuancang Ding; Changqing Shen (Knowl. Based Syst., 2023)

Graph embedding deep broad learning system for data imbalance fault diagnosis of rotating machinery. - Mingkuan Shi; Chuancang Ding; Rui Wang 081; Changqing Shen; Weiguo Huang; Zhongkui Zhu (Reliab. Eng. Syst. Saf., 2023)

Cloud-edge collaborative transfer fault diagnosis of rotating machinery via federated fine-tuning and target self-adaptation. - Rui Wang 081; Weiguo Huang; Yixiang Lu; Jun Wang 026; Chuancang Ding; Yi Liao; Juanjuan Shi (Expert Syst. Appl., 2024)

Semi-supervised class incremental broad network for continuous diagnosis of rotating machinery faults with limited labeled samples. - Mingkuan Shi; Chuancang Ding; Rui Wang 081; Changqing Shen; Weiguo Huang; Zhongkui Zhu (Knowl. Based Syst., 2024)

Non-Uniformly Weighted Multisource Domain Adaptation Network For Fault Diagnosis Under Varying Working Conditions. - Hongliang Zhang 003; Yuteng Zhang; Rui Wang 081; Haiyang Pan; Bin Chen (Neural Process. Lett., 2024)

Dual prototypical contrastive network: a novel self-supervised method for cross-domain few-shot fault diagnosis. - Xiao Zhang; Weiguo Huang; Rui Wang 081; Jun Wang 026; Changqing Shen (J. Intell. Manuf., 2025)