Intelligent fault diagnosis of rolling bearings using a semi-supervised convolutional neural network. - Yaochun Wu; Rongzhen Zhao; Wuyin Jin; Tianjing He; Sencai Ma; Mingkuan Shi (Appl. Intell., 2021)

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)

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)

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)

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)

Extended attention signal transformer with adaptive class imbalance loss for Long-tailed intelligent fault diagnosis of rotating machinery. - Shuyuan Chang; Liyong Wang; Mingkuan Shi; Jinle Zhang; Li Yang; Lingli Cui (Adv. Eng. Informatics, 2024)

Imbalanced class incremental learning system: A task incremental diagnosis method for imbalanced industrial streaming data. - Mingkuan Shi; Chuancang Ding; Changqing Shen; Weiguo Huang; Zhongkui Zhu (Adv. Eng. Informatics, 2024)

Granularity knowledge-sharing supervised contrastive learning framework for long-tailed fault diagnosis of rotating machinery. - Shuyuan Chang; Liyong Wang; Mingkuan Shi; Jinle Zhang; Li Yang (Knowl. Based Syst., 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)

Cross-Domain Class Incremental Broad Network for Continuous Diagnosis of Rotating Machinery Faults Under Variable Operating Conditions. - Mingkuan Shi; Chuancang Ding; Shuyuan Chang; Changqing Shen; Weiguo Huang; Zhongkui Zhu (IEEE Trans. Ind. Informatics, 2024)

Multimetric hypergraph embedding for dimensionality reduction in rotor fault diagnosis. - Yongfei Zhang; Yuqiao Zheng; Rongzhen Zhao; Linfeng Deng; Mingkuan Shi; Pengfei Chen; Kongyuan Wei (Adv. Eng. Informatics, 2025)