Mingkuan Shi

14 papers Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Joint embedding for multi-structural hypergraph based dimensionality reduction in rotor fault diagnosis.
Eng. Appl. Artif. Intell.
Yongfei Zhang, Qibo Liang, Yuqiao Zheng, Rongzhen Zhao, Linfeng Deng, Mingkuan Shi, Pengfei Chen, Kongyuan Wei
2025 J jnl
Class-aware quantitative adversarial network: a novel partial-set transfer mechanism for cross-domain fault diagnosis of rotating machinery.
Knowl. Based Syst.
Yanlin Zhou, Chuancang Ding, Mingkuan Shi, Hongbo Que, Yifan Huangfu, Changqing Shen, Weiguo Huang, Zhongkui Zhu
2025 J jnl
Multi-source contrastive cluster center method for cross-domain bearing fault identification.
Eng. Appl. Artif. Intell.
Pengfei Chen, Lizhen Wu, Rongzhen Zhao, Kongyuan Wei, Yuqiao Zheng, Linfeng Deng, Yongfei Zhang, Mingkuan Shi, Zhuo Chen
2025 J jnl
Multimetric hypergraph embedding for dimensionality reduction in rotor fault diagnosis.
Adv. Eng. Informatics
Yongfei Zhang, Yuqiao Zheng, Rongzhen Zhao, Linfeng Deng, Mingkuan Shi, Pengfei Chen, Kongyuan Wei
2024 J jnl
Cross-Domain Class Incremental Broad Network for Continuous Diagnosis of Rotating Machinery Faults Under Variable Operating Conditions.
IEEE Trans. Ind. Informatics
Mingkuan Shi, Chuancang Ding, Shuyuan Chang, Changqing Shen, Weiguo Huang, Zhongkui Zhu
2024 J jnl
Extended attention signal transformer with adaptive class imbalance loss for Long-tailed intelligent fault diagnosis of rotating machinery.
Adv. Eng. Informatics
Shuyuan Chang, Liyong Wang, Mingkuan Shi, Jinle Zhang, Li Yang, Lingli Cui
2024 J jnl
Granularity knowledge-sharing supervised contrastive learning framework for long-tailed fault diagnosis of rotating machinery.
Knowl. Based Syst.
Shuyuan Chang, Liyong Wang, Mingkuan Shi, Jinle Zhang, Li Yang
2024 J jnl
Imbalanced class incremental learning system: A task incremental diagnosis method for imbalanced industrial streaming data.
Adv. Eng. Informatics
Mingkuan Shi, Chuancang Ding, Changqing Shen, Weiguo Huang, Zhongkui Zhu
2024 J jnl
Semi-supervised class incremental broad network for continuous diagnosis of rotating machinery faults with limited labeled samples.
Knowl. Based Syst.
Mingkuan Shi, Chuancang Ding, Rui Wang, Changqing Shen, Weiguo Huang, Zhongkui Zhu
2023 J jnl
Cross-domain privacy-preserving broad network for fault diagnosis of rotating machinery.
Adv. Eng. Informatics
Mingkuan Shi, Chuancang Ding, Shuyuan Chang, Rui Wang, Weiguo Huang, Zhongkui Zhu
2023 J jnl
Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis.
Knowl. Based Syst.
Mingkuan Shi, Chuancang Ding, Rui Wang, Qiuyu Song, Changqing Shen, Weiguo Huang, Zhongkui Zhu
2023 J jnl
Graph embedding deep broad learning system for data imbalance fault diagnosis of rotating machinery.
Reliab. Eng. Syst. Saf.
Mingkuan Shi, Chuancang Ding, Rui Wang, Changqing Shen, Weiguo Huang, Zhongkui Zhu
2022 J jnl
Federated adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy.
Knowl. Based Syst.
Rui Wang, Weiguo Huang, Mingkuan Shi, Jun Wang, Changqing Shen, Zhongkui Zhu
2021 J jnl
Intelligent fault diagnosis of rolling bearings using a semi-supervised convolutional neural network.
Appl. Intell.
Yaochun Wu, Rongzhen Zhao, Wuyin Jin, Tianjing He, Sencai Ma, Mingkuan Shi