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个人信息Personal Information
副教授
教师拼音名称：Zhao Chao
电子邮箱：
入职时间：2025-04-15
学历：博士研究生毕业
学位：博士
在职信息：在职
毕业院校：华中科技大学
所属院系：机械工程与自动化学院
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- C. Zhao, W. Shen, E Zio, H Ma, Environment-Aware graph relational reasoning for interpretable and generalizable mechanical transmission system distributed fault diagnosis, Expert Systems with Applications. (2025). (影响因子: 7.5, 中科院1区Top) .
- C. Zhao, W. Shen, E Zio, H Ma, Multimodal unified generalization and translation network for intelligent fault diagnosis under dynamic environments, Engineering Applications of Artificial Intelligence. (2025). (影响因子: 8, 中科院1区Top) .
- C. Zhao, E Zio, W. Shen, Domain Generalization for Cross-Domain Fault Diagnosis: an Application-oriented Perspective and a Benchmark Study, Reliability Engineering and System Safety. (2024). (ESI热点/高被引论文，中科院1区Top).
- C. Zhao, W. Shen, Adversarial Mutual Information-Guided Single Domain Generalization Network for Intelligent Fault Diagnosis, IEEE Transactions on Industrial Informatics. (2022). (ESI 高被引论文，中科院1区Top).
- C. Zhao, W. Shen, Dual Adversarial Network for Cross-Domain Open Set Fault Diagnosis, Reliability Engineering and System Safety. (2022). (ESI 高被引论文，中科院1区Top).
- C. Zhao, W. Shen, A domain generalization network combing invariance and specificity towards real-time intelligent fault diagnosis, Mechanical Systems and Signal Processing. (2022). (ESI 高被引论文，中科院1区Top).
- C. Zhao, G. Liu, W. Shen, A balanced and weighted alignment network for partial transfer fault diagnosis, ISA Transactions. (2022). (影响因子: 5.911，中科院2区Top) .
- C. Zhao, W. Shen, A federated distillation domain generalization framework for machinery fault diagnosis with data privacy, Engineering Applications of Artificial Intelligence. (2024). (影响因子: 8,中科院1区Top) .
- C. Zhao, W. Shen, Adaptive open set domain generalization network : Learning to diagnose unknown faults under unknown working conditions, Reliability Engineering and System Safety. (2022). (影响因子: 7.247, 中科院1区Top) .
- C. Zhao, W. Shen, Imbalanced domain generalization via Semantic-Discriminative augmentation for intelligent fault diagnosis, Advanced Engineering Informatics. (2024). (影响因子: 8.8，中科院1区Top) .