Jingyao Wu
Orcid: 0000-0002-9968-8348Affiliations:
- Xi'an Jiaotong University, School of Mechanical Engineering, China
According to our database1,
Jingyao Wu
authored at least 12 papers
between 2020 and 2025.
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Bibliography
2025
Unified Flowing Normality Learning for Rotating Machinery Anomaly Detection in Continuous Time-Varying Conditions.
IEEE Trans. Cybern., January, 2025
Normality Aggregation and Abnormality Separation Contrastive Learning for Mechanical Anomaly Detection.
IEEE Trans. Instrum. Meas., 2025
2024
Information-Imbalance Learning With Hazard-Sensitive Loss for Machine Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024
NorCLR: A Normality-Aggregated Contrastive Learning Framework for Mechanical Anomaly Detection.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024
2023
Intelligent temporal detection network for boundary-sensitive flight regime recognition.
Eng. Appl. Artif. Intell., November, 2023
Global Prior Transformer Network in Intelligent Borescope Inspection for Surface Damage Detection of Aeroengine Blade.
IEEE Trans. Ind. Informatics, August, 2023
Interinstance and Intratemporal Self-Supervised Learning With Few Labeled Data for Fault Diagnosis.
IEEE Trans. Ind. Informatics, May, 2023
Eng. Appl. Artif. Intell., April, 2023
2021
Learning from Class-imbalanced Data with a Model-Agnostic Framework for Machine Intelligent Diagnosis.
Reliab. Eng. Syst. Saf., 2021
Machine Anomaly Detection under Changing Working Condition with Syncretic Self-Regression Auto-Encoder.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021
2020
Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection.
IEEE Trans. Ind. Informatics, 2020
Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study.
CoRR, 2020