Jingyao Wu

Orcid: 0000-0002-9968-8348

Affiliations:
  • Xi'an Jiaotong University, School of Mechanical Engineering, China


According to our database1, Jingyao Wu authored at least 12 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

2020
2021
2022
2023
2024
2025
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Legend:

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Links

Online presence:

On csauthors.net:

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

Aircraft flight regime recognition with deep temporal segmentation neural network.
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


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