Chenye Hu

Orcid: 0000-0002-8424-1615

According to our database1, Chenye Hu authored at least 14 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A condition-supervised contrastive autoencoder with dynamic temperature scaling for anomaly detection under multi-condition imbalanced data.
Expert Syst. Appl., 2026

2025
Unified Flowing Normality Learning for Rotating Machinery Anomaly Detection in Continuous Time-Varying Conditions.
IEEE Trans. Cybern., January, 2025

Learning Interpretable and Transferable Representations via Wavelet-Constrained Transformer for Industrial Acoustic Diagnosis.
IEEE Trans. Instrum. Meas., 2025

An Incremental Learning Method With Feature-Attention Distillation and Logit Adjustment for Rotating Machinery Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2025

Normality Aggregation and Abnormality Separation Contrastive Learning for Mechanical Anomaly Detection.
IEEE Trans. Instrum. Meas., 2025

Sequence to sequence network with Bayesian attention and state transition for self-data-driven remaining useful life estimation.
Expert Syst. Appl., 2025

Learning globally ordered and locally consistent degradation representations for remaining useful life prediction.
Adv. Eng. Informatics, 2025

A compound fault diagnosis method based on health state feature decoupling.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025

T2Net: An Attention-Enhanced Network for Trustworthy Thermal Imaging-Based Lubrication System Condition Assessment.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025

2024
WavFormer: An Interpretable Wavelet-Constrained Transformer for Industrial Acoustics Diagnosis.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 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

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


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