Zuoyi Chen

Orcid: 0000-0001-7975-964X

According to our database1, Zuoyi Chen authored at least 13 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Spatiotemporal graph structure similarity evaluation for pure zero-shot anomaly detection tasks.
Knowl. Based Syst., 2026

Decoupling intrinsic category features from domain variations for machine fault diagnosis under unknown operating conditions.
Adv. Eng. Informatics, 2026

2025
Manifold transfer and ensemble filter strategy for axial piston pump fault diagnosis under varied pressure pulsation.
Appl. Intell., December, 2025

A Cross-Domain Online Diagnosis Framework Under Small Fault Sample.
IEEE Trans. Instrum. Meas., 2025

Pseudo-fault data enhanced relation network for fault detection and localization in train transmission systems.
Eng. Appl. Artif. Intell., 2025

Zero-faulty sample machinery fault detection via relation network with out-of-distribution data augmentation.
Eng. Appl. Artif. Intell., 2025

2023
Deep Attention Relation Network: A Zero-Shot Learning Method for Bearing Fault Diagnosis Under Unknown Domains.
IEEE Trans. Reliab., March, 2023

Deep convolutional transfer learning-based structural damage detection with domain adaptation.
Appl. Intell., March, 2023

Relational Conduction Graph Network for Intelligent Fault Diagnosis of Rotating Machines Under Small Fault Samples.
IEEE Trans. Instrum. Meas., 2023

Residual shrinkage transformer relation network for intelligent fault detection of industrial robot with zero-fault samples.
Knowl. Based Syst., 2023

2022
Wide Residual Relation Network-Based Intelligent Fault Diagnosis of Rotating Machines with Small Samples.
Sensors, 2022

2021
Convolutional Neural Network-Based Bayesian Gaussian Mixture for Intelligent Fault Diagnosis of Rotating Machinery.
IEEE Trans. Instrum. Meas., 2021

Sensor data-driven structural damage detection based on deep convolutional neural networks and continuous wavelet transform.
Appl. Intell., 2021


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