Xiangkai Shen
Orcid: 0000-0003-3164-2156
According to our database1,
Xiangkai Shen
authored at least 14 papers
between 2022 and 2025.
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Bibliography
2025
A Masked Multi-View Bidirectional Network for Class Extremely Imbalanced Object Detection Under Magnetic Flux Leakage Signals.
IEEE Trans Autom. Sci. Eng., 2025
Mutual Supervision of MFL Heterogeneous Signals for Insufficient Sample Defect Detection on Pipeline Safety Operation.
IEEE Trans Autom. Sci. Eng., 2025
2024
IEEE Trans. Neural Networks Learn. Syst., November, 2024
Irregular Defect Size Estimation for the Magnetic Flux Leakage Detection System via Expertise-Informed Collaborative Network.
IEEE Trans. Ind. Electron., October, 2024
A Novel Weld Defect Detection Method for Intelligent Magnetic Flux Leakage Detection System via Contextual Relation Network.
IEEE Trans. Ind. Electron., June, 2024
IEEE Trans Autom. Sci. Eng., April, 2024
DGICR-Net: Dual-Graph Interactive Consistency Reasoning Network for Weld Defect Recognition With Limited Labeled Samples.
IEEE Trans. Instrum. Meas., 2024
2023
SSCT-Net: A Semisupervised Circular Teacher Network for Defect Detection With Limited Labeled Multiview MFL Samples.
IEEE Trans. Ind. Informatics, October, 2023
An Intelligent Defect Detection Approach Based on Cascade Attention Network Under Complex Magnetic Flux Leakage Signals.
IEEE Trans. Ind. Electron., July, 2023
A MFL Mechanism-Based Self-Supervised Method for Defect Detection With Limited Labeled Samples.
IEEE Trans. Instrum. Meas., 2023
Pipeline Irregular Defect Inversion for Magnetic Flux Leakage Detection System Based on Heterogeneous Multiclass Feature Fusion.
IEEE Trans. Instrum. Meas., 2023
2022
THMS-Net: A Two-Stage Heterogeneous Signals Mutual Supervision Network for MFL Weak Defect Detection.
IEEE Trans. Instrum. Meas., 2022
A Multisensor Cycle-Supervised Convolutional Neural Network for Anomaly Detection on Magnetic Flux Leakage Signals.
IEEE Trans. Ind. Informatics, 2022
Anomaly detection of industrial multi-sensor signals based on enhanced spatiotemporal features.
Neural Comput. Appl., 2022