Sixiang Jia
Orcid: 0000-0001-8207-1045
According to our database1,
Sixiang Jia
authored at least 14 papers
between 2020 and 2025.
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Bibliography
2025
Deep learning radiomics of left atrial appendage features for predicting atrial fibrillation recurrence.
BMC Medical Imaging, December, 2025
Lifting wavelet-informed hierarchical domain adaptation network: An interpretable digital twin-driven gearbox fault diagnosis method.
Reliab. Eng. Syst. Saf., 2025
Multiple classifiers inconsistency-based deep adversarial domain generalization method for cross-condition fault diagnosis in rotating systems.
Reliab. Eng. Syst. Saf., 2025
Graph isomorphism wavelet convolutional networks for small-sample fault diagnosis of rotating machinery using multi-sensor information fusion.
Expert Syst. Appl., 2025
2024
A Rotating Machinery Fault Diagnosis Method Based on Dynamic Graph Convolution Network and Hard Threshold Denoising.
Sensors, August, 2024
Physics-inspired multimodal machine learning for adaptive correlation fusion based rotating machinery fault diagnosis.
Inf. Fusion, 2024
2023
Non-contact diagnosis for gearbox based on the fusion of multi-sensor heterogeneous data.
Inf. Fusion, June, 2023
Transferable dynamic enhanced cost-sensitive network for cross-domain intelligent diagnosis of rotating machinery under imbalanced datasets.
Eng. Appl. Artif. Intell., 2023
2022
Partial Domain Adaptation Method Based on Class-Weighted Alignment for Fault Diagnosis of Rotating Machinery.
IEEE Trans. Instrum. Meas., 2022
Partial Transfer Ensemble Learning Framework: A Method for Intelligent Diagnosis of Rotating Machinery Based on an Incomplete Source Domain.
Sensors, 2022
2021
A Weighted Subdomain Adaptation Network for Partial Transfer Fault Diagnosis of Rotating Machinery.
Entropy, 2021
2020
A Novel Transfer Learning Method for Fault Diagnosis Using Maximum Classifier Discrepancy With Marginal Probability Distribution Adaptation.
IEEE Access, 2020
Research and Application of Regularized Sparse Filtering Model for Intelligent Fault Diagnosis Under Large Speed Fluctuation.
IEEE Access, 2020
Data-Enhanced Stacked Autoencoders for Insufficient Fault Classification of Machinery and its Understanding via Visualization.
IEEE Access, 2020