Yaoxiang Yu
Orcid: 0000-0002-0848-5749
According to our database1,
Yaoxiang Yu
authored at least 21 papers
between 2021 and 2024.
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Bibliography
2024
FedCAE: A New Federated Learning Framework for Edge-Cloud Collaboration Based Machine Fault Diagnosis.
IEEE Trans. Ind. Electron., April, 2024
An Analysis Method for Interpretability of Convolutional Neural Network in Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024
Learning multimodal adaptive relation graph and action boost memory for visual navigation.
Adv. Eng. Informatics, 2024
Prefix Tuning for Few-shot Malware Classification with Supervised Contrastive Cross-Entropy Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
Knowl. Based Syst., November, 2023
IEEE Trans. Instrum. Meas., 2023
A degradation-shock dependent competing failure processes based method for remaining useful life prediction of drill bit considering time-shifting sudden failure threshold.
Reliab. Eng. Syst. Saf., 2023
Proceedings of the IEEE International Conference on Software Analysis, 2023
Enhancing Code Search with Token-Level Information Flow Graphs Generated from Aligned Structural and Textual Features.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Capture More Structured Context by Vision Transformers for Free-Hand Sketch Recognition.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023
Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023
Proceedings of the CAA Symposium on Fault Detection, 2023
2022
IEEE Trans. Instrum. Meas., 2022
Reconstruction Domain Adaptation Transfer Network for Partial Transfer Learning of Machinery Fault Diagnostics.
IEEE Trans. Instrum. Meas., 2022
Pareto-Optimal Adaptive Loss Residual Shrinkage Network for Imbalanced Fault Diagnostics of Machines.
IEEE Trans. Ind. Informatics, 2022
Online Remaining Useful Life Prediction of Milling Cutters Based on Multisource Data and Feature Learning.
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Ind. Electron., 2022
Automatically Designing Network-Based Deep Transfer Learning Architectures Based on Genetic Algorithm for In-Situ Tool Condition Monitoring.
IEEE Trans. Ind. Electron., 2022
2021
Control chart recognition based on the parallel model of CNN and LSTM with GA optimization.
Expert Syst. Appl., 2021