Jiusi Zhang

Orcid: 0000-0001-7971-680X

According to our database1, Jiusi Zhang authored at least 25 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
An Integrated Multitasking Intelligent Bearing Fault Diagnosis Scheme Based on Representation Learning Under Imbalanced Sample Condition.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

SIR-Aided Secure Transmission and Attack Detection for Security Management of Nonlinear Cyber-Physical System Using GRU Autoencoder.
IEEE Trans. Ind. Informatics, April, 2024

A novel generalized source-free domain adaptation approach for cross-domain industrial fault diagnosis.
Reliab. Eng. Syst. Saf., March, 2024

A novel data augmentation approach to fault diagnosis with class-imbalance problem.
Reliab. Eng. Syst. Saf., March, 2024

FDGR-Net: Feature Decouple and Gated Recalibration Network for medical image landmark detection.
Expert Syst. Appl., March, 2024

A Data-Model Interactive Remaining Useful Life Prediction Approach of Lithium-Ion Batteries Based on PF-BiGRU-TSAM.
IEEE Trans. Ind. Informatics, February, 2024

Multi-hop graph pooling adversarial network for cross-domain remaining useful life prediction: A distributed federated learning perspective.
Reliab. Eng. Syst. Saf., 2024

Cold SegDiffusion: A novel diffusion model for medical image segmentation.
Knowl. Based Syst., 2024

TDF-Net: Trusted Dynamic Feature Fusion Network for breast cancer diagnosis using incomplete multimodal ultrasound.
Inf. Fusion, 2024

A Feature Extraction and Analysis Method for Battery Health Monitoring.
Proceedings of the 33rd IEEE International Symposium on Industrial Electronics, 2024

A Data-Driven Two-Stage Dynamometer Diagram Inference Approach for Variable Operational Conditions in Pumping Machines.
Proceedings of the 7th IEEE International Conference on Industrial Cyber-Physical Systems, 2024

2023
Subspace-Aided Sensor Fault Diagnosis and Compensation for Industrial Systems.
IEEE Trans. Ind. Electron., September, 2023

An integrated multi-head dual sparse self-attention network for remaining useful life prediction.
Reliab. Eng. Syst. Saf., May, 2023

SDMT: Spatial Dependence Multi-Task Transformer Network for 3D Knee MRI Segmentation and Landmark Localization.
IEEE Trans. Medical Imaging, 2023

A Parallel Hybrid Neural Network With Integration of Spatial and Temporal Features for Remaining Useful Life Prediction in Prognostics.
IEEE Trans. Instrum. Meas., 2023

A Novel Transfer Ensemble Learning Framework for Remaining Useful Life Prediction Under Multiple Working Conditions.
IEEE Trans. Instrum. Meas., 2023

A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition.
Reliab. Eng. Syst. Saf., 2023

2022
RAGCN: Region Aggregation Graph Convolutional Network for Bone Age Assessment From X-Ray Images.
IEEE Trans. Instrum. Meas., 2022

Prediction of remaining useful life based on bidirectional gated recurrent unit with temporal self-attention mechanism.
Reliab. Eng. Syst. Saf., 2022

An adaptive remaining useful life prediction approach for single battery with unlabeled small sample data and parameter uncertainty.
Reliab. Eng. Syst. Saf., 2022

An integrated data-driven scheme for the defense of typical cyber-physical attacks.
Reliab. Eng. Syst. Saf., 2022

Explainable multi-instance and multi-task learning for COVID-19 diagnosis and lesion segmentation in CT images.
Knowl. Based Syst., 2022

Lesion-attention pyramid network for diabetic retinopathy grading.
Artif. Intell. Medicine, 2022

Random Forest Regression for Battery State-of-Health Estimation Based on Unsupervised Transfer Component Analysis Domain Adaptation.
Proceedings of the IEEE International Conference on Industrial Technology, 2022

2020
A Data-Driven Fault Diagnosis Approach for Anemometers in Wind Farm.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020


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