Wenbing Zhu
Orcid: 0000-0001-5762-1594
According to our database1,
Wenbing Zhu
authored at least 20 papers
between 2015 and 2024.
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Bibliography
2024
Multi-class multi-label classification of social media texts for typhoon damage assessment: a two-stage model fully integrating the outputs of the hidden layers of BERT.
Int. J. Digit. Earth, December, 2024
DualAnoDiff: Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Leveraging Fine-Grained Information and Noise Decoupling for Remote Sensing Change Detection.
CoRR, 2024
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection.
CoRR, 2024
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Detection of Pilot's Mental Workload Using a Wireless EEG Headset in Airfield Traffic Pattern Tasks.
Entropy, July, 2023
Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Recognition of Pilot Mental workload in the Simulation Operation of Carrier-based Aircraft Using the Portable EEG.
Proceedings of the 3rd International Conference on Human Machine Interaction, 2023
MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Recognition of Transformer High Frequency Partial Discharge Based on Time Domain Feature.
Proceedings of the 24th International Conference on Advanced Communication Technology, 2022
2020
Few-Shot Defect Segmentation Leveraging Abundant Normal Training Samples Through Normal Background Regularization and Crop-and-Paste Operation.
CoRR, 2020
2019
An Improved Bayesian Integrated ICA Approach for Control Loop Diagnosis with Small Sample Size.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2019
2016
Proceedings of the 11th System of Systems Engineering Conference, 2016
Integrating principal component analysis and optimal histogram estimation for Bayesian control loop diagnosis.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2016
2015
Bayesian Fault Diagnosis Using Principal Component Analysis Approach with Continuous Evidence.
Proceedings of the Information Technology and Intelligent Transportation Systems, 2015