Yu Zhang

Orcid: 0000-0002-4989-0441

Affiliations:

University of Kentucky, Department of Computer Science, Lexington, KY, USA

According to our database¹, Yu Zhang authored at least 19 papers between 2019 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Article

PhD thesis

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Bibliography

2023

Crossseg: Cross-Scene Few-Shot Aerial Segmentation Using Probabilistic Prototypes.

[BibT_eX]

[DOI]

Yu Zhang

Muhammad Usman Rafique

Nathan Jacobs

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

CrossAdapt: Cross-Scene Adaptation for Multi-Domain Depth Estimation.

[BibT_eX]

[DOI]

Yu Zhang

Muhammad Usman Rafique

Gordon A. Christie

Nathan Jacobs

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

Advit: Vision Transformer On Multi-Modality Pet Images For Alzheimer Disease Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

AssocFormer: Association Transformer for Multi-label Classification.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Alzheimer's Disease Classification Using 2D Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Unifying Guided and Unguided Outdoor Image Synthesis.

[BibT_eX]

[DOI]

Muhammad Usman Rafique

Yu Zhang

Benjamin Brodie

Nathan Jacobs

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Dynamic Feature Alignment for Semi-supervised Domain Adaptation.

[BibT_eX]

[DOI]

Yu Zhang

Gongbo Liang

Nathan Jacobs

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate.

[BibT_eX]

[DOI]

CoRR, 2020

Weakly-Supervised Feature Learning via Text and Image Matching.

[BibT_eX]

[DOI]

CoRR, 2020

Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification.

[BibT_eX]

[DOI]

CoRR, 2020

Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-Branch Attention Networks for Classifying Galaxy Clusters.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Weakly-Supervised Self-Training for Breast Cancer Localization<sup>*</sup>.

[BibT_eX]

[DOI]

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Improved Trainable Calibration Method for Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Defense-PointNet: Protecting PointNet Against Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Joint 2D-3D Breast Cancer Classification.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Yu Zhang

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