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Yu Zhang
Yu Zhang
Machine Learning Engineer @ Bastian Solutions, a Toyota Advanced Logistics company
Verified email at uky.edu - Homepage
Title
Cited by
Cited by
Year
Inconsistent performance of deep learning models on mammogram classification
X Wang, G Liang, Y Zhang, H Blanton, Z Bessinger, N Jacobs
Journal of the American College of Radiology 17 (6), 796-803, 2020
1332020
Improved trainable calibration method for neural networks on medical imaging classification
G Liang, Y Zhang, X Wang, N Jacobs
BMVC 2020, 2020
582020
Joint 2D-3D Breast Cancer Classification
G Liang, X Wang, Y Zhang, X Xing, H Blanton, T Salem, N Jacobs
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
372019
A deep learning view of the census of galaxy clusters in IllustrisTNG
Y Su, Y Zhang, G Liang, JA ZuHone, DJ Barnes, NB Jacobs, M Ntampaka, ...
Monthly Notices of the Royal Astronomical Society 498 (4), 5620-5628, 2020
302020
2d convolutional neural networks for 3d digital breast tomosynthesis classification
Y Zhang, X Wang, H Blanton, G Liang, X Xing, N Jacobs
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
292019
Defense-PointNet: Protecting PointNet Against Adversarial Attacks
Y Zhang, G Liang, T Salem, N Jacobs
2019 IEEE International Conference on Big Data (Big Data), 5654-5660, 2019
272019
Weakly-Supervised Self-Training for Breast Cancer Localization*
G Liang, X Wang, Y Zhang, N Jacobs
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
242020
ADViT: Vision Transformer on Multi-modality PET Images for Alzheimer Disease Diagnosis
Xin Xing, Gongbo Liang, Yu Zhang, Subash Khanal, Ai-Ling Lin, Nathan Jacobs
IEEE International Symposium on Biomedical Imaging (ISBI), 2022
162022
Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging
G Liang, C Greenwell, Y Zhang, X Xing, X Wang, R Kavuluru, N Jacobs
IEEE Journal of Biomedical and Health Informatics, 2021
152021
Efficient Training on Alzheimer’s Disease Diagnosis with Learnable Weighted Pooling for 3D PET Brain Image Classification
X Xing, MU Rafique, G Liang, H Blanton, Y Zhang, C Wang, N Jacobs, ...
Electronics 12 (2), 467, 2023
102023
Dynamic Feature Alignment for Semi-supervised Domain Adaptation
Y Zhang, G Liang, N Jacobs
BMVC 2021, 2021
102021
Estimating Cluster Masses from SDSS Multi-band Images with Transfer Learning
Sheng-Chieh Lin, Yuanyuan Su, Gongbo Liang, Yuanyuan Zhang, Nathan Jacobs ...
Monthly Notices of the Royal Astronomical Society (MNRAS), 2022
8*2022
Neural Network Calibration for Medical Imaging Classification Using DCA Regularization
G Liang, Y Zhang, N Jacobs
ICML workshop on Uncertainty and Robustness in Deep Learning (UDL), 2020
52020
Multi-branch attention networks for classifying galaxy clusters
Y Zhang, G Liang, Y Su, N Jacobs
2020 25th International Conference on Pattern Recognition (ICPR), 9643-9649, 2021
42021
Unifying Guided and Unguided Outdoor Image Synthesis
MU Rafique, Y Zhang, B Brodie, N Jacobs
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
22021
StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation
Z Xiong, F Qiao, Y Zhang, N Jacobs
arXiv preprint arXiv:2309.01842, 2023
12023
CrossAdapt: Cross-Scene Adaptation for Multi-Domain Depth Estimation
Y Zhang, MU Rafique, G Christie, N Jacobs
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023
12023
AssocFormer: Association Transformer on Multi-label Classification
X Xing, C Peng, Y Zhang, AL Lin, N Jacobs
British Machine Vision Conference (BMVC), 2022
12022
Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate
G Liang, Y Su, SC Lin, Y Zhang, Y Zhang, N Jacobs
NeurIPS Workshop : Machine Learning and Physical Sciences, 2020, 2020
12020
Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization
Y Zhang, G Liang, N Jacobs, X Wang
2019 Conference on Machine Intelligence in Medical Imaging (C-MIMI), 2019
12019
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Articles 1–20