Yu Zhang

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 23

Top Topics

Domain Adaptation

Email Classification

Calibration Method

Top Venues

Publications

Yu Zhang, Muhammad Usman Rafique, Gordon A. Christie, Nathan Jacobs
CrossAdapt: Cross-Scene Adaptation for Multi-Domain Depth Estimation. IGARSS (2023)
Zhexiao Xiong, Feng Qiao, Yu Zhang, Nathan Jacobs
StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation. BMVC (2023)
Yu Zhang, Muhammad Usman Rafique, Nathan Jacobs
Crossseg: Cross-Scene Few-Shot Aerial Segmentation Using Probabilistic Prototypes. IGARSS (2023)
Zhexiao Xiong, Feng Qiao, Yu Zhang, Nathan Jacobs
StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation. CoRR (2023)
Xin Xing, Gongbo Liang, Yu Zhang, Subash Khanal, Ai-Ling Lin, Nathan Jacobs
Advit: Vision Transformer On Multi-Modality Pet Images For Alzheimer Disease Diagnosis. ISBI (2022)
Gongbo Liang, Connor Greenwell, Yu Zhang, Xin Xing, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs
Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging. IEEE J. Biomed. Health Informatics 26 (4) (2022)
Xin Xing, Chong Peng, Yu Zhang, Ai-Ling Lin, Nathan Jacobs
AssocFormer: Association Transformer for Multi-label Classification. BMVC (2022)
Yu Zhang, Gongbo Liang, Nathan Jacobs
Dynamic Feature Alignment for Semi-supervised Domain Adaptation. BMVC (2021)
Muhammad Usman Rafique, Yu Zhang, Benjamin Brodie, Nathan Jacobs
Unifying Guided and Unguided Outdoor Image Synthesis. CVPR Workshops (2021)
Yu Zhang, Gongbo Liang, Nathan Jacobs
Dynamic Feature Alignment for Semi-supervised Domain Adaptation. CoRR (2021)
Yu Zhang, Gongbo Liang, Tawfiq Salem, Nathan Jacobs
Defense-PointNet: Protecting PointNet Against Adversarial Attacks. CoRR (2020)
Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification. CoRR (2020)
Gongbo Liang, Yu Zhang, Xiaoqin Wang, Nathan Jacobs
Improved Trainable Calibration Method for Neural Networks. BMVC (2020)
Gongbo Liang, Connor Greenwell, Yu Zhang, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs
Weakly-Supervised Feature Learning via Text and Image Matching. CoRR (2020)
Gongbo Liang, Yu Zhang, Xiaoqin Wang, Nathan Jacobs
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification. CoRR (2020)
Yu Zhang, Gongbo Liang, Nathan Jacobs, Xiaoqin Wang
Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization. CoRR (2020)
Gongbo Liang, Yuanyuan Su, Sheng-Chieh Lin, Yu Zhang, Yuanyuan Zhang, Nathan Jacobs
Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate. CoRR (2020)
Yu Zhang, Gongbo Liang, Yuanyuan Su, Nathan Jacobs
Multi-Branch Attention Networks for Classifying Galaxy Clusters. ICPR (2020)
Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs
Joint 2D-3D Breast Cancer Classification. CoRR (2020)
Gongbo Liang, Xiaoqin Wang, Yu Zhang, Nathan Jacobs
. EMBC (2020)
Yu Zhang, Gongbo Liang, Tawfiq Salem, Nathan Jacobs
Defense-PointNet: Protecting PointNet Against Adversarial Attacks. IEEE BigData (2019)
Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs
Joint 2D-3D Breast Cancer Classification. BIBM (2019)
Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification. BIBM (2019)