Joint 2D-3D Breast Cancer Classification. - Gongbo Liang; Xiaoqin Wang; Yu Zhang 094; Xin Xing 002; Hunter Blanton; Tawfiq Salem; Nathan Jacobs (BIBM, 2019)

2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification. - Yu Zhang 094; Xiaoqin Wang; Hunter Blanton; Gongbo Liang; Xin Xing 002; Nathan Jacobs (BIBM, 2019)

Defense-PointNet: Protecting PointNet Against Adversarial Attacks. - Yu Zhang 094; Gongbo Liang; Tawfiq Salem; Nathan Jacobs (IEEE BigData, 2019)

Improved Trainable Calibration Method for Neural Networks. - Gongbo Liang; Yu Zhang 094; Xiaoqin Wang; Nathan Jacobs (BMVC, 2020)

Weakly-Supervised Self-Training for Breast Cancer Localization*. - Gongbo Liang; Xiaoqin Wang; Yu Zhang 094; Nathan Jacobs (EMBC, 2020)

Multi-Branch Attention Networks for Classifying Galaxy Clusters. - Yu Zhang 094; Gongbo Liang; Yuanyuan Su; Nathan Jacobs (ICPR, 2020)

Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization. - Yu Zhang 094; Gongbo Liang; Nathan Jacobs; Xiaoqin Wang (CoRR, 2020)

Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification. - Gongbo Liang; Yu Zhang 094; Xiaoqin Wang; Nathan Jacobs (CoRR, 2020)

Weakly-Supervised Feature Learning via Text and Image Matching. - Gongbo Liang; Connor Greenwell; Yu Zhang 094; Xiaoqin Wang; Ramakanth Kavuluru; Nathan Jacobs (CoRR, 2020)

Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate. - Gongbo Liang; Yuanyuan Su; Sheng-Chieh Lin; Yu Zhang 094; Yuanyuan Zhang; Nathan Jacobs (CoRR, 2020)

Dynamic Feature Alignment for Semi-supervised Domain Adaptation. - Yu Zhang 094; Gongbo Liang; Nathan Jacobs (BMVC, 2021)

Unifying Guided and Unguided Outdoor Image Synthesis. - Muhammad Usman Rafique; Yu Zhang 094; Benjamin Brodie; Nathan Jacobs (CVPR Workshops, 2021)

Alzheimer's Disease Classification Using 2D Convolutional Neural Networks. - Gongbo Liang; Xin Xing 002; Liangliang Liu 001; Yu Zhang 094; Qi Ying; Ai-Ling Lin; Nathan Jacobs (EMBC, 2021)

AssocFormer: Association Transformer for Multi-label Classification. - Xin Xing 002; Chong Peng; Yu Zhang 094; Ai-Ling Lin; Nathan Jacobs (BMVC, 2022)

Advit: Vision Transformer On Multi-Modality Pet Images For Alzheimer Disease Diagnosis. - Xin Xing 002; Gongbo Liang; Yu Zhang 094; Subash Khanal; Ai-Ling Lin; Nathan Jacobs (ISBI, 2022)

Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging. - Gongbo Liang; Connor Greenwell; Yu Zhang 094; Xin Xing 002; Xiaoqin Wang; Ramakanth Kavuluru; Nathan Jacobs (IEEE J. Biomed. Health Informatics, 2022)

StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation. - Zhexiao Xiong; Feng Qiao; Yu Zhang 094; Nathan Jacobs (BMVC, 2023)

CrossAdapt: Cross-Scene Adaptation for Multi-Domain Depth Estimation. - Yu Zhang 094; Muhammad Usman Rafique; Gordon A. Christie; Nathan Jacobs (IGARSS, 2023)

Crossseg: Cross-Scene Few-Shot Aerial Segmentation Using Probabilistic Prototypes. - Yu Zhang 094; Muhammad Usman Rafique; Nathan Jacobs (IGARSS, 2023)