38 citations · 53 across the 6 of their papers we have counts for
6 papers
Physics-Driven Spectrum-Consistent Federated Learning for Palmprint Verification
Ziyuan Yang, Andrew Beng Jin Teoh, Bob Zhang +2
Palmprint as biometrics has gained increasing attention recently due to its discriminative ability and robustness. However, existing methods mainly improve palmprint verification w…
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation
Yingyu Chen, Ziyuan Yang, Chenyu Shen +3
Recently, uncertainty-aware methods have attracted increasing attention in semi-supervised medical image segmentation. However, current methods usually suffer from the drawback tha…
(Re)H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning
Haoyi Niu, Kun Ren, Yizhou Xu +4
Autonomous driving and its widespread adoption have long held tremendous promise. Nevertheless, without a trustworthy and thorough testing procedure, not only does the industry str…
Robust Split Federated Learning for U-shaped Medical Image Networks
Ziyuan Yang, Yingyu Chen, Huijie Huangfu +4
U-shaped networks are widely used in various medical image tasks, such as segmentation, restoration and reconstruction, but most of them usually rely on centralized learning and th…
SOUL-Net: A Sparse and Low-Rank Unrolling Network for Spectral CT Image Reconstruction
Xiang Chen, Wenjun Xia, Ziyuan Yang +4
Spectral computed tomography (CT) is an emerging technology, that generates a multienergy attenuation map for the interior of an object and extends the traditional image volume int…
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging
Ziyuan Yang, Wenjun Xia, Zexin Lu +3
Computed tomography (CT) is of great importance in clinical practice due to its powerful ability to provide patients' anatomical information without any invasive inspection, but it…