6 citations · 11 across the 5 of their papers we have counts for
5 papers
Unrestricted Adversarial Samples Based on Non-semantic Feature Clusters Substitution
MingWei Zhou, Xiaobing Pei
Most current methods generate adversarial examples with the norm specification. As a result, many defense methods utilize this property to eliminate the impact of such attack…
Fine-grained Graph Learning for Multi-view Subspace Clustering
Yidi Wang, Xiaobing Pei, Haoxi Zhan
Multi-view subspace clustering (MSC) is a popular unsupervised method by integrating heterogeneous information to reveal the intrinsic clustering structure hidden across views. Usu…
Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense
Haoxi Zhan, Xiaobing Pei
Graph Neural Networks (GNNs) have received significant attention due to their state-of-the-art performance on various graph representation learning tasks. However, recent studies r…
I-GCN: Robust Graph Convolutional Network via Influence Mechanism
Haoxi Zhan, Xiaobing Pei
Deep learning models for graphs, especially Graph Convolutional Networks (GCNs), have achieved remarkable performance in the task of semi-supervised node classification. However, r…
Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net
He Tang, Xiaobing Pei, Shilong Huang +2
The clinical treatment of degenerative and developmental lumbar spinal stenosis (LSS) is different. Computed tomography (CT) is helpful in distinguishing degenerative and developme…