6 papers
On the Adversarial Robustness of LASSO Based Feature Selection
Fuwei Li, Lifeng Lai, Shuguang Cui
In this paper, we investigate the adversarial robustness of feature selection based on the regularized linear regression model, namely LASSO. In the considered model, ther…
From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation
Songyang Zhang, Han Zhang, Shuguang Cui +1
Graph convolutional networks (GCN) have been recently utilized to extract the underlying structures of datasets with some labeled data and high-dimensional features. Existing GCNs…
Hypergraph Spectral Analysis and Processing in 3D Point Cloud
Songyang Zhang, Shuguang Cui, Zhi Ding
Along with increasingly popular virtual reality applications, the three-dimensional (3D) point cloud has become a fundamental data structure to characterize 3D objects and surround…
Point Cloud Segmentation based on Hypergraph Spectral Clustering
Songyang Zhang, Shuguang Cui, Zhi Ding
Hypergraph spectral analysis has emerged as an effective tool processing complex data structures in data analysis. The surface of a three-dimensional (3D) point cloud and the multi…
On the Adversarial Robustness of Subspace Learning
Fuwei Li, Lifeng Lai, Shuguang Cui
In this paper, we study the adversarial robustness of subspace learning problems. Different from the assumptions made in existing work on robust subspace learning where data sample…
Introducing Hypergraph Signal Processing: Theoretical Foundation and Practical Applications
Songyang Zhang, Zhi Ding, Shuguang Cui
Signal processing over graphs has recently attracted significant attentions for dealing with structured data. Normal graphs, however, only model pairwise relationships between node…