activity
20192024
most citedIntroducing Hypergraph Signal Processing: Theoretical Foundation and Practical Applications

74 citations · 182 across the 17 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 1 cited

Hyperspectral Image Segmentation based on Graph Processing over Multilayer Networks

Songyang Zhang, Qinwen Deng, Zhi Ding

Hyperspectral imaging is an important sensing technology with broad applications and impact in areas including environmental science, weather, and geo/space exploration. One import…

eess.SP2021★ 2 cited

Image Processing via Multilayer Graph Spectra

Songyang Zhang, Qinwen Deng, Zhi Ding

Graph signal processing (GSP) has become an important tool in image processing because of its ability to reveal underlying data structures. Many real-life multimedia datasets, howe…

eess.SP2021★ 1 cited

Signal Processing over Multilayer Graphs: Theoretical Foundations and Practical Applications

Songyang Zhang, Qinwen Deng, Zhi Ding

Signal processing over single-layer graphs has become a mainstream tool owing to its power in revealing obscure underlying structures within data signals. However, many real-life d…

cs.CV2021★ 20 cited

An Efficient Hypergraph Approach to Robust Point Cloud Resampling

Qinwen Deng, Songyang Zhang, Zhi Ding

Efficient processing and feature extraction of largescale point clouds are important in related computer vision and cyber-physical systems. This work investigates point cloud resam…

eess.SP2021★ 8 cited

Point Cloud Resampling Through Hypergraph Signal Processing

Qinwen Deng, Songyang Zhang, Zhi Ding

Three-dimensional (3D) point clouds are important data representations in visualization applications. The rapidly growing utility and popularity of point cloud processing strongly…