1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.IV2022★ 1 cited
Multiscale Autoencoder with Structural-Functional Attention Network for Alzheimer's Disease Prediction
Yongcheng Zong, Changhong Jing, Qiankun Zuo
The application of machine learning algorithms to the diagnosis and analysis of Alzheimer's disease (AD) from multimodal neuroimaging data is a current research hotspot. It remains…
eess.IV2022
Feature-selected Graph Spatial Attention Network for Addictive Brain-Networks Identification
Changwei Gong, Changhong Jing, Junren Pan +1
Functional alterations in the relevant neural circuits occur from drug addiction over a certain period. And these significant alterations are also revealed by analyzing fMRI. Howev…
cs.SI2022
Dynamic Community Detection via Adversarial Temporal Graph Representation Learning
Changwei Gong, Changhong Jing, Yanyan Shen +1
Dynamic community detection has been prospered as a powerful tool for quantifying changes in dynamic brain network connectivity patterns by identifying strongly connected sets of n…