3 papers
cs.LG2023
TCGF: A unified tensorized consensus graph framework for multi-view representation learning
Xiangzhu Meng, Wei Wei, Qiang Liu +2
Multi-view learning techniques have recently gained significant attention in the machine learning domain for their ability to leverage consistency and complementary information acr…
cs.AI2023
TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging Analysis
Xiangzhu Meng, Wei Wei, Qiang Liu +2
In recent years, functional magnetic resonance imaging has emerged as a powerful tool for investigating the human brain's functional connectivity networks. Related studies demonstr…
eess.IV2023
CvFormer: Cross-view transFormers with Pre-training for fMRI Analysis of Human Brain
Xiangzhu Meng, Qiang Liu, Shu Wu +1
In recent years, functional magnetic resonance imaging (fMRI) has been widely utilized to diagnose neurological disease, by exploiting the region of interest (RoI) nodes as well as…