Synopsis of recent research by authors named "Qumei Cao"
- Qumei Cao's recent research focuses on developing advanced graph-based models for predicting individual behavior from brain imaging data, emphasizing the role of functional connectivity (FC) in understanding neural interactions.
- In the article "D-MHGCN," Cao introduces an end-to-end model leveraging dual multi-hop graph convolutional networks to enhance predictive performance by addressing the quality of individual network construction.
- The work in "Multi-Scale FC-Based Multi-Order GCN" further explores the use of graph convolutional networks to capture complex relationships within FC data, highlighting their effectiveness in applications like disease classification and prognosis prediction in neuroscience.