4 papers
Position: AI for Science Should Treat Measurement-to-Dataset Pipelines as Inference Components
Ling Zhan, Xiaoyao Yu, Tao Jia
AI for Science (AI4Science) workflows often treat the released dataset as a fixed interface to the underlying system. However, in domains relying on \emph{indirect observation}, th…
Accelerating Benchmarking of Functional Connectivity Modeling via Structure-aware Core-set Selection
Ling Zhan, Zhen Li, Junjie Huang +1
Benchmarking the hundreds of functional connectivity (FC) modeling methods on large-scale fMRI datasets is critical for reproducible neuroscience. However, the combinatorial explos…
Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints
Ling Zhan, Junjie Huang, Xiaoyao Yu +2
Functional brain network (FBN) modeling often relies on local pairwise interactions, whose limitation in capturing high-order dependencies is theoretically analyzed in this paper.…
Quantifying sex differences in brain network topology by aggregating nodal centrality rankings
Wenyu Chen, Ling Zhan, Yunsong Luo +2
Although numerous studies report significant sex differences in functional connectivity, these differences do not sufficient to reveal specific functional disparities among brain r…