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20242026
most citedCorrelation of Correlation Networks: High-Order Interactions in the Topology of Brain Networks

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

MSR-IVA: Masked Structural Residual Independent Vector Analysis for State-Aware Fusion of Structural MRI and Dynamic Functional Network Connectivity

Victor Solomon, Zening Fu, Rafal Angryk +2

Multimodal fusion of structural MRI (sMRI) and dynamic functional network connectivity (dFNC) can reveal how brain structure relates to changing functional states. When the same st…

cs.LG2026

Isolating Nonlinear Independent Sources in fMRI with -TCVAE Models

Qiang Li, Shujian Yu, Jesus Malo +3

Learning meaningful latent representations from nonlinear fMRI data remains a fundamental challenge in neuroimaging analysis. Traditional independent component analysis, widely use…

math.ST2026

Sequential Multiple Testing: A Second-Order Asymptotic Analysis

Jingyu Liu, Yanglei Song

We study sequential multiple testing with independent data streams, where the goal is to identify an unknown subset of signals while controlling commonly used error metrics, includ…

stat.ME2025

Deep Deterministic Nonlinear ICA via Total Correlation Minimization with Matrix-Based Entropy Functional

Qiang Li, Shujian Yu, Liang Ma +4

Blind source separation, particularly through independent component analysis (ICA), is widely utilized across various signal processing domains for disentangling underlying compone…

q-bio.NC2024★ 1 cited

Correlation of Correlation Networks: High-Order Interactions in the Topology of Brain Networks

Qiang Li, Jingyu Liu, Vince D. Calhoun

To understand collective network behavior in the complex human brain, pairwise correlation networks alone are insufficient for capturing the high-order interactions that extend bey…