1 citations · 4 across the 5 of their papers we have counts for
5 papers
Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based vector-on-matrix regression
Tong Lu, Yuan Zhang, Vince Lyzinski +4
The joint analysis of multimodal neuroimaging data is critical in the field of brain research because it reveals complex interactive relationships between neurobiological structure…
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off, with Application to Network Method-of-Moments
Meijia Shao, Dong Xia, Yuan Zhang
U-statistics play central roles in many statistical learning tools but face the haunting issue of scalability. Significant efforts have been devoted into accelerating computation b…
Distribution-Free Matrix Prediction Under Arbitrary Missing Pattern
Meijia Shao, Yuan Zhang
This paper studies the open problem of conformalized entry prediction in a row/column-exchangeable matrix. The matrix setting presents novel and unique challenges, but there exists…
Network method for voxel-pair-level brain connectivity analysis under spatial-contiguity constraints
Tong Lu, Yuan Zhang, Peter Kochunov +2
Brain connectome analysis commonly compresses high-resolution brain scans (typically composed of millions of voxels) down to only hundreds of regions of interest (ROIs) by averagin…
Higher-order accurate two-sample network inference and network hashing
Meijia Shao, Dong Xia, Yuan Zhang +2
Two-sample hypothesis testing for network comparison presents many significant challenges, including: leveraging repeated network observations and known node registration, but with…