1 citations · 2 across the 4 of their papers we have counts for
4 papers
GNN4EEG: A Benchmark and Toolkit for Electroencephalography Classification with Graph Neural Network
Kaiyuan Zhang, Ziyi Ye, Qingyao Ai +2
Electroencephalography(EEG) classification is a crucial task in neuroscience, neural engineering, and several commercial applications. Traditional EEG classification models, howeve…
Hybrid-CSR: Coupling Explicit and Implicit Shape Representation for Cortical Surface Reconstruction
Shanlin Sun, Thanh-Tung Le, Chenyu You +6
We present Hybrid-CSR, a geometric deep-learning model that combines explicit and implicit shape representations for cortical surface reconstruction. Specifically, Hybrid-CSR begin…
Learning sparse gradients for variable selection and dimension reduction
Gui-Bo Ye, Xiaohui Xie
Variable selection and dimension reduction are two commonly adopted approaches for high-dimensional data analysis, but have traditionally been treated separately. Here we propose a…
Split Bregman method for large scale fused Lasso
Gui-Bo Ye, Xiaohui Xie
rdering of regression or classification coefficients occurs in many real-world applications. Fused Lasso exploits this ordering by explicitly regularizing the differences between n…