1 citations · 1 across the 5 of their papers we have counts for
4 papers · 1 filter
GeoNIRS: Geometry-Aware Pretraining for Heterogeneous fNIRS Representation Learning
Zongsheng Li, Shengyuan Zhu, Zimo Zhang +3
Functional near-infrared spectroscopy (fNIRS) provides portable and spatially localized measurements of cortical hemodynamics, but differences in channel count, probe layout, signa…
Beyond Flattened Tokens: Structure-Preserving EEG Decoding with Reusable TriDim Blocks
Shiyue Su, Song Wang, Zekai Zhan +7
Effective EEG decoding requires representations that preserve organization among channels, local waveform dynamics, and long-range temporal context. Existing EEG architectures ofte…
A geometry aware framework enhances noninvasive mapping of whole human brain dynamics
Song Wang, Kexin Lou, Chen Wei +8
Non-invasive electrophysiology lacks methods that accurately reconstruct whole-brain spatiotemporal dynamics while incorporating individual cortical geometry, leaving current elect…
Forecasting Epileptic Seizures from Contactless Camera via Cross-Species Transfer Learning
Mingkai Zhai, Wei Wang, Zongsheng Li +1
Epileptic seizure forecasting is a clinically important yet challenging problem in epilepsy research. Existing approaches predominantly rely on neural signals such as electroenceph…