activity
20242026
most citedBrant-X: A Unified Physiological Signal Alignment Framework

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

q-bio.NC2026

Towards unified brain-to-text decoding across speech production and perception

Zhizhang Yuan, Yang Yang, Gaorui Zhang +7

Speech production and perception are the main ways humans communicate daily. Prior brain-to-text decoding studies have largely focused on a single modality and alphabetic languages…

q-bio.NC2026

Assembling the Mind's Mosaic: Towards EEG Semantic Intent Decoding

Jiahe Li, Junru Chen, Fanqi Shen +6

Enabling natural communication through brain-computer interfaces (BCIs) remains one of the most profound challenges in neuroscience and neurotechnology. While existing frameworks o…

q-bio.NC2025

NeuroSketch: An Effective Framework for Neural Decoding via Systematic Architectural Optimization

Gaorui Zhang, Zhizhang Yuan, Jialan Yang +3

Neural decoding, a critical component of Brain-Computer Interface (BCI), has recently attracted increasing research interest. Previous research has focused on leveraging signal pro…

q-bio.NC2025

Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics

Jiahe Li, Xin Chen, Fanqi Shen +7

Neurological disorders pose major global health challenges, driving advances in brain signal analysis. Scalp electroencephalography (EEG) and intracranial EEG (iEEG) are widely use…

eess.SP20241 cited

Brant-X: A Unified Physiological Signal Alignment Framework

Daoze Zhang, Zhizhang Yuan, Junru Chen +2

Physiological signals serve as indispensable clues for understanding various physiological states of human bodies. Most existing works have focused on a single type of physiologica…