3 papers
cs.CV2026
MSCGC-KAN: Multi-scale Causal Graph Convolution and Kolmogorov-Arnold Feature Mapping for EEG Emotion Recognition
Haoliang Gong, Qingshan She, Jiale Xu +2
Electroencephalogram (EEG)-based emotion recognition is an important affective computing task, and recent EEG foundation models provide useful generic representations for downstrea…
cs.CV2026
Subject-Aware Multi-Granularity Alignment for Zero-Shot EEG-to-Image Retrieval
Lin Jiang, Qingshan She, Jiale Xu +3
Decoding visual content from electroencephalography (EEG) is important for understanding neural visual representations and developing non-invasive brain-computer interfaces. Existi…
eess.IV2024
LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image Segmentation
Songkai Sun, Qingshan She, Yuliang Ma +2
In this study, the performance of existing U-shaped neural network architectures was enhanced for medical image segmentation by adding Transformer. Although Transformer architectur…