13 citations · 13 across the 5 of their papers we have counts for
5 papers
Few-Shot Continual Learning for 3D Brain MRI with Frozen Foundation Models
Chi-Sheng Chen, Xinyu Zhang, Guan-Ying Chen +3
Foundation models pretrained on large-scale 3D medical imaging data face challenges when adapted to multiple downstream tasks under continual learning with limited labeled data. We…
FreqLens: Interpretable Frequency Attribution for Time Series Forecasting
Chi-Sheng Chen, Xinyu Zhang, En-Jui Kuo +3
Time series forecasting models often lack interpretability, limiting their adoption in domains requiring explainable predictions. We propose \textsc{FreqLens}, an interpretable for…
A Unified SPD Token Transformer Framework for EEG Classification: Systematic Comparison of Geometric Embeddings
Chi-Sheng Chen, En-Jui Kuo, Guan-Ying Chen +2
Spatial covariance matrices of EEG signals are Symmetric Positive Definite (SPD) and lie on a Riemannian manifold, yet the theoretical connection between embedding geometry and opt…
WaveRNet: Wavelet-Guided Frequency Learning for Multi-Source Domain-Generalized Retinal Vessel Segmentation
Chanchan Wang, Yuanfang Wang, Qing Xu +1
Domain-generalized retinal vessel segmentation is critical for automated ophthalmic diagnosis, yet faces significant challenges from domain shift induced by non-uniform illuminatio…
Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning
Chi-Sheng Chen, Guan-Ying Chen, Dong Zhou +2
Food classification is the foundation for developing food vision tasks and plays a key role in the burgeoning field of computational nutrition. Due to the complexity of food requir…