1 citations · 1 across the 3 of their papers we have counts for
5 papers
Dual-Alignment Knowledge Retention for Continual Medical Image Segmentation
Yuxin Ye, Yan Liu, Shujian Yu
Continual learning in medical image segmentation involves sequential data acquisition across diverse domains (e.g., clinical sites), where task interference between past and curren…
Brain foundation model-guided source-selective domain adaptation for cross-subject EEG decoding
Jinzhou Wu, Baoping Tang, Qikang Li +3
Cross-subject motor-imagery electroencephalography (MI-EEG) decoding remains challenging because substantial inter-subject variability can cause both negative transfer from poorly…
BAN: Detecting Backdoors Activated by Adversarial Neuron Noise
Xiaoyun Xu, Zhuoran Liu, Stefanos Koffas +2
Backdoor attacks on deep learning represent a recent threat that has gained significant attention in the research community. Backdoor defenses are mainly based on backdoor inversio…
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness
Xiaoyun Xu, Shujian Yu, Zhuoran Liu +1
Vision Transformers (ViTs) have emerged as a fundamental architecture and serve as the backbone of modern vision-language models. Despite their impressive performance, ViTs exhibit…
Continual Invariant Risk Minimization
Francesco Alesiani, Shujian Yu, Mathias Niepert
Empirical risk minimization can lead to poor generalization behavior on unseen environments if the learned model does not capture invariant feature representations. Invariant risk…