2 citations · 2 across the 5 of their papers we have counts for
8 papers
Cross-Modal Consistency-Guided Active Learning for Affective BCI Systems
Hyo-Jeong Jang, Hye-Bin Shin, Kang Yin
Deep learning models perform best with abundant, high-quality labels, yet such conditions are rarely achievable in EEG-based emotion recognition. Electroencephalogram (EEG) signals…
Semantic Prioritization in Visual Counterfactual Explanations with Weighted Segmentation and Auto-Adaptive Region Selection
Lintong Zhang, Kang Yin, Seong-Whan Lee
In the domain of non-generative visual counterfactual explanations (CE), traditional techniques frequently involve the substitution of sections within a query image with correspond…
NeuroLex: A Lightweight Domain Language Model for EEG Report Understanding and Generation
Kang Yin, Hye-Bin Shin
Clinical electroencephalogram (EEG) reports encode domain-specific linguistic conventions that general-purpose language models (LMs) fail to capture. We introduce NeuroLex, a light…
Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition
Lintong Zhang, Kang Yin, Seong-Whan Lee
Attribution-based explanation techniques capture key patterns to enhance visual interpretability; however, these patterns often lack the granularity needed for insight in fine-grai…
Reconstructing Unseen Sentences from Speech-related Biosignals for Open-vocabulary Neural Communication
Deok-Seon Kim, Seo-Hyun Lee, Kang Yin +1
Brain-to-speech (BTS) systems represent a groundbreaking approach to human communication by enabling the direct transformation of neural activity into linguistic expressions. While…
Towards a Network Expansion Approach for Reliable Brain-Computer Interface
Byeong-Hoo Lee, Kang Yin
Robotic arms are increasingly being used in collaborative environments, requiring an accurate understanding of human intentions to ensure both effectiveness and safety. Electroence…