4 citations · 6 across the 11 of their papers we have counts for
11 papers
Decoding Error-Related Potentials under Multisensory Feedback with Varying Congruency
Yixin Liu, Kang Yin, Hye-Bin Shin +1
Error-related potentials (ErrPs) are widely studied neural signatures associated with error processing in human-machine interaction. In realistic settings, error perception often o…
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…
Personalized Continual EEG Decoding: Retaining and Transferring Knowledge
Dan Li, Hye-Bin Shin, Kang Yin +1
The significant inter-subject variability in electroen-cephalogram (EEG) signals often results in substantial changes to neural network weights as data distributions shift. This va…
EEG-based Multimodal Representation Learning for Emotion Recognition
Kang Yin, Hye-Bin Shin, Dan Li +1
Multimodal learning has been a popular area of research, yet integrating electroencephalogram (EEG) data poses unique challenges due to its inherent variability and limited availab…
Sparse Multitask Learning for Efficient Neural Representation of Motor Imagery and Execution
Hye-Bin Shin, Kang Yin, Seong-Whan Lee
In the quest for efficient neural network models for neural data interpretation and user intent classification in brain-computer interfaces (BCIs), learning meaningful sparse repre…
Pioneering EEG Motor Imagery Classification Through Counterfactual Analysis
Kang Yin, Hye-Bin Shin, Hee-Dong Kim +1
The application of counterfactual explanation (CE) techniques in the realm of electroencephalography (EEG) classification has been relatively infrequent in contemporary research. I…