2 citations · 4 across the 7 of their papers we have counts for
7 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…
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…
Aligning Humans and Robots via Reinforcement Learning from Implicit Human Feedback
Suzie Kim, Hye-Bin Shin, Seong-Whan Lee
Conventional reinforcement learning (RL) ap proaches often struggle to learn effective policies under sparse reward conditions, necessitating the manual design of complex, task-spe…
Uncertainty-Aware Cross-Modal Knowledge Distillation with Prototype Learning for Multimodal Brain-Computer Interfaces
Hyo-Jeong Jang, Hye-Bin Shin, Seong-Whan Lee
Electroencephalography (EEG) is a fundamental modality for cognitive state monitoring in brain-computer interfaces (BCIs). However, it is highly susceptible to intrinsic signal err…
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…