2 citations · 2 across the 3 of their papers we have counts for
5 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…
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…
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…
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…
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…