Hye-Bin Shin

According to our database, Hye-Bin Shin authored at least 17 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Brain-Guided Self-Paced Curriculum Learning for Adaptive Human-Machine Interfaces.

Yeon-Woo Choi, Hye-Bin Shin, Seong-Whan Lee

IEEE Trans. Syst. Man Cybern. Syst., July, 2025

Aligning Humans and Robots via Reinforcement Learning from Implicit Human Feedback.

Suzie Kim, Hye-Bin Shin, Seong-Whan Lee

CoRR, July, 2025

Uncertainty-Aware Cross-Modal Knowledge Distillation with Prototype Learning for Multimodal Brain-Computer Interfaces.

Hyo-Jeong Jang, Hye-Bin Shin, Seong-Whan Lee

CoRR, July, 2025

Developing Brain-Based Bare-Handed Human-Machine Interaction via On-Skin Input.

Myoung-Ki Kim, Hye-Bin Shin, Jeong-Hyun Cho, Seong-Whan Lee

IEEE Trans. Cybern., April, 2025

A brain-inspired model for multi-step forecasting of malignant arrhythmias.

Yun Kwan Kim, Insung Choi, Sun Jung Lee, Hye-Bin Shin, Gyung Chul Kim, Hee Seok Song, Minji Lee, Seong-Whan Lee

Expert Syst. Appl., 2025

EEG-Based Multimodal Representation Learning for Emotion Recognition.

Kang Yin, Hye-Bin Shin, Dan Li, Seong-Whan Lee

Proceedings of the 13th International Conference on Brain-Computer Interface, 2025

Personalized Continual EEG Decoding: Retaining and Transferring Knowledge.

Dan Li, Hye-Bin Shin, Kang Yin

Proceedings of the 13th International Conference on Brain-Computer Interface, 2025

2024

Personalized Continual EEG Decoding Framework for Knowledge Retention and Transfer.

Dan Li, Hye-Bin Shin, Kang Yin

CoRR, 2024

Baseline-Guided Representation Learning for Noise-Robust EEG Signal Classification.

Elissa Yanting Lim, Kang Yin, Hye-Bin Shin, Seong-Whan Lee

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Domain-Incremental Learning Framework for Continual Motor Imagery EEG Classification Task.

Dan Li, Hye-Bin Shin, Kang Yin, Seong-Whan Lee

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Pioneering EEG Motor Imagery Classification Through Counterfactual Analysis.

Kang Yin, Hye-Bin Shin, Hee-Dong Kim

Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024

Sparse Multitask Learning for Efficient Neural Representation of Motor Imagery and Execution.

Hye-Bin Shin, Kang Yin, Seong-Whan Lee

Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024

2023

Pioneering EEG Motor Imagery Classification Through Counterfactual Analysis.

Kang Yin, Hye-Bin Shin, Hee-Dong Kim, Seong-Whan Lee

CoRR, 2023

Towards Developing Novel and Intuitive Brain-based Control Interface via On-skin Input.

Hye-Bin Shin, Myoung-Ki Kim, Jeong-Hyun Cho

Proceedings of the 11th International Winter Conference on Brain-Computer Interface, 2023

Calibration-Free Driver Drowsiness Classification based on Manifold-Level Augmentation.

Dong-Young Kim, Dong-Kyun Han, Hye-Bin Shin

Proceedings of the 11th International Winter Conference on Brain-Computer Interface, 2023

Towards Brain-based Interface for Communication and Control by Skin Touch.

Myoung-Ki Kim, Jeong-Hyun Cho, Hye-Bin Shin, Seong-Whan Lee

Proceedings of the 11th International Winter Conference on Brain-Computer Interface, 2023

2022

Recognition of Tactile-related EEG Signals Generated by Self-touch.

Myoung-Ki Kim, Jeong-Hyun Cho, Hye-Bin Shin

Proceedings of the 10th International Winter Conference on Brain-Computer Interface, 2022