Junmo Kim
Orcid: 0000-0002-2238-3255Affiliations:
- Korea University, Department of Artificial Intelligence, Seoul, Korea
According to our database1,
Junmo Kim authored at least 16 papers
between 2021 and 2026.
Collaborative distances:
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Bibliography
2026
A hierarchical reinforcement learning approach to personalized decision-making for brain connectivity segmentation.
Expert Syst. Appl., 2026
Source-driven enhanced semantic style transfer for addressing BCI illiteracy in subject-independent EEG-based motor imagery classification.
Appl. Soft Comput., 2026
EEG-based epileptic seizure prediction with patient-tailored spectral-spatial-temporal feature learning.
Artif. Intell. Medicine, 2026
CroSS: Cross-subject Visual Brain Decoding via Soft Alignment and Subject-aware Batch Normalization.
Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026
Subject-Invariant EEG Embeddings via Mixup and Adversarial Learning for Semantic Retrieval.
Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026
2025
SeeEEG: Semantic-aware EEG-based Multi-Modal Retrieval-Augmented Generation for High-Fidelity Visual Brain Decoding.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025
Curriculum Learning with Sampling Scheduler for Imbalanced EEG-Based Seizure Detection.
Proceedings of the 13th International Conference on Brain-Computer Interface, 2025
Visual Decoding Using a Learnable Wavelet-Based Spatial-Spectral-Temporal EEG Embedding.
Proceedings of the 13th International Conference on Brain-Computer Interface, 2025
2024
MARS: Multiagent Reinforcement Learning for Spatial - Spectral and Temporal Feature Selection in EEG-Based BCI.
IEEE Trans. Syst. Man Cybern. Syst., May, 2024
A Unified Multi-Modality Fusion Framework for Deep Spatio-Spectral-Temporal Feature Learning in Resting-State fMRI Denoising.
IEEE J. Biomed. Health Informatics, April, 2024
META-EEG: Meta-learning-based class-relevant EEG representation learning for zero-calibration brain-computer interfaces.
Expert Syst. Appl., March, 2024
A learnable continuous wavelet-based multi-branch attentive convolutional neural network for spatio-spectral-temporal EEG signal decoding.
Expert Syst. Appl., 2024
Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024
2023
SAT-Net: SincNet-Based Attentive Temporal Convolutional Network for Motor Imagery Classification.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Feature Selection Based on Layer-Wise Relevance Propagation for EEG-based MI classification.
Proceedings of the 11th International Winter Conference on Brain-Computer Interface, 2023
2021
Efficiently Updating ECG-Based Biometric Authentication Based on Incremental Learning.
Sensors, 2021