Domain Adaptation with Source Selection for Motor-Imagery based BCI. - Eunjin Jeon; Wonjun Ko; Heung-Il Suk (BCI, 2019)

Semi-Supervised Deep Adversarial Learning for Brain-Computer Interface. - Wonjun Ko; Eunjin Jeon; Jiyeon Lee; Heung-Il Suk (BCI, 2019)

Toward Subject Invariant and Class Disentangled Representation in BCI via Cross-Domain Mutual Information Estimator. - Eunjin Jeon; Wonjun Ko; Jee Seok Yoon; Heung-Il Suk (CoRR, 2019)

VIGNet: A Deep Convolutional Neural Network for EEG-based Driver Vigilance Estimation. - Wonjun Ko; Kwanseok Oh; Eunjin Jeon; Heung-Il Suk (BCI, 2020)

Enriched Representation Learning in Resting-State fMRI for Early MCI Diagnosis. - Eunjin Jeon; Eunsong Kang; Jiyeon Lee; Jaein Lee; Tae-Eui Kam; Heung-Il Suk (MICCAI (7), 2020)

Spectro-Spatio-Temporal EEG Representation Learning for Imagined Speech Recognition. - Wonjun Ko; Eunjin Jeon; Heung-Il Suk (ACPR (2), 2021)

Fine-grained Temporal Attention Network for EEG-based Seizure Detection. - Seungwoo Jeong; Eunjin Jeon; Wonjun Ko; Heung-Il Suk (BCI, 2021)

ENGINE: Enhancing Neuroimaging and Genetic Information by Neural Embedding. - Wonjun Ko; Wonsik Jung; Eunjin Jeon; Ahmad Wisnu Mulyadi; Heung-Il Suk (ICDM, 2021)

Experimental Design for Multi-task Deep Learning toward Intelligence Augmented Visual AI. - ByungRae Cha; YoonSeok Cha; SeongYeol An; Eunjin Jeon; Sun Park; JongWon Kim 001 (ICTC, 2021)

Inter-regional High-Level Relation Learning from Functional Connectivity via Self-supervision. - Wonsik Jung; Da-Woon Heo; Eunjin Jeon; Jaein Lee; Heung-Il Suk (MICCAI (2), 2021)

Meta-modulation Network for Domain Generalization in Multi-site fMRI Classification. - Jaein Lee; Eunsong Kang; Eunjin Jeon; Heung-Il Suk (MICCAI (5), 2021)

Multi-Scale Neural Network for EEG Representation Learning in BCI. - Wonjun Ko; Eunjin Jeon; Seungwoo Jeong; Heung-Il Suk (IEEE Comput. Intell. Mag., 2021)

Fine-Grained Attention for Weakly Supervised Object Localization. - Junghyo Sohn; Eunjin Jeon; Wonsik Jung; Eunsong Kang; Heung-Il Suk (CoRR, 2021)

Enhancing Contextual Encoding With Stage-Confusion and Stage-Transition Estimation for EEG-Based Sleep Staging. - Jaeun Phyo; Wonjun Ko; Eunjin Jeon; Heung-Il Suk (ICASSP, 2022)

A Novel RL-Assisted Deep Learning Framework for Task-Informative Signals Selection and Classification for Spontaneous BCIs. - Wonjun Ko; Eunjin Jeon; Heung-Il Suk (IEEE Trans. Ind. Informatics, 2022)

A Deep Generative-Discriminative Learning for Multimodal Representation in Imaging Genetics. - Wonjun Ko; Wonsik Jung; Eunjin Jeon; Heung-Il Suk (IEEE Trans. Medical Imaging, 2022)

Learning-based Sleep Quality Evaluation. - Seungwoo Jeong; Eunjin Jeon; Seungpyo Noh; Jinsool Lee; Hyungjin Kim; Seonguk Kim; Heung-Il Suk (BCI, 2023)

TransSleep: Transitioning-Aware Attention-Based Deep Neural Network for Sleep Staging. - Jaeun Phyo; Wonjun Ko; Eunjin Jeon; Heung-Il Suk (IEEE Trans. Cybern., 2023)

Mutual Information-Driven Subject-Invariant and Class-Relevant Deep Representation Learning in BCI. - Eunjin Jeon; Wonjun Ko; Jee Seok Yoon; Heung-Il Suk (IEEE Trans. Neural Networks Learn. Syst., 2023)

FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation. - Kwanseok Oh; Eunjin Jeon; Da-Woon Heo; Yooseung Shin; Heung-Il Suk (CoRR, 2024)

EAG-RS: A Novel Explainability-Guided ROI-Selection Framework for ASD Diagnosis via Inter-Regional Relation Learning. - Wonsik Jung; Eunjin Jeon; Eunsong Kang; Heung-Il Suk (IEEE Trans. Medical Imaging, 2024)

ADT²R: Adaptive Decision Transformer for Dynamic Treatment Regimes in Sepsis. - Eunjin Jeon; Jaehun Choi; Heung-Il Suk (IEEE Trans. Neural Networks Learn. Syst., 2025)