The Effect of Neurofeedback Training in Virtual and Real Environments based on BCI. - Dong-Kyun Han; Min-Ho Lee; John Williamson; Seong-Whan Lee (BCI, 2019)

Domain Generalization for Session-Independent Brain-Computer Interface. - Dong-Kyun Han; Ji-Hoon Jeong (BCI, 2021)

Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks. - Dae-Hyeok Lee; Dong-Kyun Han; Sung-Jin Kim; Ji-Hoon Jeong; Seong-Whan Lee (SMC, 2021)

Confidence-Aware Subject-to-Subject Transfer Learning for Brain-Computer Interface. - Dong-Kyun Han; Serkan Musellim; Dong-Young Kim (CoRR, 2021)

Confidence-Aware Subject-to-Subject Transfer Learning for Brain-Computer Interface. - Dong-Kyun Han; Serkan Musellim; Dong-Young Kim; Ji-Hoon Jeong (BCI, 2022)

Prototype-based Domain Generalization Framework for Subject-Independent Brain-Computer Interfaces. - Serkan Musellim; Dong-Kyun Han; Ji-Hoon Jeong; Seong-Whan Lee (EMBC, 2022)

Ordinal Distance-based Domain Adaptation Framework for Motion Sickness Classification. - So-Hyun Han; Dong-Kyun Han; Seong-Whan Lee (SMC, 2022)

EEG-based Driver Drowsiness Classification via Calibration-Free Framework with Domain Generalization. - Dong-Young Kim; Dong-Kyun Han; Ji-Hoon Jeong; Seong-Whan Lee (SMC, 2022)

Subject-Independent Brain-Computer Interfaces with Open-Set Subject Recognition. - Dong-Kyun Han; Geun-Deok Jang; Dong-Young Kim (BCI, 2023)

Calibration-Free Driver Drowsiness Classification based on Manifold-Level Augmentation. - Dong-Young Kim; Dong-Kyun Han; Hye-Bin Shin (BCI, 2023)

Improving Generalization of Drowsiness State Classification by Domain-Specific Normalization. - Dong-Young Kim; Dong-Kyun Han; Seo-Hyeon Park; Geun-Deok Jang; Seong-Whan Lee (CoRR, 2023)

EEG-Based Target Recognition for Multi-camera Surveillance Systems. - Dong-Kyun Han; Sung-Jin Kim; Heon-Gyu Kwak; Byoung-Hee Kwon; Byeong-Hoo Lee; Seong-Whan Lee (BCI, 2024)

Improving Generalization of Drowsiness State Classification by Domain-Specific Normalization. - Dong-Young Kim; Dong-Kyun Han; Seo-Hyeon Park; Geun-Deok Jang (BCI, 2024)

Exploring the Feasibility of Event-Related Potentials in Visual Surveillance Applications. - Byoung-Hee Kwon; Dong-Kyun Han; Hyung-Ju Ahn (BCI, 2024)

Sample Dominance Aware Framework via Non-Parametric Estimation for Spontaneous Brain-Computer Interface. - Byeong-Hoo Lee; Byoung-Hee Kwon; Dong-Kyun Han (BCI, 2024)

Dynamic Multi-modal Fusion for Biosignal-based Motion Sickness Prediction in Vehicles. - Seo-Hyeon Park; Dong-Kyun Han; Seong-Whan Lee (EMBC, 2024)

Test-Time Adaptation for EEG-Based Driver Drowsiness Classification. - Geun-Deok Jang; Dong-Kyun Han; Seong-Whan Lee (ICPRAI (1), 2024)

Multi-layer prototype learning with Dirichlet mixup for open-set EEG recognition. - Dong-Kyun Han; Minji Lee; Seong-Whan Lee (Expert Syst. Appl., 2025)

Calibration-Free Driver Drowsiness Classification With Prototype-Based Multi-Domain Mixup. - Dong-Young Kim; Dong-Kyun Han; Ji-Hoon Jeong; Seong-Whan Lee (IEEE Trans. Intell. Transp. Syst., 2025)