TOINet: Transfer Learning from Overt Speech- to Imagined Speech-Based EEG Signals with Convolutional Autoencoder. - Dae-Hyeok Lee; Sung-Jin Kim; Hyeon-Taek Han; Seong-Whan Lee (SMC, 2023)

Influence of Video Dynamics on EEG-based Single-Trial Video Target Surveillance Syste. - Heon-Gyu Kwak; Sung-Jin Kim; Hyeon-Taek Han; Ji-Hoon Jeong; Seong-Whan Lee (CoRR, 2023)

A Distributed Inference System for Detecting Task-wise Single Trial Event-Related Potential in Stream of Satellite Images. - Sung-Jin Kim; Heon-Gyu Kwak; Hyeon-Taek Han; Dae-Hyeok Lee; Ji-Hoon Jeong; Seong-Whan Lee (CoRR, 2023)

A Distributed Inference System for Detecting Task-wise Single Trial Event-Related Potential in Stream of Satellite Images. - Sung-Jin Kim; Heon-Gyu Kwak; Hyeon-Taek Han; Dae-Hyeok Lee; Ji-Hoon Jeong (BCI, 2024)

Influence of Video Dynamics on EEG-based Single-Trial Video Target Surveillance System. - Heon-Gyu Kwak; Sung-Jin Kim; Hyeon-Taek Han; Ji-Hoon Jeong (BCI, 2024)

Proxy-based Masking Module for Revealing Relevance of Characteristics in Motor Imagery. - Hyeon-Taek Han; Sung-Jin Kim; Dae-Hyeok Lee; Seong-Whan Lee (EMBC, 2024)

Feature Selection via Dynamic Graph-Based Attention Block in MI-Based EEG Signals. - Hyeon-Taek Han; Dae-Hyeok Lee; Heon-Gyu Kwak (BCI, 2025)

Dataset Refinement for Improving the Generalization Ability of the EEG Decoding Model. - Sung-Jin Kim; Dae-Hyeok Lee; Hyeon-Taek Han (BCI, 2025)