Multitask Autoencoder-Based Two-Phase Framework Using Multilevel Feature Fusion for EEG Emotion Recognition. - ChangGyun Jin; ChanWoo Shin; Hanul Kim 001; Seong-Eun Kim (ICEIC, 2024)

TWEN: EEG Emotion Recognition Model Based on Weakly Supervised Learning Framework with Two-Phase Multitask Autoencoder. - Taewan Kim; ChangGyun Jin; Seong-Eun Kim (ICTC, 2024)

Two-Phase Multitask Autoencoder-Based Deep Learning Framework for Subject-Independent EEG Motor Imagery Classification. - ChangGyun Jin; Andrew H. Song; Seong-Eun Kim (IEEE Access, 2024)