A convolution neural networks scheme for classification of motor imagery EEG based on wavelet time-frequecy image. - Hyeon Kyu Lee; Young-Seok Choi (ICOIN, 2018)

Application of Continuous Wavelet Transform and Convolutional Neural Network in Decoding Motor Imagery Brain-Computer Interface. - Hyeon Kyu Lee; Young-Seok Choi (Entropy, 2019)

Data-driven Data Augmentation for Motor Imagery Brain-Computer Interface. - Hyeon Kyu Lee; Ji-Hack Lee; Jin-Oh Park; Young-Seok Choi (ICOIN, 2021)

Enhancing SSVEP-Based Brain-Computer Interface with Two-Step Task-Related Component Analysis. - Hyeon Kyu Lee; Young-Seok Choi (Sensors, 2021)

A Lightweight End-to-End Neural Networks for Decoding of Motor Imagery Brain Signal. - Hyeon Kyu Lee; Ji-Soo Myoung; Young-Seok Choi (ICUFN, 2022)