Assistive Robotic Arm Control based on Brain-Machine Interface with Vision Guidance using Convolution Neural Network. - Kyung-Hwan Shim 001; Ji-Hoon Jeong; Byoung-Hee Kwon; Byeong-Hoo Lee; Seong-Whan Lee (SMC, 2019)

Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining. - Byeong-Hoo Lee; Ji-Hoon Jeong; Kyung-Hwan Shim 001; Dong-Joo Kim (BCI, 2020)

Classification of High-Dimensional Motor Imagery Tasks Based on An End-To-End Role Assigned Convolutional Neural Network. - Byeong-Hoo Lee; Ji-Hoon Jeong; Kyung-Hwan Shim 001; Seong-Whan Lee (ICASSP, 2020)

EEG Classification of Forearm Movement Imagery Using a Hierarchical Flow Convolutional Neural Network. - Ji-Hoon Jeong; Byeong-Hoo Lee; Dae-Hyeok Lee; Yong-Deok Yun; Seong-Whan Lee (IEEE Access, 2020)

SessionNet: Feature Similarity-Based Weighted Ensemble Learning for Motor Imagery Classification. - Byeong-Hoo Lee; Ji-Hoon Jeong; Seong-Whan Lee (IEEE Access, 2020)

Motor Imagery Classification Emphasizing Corresponding Frequency Domain Method based on Deep Learning Framework. - Byoung-Hee Kwon; Byeong-Hoo Lee; Ji-Hoon Jeong (BCI, 2021)

Speech Imagery Classification using Length-Wise Training based on Deep Learning. - Byeong-Hoo Lee; Byoung-Hee Kwon; Do-Yeun Lee; Ji-Hoon Jeong (BCI, 2021)

Decoding Visual Imagery from EEG Signals using Visual Perception Guided Network Training Method. - Byoung-Hee Kwon; Jeong-Hyun Cho; Byeong-Hoo Lee (CoRR, 2021)

Decoding Continual Muscle Movements Related to Complex Hand Grasping from EEG Signals. - Jeong-Hyun Cho; Byoung-Hee Kwon; Byeong-Hoo Lee; Seong-Whan Lee (BCI, 2022)

Decoding Visual Imagery from EEG Signals using Visual Perception Guided Network Training Method. - Byoung-Hee Kwon; Byeong-Hoo Lee; Jeong-Hyun Cho; Ji-Hoon Jeong (BCI, 2022)

A Factorization Approach for Motor Imagery Classification. - Byeong-Hoo Lee; Jeong-Hyun Cho; Byoung-Hee Kwon (BCI, 2022)

Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface. - Byeong-Hoo Lee; Jeong-Hyun Cho; Byoung-Hee Kwon; Seong-Whan Lee (ICPR, 2022)

Decoding Multi-class Motor-related Intentions with User-optimized and Robust BCI System Based on Multimodal Dataset. - Jeong-Hyun Cho; Byoung-Hee Kwon; Byeong-Hoo Lee (BCI, 2023)

Channel Optimized Visual Imagery based Robotic Arm Control under the Online Environment. - Byoung-Hee Kwon; Byeong-Hoo Lee; Jeong-Hyun Cho (BCI, 2023)

Hybrid Paradigm-based Brain-Computer Interface for Robotic Arm Control. - Byeong-Hoo Lee; Jeong-Hyun Cho; Byoung-Hee Kwon (BCI, 2023)

Target-centered Subject Transfer Framework for EEG Data Augmentation. - Kang Yin; Byeong-Hoo Lee; Byoung-Hee Kwon; Jeong-Hyun Cho (BCI, 2023)

Sample Dominance Aware Framework via Non-Parametric Estimation for Spontaneous Brain-Computer Interface. - Byeong-Hoo Lee; Byoung-Hee Kwon; Seong-Whan Lee (CoRR, 2023)

Real-Time Deep Neurolinguistic Learning Enhances Noninvasive Neural Language Decoding for Brain-Machine Interaction. - Ji-Hoon Jeong; Jeong-Hyun Cho; Byeong-Hoo Lee; Seong-Whan Lee (IEEE Trans. Cybern., 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)

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

Towards a Network Expansion Approach for Reliable Brain-Computer Interface. - Byeong-Hoo Lee; Kang Yin (BCI, 2025)