Dae-Hyeok Lee

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 29

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Top Venues

Publications

Sung-Jin Kim, Heon-Gyu Kwak, Hyeon-Taek Han, Dae-Hyeok Lee, Ji-Hoon Jeong
A Distributed Inference System for Detecting Task-wise Single Trial Event-Related Potential in Stream of Satellite Images. BCI (2024)
Dae-Hyeok Lee, Sung-Jin Kim, Si-Hyun Kim
Decoding EEG-based Workload Levels Using Spatio-temporal Features Under Flight Environment. BCI (2024)
Dae-Hyeok Lee, Ji-Hoon Jeong, Baek-Woon Yu, Tae-Eui Kam, Seong-Whan Lee
Autonomous System for EEG-Based Multiple Abnormal Mental States Classification Using Hybrid Deep Neural Networks Under Flight Environment. IEEE Trans. Syst. Man Cybern. Syst. 53 (10) (2023)
Dae-Hyeok Lee, Sung-Jin Kim, Hyeon-Taek Han, Seong-Whan Lee
TOINet: Transfer Learning from Overt Speech- to Imagined Speech-Based EEG Signals with Convolutional Autoencoder. SMC (2023)
Dae-Hyeok Lee, Sung-Jin Kim, Yeon-Woo Choi
Classification of Distraction Levels Using Hybrid Deep Neural Networks From EEG Signals. BCI (2023)
Sung-Jin Kim, Heon-Gyu Kwak, Hyeon-Taek Han, Dae-Hyeok Lee, Ji-Hoon Jeong, Seong-Whan Lee
A Distributed Inference System for Detecting Task-wise Single Trial Event-Related Potential in Stream of Satellite Images. CoRR (2023)
Sung-Jin Kim, Dae-Hyeok Lee, Yeon-Woo Choi
CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG Signals. BCI (2023)
Dae-Hyeok Lee, Sung-Jin Kim, Si-Hyun Kim, Seong-Whan Lee
Decoding EEG-based Workload Levels Using Spatio-temporal Features Under Flight Environment. CoRR (2023)
Sung-Jin Kim, Dae-Hyeok Lee, Seong-Whan Lee
Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-Based EEG Signals. IEEE Access 10 (2022)
Sung-Jin Kim, Dae-Hyeok Lee, Yeon-Woo Choi
CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG Signals. CoRR (2022)
Hyung-Ju Ahn, Dae-Hyeok Lee
Decoding 3D Representation of Visual Imagery EEG using Attention-based Dual-Stream Convolutional Neural Network. BCI (2022)
Keon-Woo Lee, Dae-Hyeok Lee, Sung-Jin Kim, Seong-Whan Lee
Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals. EMBC (2022)
Keon-Woo Lee, Dae-Hyeok Lee, Sung-Jin Kim, Seong-Whan Lee
Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals. CoRR (2022)
Sung-Jin Kim, Dae-Hyeok Lee, Seong-Whan Lee
An EEGgram-based Neural Network Enhancing the Decoding Performance of Visual Imagery EEG Signals to Control the Drone Swarm. SMC (2022)
Dae-Hyeok Lee, Sung-Jin Kim, Yeon-Woo Choi
Classification of Distraction Levels Using Hybrid Deep Neural Networks From EEG Signals. CoRR (2022)
Dae-Hyeok Lee, Sung-Jin Kim, Keon-Woo Lee
Decoding High-level Imagined Speech using Attention-based Deep Neural Networks. BCI (2022)
Dae-Hyeok Lee, Sung-Jin Kim, Keon-Woo Lee
Decoding High-level Imagined Speech using Attention-based Deep Neural Networks. CoRR (2021)
Dae-Hyeok Lee, Dong-Kyun Han, Sung-Jin Kim, Ji-Hoon Jeong, Seong-Whan Lee
Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks. CoRR (2021)
Hyung-Ju Ahn, Dae-Hyeok Lee, Ji-Hoon Jeong, Seong-Whan Lee
Towards Natural Brain-Machine Interaction using Endogenous Potentials based on Deep Neural Networks. CoRR (2021)
Dae-Hyeok Lee, Ji-Hoon Jeong, Hyung-Ju Ahn, Seong-Whan Lee
Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms. BCI (2021)
Hyung-Ju Ahn, Dae-Hyeok Lee
Decoding 3D Representation of Visual Imagery EEG using Attention-based Dual-Stream Convolutional Neural Network. CoRR (2021)
Dae-Hyeok Lee, Sung-Jin Kim, Seong-Whan Lee
DAL: Feature Learning from Overt Speech to Decode Imagined Speech-based EEG Signals with Convolutional Autoencoder. CoRR (2021)
Dae-Hyeok Lee, Dong-Kyun Han, Sung-Jin Kim, Ji-Hoon Jeong, Seong-Whan Lee
Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks. SMC (2021)
Ji-Hoon Jeong, Dae-Hyeok Lee, Hyung-Ju Ahn, Seong-Whan Lee
Towards Brain-Computer Interfaces for Drone Swarm Control. BCI (2020)
Dae-Hyeok Lee, Hyung-Ju Ahn, Ji-Hoon Jeong, Seong-Whan Lee
Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms. CoRR (2020)
Ji-Hoon Jeong, Dae-Hyeok Lee, Hyung-Ju Ahn, Seong-Whan Lee
Towards Brain-Computer Interfaces for Drone Swarm Control. CoRR (2020)
Dae-Hyeok Lee, Ji-Hoon Jeong, Kiduk Kim, Baek-Woon Yu, Seong-Whan Lee
Continuous EEG Decoding of Pilots' Mental States Using Multiple Feature Block-Based Convolutional Neural Network. IEEE Access 8 (2020)
Ji-Hoon Jeong, Byeong-Hoo Lee, Dae-Hyeok Lee, Yong-Deok Yun, Seong-Whan Lee
EEG Classification of Forearm Movement Imagery Using a Hierarchical Flow Convolutional Neural Network. IEEE Access 8 (2020)
Baek-Woon Yu, Ji-Hoon Jeong, Dae-Hyeok Lee, Seong-Whan Lee
Detection of Pilot's Drowsiness Based on Multimodal Convolutional Bidirectional LSTM Network. ACPR (2) (2019)