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Seong–Whan Lee

Researcher Next ID · RN-036636

Researcher · Computer Science

Korea University

Seoul, South Korea

Accepting doctoral researchersFunding unknown
Works count
827
Citation count
23,111
H-index
80
i10-index
323

Research interests

Computer Science
Neuroscience
EEG and Brain-Computer Interfaces
Human Pose and Action Recognition
Neural dynamics and brain function
Neuroscience and Neural Engineering
Gaze Tracking and Assistive Technology

Publications

  • Spatio-Spectral Feature Representation for Motor Imagery Classification Using Convolutional Neural Networks

    IEEE Transactions on Neural Networks and Learning Systems · 2021 · 10.1109/tnnls.2020.3048385

  • Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network

    Neural Networks · 2020 · 10.1016/j.neunet.2020.12.013

  • Brain-Controlled Robotic Arm System Based on Multi-Directional CNN-BiLSTM Network Using EEG Signals

    IEEE Transactions on Neural Systems and Rehabilitation Engineering · 2020 · 10.1109/tnsre.2020.2981659

  • Subject-Independent Brain–Computer Interfaces Based on Deep Convolutional Neural Networks

    IEEE Transactions on Neural Networks and Learning Systems · 2019 · https://doi.org/10.1109/tnnls.2019.2946869

  • EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy

    GigaScience · 2019 · https://doi.org/10.1093/gigascience/giz002

  • A High Performance Spelling System based on EEG-EOG Signals With Visual Feedback

    IEEE Transactions on Neural Systems and Rehabilitation Engineering · 2018 · 10.1109/tnsre.2018.2839116

  • Extraction of dynamic functional connectivity from brain grey matter and white matter for MCI classification

    Human Brain Mapping · 2017 · 10.1002/hbm.23711

  • Deep ensemble learning of sparse regression models for brain disease diagnosis

    Medical Image Analysis · 2017 · 10.1016/j.media.2017.01.008

  • A convolutional neural network for steady state visual evoked potential classification under ambulatory environment

    PLoS ONE · 2017 · 10.1371/journal.pone.0172578

  • A High-Security EEG-Based Login System with RSVP Stimuli and Dry Electrodes

    IEEE Transactions on Information Forensics and Security · 2016 · 10.1109/tifs.2016.2577551

  • Commanding a Brain-Controlled Wheelchair Using Steady-State Somatosensory Evoked Potentials

    IEEE Transactions on Neural Systems and Rehabilitation Engineering · 2016 · 10.1109/tnsre.2016.2597854

  • State-space model with deep learning for functional dynamics estimation in resting-state fMRI

    NeuroImage · 2016 · 10.1016/j.neuroimage.2016.01.005

  • Deep sparse multi-task learning for feature selection in Alzheimer’s disease diagnosis

    Brain Structure and Function · 2015 · 10.1007/s00429-015-1059-y

  • A novel relational regularization feature selection method for joint regression and classification in AD diagnosis

    Medical Image Analysis · 2015 · 10.1016/j.media.2015.10.008

  • A lower limb exoskeleton control system based on steady state visual evoked potentials

    Journal of Neural Engineering · 2015 · 10.1088/1741-2560/12/5/056009

  • Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification

    IEEE Transactions on Biomedical Engineering · 2015 · 10.1109/tbme.2015.2466616

  • The Role of Context for Object Detection and Semantic Segmentation in the Wild

    Journal · 2014 · https://doi.org/10.1109/cvpr.2014.119

  • Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis

    NeuroImage · 2014 · https://doi.org/10.1016/j.neuroimage.2014.06.077

  • Latent feature representation with stacked auto-encoder for AD/MCI diagnosis

    Brain Structure and Function · 2013 · https://doi.org/10.1007/s00429-013-0687-3

  • A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces

    IEEE Transactions on Pattern Analysis and Machine Intelligence · 2012 · 10.1109/tpami.2012.69

  • AdaBoost for Text Detection in Natural Scene

    · 2011 · 10.1109/icdar.2011.93

  • Hand gesture recognition based on dynamic Bayesian network framework

    Pattern Recognition · 2010 · 10.1016/j.patcog.2010.03.016

  • A SURVEY ON PATTERN RECOGNITION APPLICATIONS OF SUPPORT VECTOR MACHINES

    International Journal of Pattern Recognition and Artificial Intelligence · 2003 · 10.1142/s0218001403002460

  • Applications of Support Vector Machines for Pattern Recognition: A Survey

    Lecture notes in computer science · 2002 · 10.1007/3-540-45665-1_17

  • Off-line recognition of totally unconstrained handwritten numerals using multilayer cluster neural network

    IEEE Transactions on Pattern Analysis and Machine Intelligence · 1996 · 10.1109/34.506416

Current projects

    No projects listed.