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2024
ㆍInternational Journals
S.-E. Kim, W.-J. Nam, S.-W. Lee, "Appearance Debiased Gaze Estimation via Stochastic Subject-Wise Adversarial Learning," Pattern Recognition, 2024 (Accepted).  
G.-J. Yang, J.-H. Kim, S.-W. Lee, "Geometry-driven Self-Supervision for 3D Human Pose Estimation," Neural Networks, 2024 (Accepted).  
J.-H. Jeong, I.-G. Lee, S.-K. Kim, T.-E. Kam, S.-W. Lee, and E. Lee, "DeepHealthNet: Adolescent Obesity Prediction System Based on a Deep Learning Framework," IEEE Journal of Biomedical and Health Informatics, 2024 (Accepted).  
J.-H. Park, Y.-J. Ju, and S.-W. Lee, "Explaining Generative Diffusion Models via Visual Analysis for Interpretable Decision-Making Process," Expert Systems With Applications, Vol. 248, 2024, pp. 123231.  
S.-J. Kim, D.-H. Lee, H.-G. Kwak, and S.-W. Lee, "Towards Domain-free Transformer for Generalized EEG Pre-training," IEEE Trans. on Neural Systems & Rehabilitation Engineering, Vol. 32, 2024, pp. 482-492.  
S.-B. Kim, S.-H. Lee, H.-Y. Choi, and S.-W. Lee, "Audio Super-resolution with Robust Speech Representation Learning of Masked Autoencoder," IEEE Trans. on Audio, Speech and Language Processing, Vol. 32, 2024, pp. 1012-1022.  
K. Park, H.-G. Jung, T.-S. Eom, and S.-W. Lee, "Uncertainty-Aware Portfolio Management with Risk-Sensitive Multi-Agent Network," IEEE Trans. on Neural Networks and Learning Systems, Vol. 35, 2024, pp. 362-375.  
2023
ㆍInternational Journals
Y.-E. Kim, Y.-W. Lee, and S.-W. Lee, "LC-MSM: Language-Conditioned Masked Segmentation Model for Unsupervised Domain Adaptation," Pattern Recognition, Vol. 148, 2023, pp. 110201.  
K.-M. Jin, G.-H. Lee, W.-J. Nam, T.-K. Kang, H.-W. Kim, and S.-W. Lee, "Masked Kinematic Continuity-aware Hierarchical Attention Network for Pose Estimation in Videos," Neural Networks, Vol. 169, 2023, pp. 282-292.  
K. Yin, E.Y. Lim, and S.-W. Lee, "GITGAN: Generative Inter-subject Transfer for EEG Motor Imagery Analysis," Pattern Recognition, Vol 146, 2023, pp. 110015.  
H.-W. Kim, G.-H. Lee, W.-J. Nam, K.-M. Jin, T.-K. Kang, G.-J. Yang, and S.-W. Lee, "MHCanonNet: Multi-Hypothesis Canonical Lifting Network for Self-supervised 3D Human Pose Estimation in the wild Video," Pattern Recognition, Vol. 145, 2023, pp. 109908.  
M. Lee, H.-G. Kwak, H.-J. Kim, D.-O. Won, and S.-W. Lee, "SeriesSleepNet: An EEG Time Series Model with Partial Data Augmentation for Automatic Sleep Stage Scoring," Frontiers in Physiology, Vol. 14, 2023, pp. 1188678.  
S.-H. Na, W.-J. Nam, and S.-W. Lee, "Toward Practical and Plausible Counterfactual Explanation through Latent Adjustment in Disentangled Space," Expert Systems with Applications, Vol. 233, 2023, pp. 120982.  
Y.-E. Lee, H. M. Husin, M.-P. Forte, S.-W. Lee, and K. J. Kuchenbecker, "Learning to Estimate Palpation Forces in Robotic Surgery from Visual-Inertial Data," IEEE Trans. on Medical Robotics and Bionics, Vol. 5, No. 3, 2023, pp. 496-506.  
D.-H. Lee, J.-H. Jeong, B.-W. Yu, T.-E. Kam, and S.-W. Lee, "Autonomous System for EEG-based Multiple Abnormal Mental States Classification Using Hybrid Deep Neural Networks Under Flight Environment," IEEE Trans. on Systems, Man and Cybernetics: Systems, Vol. 53, No. 10, 2023, pp. 6426-6437.  
W. Hyun, W.-J. Nam, and S.-W. Lee, "Dissimilate-and-assimilate strategy for video anomaly detection and localization," Neurocomputing, Vol. 522, No. 14, 2023, pp.203-213.  
J.-S. Bang, D.-O. Won, T.-E. Kam, and S.-W. Lee, "Motion Sickness Prediction based on Dry EEG in Real Driving Environment," IEEE Trans. on Intelligent Transportation Systems, Vol. 24, No. 5, 2023, pp. 5442-5455.  
H.-J. Ahn, D.-H. Lee, J.-H. Jeong, and S.-W. Lee, "Multiscale Convolutional Transformer for EEG Classification of Mental Imagery in Different Modalities," IEEE Trans. on Neural Systems and Rehabilitation Engineering, Vol. 31, 2023, pp. 646-656.  
J. Kalafatovich, M. Lee, and S.-W. Lee, "Learning Spatiotemporal Graph Representations for Visual Perception using EEG Signals," IEEE Trans. on Neural Systems and Rehabilitation Engineering, Vol. 31, 2023, pp. 97-108.  
H.-G. Jung, W.-J. Nam, H.-W. Kim, and S.-W. Lee, "Weakly Supervised Thoracic Disease Localization via Disease Masks," Neurocomputing, Vol. 517, No.14, 2023, pp. 34-43.  
Y.-E. Kim, W.-J. Nam, K. S. Min, and S.-W. Lee, "Style Selective Normalization with Meta Learning for Test-Time Adaptive Face Anti-Spoofing," Expert Systems with Applications, Vol. 214, 2023, pp. 119106.  
J.-H. Jeong, J.-H. Cho, B.-H. Lee, and S.-W. Lee, "Real-Time Deep Neurolinguistic Learning Enhances Non-Invasive Neural Language Decoding for Brain-Machine Interaction," IEEE Trans. on Cybernetics, Vol. 53, No. 12, 2023, pp. 7469-7482.  
S. K. Prabhakar and S.-W. Lee, "Holistic Approaches to Music Genre Classification using Efficient Transfer and Deep Learning Techniques," Expert Systems with Applications, Vol. 211, 2023, pp. 118636.  
D.-O. Won, Y.-N. Jang, and S.-W. Lee, "PlausMal-GAN: Plausible Malware Training Based on Generative Adversarial Networks for Analogous Zero-day Malware Detection," IEEE Trans. on Emerging Topics in Computing, Vol. 11, No. 1, Jan. 2023, pp. 82-94.  
2022
ㆍInternational Journals
K. Min, G. Lee, and S.-W. Lee, "Attentional Feature Pyramid Network for Small Object Detection," Neural Networks, Vol. 155, 2022, pp. 439-450.  
S.-J. Kim, D.-H. Lee, and S.-W. Lee, "Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals," IEEE Access, Vol.10, 2022, pp. 96984-96996.  
K. Jenifer, M. Lee, and S.-W. Lee, "Decoding Declarative Memory Process for Predicting Memory Retrieval based on Source Localization," Plos one, Vol. 17, No. 9, 2022, pp. e0274101.  
R. M. Mehmood, M. Bilalb, S. Vimal, and S.-W. Lee, "EEG-based Affective State Recognition from Human Brain Signals by Using Hjorth-Activity," Measurement, Vol. 202, 2022, pp. 111830.  
H.-G. Jung, S.-H. Kang, H.-D. Kim, D.-O. Won, and S.-W. Lee, "Counterfactual Explanation Based on Gradual Construction for Deep Networks," Pattern Recognition, Vol. 132, 2022, pp. 108958.  
M. Lee, Y.-H. Kim, and S.-W. Lee, "Motor Impairment in Stroke Patients is Associated with Network Properties During Consecutive Motor Imagery," IEEE Trans. on Biomedical Engineering, Vol. 69, No. 8, 2022, pp. 2604-2615.  
J.-H. Jeong, J.-H. Cho, Y.-E. Lee, S.-H. Lee, G.-H. Shin, Y.-S. Kweon, J. R. Millán, K.-R. Müller, and S.-W. Lee, "2020 International Brain-Computer Interface Competition: A Review," Frontiers in Human Neuroscience, Vol. 16, 2022, pp. 898300.  
Y. K. Kim, M. Lee, H.-S. Song, and S.-W. Lee, "Automatic Cardiac Arrhythmia Classification Using Residual Network Combined with Long Short-term Memory," IEEE Trans. on Instrumentation & Measurement, Vol. 71, 2022, pp. 1-17.  
S. K. Prabhakar, and S.-W. Lee, "SASDL and RBATQ: Sparse Autoencoder with Swarm based Deep Learning and Reinforcement based Q-learning for EEG Classification," IEEE Open Journal of Engineering in Medicine and Biology, Vol. 3, 2022, pp. 58-68.  
D.-G. Lee, and S.-W. Lee, "Human Interaction Recognition Framework based on Interacting Body Part Attention," Pattern Recognition, Vol. 128, 2022, pp. 108645.  
S. K. Prabhakar, and S.-W. Lee, "Improved Sparse Representation with Robust Hybrid Feature Extraction Models and Deep Learning for EEG Classification," Expert Systems with Applications, Vol. 198, 2022, pp. 116783.  
S.-H. Lee, H.-R. Noh, W.-J. Nam, and S.-W. Lee, "Duration Controllable Voice Conversion via Phoneme-Based Information Bottleneck," IEEE Trans. on Audio, Speech and Language Processing, Vol. 30, 2022, pp. 1173-1183.  
M. Lee, L. R. D. Sanz, A. Barra, A. Wolff, J. O. Nieminen, M. Boly, M. Rosanova, S. Casarotto, O. Bodart, J. Annen, A. Thibaut, R. Panda, V. Bonhomme, M. Massimini , G. Tononi, S. Laureys, O. Gosseries, and S.-W. Lee, "Quantifying Arousal and Awareness in Altered States of Consciousness using Interpretable Deep Learning," Nature Communications, Vol. 13, No. 1, 2022, pp. 1-14.  
D.-Y. Lee, J.-H. Jeong, B.-H. Lee, and S.-W. Lee, "Motor Imagery Classification Using Inter-Task Transfer Learning via A Channel-Wise Variational Autoencoder-based Convolutional Neural Network," IEEE Trans. on Neural Systems and Rehab. Engineering, Vol. 30, 2022, pp. 226-237.  
Y. Xue, Y. Zhang, L. Zhang, S.-W. Lee, L. Qiao, and D. Shen, "Learning Brain Functional Networks With Latent Temporal Dependency for MCI Identification," IEEE Trans. on Biomedical Engineering, Vol. 69, No. 2, 2022, pp. 590-601.  
S. Kim, H.-J. Yang, N. A. T. Nguyen, S. K. Prabhakar, and S.-W. Lee, "WeDea: A New EEG-based Framework for Emotion Recognition," IEEE Journal of Biomedical and Health Informatics, Vol. 26, No. 1, 2022, pp. 264-275.  
S.K. Prabhakar, and S.-W. Lee, "ENIC: Ensemble and Nature Inclined Classification with Sparse Depiction based Deep and Transfer Learning for Biosignal Classification," Applied Soft Computing, Vol. 117, 2022, pp. 108416.  
F. Zhao, X. Zhang, K.-H. Thung, N. Mao, S.-W. Lee, and D. Shen, "Constructing Multi-view High-order Functional Connectivity Networks for Diagnosis of Autism Spectrum Disorder," IEEE Trans. on Biomedical Engineering, Vol. 69, No. 3, 2022, pp. 1237-1250.  
J.-H. Cho, J.-H. Jeong, and S.-W. Lee, "NeuroGrasp: Real-Time EEG Classification of High-Level Motor Imagery Tasks Using A Dual-Stage Deep Learning Framework," IEEE Trans. on Cybernetics, Vol. 52, No. 12, 2022, pp. 13279-13292.  
J.-S. Bang, M.-H. Lee, S. Fazli, C. Guan, and S.-W. Lee, "Spatio-Spectral Feature Representation for Motor Imagery Classification using Convolutional Neural Networks," IEEE Trans. on Neural Networks and Learning Systems, Vol. 33, No. 7, 2022, pp. 3038-3049.  
2021
ㆍInternational Journals
Y.-E. Lee, G.-H. Shin, M. Lee, and S.-W. Lee, "Mobile BCI dataset of scalp- and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running," Scientific Data, Vol. 8, No. 315, 2021.  
S.-H. Kim, A. Nguyen, H.-J. Yang, and S.-W. Lee, "eRAD-Fe: Emotion Recognition-Assisted Deep Learning Framework," IEEE Trans. on Instrumentation & Measurement, Vol. 70, 2021, pp. 1-12.  
D.-Y. Lee, M. Lee, and S.-W. Lee, "Decoding Imagined Speech Based on Deep Metric Learning for Intuitive BCI Communication," IEEE Trans. on Neural Systems & Rehabilitation Engineering, Vol. 29, 2021, pp. 1363-1374.  
M. Lee, J.-H. Jeong, Y. Kim, and S.-W. Lee, "Decoding Finger Tapping with the Affected Hand in Chronic Stroke Patients during Motor Imagery and Execution," IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 29, 2021, pp. 1099-1109.  
G. Kim, H.-G. Jung, and S.-W. Lee, "Spatial Reasoning for Few-Shot Object Detection," Pattern Recognition, Vol. 120, 2021, pp. 1-10.  
J.-Y. Kim, Y. J. Yun, J. Chung, C.-Y. Kim, K.-R. Muller, and S.-W. Lee, "Leaf inspired homeostatic cellulose biosensors," Science Advances, Vol. 7, No. 6, 2021, pp. 1-11.  
J.-W. Seo, H.-G. Jung, and S.-W. Lee, "Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning," Neural Networks, Vol. 138, 2021, pp. 140-149.  
J.-J. Kim, D. G. Lee, J. Wu, H.-G. Jung, and S.-W. Lee, "Visual Question Answering based on Local-Scene-Aware Referring Expression Generation," Neural Networks, Vol. 139, 2021, pp. 158-167.  
K. Zhang, N. Robinson, S.-W. Lee, and C. Guan, "Adaptive Transfer Learning for EEG Motor Imagery Classification with Deep Convolutional Neural Network," Neural Networks, Vol. 136, No. 1, 2021, pp. 1-10.  
K. Kim, J.-H. Jeong, J.-H. Cho, S. Kim, J. Kang, J. Ryu, and S.-W. Lee, "Development of Human-Display Interface with Vibrotactile Feedback for a Real-World Assistive Application," Sensors, Vol. 21, No.2, 2021, pp. 592-608.  
S.-H. Kim, H.-J. Yang, N. A. T. Nguyen, and S-W. Lee, "AsEmo: Automatic Approach for EEG-Based Multiple Emotional State Identification," IEEE Journal of Biomedical and Health Informatics, Vol. 25, No. 5, 2021, pp. 1508-1518.  
J. Xue, K. He, D. Nie, E. Adeli, Z. Shi, S.-W. Lee, Y. Zheng, X. Liu, D. Li, and D. Shen, "Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Sengmentation," IEEE Trans. on Cybernetics, Vol. 51, No. 4, 2021, pp. 2153-2165.  
F. Zhao, Z. Chen, P. Liu, N. Mao, S.-W. Lee, and D. Shen, "A Novel Unit-Based Personalized Fingerprint Feature Selection Strategy for Dynamic Functional Connectivity Networks," Frontiers in Neuroscience, Vol. 15, 2021, Article 651574.  
2020
ㆍInternational Journals
P. Bertens, and S.-W. Lee, "Network of Evolvable Neural Units Can Learn Synaptic Learning Rules and Spiking Dynamics," Nature Machine Intelligence, Vol. 2, 2020, pp. 791–799.  
D.-O. Won, K.-R. Müller, and S.-W. Lee, "An adaptive deep reinforcement learning framework enables curling robots with human-like performance in real world conditions," Science Robotics, Vol. 5, Issue 46, 2020, pp. 1-14.  
H.-G. Jung and S.-W. Lee, "Few-Shot Learning with Geometric Constraints," IEEE Trans. on Neural Networks and Learning Systems, Vol. 31, No. 11, 2020, pp. 4660-4672.  
Y.-E. Lee, N.-S. Kwak, and S.-W. Lee, "A Real-Time Movement Artifact Removal Method for Ambulatory Brain-Computer Interfaces," IEEE Trans. on Neural Systems & Rehabilitation Engineering, Vol. 28, No.12, 2020, pp. 2660-2670.  
S.-H. Lee, M. Lee, and S.-W. Lee, "Neural Decoding of Imagined Speech and Visual Imagery as Intuitive Paradigms for BCI Communication," IEEE Trans. on Neural Systems & Rehabilitation Engineering, Vol. 28, No. 12, 2020, pp. 2647-2659.  
O.-Y. Kwon, M.-H. Lee, C. Guan, and S.-W. Lee, "Subject-Independent Brain-Computer Interfaces Based on Deep Convolutional Neural Networks," IEEE Trans. on Neural Networks and Learning Systems, Vol. 31, No. 10, 2020, pp. 3839-3852.  
J.-H. Jeong, K.-H. Shim, D.-J. Kim, and S.-W. Lee, "Brain-Controlled Robotic Arm System based on Multi-Directional CNN-BiLSTM Network using EEG Signals," IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 28, No.5, 2020, pp. 1226-1238.  
J.-H. Jeong, B.-H. Lee, D.-H. Lee, Y.-D. Yun, and S.-W. Lee, "EEG Classification of Forearm Movement Imagery Using A Hierarchical Flow Convolutional Neural Network," IEEE Access, Vol. 8, 2020, pp. 66941-66950.  
D.-H. Yoon, N.-G. Cho, and S.-W. Lee, "A Novel Online Action Detection Framework from Untrimmed Video Streams," Pattern Recognition, Vol. 106, 2020, pp. 1-11.  
J.-H. Jeong, N.-S. Kwak, C. Guan, and S.-W. Lee, "Decoding Movement-Related Cortical Potentials based on Subject-Dependent and Section-Wise Spectral Filtering," IEEE Trans. on Neural Systems & Rehabilitation Engineering, Vol. 28, No. 3, 2020, pp. 687-698.  
N.-S. Kwak and S.-W. Lee, "Error Correction Regression Framework for Enhancing the Decoding Accuracies of Ear-EEG Brain-Computer Interfaces," IEEE Trans. on Cybernetics, Vol. 50, No. 8, 2020, pp. 3654-3667.  
J.-H. Jeong, J.-H. Cho, K.-H. Shim, B.-H. Kwon, B.-H. Lee, D.-Y. Lee, D.-H. Lee, and S.-W. Lee, "Multimodal signal dataset for 11 intuitive movement tasks from single upper extremity during multiple recording sessions," GigaScience, Vol. 9, No. 10, 2020, pp. 1-15.  
D.-H. Lee, J.-H. Jeong, K.D. Kim, B.-W. Yu, and S.-W. Lee, "Continuous EEG Decoding of Pilots' Mental States using Multiple Feature Block-based Convolutional Neural Network," IEEE Access, Vol. 8, 2020, pp. 121929-121941.  
S. K. Prabhakar, and S.-W. Lee, "Transformation Based Tri-level Feature Selection Approach using Wavelets and Swarm Computing for Prostate Cancer Classification," IEEE Access, Vol. 8, 2020, pp. 127462-127476.  
S. K. Prabhakar, and S.-W. Lee, "An Integrated Approach for Ovarian Cancer Classification with the Application of Stochastic Optimization," IEEE Access, Vol. 8, 2020, pp. 127866-127882.  
K.-T. Kim, C. Guan, and S.-W. Lee, "A Subject-Transfer Framework based on Single-Trial EMG Analysis using Convolutional Neural Networks," IEEE Trans. on Neural Systems and Rehabilitation Engineering, Vol. 28, No. 1, 2020, pp. 94-103.  
M. Lee, J.-G. Yoon and S.-W. Lee, "Predicting Motor Imagery Performance From Resting-State EEG Using Dynamic Causal Modeling," Frontiers in Human Neuroscience, Vol. 14, No. 321, 2020, pp. 1-15.  
B.-H. Lee, J.-H. Jeong, and S.-W. Lee, "SessionNet: Feature Similarity-based Weighted Ensemble Learning for Motor Imagery Classification," IEEE Access, Vol. 8, 2020, pp. 134524-134535.  
S.-S. Kim, I.-Y. Gwak, and S.-W. Lee, "Coarse-to-Fine Deep Learning of Continuous Pedestrian Orientation Based on Spatial Co-occurrence Feature," IEEE Trans. on Intelligent Transportation Systems, Vol. 21, No. 6, 2020, pp. 2522-2533.  
M. Lee, G.-H. Shin, and S.-W. Lee, "Frontal EEG Asymmetry of Emotion for the Same Auditory Stimulus," IEEE Access, Vol. 12, 2020, pp. 107200-107213.  
S. Xu, E. Adeli, J.-Z. Cheng, L. Xiang, Y. Li, S.-W. Lee, and D. Shen, "Mammographic mass segmentation using multichannel and multiscale fully convolutional networks," International Journal of Imaging Systems and Technology, Vol. 30, No. 4, 2020, pp. 1095-1107.  
S. K. Prabhakar, H. Rajaguru, and S.-W. Lee, "A Framework for Schizophrenia EEG Signal Classification with Nature Inspired Optimization Algorithms," IEEE Access, Vol. 8, 2020, pp. 39875-39897.  
Y.-J. Kim, D.-G. Lee, and S.-W Lee, "Three-Stream Fusion Network for First-Person Interaction Recognition," Pattern Recognition, Vol. 103, 2020, pp. 1-9.  
J.-H. Park, W.-J. Nam, and S.-W. Lee, "A Two-Stream Symmetric Network with Bidirectional Ensemble for Aerial Image Matching," Remote Sensing, Vol. 12, 2020, doi:10.3390/rs12030465.  
M.-S. Yun, W.-J. Nam, and S.-W. Lee, "Coarse-to-Fine Deep Metric Learning for Remote Sensing Image Retrieval," Remote Sensing, Vol. 12, No. 2, 2020, doi:10.3390/rs12020219.  
S.-H. Kim, H.-J. Yang, N.A. Nguyen, R. M. Mehmood, and S.-W. Lee, "Parameter Estimation using Unscented Kalman Filter on the Gray-box Model for Dynamic EEG System Modeling," IEEE Trans. on Instrumentation & Measurement, Vol. 69, No. 9, 2020 pp. 6175-6185.  
S.-Y. Han, N.-S. Kwak, T. Oh, and S.-W. Lee, "Classification of Pilots’ Mental States using a Multimodal Deep Learning Network," Biocybernetics and Biomedical Engineering, Vol. 40, No. 1, 2020, pp. 324-336.  
Y. Shi, H.-I. Suk, Y. Gao, S.-W. Lee, and D. Shen, "Leveraging Coupled Interaction for Multimodal Alzheimer’s Disease Diagnosis," IEEE Trans. on Neural Networks and Learning Systems, Vol. 31, No. 1, 2020, pp. 186-200.  
2019
ㆍInternational Journals
M. Lee, C.-B. Song, G.-H. Shin, and S.-W. Lee, "Possible Effect of Binaural Beat combined with Autonomous Sensory Meridian Response for Inducing Sleep," Frontiers in Human Neuroscience, Vol.13, No. 425, 2019, pp. 1-16.  
S. K. Prabhakar, H. Rajaguru, and S.-W. Lee, "Metaheuristic Based Dimensionality Reduction and Classification Analysis of PPG Signals for Interpreting Cardiovascular Disease," IEEE Access, Vol. 7, 2019, pp. 165181-165206.  
M.-H. Lee, J. Williamson, Y.-J. Kee, S. Fazli, and S.-W. Lee, "Robust Detection of Event-Related Potentials in a User-Voluntary Short-Term Imagery Task," PLOS ONE, Vol. 14, No. 12, 2019, e0226236.  
J.-H. Jeong, B.-W. Yu, D.-H. Lee, and S.-W. Lee, "Classification of Drowsiness Levels Based on a Deep Spatio-Temporal Convolutional Bidirectional LSTM Network Using Electroencephalography Signals," Brain Sciences, Vol. 9, 2019, pp. 1-18.  
M. Lee, B. Baird, O. Gosseries, J. O. Nieminen, M. Boly, B. Postle, G. Tononi, and S.-W. Lee, "Connectivity Differences between Consciousness and Unconsciousness in Non-rapid Eye Movement Sleep: a TMS–EEG Study," Scientific Reports, Vol. 9, No. 1, 2019, pp. 1-9.  
Y. Hou, X. Qu, G. Liu, S.-W. Lee, and D. Shen, "Block-extraction and Haar Transform-Based Linear Singularity Representation for Image Enhancement," Mathematical Problems in Engineering, Article ID 6395147, 2019, pp. 1-14.  
S.-B. Lee, H.-J. Kim, H. Kim, J.-H. Jeong, S.-W. Lee, and D.-J. Kim, "Comparative Analysis of Features Extracted from EEG Spatial, Spectral and Temporal Domains for Binary and Multiclass Motor Imagery Classification," Information Sciences, Vol. 502, 2019, pp. 190-200  
W.-H. Song, H.-G. Jung, I.-Y. Gwak, and S.-W. Lee, "Oblique Aerial Image Matching based on Iterative Simulation and Homography Evaluation," Pattern Recognition, Vol. 87, No. 3, 2019, pp. 317-331.  
D.-G. Lee and S.-W. Lee, "Prediction of Partially Observed Human Activity based on Pre-trained Deep Representation," Pattern Recognition, Vol. 85, No. 1, 2019, pp. 198-206.  
H. Zhang, P. Giannakopoulos, S. Haller, D. Shen, S.-W. Lee, and S. Qiu, "Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment," Neuroinformatics, Vol. 17, No. 4, 2019, pp. 547-561.  
M.-H. Lee, O.-Y. Kwon, Y.-J. Kim, H.-K. Kim, Y.-E. Lee, J. Williamson, S. Fazli, and S.-W. Lee, "EEG Dataset and OpenBMI Toolbox for Three BCI Paradigms: An Investigation into BCI Illiteracy," GigaScience, Vol. 8, No. 5, 2019, pp. 1-16.  
R. Yu, L. Qiao, M. Chen, S.-W. Lee, X. Fei, and D. Shen, "Weighted Graph Regularized Sparse Brain Network Construction for MCI Identification," Pattern Recognition, Vol. 90, 2019, pp. 220-231.  
L. Fang, L. Zhang, D. Nie, X. Cao, I. Rekik, S.-W. Lee, H. He, and D. Shen, "Automatic Brain Labeling via Multi-atlas Guided Fully Convolutional Networks," Medical Image Analysis, Vol. 51, 2019, pp. 157-168.  
Y. Zhang, H. Zhang, X. Chen, M. Liu, X. Zhu, S.-W. Lee, and D. Shen, "Strength and Similarity Guided Group-Level Brain Functional Network Construction for MCI Diagnosis," Pattern Recognition, Vol. 88, 2019, pp. 421-430.  
F. Zhao, I. Rekik, S.-W. Lee, J. Liu, J. Zhang, and D. Shen, "Two-Phase Incremental Kernel PCA for Learning Massive or Online Datasets," Complexity, Vol. 2019, Article ID 5937274, 2019, pp. 1-17.  
D.-O. Won, B.-R. Lee, K.-S. Seo, H.-J. Kim, and S.-W. Lee, "Alteration of Coupling between Brain and Heart induced by Sedation with Propofol and Midazolam," PLOS ONE, Vol. 14, 2019, pp. 1-20.  
X. Zhu, H.-I. Suk, S.-W. Lee, D. Shen, "Discriminative Self-representation Sparse Regression for Neuroimaging-based Alzheimer’s Disease Diagnosis," Brain Imaging and Behavior, Vol. 13, 2019, pp. 27-40.  
H. Huang, X. Liu, Y. Jin,S.‐W. Lee, C.‐Y. Wee, D. Shen, "Enhancing the Representation of Functional Connectivity Networks by Fusing Multi‐view Information for Autism Spectrum Disorder Diagnosis," Human Brain Mapping, Vol. 40, 2019, pp. 833–854.  
2018
ㆍInternational Journals
N.-G. Cho, A. Yuille, and S.-W. Lee, "A Novel Linelet-based Representation for Line Segment Detection," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 40, No. 5, 2018, pp. 1195-1208.  
L. Fang, L. Zhang, D. Nie, X. Cao, I. Rekik, S.-W. Lee, H. He, D. Shen, "Automatic Brain Labeling via Multi-Atlas Guided Fully Convolutional Networks," Medical Image Analysis, Vol.51, 2018, pp.157-168.  
M.-H. Lee, J. Williamson, Y.-E. Lee, and S.-W. Lee, "Mental Fatigue in Central and Peripheral Field SSVEP and Its Effects on ERP Responses," NeuroReport, Vol. 29, 2018, pp. 1301-1308.  
K.-H. Thung, P.-T. Yap, E. Adeli, S.-W. Lee, D. Shen, "Conversion and Time-to-Conversion Predictions of Mild Cognitive Impairment using Low-Rank Affinity Pursuit Denoising and Matrix Completion," Medical Image Analysis, vol.45, 2018, pp. 68-82.  
M.-H. Lee, J. Williamson, D.-O. Won, S. Fazli and S.-W. Lee, "A High Performance Spelling System based on EEG-EOG Signals with Visual Feedback," IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 26, No. 7, 2018.  
H. Huang, J. Lu, J. Wu, Z. Ding, Shuda Chen, L. Duan, J.-L. Cui, F. Chen, D.-Z. Kang, L. Qi, W. Qiu, S.-W. Lee, S. Qiu, D. Shen, Y.-F. Zang, H. Zhang, "Tumor Tissue Detection using Blood-Oxygen-Level-Dependent Functional MRI based on Independent Component Analysis," Scientific Reports, Vol. 8, Issue 1, 2018, article 1223.  
Z. Wu, Y. Guo, S.- H. Park, Y. Gao, P. Dong, S.-W. Lee, D. Shen, "Robust Brain ROI Segmentation by Deformation Regression and Deformable Shape Model," Medical Image Analysis, Vol. 43, 2018, pp. 198-213.  
P.-S. Kim, D.-G. Lee, S.-W. Lee, "Discriminative Context Learning with Gated Recurrent Unit for Group Activity Recognition," Pattern Recognition, Vol. 76, 2018, pp. 149-161.  
D.-O. Won, H.-J. Hwang, D.-M. Kim, K.-R. Müller, and S.-W. Lee, "Motion-based Rapid Serial Visual Presentation for Gaze-Independent Brain-Computer Interfaces," IEEE Trans. on Neural Systems & Rehabilitation Engineering, Vol. 26, Issue 2, 2018, pp. 334-343.  
2017
ㆍInternational Journals
K.-S. Seo, S.-I. Chi, H.-J. Kim, S.-K. Yeom, D.-O. Won, S.-W. Lee, "Patient Controlled Sedation and Changes of EEG During Dental Treatment," Anesthesia and Analgesia, Vol.124, 2017, pp. 115-116.  
M. Lee, R. D. Sanders, S.-K. Yeom, D.-O. Won, K.-S. Seo, H. J. Kim, G. Tononi, and S.-W. Lee, "Network Properties in Transitions of Consciousness during Propofol-Induced Sedation," Scientific Reports, Vol. 7, Issue 1, 2017, article 16791.  
Y. Zhang, H. Zhang, X. Chen, S.-W. Lee, D. Shen, "Hybrid High-order Functional Connectivity Networks Using Resting-state Functional MRI for Mild Cognitive Impairment Diagnosis," Scientific Reports, Vol. 7, Issue 1, 2017, article 6530.  
X. Chen, H. Zhang, S.-W. Lee, D. Shen, "Hierarchical High-Order Functional Connectivity Networks and Selective Feature Fusion for MCI Classification," Neuroinformatics, Vol. 15, Issue 3, 2017, pp. 271-284.  
S.-K. Yeom, D.-O. Won, S.-I. Chi, K.-S. Seo, H.- J. Kim, K.-R. Müller, and S.-W. Lee, "Spatio-temporal Dynamics of Multimodal EEG-fNIRS Signals in the Loss and Recovery of Consciousness under Sedation using Midazolam and Propofol," PLOS ONE, Vol. 12, Issue 11, 2017, pp. 1-22.  
T.-E. Kam, H.-I. Suk, and S.-W. Lee, "Multiple Functional Networks Modeling for Autism Spectrum Disorder Diagnosis," Human Brain Mapping, Vol. 38, Issue 11, 2017, pp. 5804-5821.  
X. Zhu, H.-I. Suk, S.-W. Lee, and D. Shen, "Discriminative Self-Representation Sparse Regression for Neuroimaging-based Alzheimer’s Disease Diagnosis," Brain Imaging and Behavior, 2017, pp. 1-14.  
X. Chen, H. Zhang, L. Zhang, C. Shen, S.-W. Lee, and D. Shen, "Extraction of Dynamic Functional Connectivity from Brain Grey Matter and White Matter for MCI Classification," Human Brain Mapping, Vol. 38, Issue 10, 2017, pp. 5019-5034.  
N.-G. Cho, S.-H. Park, J.-S. Park, U.-S. Park, and S.-W. Lee, "Compositional Interaction Descriptor for Human Interaction Recognition," Neurocomputing, Vol. 267, 2017, pp. 169-181.  
S.-H. Kim, L. Li, F. Christos, H.-J. Yang, and S.-W. Lee, "DAPs: Mining using Change-Point Detection of Epileptic Activity Time Series Data," Journal of Information Science & Engineering, Vol. 33, Issue 2, 2017, pp. 517-536.  
B.-K. Min, H.-I. Suk, M.-H. Ahn, M.-H. Lee, and S.-W. Lee, "Individual Identification using Cognitive Electroencephalographic Neurodynamics," IEEE Trans. on Information Forensics & Security, Vol. 12, Issue 9, 2017, pp. 2159-2167.  
L. An, E. Adeli, M. Liu, J. Zhang, S.-W. Lee, D. Shen, "A Hierarchical Feature and Sample Selection Framework and Its Application for Alzheimer’s Disease Diagnosis," Scientific Reports, 2017, article 45269.  
X. Zhu, H.-I. Suk, L. Wang, S.-W. Lee, and D. Shen, "A Novel Relational Regularization Feature Selection Method for Joint Regression and Classification in AD Diagnosis," Medical Image Analysis, Vol. 38, 2017, pp. 205-214.  
J.-H. Yoo, S.-W. Lee, S.-K. Park, and D.-H. Kim, "A Robust Lane Detection Method Based on Vanishing Point Estimation Using the Relevance of Line Segments," IEEE Trans. on Intelligent Transportation Systems, Vol. 19, No. 12, 2017, pp. 3254 - 3266.  
N.-S. Kwak, K. Muller, and S.-W. Lee, "A Convolutional Neural Network for Steady State Visual Evoked Potential Classification under Ambulatory Environment," PLOS One, Vol. 12, No. 2, 2017, article 0172578.  
S.-H. Kim, H.-J. Yang, and S.-W. Lee, "FitMine: Automatic Mining for Time-evolving Signals of Cardiotocography Monitoring," Data Mining and Knowledge Discovery, Vol. 34, Issue 4, 2017, pp. 909-933.  
W. Jiang, F. Shi, H. Liu, G. Li, Z. Ding, H. Shen, C. Shen, S.-W. Lee, D. Hu, W. Wang, and D. Shen, "Reduced White Matter Integrity in Antisocial Personality Disorder: A Diffusion Tensor Imaging Study," Scientific Reports, 2017, article 43002.  
H.-I. Suk, S.-W. Lee and D. Shen, "Deep Ensemble Learning of Sparse Regression Models for Brain Disease Diagnosis," Medical Image Analysis, Vol. 37, 2017, pp. 101-113.  
J.-H. Jhong, J.-Y. Koo, and S.-W. Lee, "Penalized B-Spline Estimator for Regression Functions using Total Variation Penalty," Journal of Statistical Planning and Inference, Vol. 184, 2017, pp. 77-93.  
M.-C. Roh, D. Kang, S.-J. Huh, and S.-W. Lee, "A Virtual Mouse Interface with A Two-Layered Bayesian Network," Multimedia Tools and Applications, Vol. 76, 2017, pp. 1615-1638.  
2016
ㆍInternational Journals
W. Jiang, G. Li, H. Liu, F. Shi, T. Wang, C. Shen, H. Shen, S.-W. Lee, D. Hu, W. Wang, D. Shen, "Reduced Cortical Thickness and Increased Surface Area in Antisocial Personality Disorder," Neuroscience, Vol. 337, 2016, pp. 143-152.  
S.-H. Kim, C. Faloutsos, H.-J. Yang, and S.-W. Lee, "Parameter Pattern Discovery in Nonlinear Dynamic Model for EEGs Analysis," Journal of Integrative Neuroscience, Vol. 15, No. 3, 2016, pp. 381-402.  
H.-I. Suk, S.-W. Lee, and D. Shen, "Deep Sparse Multi-Task Learning for Feature Selection in Alzheimer’s Disease Diagnosis," Brain Structure and Function, Vol. 221, Issue 5, 2016, pp. 2569-2587.  
Y. Chen, A. Atnafu, I. Schlattner, W. Weldtsadik, M.-C. Roh, H.-J. Kim, S.-W. Lee, B. Blankertz, and S. Fazli, "A High-Security EEG-based Login System with RSVP Stimuli and Dry Electrodes," IEEE Trans. on Information Forensics & Security, Vol. 11, Issue 12, 2016, pp. 2625-2647.  
K.-T. Kim, H.-I. Suk, and S.-W. Lee, "Commanding a Brain-Controlled Wheelchair using Steady-State Somatosensory Evoked Potentials," IEEE Trans. on Neural Systems & Rehabilitation Engineering, Vol. 26, Issue 3, 2016, pp. 654 - 665.  
G. Kim and S.-W. Lee, "Bayesian Test for Hazard Ratio in Survival Analysis," SpringerPlus, Vol. 5, No. 649, DOI: 10.1186/s40064-016-2210-9.  
H.-I. Suk, C.-Y. Wee, S.-W. Lee, and D. Shen, "State-Space Model with Deep Learning for Functional DynamicsEstimation in Resting-State fMRI," NeuroImage, Vol. 129, 2016, pp. 292-307.  
M.-C. Roh, S. Fazli, and S.-W. Lee, "Selective Temporal Filtering and Its Application to Hand Gesture Recognition," Applied Intelligence, Vol. 45, 2016, pp. 255-264.  
X. Zhu, H.-I. Suk, S.-W. Lee, and D. Shen, "Subspace Regularized Sparse Multi-Task Learning for Multi-Class Neurodegenerative Disease Identification," IEEE Trans. on Biomedical Engineering, Vol. 64, Issue 3, 2016, pp. 607-618.  
K.-H. Park, H.-I. Suk, and S.-W. Lee, "Position-Independent Decoding of Movement Intention for Proportional Myoelectric Interfaces," IEEE Trans. on Neural Systems & Rehabilitation Engineering, Vol. 24, Issue 9, 2016, pp. 928-939.  
X. Zhu, H.-I. Suk, S.-W. Lee, D. Shen, "Canonical Feature Selection for Joint Regression and Multi-class Identification in Alzheimer's Disease Diagnosis," Brain Imaging and Behavior, Vol. 10, Issue 3, 2016, pp. 818-828.  
2015
ㆍInternational Journals
T.-E. Kam, D.J. Mannion, S.-W. Lee, K. Doerschner, and D.J. Kersten, "Human Visual Cortical Responses to Specular and Matte Motion Flows," Frontiers in Human Neuroscience, Vol. 9, 2015, article 579.  
M.-H. Lee, B.-J. Kim, and S.-W. Lee, "Quantifying Movement Intentions with Multimodal Neuroimaging for FES-based Rehabilitation," NeuroReport, Vol. 27, Issue. 2, 2015, pp. 61-67.  
D.-H. Kim, L. Kim, W. Park, W.-H. Chang, Y.-H. Kim, S.-W. Lee, and G.-H. Kwon, "Analysis of Time-dependent Brain Network on Active and MI Tasks for Chronic Stroke Patients," PLOS ONE, Vol. 10, Issue 12, 2015, e0139441.  
D.-O. Won, H.-J. Hwang, S. Daehne, K.-R. Muller, and S.-W. Lee, "Effect of Higher Frequency on the Classification of Steady State Visual Evoked Potentials," Journal of Neural Engineering, Vol. 13, No. 1, 2015, pp. 1-11.  
N.-S. Kwak, K.-R. Muller, S.-W. Lee, "A Lower Limb Exoskeleton Control System based on Steady State Visual Evoked Potentials," Journal of Neural Engineering, Vol. 12, No. 5, 2015, pp. 1-14.  
M.-H. Lee, S. Fazli, J. Mehnert, and S.-W. Lee, "Subject-Dependent Classification for Robust Idle State Detection using Multi-Modal Neuroimaging and Data-Fusion Techniques in BCI," Pattern Recognition, Vol. 48, No. 8, 2015, pp. 2725-2737.  
N.-G. Cho, Y.-J. Kim, U. Park, J.-S. Park, and S.-W. Lee, "Group Activity Recognition with Group Interaction Zone based on Relative Distance between Human Objects," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 29, No. 5, 2015, pp. 1-15.  
J. Kim, J. Schultz, T. Rohe, C. Wallraven, S.-W. Lee, and H. Bülthoff, "Abstract Representations of Associated Emotions in the Human Brain," Journal of Neuroscience, Vol. 35, Issue 14, 2015, pp. 5655-5663.  
S.-S. Cho, A.-R. Lee, H.-I. Suk, J.-S. Park, and S.-W. Lee, "Volumetric Spatial Feature Representation for View-Invariant Human Action Recognition using a Depth Camera," Optical Engineering, Vol. 54, Issue 3, 2015, article 033102.  
D.-G. Lee, H.-I Suk, S.-K. Park, and S.-W. Lee, "Motion Influence Map for Unusual Human Activity Detection and Localization in Crowded Scenes," IEEE Trans. on Circuits and Systems for Video Technology, Vol. 25, No. 10, 2015, pp. 1612-1623.  
J.-H. Kim, F. Bießmann, and S.-W. Lee, "Decoding Three-Dimensional Trajectory of Executed and Imagined Arm Movements from Electroencephalogram Signals," IEEE Trans. on Neural Systems & Rehabilitation Engineering, Vol. 24, 2015.  
H.-I. Suk, C.-Y. Wee, S.-W. Lee, and D. Shen, "Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis," Neuroinformatics, Vol. 13, No. 3, 2015, pp. 277-295.  
M.-C. Roh and S.-W. Lee, "Human Gesture Recognition Using A Simplified Dynamic Bayesian Network," Multimedia Systems, Vol. 21, Issue 6, 2015, pp. 557-568.  
I.-H. Kim, J.-W. Kim, S. Haufe, and S.-W. Lee, "Detection of Braking Intention in Diverse Situations during Simulated Driving based on EEG Feature Combination," Journal of Neural Engineering, Vol. 12, No. 1, 2015, pp. 1-12.  
H.-I. Suk, S.-W. Lee, D. Shen, "Latent Feature Representation with Stacked Auto-Encoder for AD/MCI Diagnosis," Brain Structure and Function, Vol. 220, No. 2, 2015, pp. 841-859.   
2014
ㆍInternational Journals
M. Kim, G. Wu, Q. Qang, S.-W. Lee, and D. Shen, "Improved Image Registration by Sparse Patch-Based Deformation Estimation," NeuroImage, Vol. 105, 2014, pp. 257-268.  
S.-K. Yeom, S. Fazli, K. Muller, and S.-W. Lee, "An Efficient ERP-based Brain-Computer Interface using Random Set Presentation and Face Familiarity," PLOS ONE, Vol. 9, Issue 11, 2014, e111157.  
H.-I. Suk, S.-W. Lee, and D. Shen, "Hierarchical Feature Representation and Multimodal Fusion with Deep Learning for AD/MCI Diagnosis," NeuroImage, Vol. 101, 2014, pp. 569-582.   
H.-I. Suk, S.-W. Lee, and D. Shen, "Subclass-based Multi-task Learning for Alzheimers Disease Diagnosis," Frontiers in Aging Neuroscience, Vol. 6, 2014, article 168.   
D. Kang, H. Han, A. K. Jain, and S.-W. Lee, "Nighttime Face Recognition at Large Standoff: Cross-Distance and Cross-Spectral Matching," Pattern Recognition, Vol. 47, No. 12, 2014, pp. 3750-3766.   
X. Liu, Q. Xu, S. Yan, G. Wang, H. Jin, and S.-W. Lee, "Nonnegative Tensor Cofactorization and Its Unified Solution," IEEE Trans. on Image Processing, Vol. 23, No. 9, 2014, pp. 3950-3961.   
G. Bang, N.-H. Hur, and S.-W. Lee, "Post-processing of 3D Video Extension of H.264/AVC for a Quality Enhancement of Synthesized View Sequences," ETRI Journal, Vol. 36, No. 2, 2014, pp. 242-252,  
I. Thornton, H. H. Buelthoff, T. S. Horowitz, A. Rynning, and S.-W. Lee, "interactive Multiple Object Tracking (iMOT)," PLOS ONE, Vol. 9, No. 2, 2014, e86974.   
H.-I. Suk, J. Mehnert, S. Fazli, K. Muller, and S.-W. Lee, "Predicting BCI Subject Performance Using Probabilistic Spatio-Temporal Filters," PLOS ONE, Vol. 9, No. 2, 2014, e87056.   
2013
ㆍInternational Journals
S. Fazli and S.-W. Lee, "Brain Computer Interfacing: A Multi-Modal Perspective," Journal of Computing Science and Engineering, Vol. 7, No. 2, pp.132-138, 2013.   
H.-D. Yang and S.-W. Lee, "Robust Sign Language Recognition by Combining Manual and Non-Manual Features Based on Conditional Random Field and Support Vector Machine," Pattern Recognition Letters, Vol. 34, No. 16, 2013, pp. 2051-2056.   
X.Y. Ding and S.-W. Lee, "Cocaine Addiction Related Reproducible Brain Regions of Abnormal Default-Mode Network Functional Connectivity: A Group ICA Study with Different Model Orders," Neuroscience Letters, Vol. 548, No. 26, 2013, pp. 110–114.   
U. Park, H. Choi, A. K. Jain, and S.-W. Lee, "Face Tracking and Recognition at a Distance: A Coaxial & Concentric PTZ Camera System," IEEE Trans. on Information Forensics and Security, Vol. 8, No. 10, 2013, pp. 1665-1677.   
H. Chae, I. Jung, H. Lee, S. Marru, S.-W. Lee, and S. Kim, "Bio and Health Informatics Meets Cloud : BioVLab as an Example," Health Information Science and Systems, Vol. 1, 2013, pp. 1-6.   
H. Chae, J. Park, S.-W. Lee, K. Nephew, and S. Kim, "Comparative Analysis using K-mer and K-flank Patterns Provides Evidence for CpG Island Sequence Evolution in Mammalian Genomes," Nucleic Acids Research, Vol. 41, No. 9, 2013, pp. 4783-4791.   
X. Ding and S.-W. Lee, "Changes of Functional and Effective Connectivity in Smoking Replenishment on Deprived Heavy Smokers: A Resting-State fMRI Study," PLOS ONE, Vol. 8, No. 3, 2013, e59331.   
H.-I. Suk and S.-W. Lee, "A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 35, No. 2, 2013, pp. 286-299.   
N.-G. Cho, A. Yuille, and S.-W. Lee, "Adaptive Occlusion State Estimation for Human Pose Tracking under Self-Occlusions," Pattern Recognition, Vol. 46, No. 3, 2013, pp. 649–661.   
S.-K. Yeom, H.-I. Suk, and S.-W. Lee, "Person Authentication from Neural Activity of Face-Specific Visual Self-Representation," Pattern Recognition, Vol. 46, No. 4, 2013, pp. 1159-1169.   
X. Ding, J.-H. Lee, and S.-W. Lee, "Performance Evaluation of Nonnegative Matrix Factorization Algorithms to Estimate Task-related Neuronal Activities from fMRI Data," Magnetic Resonance Imaging, Vol. 31, No.3, 2013, pp.466–476.   
T.-E. Kam, H.-I. Suk, and S.-W. Lee, "Non-Homogeneous Spatial Filter Optimization for ElectroEncephaloGram-Based Motor Imagery Classification," Neurocomputing, Vol. 108, No. 2, 2013, pp. 58-68.   
2012
ㆍInternational Journals
H.-I. Suk, Y. Wang, S.-W. Lee, "Incremental Sparse Pseudo-input Gaussian Process Regression," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 26, No.8, 2012, 1250019.   
H.-D. Yang, H.-I. Suk, and S.-W. Lee, "Accelerating Generalized Iterative Scaling Based on Staggered Aitken Method for On-line Conditional Random Fields," International Journal of Wavelets, Multiresolution and Information Processing, Vol. 10, No.6, 2012, 1250059.   
D. Hur, H.-I. Suk, C. Wallraven, and S.-W. Lee, "Biased Manifold Learning for View Invariant Body Pose Estimation," International Journal of Wavelets, Multiresolution and Information Processing, Vol. 10, No. 6, 2012, 1250058.   
C.-Y. Lu, M.-C. Roh, S.-Y. Kang, and S.-W. Lee, "Automatic Logo Transition Detection in Digital Video Contents," Pattern Analysis and Applications, Vol. 15, No. 2, 2012, pp. 175-187.   
D. Van De Ville and S.-W. Lee, "Brain Decoding: Opportunities and Challenges for Pattern Recognition," Pattern Recognition, Vol. 45, No. 6, 2012, pp. 2033-2034.   
Y.-B. Lee, U. Park, A. K. Jain, and S.-W. Lee, "Pill-ID: Matching and Retrieval of Drug Pill Images," Pattern Recognition Letters, Vol. 33, No. 7, 2012, pp. 904-910.   
2011
ㆍInternational Journals
H.-I. Suk, A. K. Jain, and S.-W. Lee, "A Network of Dynamic Probabilistic Models for Human Interaction Analysis," IEEE Trans. on Circuits and Systems for Video Technology, Vol. 21, No. 7, 2011, pp. 932-945.   
S.-W. Lee, "Guest Editorial: Special Issue on Pattern Recognition in Neuroimaging," International Journal of Imaging Systems and Technology - Neuroimaging and Brain-Mapping, Vol. 21, No. 2, 2011, pp. 121-122.   
H.-I. Suk and S.-W. Lee, "Subject and Class Specific Frequency Bands Selection for Multi-Class Motor Imagery Classification," International Journal of Imaging Systems and Technology - Neuroimaging and Brain-Mapping, Vol. 21, No. 2, 2011, pp. 123-130.   
C.-B. Park and S.-W. Lee, "Real-Time 3D Pointing Gesture Recognition for Mobile Robots with Cascade HMM and Particle Filter," Image and Vision Computing, Vol. 29, No. 1, 2011, pp. 51-63.   
2010
ㆍInternational Journals
M. Ahmad, I. Parvin, and S.-W. Lee, "Silhouette History and Energy Image Information for Human Movement Recognition," Journal of Multimedia, Vol. 5, No. 1, 2010, pp. 12-21.  
H.-I. Suk, B.-K. Shin, and S.-W. Lee, "Hand Gesture Recognition Based on Dynamic Bayesian Network Framework," Pattern Recognition, Vol. 43, No. 9, 2010, pp. 3059-3072.   
H.-D. Yang and S.-W. Lee, "Simultaneous Spotting of Signs and Fingerspellings Based on Hierarchical Conditional Random Fields and BoostMap Embeddings," Pattern Recognition, Vol. 43, No. 8, 2010, pp. 2858-2870.   
M.-C. Roh, H.-K. Shin, and S.-W. Lee, "View-Independent Human Action Recognition with Volume Motion Template on Single Stereo Camera," Pattern Recognition Letters, Vol. 31, No. 7, May 2010, pp. 639-647.   
M. Ahmad and S.-W. Lee, "Variable Silhouette Energy Image Representations for Recognizing Human Actions," Image and Vision Computing, Vol. 28, No. 5, May 2010, pp. 814-824.   
2009
ㆍInternational Journals
H.-D. Yang, S. Sclaroff, and S.-W. Lee, "Sign Language Spotting with a Threshold Model Based on Conditional Random Fields," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 31, No. 7, July 2009, pp. 1264-1277.   
2008
ㆍInternational Journals
J.-S. Park and S.-W. Lee, "An Example-based Face Hallucination Method for Single-frame, Low-resolution Facial Images," IEEE Trans. on Image Processing, Vol. 17, No. 10, 2008, pp. 1806-1816.   
S.-W. Lee, S. Kang, and S.-W. Lee, "A Walking Guidance System for the Visually Impaired," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 22, No. 6, 2008, pp. 1171 - 1186.   
S.-W. Lee, P. S. P. Wang, S. N. Yanushkevich, and S.-W. Lee, "Noniterative 3D Face Reconstruction Based on Photometric Stereo," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 22, No. 3, 2008, pp. 389-410.   
M. Ahmad and S.-W. Lee, "Human Action Recognition Using Shape and CLG-Motion Flow from Multi-View Image Sequences," Pattern Recognition, Vol. 41, No. 7, 2008, pp. 2237-2252.   
M.-C. Roh, B. Christmas, J. Kittler, and S.-W. Lee, "Gesture Spotting for Low-Resolution Sports Video Annotation," Pattern Recognition, Vol. 41, No. 3, 2008, pp. 1124-1137.   
2007
ㆍInternational Journals
M.-C. Roh and S.-W. Lee, "Performance Analysis of Face Recognition Algorithms on Korean Face Database," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 21, No. 6, 2007, pp. 1017-1033.   
B.-W. Hwang, S. Kim, and S.-W. Lee, "A Full-Body Gesture Database for Human Gesture Analysis," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 21, No. 6, 2007, pp. 1069-1084.   
H.-D. Yang and S.-W. Lee, "Reconstruction of 3D Human Body Pose from Stereo Image Sequences based on Top-down Learning," Pattern Recognition, Vol. 40, No. 11, 2007, pp. 3120-3131.   
S.-W. Lee, S.-H. Moon, and S.-W. Lee, "Face Recognition under Arbitrary Illumination Using Illuminated Exemplars," Pattern Recognition, Vol. 40, No. 5, 2007, pp. 1605-1620.   
H.-D Yang, A.-Y. Park, and S.-W. Lee, "Gesture Spotting and Recognition for Human-Robot Interaction," IEEE Trans. on Robotics, Vol. 23, No. 2, 2007, pp. 256-270.   
M.-C. Roh, T.-Y. Kim, J. Park and S.-W. Lee, "Accurate Object Contour Tracking Based on Boundary Edge Selection," Pattern Recognition, Vol. 40, No. 3, 2007, pp.931-943.   
2006
ㆍInternational Journals
S.-W. Lee, J. Park, and S.-W. Lee, "Low Resolution Face Recognition Based on Support Vector Data Description," Pattern Recognition, Vol. 39, No.9, 2006, pp.1809-1812.   
H.-D. Yang, S.-W. Lee and S.-W. Lee, "Multiple Human Detection and Tracking Based on Weighted Temporal Texture Features," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 20, No. 3, 2006, pp. 377-391.   
S.-W. Lee, H.-C Jung, B.-W. Hwang and S.-W. Lee, "Authenticating Corrupted Photo Images Based on Noise Parameter Estimation," Pattern Recognition, Vol. 39, No. 5, 2006, pp. 910-920.   
2005
ㆍInternational Journals
H.-J. Kang and S.-W. Lee, "Combination of Multiple Classifiers by Minimizing the Upper Bound of Bayes Error Rate for Unconstrained Handwritten Numeral Recognition," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 19, No. 3, 2005, pp. 395-413.    
S.-C. Park, S.-H. Lim, B.-K. Sin and S.-W. Lee, "Tracking Non-Rigid Objects Using Probabilistic Hausdorff Distance Matching," Pattern Recognition, Vol. 38, Issue 12, 2005, pp. 2373-2384.   
J.-S. Park, Y.-H. Oh, S.-C. Ahn, and S.-W. Lee, "Glasses Removal from Facial Image Using Recursive Error Compensation," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 27, No. 5, 2005, pp. 805-811.   
D. Xi and S.-W. Lee, "Extraction of Reference Lines and Items from Form Document Images," Pattern Recognition, Vol. 38, No. 2, Feb. 2005, pp. 289-305.   
2004
ㆍInternational Journals
S.-C. Park, H.-S. Lee, and S.-W. Lee, "Qualitative Estimation of Camera Motion Parameters from Linear Composition of Optical Flow," Pattern Recognition, Vol. 37, No. 4, Apr. 2004, pp. 767-779.   
2003
ㆍInternational Journals
B.-W. Hwang and S.-W. Lee, "Reconstruction of Partially Damaged Face Images Based on a Morphable Face Model," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 25, No. 3, 2003, pp. 365-372.   
S. Kang, B.-W. Hwang, and S.-W. Lee, "Multiple People Tracking Based on Temporal Color Feature," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 17, No. 6, 2003, pp. 931-949.   
S.-W. Lee and A. Verri, "Support Vector Machines for Computer Vision and Pattern Recognition," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 17, No. 3, 2003, pp. 331-332.   
S. Kang, H. Byun, and S.-W. Lee, "Real-Time Pedestrian Detection Using Support Vector Machines," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 17, No. 3, 2003, pp. 405-416.    
H. Byun and S.-W. Lee, "A Survey on Pattern Recognition Applications of Support Vector Machines," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 17, No. 3, 2003, pp. 459-486.   
2002
ㆍInternational Journals
S. Kang and S.-W. Lee, "Real-Time Tracking of Multiple Objects in Space-Variant Vision Based on Magnocellular Visual Pathway," Pattern Recognition, Vol. 35, No. 10, 2002, pp. 2022-2040.   
J.-Y. Lee, J.-S. Park, H.-R. Byun, and S.-W. Lee, "Automatic Generation of Structured Hyperdocuments from Document Images," Pattern Recognition, Vol. 35, No. 2, 2002, pp. 485-503.   
2001
ㆍInternational Journals
S.-W. Lee and D.-S. Ryu, "Parameter-Free Geometric Document Layout Analysis," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 23, No. 11, 2001, pp. 1240-1256.   
M.-S. Lee, Y.-M. Yang, and S.-W. Lee, "Automatic Video Parsing Using Shot Boundary Detection and Camera Operation Analysis," Pattern Recognition, Vol. 34, No. 3, 2001, pp. 711-719.   
H.-S. Park, B.-K. Shin, J. Moon, and S.-W. Lee, "A 2-D HMM Method for Off-Line Handwritten Character Recognition," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 15, No. 1, 2001, pp. 91-105.    
J. Park, H.-Y. Kim, Y. Park, and S.-W. Lee, "A Synthesis Procedure for Associative Memories Based on Space-Varying Cellular Neural Networks," Neural Networks, Vol. 14, No. 1, 2001, pp. 107-113.   
2000
ㆍInternational Journals
S.-W. Lee, Y.-M. Kim, and S. W. Choi, "Fast Scene Change Detection Using Direct Feature Extraction from MPEG Compressed Videos," IEEE Trans. on Multimedia, Vol. 2, No. 4, 2000, pp. 240-254.   
S.-H. Choi and S.-W. Lee, "Region Tracking Using Perspective Motion Model," Pattern Recognition, Vol. 33, No. 12, 2000, pp. 2095-2098.   
1999
ㆍInternational Journals
S.-W. Lee and S.-Y. Kim, "Integrated Segmentation and Recognition of Handwritten Numerals with Cascade Neural Networks," IEEE Trans. on Systems, Man and Cybernetics, Vol. 29, No. 2, 1999, pp. 285-290.   
1998
ㆍInternational Journals
H.-S. Park and S.-W. Lee, "A Truly 2-D Hidden Markov Model for Off-Line Handwritten Character Recognition," Pattern Recognition, Vol. 31, No. 12, 1998, pp. 1849-1864.   
H.-H. Song and S.-W. Lee, "A Self-Organizing Neural Tree for Large-Set Pattern Classification," IEEE Trans. on Neural Networks, Vol. 9, No. 3, 1998, pp. 369-380.   
Y. Y. Tang, L.-T. Tu, J. Liu, S.-W. Lee, W. W. Lin, and I.-S. Shyu, "Offline Recognition of Chinese Handwriting by Multifeature and Multilevel Classification," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 20, No. 5, 1998, pp. 556-561.   
D. Doermann, S.-W. Lee, S. Srihari, K. Tombre, and A. Rosenfeld, "Editorial," International Journal on Document Analysis and Recognition, Vol. 1, No. 1, 1998, pp. 1-2.   
H.-S. Park, H.-H. Song, and S.-W. Lee, "A Self-Organizing Hierarchical Classifier for Multi-Lingual Large-Set Oriental Character Recognition," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 12, No. 2, 1998, pp. 191-208.    
S.-Y. Kim and S.-W. Lee, "Gray-Scale Nonlinear Shape Normalization Method for Handwritten Oriental Character Recognition," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 12, No. 1, 1998, pp. 81-95.    
S.-W. Lee, Y.Y. Tang, and P.S.P. Wang, "Oriental Document Analysis and Recognition Techniques," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 12, No. 1, 1998, pp. 1-4.    
1997
ㆍInternational Journals
S.-W. Lee and H.-H. Song, "A New Recurrent Neural-Network Architecture for Visual Pattern Recognition," IEEE Trans. on Neural Networks, Vol. 8, No. 2, 1997, pp. 331-340.   
S.-W. Lee, "Oriental Character Recognition," Pattern Recognition, Vol. 30, No. 8, 1997, pp. 1253-1254.   
1996
ㆍInternational Journals
S.-W. Lee, C.-H. Kim, Y. Y. Tang, and H. Ma, "Multiresolution Recognition of Unconstrained Handwritten Numerals with Wavelet Transform and Multilayer Cluster Neural Network," Pattern Recognition, Vol. 29, No. 12, 1996, pp. 1953-1961.   
Y. Y. Tang, S.-W. Lee, and C. Y. Suen, "Automatic Document Processing: A Survey," Pattern Recognition, Vol. 29, No. 12, 1996, pp. 1931-1952.   
S.-W. Lee, D.-J. Lee, and H.-S. Park, "A New Methodology for Gray-Scale Character Segmentation and Recognition," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 18, No. 10, 1996, pp. 1045-1050.   
S.-W. Lee and H.-S. Park, "Multi-Lingual Large-Set Oriental Character Recognition Using a Hierarchical Neural Network Classifier," International Journal on Computer Processing of Oriental Languages, Vol. 10, No. 2, 1996, pp. 129-145.    
S.-W. Lee, "Off-Line Recognition of Totally Unconstrained Handwritten Numerals Using Multilayer Cluster Neural Network," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 18, No. 6, 1996, pp. 648-652.   
H.-S. Park and S.-W. Lee, "Off-Line Recognition of Large-Set Handwritten Characters with Multiple Hidden Markov Models," Pattern Recognition, Vol. 29, No. 2, 1996, pp. 231-244.   
S.-W. Lee, E.-S. Kim, and Y. Y. Tang, "Nonlinear Shape Restoration of Distorted Images with Coons Transformation," Pattern Recognition, Vol. 29, No. 2, 1996, pp. 217-229.   
H.-H. Song and S.-W. Lee, "LVQ Combined with Simulated Annealing for Optimal Design of Large-Set Reference Models," Neural Networks, Vol. 9, No. 2, 1996, pp. 329-336.   
1995
ㆍInternational Journals
W.-G. Cho, S.-W. Lee, and J. H. Kim, "Modeling and Recognition of Cursive Words with Hidden Markov Models," Pattern Recognition, Vol. 28, No. 12, 1995, pp. 1941-1953.   
J.-S. Park and S.-W. Lee, "Adaptive Nonlinear Shape Matching for Unconstrained Handwritten Character Recognition," Pattern Recognition, Vol. 28, No. 8, 1995, pp. 1223-1235.   
S.-W. Lee and Y.-J. Kim, "Direct Extraction of Topographic Features for Gray Scale Character Recognition," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 17, No. 7, 1995, pp. 724-729.   
S.-W. Lee, "Multilayer Cluster Neural Network for Totally Unconstrained Handwritten Numeral Recognition," Neural Networks, Vol. 8, No. 5, 1995, pp. 783-792.   
~1994
ㆍInternational Journals
S.-W. Lee and K.-C. Kim, "Address Block Location on Handwritten Korean Envelopes by the Merging and Splitting Method," Pattern Recognition, Vol. 27, No. 12, 1994, pp. 1641-1651.   
S.-W. Lee and E.-S. Kim, "Efficient Postprocessing Algorithms for Error Correction in Handwritten Hangul Address and Human Name Recognition," Pattern Recognition, Vol. 27, No. 12, 1994, pp. 1631-1640.   
S.-W. Lee and H.-H. Song, "Optimal Design of Reference Model for Large-Set Handwritten Character Recognition," Pattern Recognition, Vol. 27, No. 9, 1994, pp. 1267-1274.   
S.-W. Lee and J.-S. Park, "Nonlinear Shape Normalization Methods for the Recognition of Large-Set Handwritten Characters," Pattern Recognition, Vol. 27, No. 7, 1994, pp. 895-902.   
S.-W. Lee and Y.-R. Kwon, "Distribution of Information Contents and Entropy of Hangul Character Images," International Journal on Computer Processing of Chinese and Oriental Languages, Vol. 7, No. 2, 1993, pp. 223-231.    
S.-W. Lee, L. Lam, and C. Y. Suen, "A Systematic Evaluation of Skeletonization Algorithms," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 7, No. 5, 1993, pp. 1203-1225.    
L. Lam, S.-W. Lee, and C. Y. Suen, "Thinning Methodologies - A Comprehensive Survey," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 14, No. 9, Sep. 1992, pp. 869-885.   
S.-W. Lee, J.- H. Kim, and F. Groen, "Translation-, Rotation-, and Scale-Invariant Recognition of Hand-Drawn Symbols in Schematic Diagrams," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 4, No. 1, 1990, pp. 1-25.    
S.-W. Lee and J. Kim, "Unconstrained Seal Imprint Verification Using Attributed Stroke Graph Matching," Pattern Recognition, Vol. 22. No. 6, 1989, pp. 653-664.   
S.-W. Lee and J. Kim, "Automatic Entity Verification by Seal Imprint," International Journal of Computer Processing of Chinese and Oriental Languages, Vol. 4, No. 2, 1989, pp. 112-123.    
S.-W. Lee and J. Kim, "Attributed Stroke Graph Matching for Seal Imprint Verification," Pattern Recognition Letters, Vol. 9, No. 2, 1989, pp. 137-145.   
S.-W. Lee, J. Kim, and F. Groen, "A Fast Computational Method for Minimum Square Error Transform," Pattern Recognition Letters, Vol. 15, No. 1, 1988, pp. 143-146.   

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