PUBLICATIONS

Google Scholar Citation

https://scholar.google.com/citations?user=MXUabqcAAAAJ&hl=ko

* Corresponding author, † Co-first author

• “A Comprehensive Survey on Machine Learning Advances in Veterinary Medicine,” IEEE Reviews in Biomedical Engineering, 2024, Under review.
  (2022-JCR-IF: 17.6, JIF PERCENTILE TOP 2.0%)

• “SEPO-CMR: A Deep Learning-Based Software to Calculate Muscle Cell Fusion Index in Cultured Meat Research,” Computers and Electronics in Agriculture, 2024, Under review.
  (2022-JCR-IF: 8.3, JIF PERCENTILE TOP 1.0%)

• “Precision Beekeeping IoT System for Bee Robustness : A Survey,” IEEE Internet of Things Journal, 2024, Under Review.
  (2022-JCR-IF: 10.6, JIF PERCENTILE TOP 2.5%)

• “Lifestyle Recommendation System Using Explainable AI-based Sleep Efficiency Prediction,” IEEE Journal of Biomedical and Health Informatics, 2024, Under review.
  (2022-JCR-IF: 7.7, JIF PERCENTILE TOP 7.2%)

• “Short-Term Brain-Machine Learning System for Real-Time EEG Decoding,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024, Major Revision.
  (2022-JCR-IF: 8.7, JIF PERCENTILE TOP 5.0%)

• “Automatic Sleep Stage Classification Using Nasal Pressure Decoding Based on a Multi-Kernel Convolutional BiLSTM Network,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024, Major Revision.
  (2022-JCR-IF: 4.9, JIF PERCENTILE TOP 5.8%)

• “WUDI: A Human Involved Self-Adaptive Framework to Prevent Childhood Obesity in Internet of Things Environment,” IEEE Internet of Things Journal, 2024, Under Review.
  (2022-JCR-IF: 10.6, JIF PERCENTILE TOP 2.5%)

• “Deep Learning-based Ensemble Method to Predict Individual Pig Prices with Multi-Source Information,” IEEE Transactions on Multimedia, 2024, Under Review.
  (2022-JCR-IF: 7.3, JIF PERCENTILE TOP 5.5%)

• “Calibration-Free Driver Drowsiness Classification with Prototype-Based Multi-Domain Mixup,” IEEE Transactions on Intelligent Transportation Systems, 2024, Under Review.
  (2022-JCR-IF: 8.5, JIF PERCENTILE TOP 2.8%)

• M. Lee, H.-Y. Park, W. Park, K.-T. Kim, Y.-H. Kim*, and J.-H. Jeong*, “Multi-task Heterogeneous Ensemble Learning-based Cross-Subject EEG Classification under Stroke Patients,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024, Accepted.
  (2022-JCR-IF: 4.9, JIF PERCENTILE TOP 5.8%)

• 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, Vol. 24, No. 4, 2024, pp. 2282-2293.
  (2022-JCR-IF: 7.7, JIF PERCENTILE TOP 7.2%)

• J.-M. Kim, K.-S. Heo, D.-H. Shin, H. Nam, D.-O. Won, J.-H Jeong, and T.-E. Kam*, “A Learnable Continuous Wavelet-based Multi-Branch Attentive Convolutional Neural Network for Spatio-Spectral-Temporal EEG Signal Decoding,” Expert Systems with Applications, 2024, Accepted.
  (2022-JCR-IF: 8.5, JIF PERCENTILE TOP 6.9%)

• D.-J. Lee, D.-H. Shin, Y.-H. Son, J.-W. Han, J.-H. Oh, D.-H Kim, J.-H. Jeong, and T.-E Kam*, “Spectral Graph Neural Network-based Multi-atlas Brain Network Fusion for Major Depressive Disorder Diagnosis,” IEEE Journal of Biomedical and Health Informatics, 2024, Accepted.
  (2022-JCR-IF: 7.7, JIF PERCENTILE TOP 7.2%)

• H.-Y. Park and J.-H. Jeong* "Towards Brain-Computer Interface based Communication Tool utilizing EEG Signals Integrated with Large Language Model," 9th Edition of International Conference on Neurology and Neurological Disorders (Neurology 2024), Paris, France, Jun. 20-22, 2024. 

• H. Oh, K. Jeong, J.-H. Jeong, and E. Lee  "LINK: Self-Adaptive System with Human-Machine Teaming-based Loop for Interoperability in IoT Environments," The 39th ACM/SIGAPP Symposium On Applied Computing (SAC'24), Avila, Sapin, Apr. 8-12, 2-24. 

• S.-H. Yu, Y.-M. Go, H.-Y. Park, S.-J. Lee, M. Lee, and J.-H Jeong*, “Towards Motor Imagery Classification of Finger Tapping by Both Hands for Controlling a Finger-Arm Bionic Robot,” Proc. 12th International Winter Conference on Brain-Computer Interface (BCI), South Korea, Feb. 26–28, 2024.

• K. Jeong, D.-R. Kim, J.-H. Ryu, H.-W. Kim, J. Cho, E. Lee, J.-H. Jeong*, "A Monitoring System for Cattle Behavior Detection Using YOLO-v8 in IoT Environments," 2024 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NY, USA, Jan. 5-8, 2024. 

• K. Jeong, E. Ko, H. Oh, G. Cho, H. Seo, J. Choi, J.-H. Jeong, E. Lee, "Method to Predict and Explain Taste Preference Using Pork Characteristics and Consumer Information," 2024 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NY, USA, Jan. 5-8, 2024. 

• 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 Transactions on Cybernetics, Vol. 53, No. 12, 2023, pp. 7469-7482.
  (2022-JCR-IF: 11.8 JIF PERCENTILE TOP 4.1%)

• 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. Systems, Man and Cybernetics: Systems, Vol. 53, No. 10, 2023, pp. 6426-6437.
  (2022-JCR-IF: 8.7, JIF PERCENTILE TOP 5.0%)

• H.-J. Ahn, D.-H. Lee, J.-H. Jeong, S.-W. Lee., “Multiscale Convolutional Transformer for EEG Classification of Mental Imagery in Different Modalities,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 31, 2023, pp. 646 - 656.
  (2022-JCR-IF: 4.9, JIF PERCENTILE TOP 5.8%)

• S.-H. Yu, H.-Y Park, S.-J Lee, and  J.-H. Jeong*, "Sentence-Level Neural Language Decoding based on Speech Imagery from EEG Signals," Journal of Korean Institute of Information Technology, Vol. 21, No. 8, 2023, pp. 153-164.

• J.-Y. Oh, I.-G Lee, Y.-M Go, E. Lee, and  J.-H. Jeong*, "Leveraging Image Classification and Semantic Segmentation for Robust Cardiomegaly Diagnosis in Pet," Journal of Korean Institute of Information Technology, Vol. 21, No. 8, 2023, pp. 143-152.

• Y.-M. Go, H.-B. Seo, H.-Y. Park, E. Lee, J.-H. Jeong*, "Development of Container Loss Risk Automatic Detection System Based on Deep Learning Framework," KSC 2023(정보과학회 2023 한국소프트웨어 종합학술대회), South Korea, Dec. 20-22, 2023. 

• I.-G Lee, J.-Y. Oh, and J.-H. Jeong*, "Autoencoder-Based Generative Active Learning for Robust Canine Thoracic Radiograph Augmentation," IEEE, 2023 IEEE Seoul Section Student Paper Contest, South Korea, Dec. 02, 2023. 

• S.-H Yu, Y.-M. Go, and J.-H. Jeong*, "Optimizing Factory Sound Data via Cepstral-based Deep Learning Framework for Robust Machinery Anomaly Detection," IEEE, 2023 IEEE Seoul Section Student Paper Contest, South Korea, Dec. 02, 2023. 

• J.-Y. Oh, I.-G. Lee, H.-H. Chang, E.Lee, and J.-H. Jeong*, "Application of A Dual-Stage Deep Learning Framework to Detect Left Atrial Enlargement for Pet Heart Failure," Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC), Hawaii, USA, Oct. 1-4, 2023. 

• H.-Y. Park, S.-H. Yu, S.-J. Lee, and J.-H. Jeong*, "Speech Imagery Decoding for Emotional Expression by Exploring Visual Perception from EEG Signals," Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC), Hawaii, USA, Oct. 1-4, 2023. 

• S.-H. Yu, H.-Y. Park, S.-J. Lee, and J.-H. Jeong*, "EEG Classification of Speech Imagery Paradigm Based on A Subject-Dependent Spectral Filtering," 44th Annual International Conference on the IEEE Engineering in Medicine and Biology Society (EMBC), Sydney, Australia, Jul. 24-28, 2023. 

• J.-H. Jeong* and K.-T. Kim "Brain-machine teaming: Recent advances for neural language decoding from EEG signals," 7th Edition of International Conference on Neurology and Neurological Disorders, Rome, Italy, Jun. 16-17, 2023. 

• 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 Transactions on Cybernetics, Vol. 52, No. 12, 2022, pp. 13279-13292.
  (2022-JCR-IF: 19.188, JIF PERCENTILE TOP 4.1%)

• 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, 2022, Vol 16, 2022, pp.898300.
  (2022-JCR-IF: 2.9, JIF PERCENTILE TOP 40.0%)

• 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 Transactions on Neural Systems and Rehabilitation Engineering, Vol. 30, 2022, pp. 226-237.
  (2022-JCR-IF: 4.9, JIF PERCENTILE TOP 5.8%)

• T.-H. Park, J.-Y. Oh, E. Lee, and J.-H. Jeong*, "Recognition of Pet Heart Failure Using Dual-stream Convolutional Neural Network," Journal of Research Institute for Computer and Information Communication, Vol. 30, No. 2, 2022, pp. 31-25.

• H.-Y. Park, S.-H. Yu, and J.-H. Jeong*, "Towards Brain to Computer Bidirectional Interface Based on Speech Imagery Decoding from EEG Signals," Journal of Research Institute for Computer and Information Communication, Vol. 30, No. 2, 2022, pp. 37-40.

• I.-G. Lee, M.-S. No, E. Lee, and J.-H. Jeong*, "Robust Body Mass Index Prediction of Adolescents Based on Long Short-term Memory Network," Journal of Research Institute for Computer and Information Communication, Vol. 30, No. 2, 2022, pp. 25-29.

• S.-H. Yu, H.-Y. Park, and J.-H. Jeong*, "Recognizing Drowsiness States from EEG Signals Based on Temporal-Spatio Convolutional Neural Networks," Journal of Research Institute for Computer and Information Communication, Vol. 30, No. 2, 2022, pp. 41-45.

• J.-Y. Oh, T.-H. Park, E. Lee, J.-H. Jeong*, "Cardiac Recognition and Abnormal Detection of Pet Heart Failure Using Dual-Stage YOLOv5," ACK 2022(한국정보처리학회 추계학술대회), South Korea, Nov. 3-5, 2022. (Silver Prize 🏆)

• S.-H. Yu, H.-Y. Park, E. Lee, J.-H. Jeong*, "Drowsiness Classification using Convolutional Neural Network based on Electroencephalography Signals," ACK 2022(한국정보처리학회 추계학술대회), South Korea, Nov. 3-5, 2022. (Bronze Prize 🏆)

• H.-Y. Park, S.-H. Yu, E. Lee, J.-H. Jeong*, "Neural Language Decoding based on Speech Imagery Paradigm for Intuitive Brain-Computer Interface," ACK 2022(한국정보처리학회 추계학술대회), South Korea, Nov. 3-5, 2022.

• M.-S. No, I.-G. Lee, E. Lee, J.-H. Jeong*, "Classification of Body Mass Index Degree Based on Deep Neural Network for Digital Healthcare," ACK 2022(한국정보처리학회 추계학술대회), South Korea, Nov. 3-5, 2022.

• D.-Y. Kim, D.-K. Han, J.-H. Jeong, and S.-W. Lee, "EEG-based Driver Drowsiness Classification via Calibration-Free Framework with Domain Generalization," Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC), Prague, Czech Republic, Oct. 9-12, 2022. 

• S. Musellim, D.-K. Han, J.-H. Jeong, and S.-W. Lee, "Prototype-Based Domain Generalization Framework for Subject-Independent Brain-Computer Interfaces," has been accepted for publication in the 44th Annual International Conference on the IEEE Engineering in Medicine and Biology Society, Glasgow, Scotland, Jul. 11-15, 2022. 

• D.-K. Han, S. Musellim, D.-Y. Kim, J.-H. Jeong*, "Confidence-Aware Subject-to-Subject Transfer Learning for Brain-Computer Interface,” Proc. 10th International Winter Conference on Brain-Computer Interface (BCI), South Korea, Feb. 21–23, 2022.

• B.-H. Kwon, B.-H. Lee, J.-H. Cho, J.-H Jeong*, “Decoding Visual Imagery from EEG Signals using Visual Perception Guided Network Training Method,” Proc. 10th International Winter Conference on Brain-Computer Interface (BCI), South Korea, Feb. 21–23, 2022.

• M. Lee†, J.-H. Jeong†, Y. Kim, 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. (2022-JCR-IF: 4.9, JIF PERCENTILE TOP 5.8%)

• K. Kim†, J.-H. Jeong†, J.-H. Cho†, S. Kim, J. Kang, J. Ryu, 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.
  (2022-JCR-IF: 3.9, JIF PERCENTILE TOP 30.1%)

• D.-H. Lee, D.-K. Han, S.-J. Kim, J.-H. Jeong, and S.-W. Lee, “Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC), Melbourne, Australia, Oct. 17–20, 2021 (Oral Presentation).

• J.-S. Bang, and J.-H. Jeong, and D.-O. Won, “Classification of Visual Perception and Imagery based EEG Signals Using Convolutional Neural Networks,” Proc. 9th International Winter Conference on Brain-Computer Interface (BCI), Korea, Feb. 22–24, 2021 (Oral Presentation).

• D.-K. Han and J.-H. Jeong*, “Domain Generalization for Session-Independent Brain-Computer Interface,” Proc. 9th International Winter Conference on Brain-Computer Interface (BCI), Korea, Feb. 22–24, 2021.

• J.-H. Cho, J.-H. Jeong, M.-K. Kim, and S.-W. Lee, “Towards Neurohaptics: Brain-Computer Interfaces for Decoding Intuitive Sense of Touch,” Proc. 9th International Winter Conference on Brain-Computer Interface (BCI), Korea, Feb. 22–24, 2021.

• B.-H. Lee, J.-H. Jeong, and S.-W. Lee, “Non-Parametric Inference based Label Noise Score Estimation for Brain-Computer Interface,” 2021 The Summer Workshop of Brain Engineering Society of Korea, Korea, Aug. 19–20, 2021.

• B.-H. Kwon, J.-H. Jeong, and S.-W. Lee, “Visual Imagery Classification with Deep Neural Network based on Functional Connectivity,” 2021 The Summer Workshop of Brain Engineering Society of Korea, Korea, Aug. 19–20, 2021.

• 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.
  (2022-JCR-IF: 4.9, JIF PERCENTILE TOP 5.8%)

• 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 Transactions on Neural Systems & Rehabilitation Engineering, Vol. 28, No. 3, 2020, pp. 687-698.
  (2022-JCR-IF: 4.9, JIF PERCENTILE TOP 5.8%)

• 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.
  (2022-JCR-IF: 9.2, JIF PERCENTILE TOP 13.19%)

• 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.
  (2022-JCR-IF: 3.9, JIF PERCENTILE TOP 36.3%)

• D.-H. Lee†, J.-H. Jeong†, K. 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.
  (2022-JCR-IF: 3.9, JIF PERCENTILE TOP 36.3%)

• B.-H. Lee†, J.-H. Jeong†, S.-W. Lee, “SessionNet: Feature Similarity-based Weighted Ensemble Learning for Motor Imagery Classification,” IEEE Access, Vol. 8, 2020, pp. 134524-134535.
  (2022-JCR-IF: 3.9, JIF PERCENTILE TOP 36.3%)

• J.-H. Cho, J.-H. Jeong, and S.-W. Lee, “Decoding of Grasp Motions from EEG Signals Based on a Novel Data Augmentation Strategy,” 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, Canada, July 20–24, 2020 (Oral Presentation).

• J.-H. Cho, J.-H. Jeong, D.-J. Kim, and S.-W. Lee, “A Novel Approach to Classify Natural Grasp Actions by Estimating Muscle Activity Patterns from EEG Signals,” Proc. 8th International Winter Conference on Brain-Computer Interface (BCI), Korea, Feb. 26–28, 2020 (Oral Presentation).

• J.-H. Jeong, D.-H. Lee, H.-J. Ahn, and S.-W. Lee, “Towards Brain-Computer Interfaces for Drone Swarm Control,” Proc. 8th International Winter Conference on Brain-Computer Interface (BCI), Korea, Feb. 26–28, 2020.

• B.-H. Lee, J.-H. Jeong, K.-H. Shim, and S.-W. Lee, “Classification of High-Dimensional Motor Imagery Tasks based on An End-to-End Role Assigned Convolutional Neural Network,” Proc. 45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 4–8, 2020.

• D.-Y. Lee, J.-H. Jeong, K.-H. Shim, and S.-W. Lee, “Decoding Movement Imagination and Execution from EEG Signals Using BCI-Transfer Learning Method Based on Relation Network,” Proc. 45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 4–8, 2020.

• B.-H. Kwon, J.-H. Jeong, J.-H. Cho, and S.-W. Lee, “Decoding of Intuitive Visual Motion Imagery Using Convolutional Neural Network under 3D-BCI Training Environment,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC), Toronto, Canada, Oct. 11–14, 2020.

• 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.
  (2022-JCR-IF: 8.1, JIF PERCENTILE TOP 8.2%)

• J.-H. Jeong, K.-H. Shim, D.-J. Kim, and S.-W. Lee, “Trajectory Decoding of Arm Reaching Movement Imageries for Brain-Controlled Robot Arm System,” 2019 41th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Berlin, Germany, July 23–27, 2019 (Oral Presentation).

• S.-H. Lee, M. Lee, J.-H. Jeong, and S.-W. Lee, “Towards an EEG-based Intuitive BCI Communication System Using Imagined Speech and Visual Imagery,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC), Bari, Italy, Oct. 6–9, 2019 (Oral Presentation).

• K.-H. Shim, J.-H. Jeong, B.-H. Kwon, B.-H. Lee, and S.-W. Lee, “Assistive Robotic Arm Control based on Brain-Machine Interface with Vision Guidance using Convolution Neural Network,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC), Bari, Italy, Oct. 6–9, 2019.

• J.-H. Cho, J.-H. Jeong, K.-H. Shim, and S.-W. Lee, “Classification of Various Grasping Tasks based on Temporal Segmentation Method Using EEG and EMG Signals,” Proc. of 8th Graz Brain-Computer Interface Conference (GBCIC), Graz, Austria, Sep. 16–20, 2019.

• Y.-D. Yun, J.-H. Jeong, J.-H. Cho, D.-J. Kim, and S.-W. Lee, “Reconstructing Degree of Forearm Rotation from Imagined movements for BCI-based Robot Hand Control,” 2019 41th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Berlin, Germany, July 23–27, 2019.

• Y.-D. Yun, J.-H. Jeong, and S.-W. Lee, “Decoding of Imagined Forearm Rotation for Brain-Machine Interface Driven Robot Hand Control,” 2019 Symposium of Brain and Artificial Intelligence, Korea, Feb. 21–23, 2019.

• B.-W. Yu, J.-Y. Kim, J.-H. Jeong, T. Oh, H.-S. Yoon, and S.-W. Lee, “Pilot’s Drowsiness Prediction using Multi-variate Linear Regression based on Physiological Signals,” 2019 Symposium of Brain and Artificial Intelligence, Korea, Feb. 21–23, 2019.

• B.-W. Yu, J.-H. Jeong, D.-H. Lee, and S.-W. Lee, “Detection of Pilot’s Drowsiness Based on Multimodal Convolutional Bidirectional LSTM Network,” Lecture Notes in Computer Science(LNCS), Proc. Asian Conference on Pattern Recognition, Springer, pp. 530–543, 2019.

• J.-H. Jeong, K.-T. Kim, D.-J. Kim, and S.-W. Lee, “Decoding of Multi-Directional Reaching Movements for EEG-based Robot Arm Control,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan, Aug. 7–10, 2018 (Oral Presentation).

• J.-H. Cho, J.-H. Jeong, K.-H. Shim, D.-J. Kim, and S.-W. Lee, “Classification of Hand Motions within EEG Signals for Non-Invasive BCI-based Robot Hand Control,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan, Aug. 7–10, 2018 (Oral Presentation).

• M. Lee, B. Baird, O. Gosseries, J.-O. Nieminen, J.-H. Jeong, G. Tononi, and S.-W. Lee, “Classification of Sleep Consciousness based on Filter Bank Common Spatial Pattern,” Proc. of International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI), Montreal, Canada, May 13–17, 2018 (Oral Presentation).

• J.-H. Jeong, K.-T. Kim, Y.-D. Yun, S.-W. Lee, “Design of a Brain-Controlled Robot Arm System based on Upper-Limb Movement Imagery,” Proc. 6th International Winter Conference on Brain-Computer Interface (BCI), Korea, Jan. 15–17, 2018.

• K.-T. Kim, J.-H. Jeong, and S.-W. Lee, “Brain-Inspired Artificial Intelligence and Brain Engineering,” Communications of the Korean Institute of Information Scientists and Engineers, Vol. 36, No. 1, pp. 27–32, 2018.

• J.-H. Jeong, M.-H. Lee, N.-S. Kwak, and S.-W. Lee, “Decoding of Walking Intention Under Lower Limb Exoskeleton Environment Using MRCP Feature,” Proc. of 7th Graz Brain-Computer Interface Conference (GBCIC), Graz, Austria, 18–22, 2017 (Oral Presentation).

• J.-H. Jeong, M.-H. Lee, N.-S. Kwak, and S.-W. Lee, “Single-Trial Analysis of Readiness Potentials for Lower Limb Exoskeleton Control,” Proc. 5th International Winter Conference on Brain-Computer Interface (BCI), Korea, Jan. 9–11, 2017 (Oral Presentation).

• J.-H. Jeong, N.-S. Kwak, and S.-W. Lee, “A Single-Trial EEG Analysis for User-Dependent Robotic Exoskeleton Control,” 2017 Summer Workshop of Brain and Artificial Intelligence, Korea, July 6–8, 2017.

• J.-H. Jeong, N.-S. Kwak, M.-H. Lee, and S.-W. Lee, “Analysis of Movement-Related Cortical Potentials for a Lower Limb Exoskeleton Control,” 2017 Symposium of Brain and Artificial Intelligence, Korea, Feb. 8–10, 2017.

• J.-H. Jeong, N.-S. Kwak, and S.-W. Lee, “Towards Detecting of Walking Intention from Readiness Potentials for a Powered Exoskeleton Control,” Proc. 6th International Brain-Computer Interface Meeting, California, USA, May 30–Jun. 3, 2016.

• M.-H. Lee, K.-T. Kim, Y.-J. Kee, J.-H. Jeong, S.-M. Kim, S. Fazli, and S.-W. Lee, “OpenBMI: A Real-Time Data Analysis Toolbox for Brain-Machine Interfaces,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC), Budapest, Hungary, Oct. 9–12, 2016.

• J.-H. Jeong, M.-H. Lee, and S.-W. Lee, “Walking Intention Analysis based on Readiness Potentials for Lower Limb Exoskeleton Control,” Korea Computer Congress, Communications of the Korean Institute of Information Scientists and Engineers, Korea, June 29–July 1, 2016.