* Corresponding author, † Co-first author
International Conference Proceedings
S.-N Jang, H.-Y. Park, S.-W. Kiim, H. Roh, A.-H. Kim, T.-H. Kam, and J.-H. Jeong*, "Neuro-SIT : Neural Speech Imagery Transformer with Token-Level Representation for Sentence-Level EEG Decoding," The 41th ACM/SIGAPP Symposium On Applied Computing (SAC '26**), Thessaloniki, Greece, Mar. 23-27, 2026.
G. Jo, K. Jeong, H. Seo, J.-H. Jeong, and E. Lee, "Improving Interoperability in Object Detection across Diverse Datasets,“ The 41th ACM/SIGAPP Symposium On Applied Computing (SAC '26**), Thessaloniki, Greece, Mar. 23-27, 2026.
K. Jeong, G. Jo, S. Shin, D. Yu, H. Bae, J. Song, S. An, C. Shin, S.-H. Hyun, J.-H. Jeong, and E. Lee, "ConTexT-Net: Multi-Representation Fusion of Contour and Texture Features for Robust White Blood Cell Classification", IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2025**), Wuhan, China, Dec. 15-18, 2025.
I.-G. Lee, J.-Y. Oh, H. Choi, T.-E. Kam, N. Lee, S.-H. Hyun, E. Lee, J.-H. Jeong*, "EdgeANet: A Transformer-based Edge Representation Learning Network for Canine X-ray Verification," The 28th Medical Image Computing and Computer-Assisted Intervention (MICCAI 2025**), South Korea, Sep. 23-27, 2025.
H. Lee*, E. Jo*, M. Lim, Y.-H. Son, B. Kang, H. Nam, J.-H. Jeong, D.-H. Shin, and T.-E. Kam, "Sparse3Diff: A Diffusion Framework for 3D Reconstruction from Sparse 2D Slices in Volumetric Optical Imaging," The 28th Medical Image Computing and Computer-Assisted Intervention (MICCAI 2025**), South Korea, Sep. 23-27, 2025.
M. Kim, S.-H. Yu, J.-H. Jeong, I. Lee, and W.-G. Son, "Development of a Novel Ensemble Machine Learning Model for Predicting Post-anesthetic Hypoxemia in Mechanically Ventilated Dogs," World Congress of Veterinary Anaesthesia & Analgesia (WCVAA '25), France, Sep. 16-19, 2025.
S.-W. Kim, H.-Y. Park, I.-G. Lee, S.-N. Jang, S.-H. Yu, J.-Y. Oh, G.-M. Moon, J.-H. Jeong*, “Towards A Lightweight Deep Learning Framework for Real-Time Vital Sign Prediction with RGB Cameras,” Proc. 13th International Winter Conference on Brain-Computer Interface (BCI), South Korea, Feb. 24–26, 2025.
S.-N. Jang, H.-Y. Park, S.-W. Kim, S.-H. Yu, M. Lee, J.-H. Jeong*, “Integrated Word2Vec-based Speech Annotations for Enhanced EEG Decoding of Speech Intentions,” Proc. 13th International Winter Conference on Brain-Computer Interface (BCI), South Korea, Feb. 24–26, 2025.
K. Jeong, M. Kim, G. Cho, H. Oh, J. Jeong, Y. Lee, H. Seo, J.-H. Jeong, D. Yu, H. Bae, S.-H. Hyun, and E. Lee "A Two-stage AI Framework to Detect and Classify White Blood Cells for Supporting Diseases Diagnosis in Veterinary Medicine", IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2024**), Lisbon, Portugal, Dec. 3-6, 2024.
J.-Y. Oh, I.-G. Lee, T.-E. Kam, Namsoon Lee, and J.-H. Jeong* "FSS-In: Robust Few-Shot Segmentation with Incremental Noise Learning in Veterinary Radiology," MICCAI 2024** - 3rd Workshop on Applications of Medical AI (AMAI), Marrakesh, Morocco, Oct. 6-8, 2024.
H.-Y. Park, S.-Y. Kim, M.-J. Lee, and J.-H. Jeong* "Lesions Prediction in Post-stroke Patients Using Delta-to-Alpha Ratios Strategy from EEG Signals," 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2024), Orlando, Florida, USA, July. 15-19, 2024.
S.-N. Jang, H.-Y. Park and J.-H. Jeong* "Towards Neurolinguistic Processing Transformer Using EEG Tokenization for Smart Brain-Computer Interaction," 9th Edition of International Conference on Neurology and Neurological Disorders (Neurology 2024), Paris, France, Jun. 20-22, 2024.
I.-G. Lee, J.-Y. Oh, H.-J.Yu, J.-H Kim, K.-D. Eom, and J.-H. Jeong*, "Generative Active Learning with Variational Autoencoder for Radiology Data Generation in Veterinary Medicine," Proc. IEEE International Conference on Artificial Intelligence (CAI), Singapore, Singapore, Jun. 25-27, 2024.
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, Spain, 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.
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*, and S.-W. Lee, "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.
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," 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.
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.
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.
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.
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.
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, “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.
Domestic Conference Proceedings
H.-Y. Park, S.-N. Jang, S.-W. Kim, H. Roh, A.-H. Kim, J.-H. Jeong*, "Attention-based Latent Representation Learning for Cross-Linguistic EEG Decoding," BESK 2025(2025 한국뇌공학회 하계 워크샵), South Korea, July. 10-12, 2025.
S.-N. Jang, H.-Y. Park, S.-W. Kim, H. Roh, A.-H. Kim, J.-H. Jeong*, "EEG-Based Sentence-Level Imagined Speech Decoding with Temporal Tokenization," BESK 2025(2025 한국뇌공학회 하계 워크샵), South Korea, July. 10-12, 2025.
H. Roh, S.-N. Jang, H.-Y. Park, S.-W. Kim, J.-H. Jeong*, "Analysis of the Relationship Between Blood Glucose and Physiological Indicators: Implications for Personalized Health Management," KCC 2025(2025 한국컴퓨터종합학술대회), South Korea, July. 2-4, 2025.
H.-J. Byon, G.-R. Shin, Y.-Y. Im, H.-Y. Park, J.-H. Jeong*, "CNN-based Real-time Affective System for Facial Expression Recognition in OTT Content Viewing," KCC 2025(2025 한국컴퓨터종합학술대회), South Korea, July. 2-4, 2025.
J.-H. Jo, I.-G. Lee, J.-Y. Oh, J.-H. Jeong*, "Development of Active Learning-based Generative Model for Chest Radiograph in Dog," KCC 2025(2025 한국컴퓨터종합학술대회), South Korea, July. 2-4, 2025.
M.-S. Kim, S.-H. Yu, J.-H. Jeong*, "A Enhanced Detection of Anomalies in Industrial Machinery Sounds via Cepstrum-Driven Deep Learning Approach," KCC 2025(2025 한국컴퓨터종합학술대회), South Korea, July. 2-4, 2025.
M.-H. Kim, S.-H. Yu, I.-H. Lee, J.-H. Jeong, W.-G. Son, "Predicting Hypoxemia After Anesthetic Recovery in Dogs Using Machine Learning," KSVC 2025(한국임상수의학회 2025 춘계학술대회), South Korea, May. 17, 2025.
H.-Y Park, S.-N. Jang, S.-W. Kim, H. Roh, J.-H. Jeong*, "Towards Enhanced Cross-Linguistic Sentence-Level Speech Imagery Decoding through EEG Feature Extraction and Subject-Specific Learning," KOSOMBE 2025(2025 대한의용생체공학회 춘계학술대회), South Korea, May. 8-10, 2025.
S.-K. Hong, J.-N. Lee, K.-M.Kim, J.-Y. Oh, J.-H. Jeong*, "Method of Deep Learning-Based Music Symbol Detection Using Watershed Algorithm," KCC 2024(2024 한국컴퓨터종합학술대회) , South Korea, June. 26-28, 2024.
D.-W. Seo, J.-H. Nam, Y.-K. Kim, S.-H. Yu, J.-H. Jeong*, "Exhibition Visitor Trajectory Analysis and Visualization System Using YOLOv5," KCC 2024(2024 한국컴퓨터종합학술대회) , South Korea, June. 26-28, 2024. (Participation Prize 🏆)
S.-W. Kim, E. -S. Lee, Y.-A. Sung, Y.-M. Go, I.-G. Lee, J.-E. Hong, J.-H. Jeong*, "Generating Emotional Expression Images using an Generative Adversarial Networks," KCC 2024(2024 한국컴퓨터종합학술대회) , South Korea, June. 26-28, 2024.
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.
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.
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.
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.
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, 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.