Attaching sub-links on linear actuators of wearable robots for payload increase. - Dong-Hyun Jeong; Junghoon Choo; Seungwoo Jeong; Gilwhoan Chu (AIM, 2014)

The experiments of wearable robot for carrying heavy-weight objects of shipbuilding works. - Gilwhoan Chu; Jincheol Hong; Dong-Hyun Jeong; Dongsu Kim; Sooho Kim; Seungwoo Jeong; Junghoon Choo (CASE, 2014)

Oscillation reduction scheme for wearable robots employing linear actuators and sensors. - Junghoon Choo; Dong-Hyun Jeong; Seungwoo Jeong; Gilwhoan Chu; Jong Hyeon Park (IROS, 2014)

Fine-grained Temporal Attention Network for EEG-based Seizure Detection. - Seungwoo Jeong; Eunjin Jeon; Wonjun Ko; Heung-Il Suk (BCI, 2021)

Multi-Scale Neural Network for EEG Representation Learning in BCI. - Wonjun Ko; Eunjin Jeon; Seungwoo Jeong; Heung-Il Suk (IEEE Comput. Intell. Mag., 2021)

Medical Transformer: Universal Brain Encoder for 3D MRI Analysis. - Eunji Jun; Seungwoo Jeong; Da-Woon Heo; Heung-Il Suk (CoRR, 2021)

Efficient Continuous Manifold Learning for Time Series Modeling. - Seungwoo Jeong; Wonjun Ko; Ahmad Wisnu Mulyadi; Heung-Il Suk (CoRR, 2021)

Behavior Tree-Based Task Planning for Multiple Mobile Robots using a Data Distribution Service. - Seungwoo Jeong; Taekwon Ga; Inhwan Jeong; Jongeun Choi (AIM, 2022)

Continuous Riemannian Geometric Learning for Sleep Staging Classification. - Seungwoo Jeong; Wonjun Ko; Ahmad Wisnu Mulyadi; Heung-Il Suk (BCI, 2022)

Deep Geometrical Learning for Alzheimer's Disease Progression Modeling. - Seungwoo Jeong; Wonsik Jung; Junghyo Sohn; Heung-Il Suk (ICDM, 2022)

Behavior Tree-Based Asynchronous Task Planning for Multiple Mobile Robots using a Data Distribution Service. - Seungwoo Jeong; Taekwon Ga; Inhwan Jeong; Jongeun Choi (CoRR, 2022)

Layered Cost-Map-Based Traffic Management for Multiple Automated Mobile Robots via a Data Distribution Service. - Seungwoo Jeong; Taekwon Ga; Inhwan Jeong; Jongkyu Oh; Jongeun Choi (CoRR, 2022)

Learning-based Sleep Quality Evaluation. - Seungwoo Jeong; Eunjin Jeon; Seungpyo Noh; Jinsool Lee; Hyungjin Kim; Seonguk Kim; Heung-Il Suk (BCI, 2023)

Channel-Aware Self-Supervised Learning for EEG-based BCI. - Sangmin Jo; Jaehyun Jeon; Seungwoo Jeong; Heung-Il Suk (BCI, 2023)

Enhancing EEG Domain Generalization via Weighted Contrastive Learning. - Sangmin Jo; Seungwoo Jeong; Jaehyun Jeon; Heung-Il Suk (BCI, 2024)

Unveiling Diagnostic Potential: EEG Microstate Representation Model for Alzheimer's Disease and Frontotemporal Dementia. - Jungye Kim; Seungwoo Jeong; Jaehyun Jeon; Heung-Il Suk (BCI, 2024)

Deep Efficient Continuous Manifold Learning for Time Series Modeling. - Seungwoo Jeong; Wonjun Ko; Ahmad Wisnu Mulyadi; Heung-Il Suk (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Differentiable Moving Horizon Estimation for Vehicle Kinematics via Learning Covariance Matrices. - Seungwoo Jeong; Jongeun Choi (IEEE Trans. Intell. Veh., 2024)

EEG-Oriented Self-Supervised Learning With Triple Information Pathways Network. - Wonjun Ko; Seungwoo Jeong; Sa-Kwang Song; Heung-Il Suk (IEEE Trans. Cybern., 2024)

Medical Transformer: Universal Encoder for 3-D Brain MRI Analysis. - Eunji Jun; Seungwoo Jeong; Da-Woon Heo; Heung-Il Suk (IEEE Trans. Neural Networks Learn. Syst., 2024)

Energy-Guided Topology Mamba for EEG-Based BCI. - Seungwoo Jeong; Jaehyun Jeon; Heung-Il Suk (BCI, 2025)

A lightweight YOLOv8-based model for gastric cancer detection. - Seungwoo Jeong; Shabir Ahmad; Jae-Seoung Kim; Taeg Keun Whangbo (Comput. Biol. Medicine, 2025)

Deep Geometric Learning With Monotonicity Constraints for Alzheimer's Disease Progression. - Seungwoo Jeong; Wonsik Jung; Junghyo Sohn; Heung-Il Suk (IEEE Trans. Neural Networks Learn. Syst., 2025)