Seungwoo Jeong

According to our database, Seungwoo Jeong authored at least 18 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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., January, 2024

Unveiling Diagnostic Potential: EEG Microstate Representation Model for Alzheimer's Disease and Frontotemporal Dementia.

Jungye Kim, Seungwoo Jeong, Jaehyun Jeon, Heung-Il Suk

Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024

Enhancing EEG Domain Generalization via Weighted Contrastive Learning.

Sangmin Jo, Seungwoo Jeong, Jaehyun Jeon, Heung-Il Suk

Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024

2023

Deep Geometric Learning with Monotonicity Constraints for Alzheimer's Disease Progression.

Seungwoo Jeong, Wonsik Jung, Junghyo Sohn, Heung-Il Suk

CoRR, 2023

Channel-Aware Self-Supervised Learning for EEG-based BCI.

Sangmin Jo, Jaehyun Jeon, Seungwoo Jeong, Heung-Il Suk

Proceedings of the 11th International Winter Conference on Brain-Computer Interface, 2023

Learning-based Sleep Quality Evaluation.

Seungwoo Jeong, Eunjin Jeon, Seungpyo Noh, Jinsool Lee, Hyungjin Kim, Seonguk Kim, Heung-Il Suk

Proceedings of the 11th International Winter Conference on Brain-Computer Interface, 2023

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

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

Deep Geometrical Learning for Alzheimer's Disease Progression Modeling.

Seungwoo Jeong, Wonsik Jung, Junghyo Sohn, Heung-Il Suk

Proceedings of the IEEE International Conference on Data Mining, 2022

Continuous Riemannian Geometric Learning for Sleep Staging Classification.

Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk

Proceedings of the 10th International Winter Conference on Brain-Computer Interface, 2022

Behavior Tree-Based Task Planning for Multiple Mobile Robots using a Data Distribution Service.

Seungwoo Jeong, Taekwon Ga, Inhwan Jeong, Jongeun Choi

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022

2021

Efficient Continuous Manifold Learning for Time Series Modeling.

Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk

CoRR, 2021

Medical Transformer: Universal Brain Encoder for 3D MRI Analysis.

Eunji Jun, Seungwoo Jeong, Da-Woon Heo, Heung-Il Suk

CoRR, 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

Fine-grained Temporal Attention Network for EEG-based Seizure Detection.

Seungwoo Jeong, Eunjin Jeon, Wonjun Ko, Heung-Il Suk

Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021

2014

Oscillation reduction scheme for wearable robots employing linear actuators and sensors.

Junghoon Choo, Dong-Hyun Jeong, Seungwoo Jeong, Gilwhoan Chu, Jong Hyeon Park

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014

Attaching sub-links on linear actuators of wearable robots for payload increase.

Dong-Hyun Jeong, Junghoon Choo, Seungwoo Jeong, Gilwhoan Chu

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2014