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Seungwoo Jeong
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Journal Articles
- 2024
- [j2]Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk:
Deep Efficient Continuous Manifold Learning for Time Series Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 171-184 (2024) - 2021
- [j1]Wonjun Ko, Eunjin Jeon, Seungwoo Jeong, Heung-Il Suk:
Multi-Scale Neural Network for EEG Representation Learning in BCI. IEEE Comput. Intell. Mag. 16(2): 31-45 (2021)
Conference and Workshop Papers
- 2024
- [c11]Sangmin Jo, Seungwoo Jeong, Jaehyun Jeon, Heung-Il Suk:
Enhancing EEG Domain Generalization via Weighted Contrastive Learning. BCI 2024: 1-4 - [c10]Jungye Kim, Seungwoo Jeong, Jaehyun Jeon, Heung-Il Suk:
Unveiling Diagnostic Potential: EEG Microstate Representation Model for Alzheimer's Disease and Frontotemporal Dementia. BCI 2024: 1-4 - 2023
- [c9]Seungwoo Jeong, Eunjin Jeon, Seungpyo Noh, Jinsool Lee, Hyungjin Kim, Seonguk Kim, Heung-Il Suk:
Learning-based Sleep Quality Evaluation. BCI 2023: 1-2 - [c8]Sangmin Jo, Jaehyun Jeon, Seungwoo Jeong, Heung-Il Suk:
Channel-Aware Self-Supervised Learning for EEG-based BCI. BCI 2023: 1-4 - 2022
- [c7]Seungwoo Jeong, Taekwon Ga, Inhwan Jeong, Jongeun Choi:
Behavior Tree-Based Task Planning for Multiple Mobile Robots using a Data Distribution Service. AIM 2022: 1791-1798 - [c6]Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk:
Continuous Riemannian Geometric Learning for Sleep Staging Classification. BCI 2022: 1-2 - [c5]Seungwoo Jeong, Wonsik Jung, Junghyo Sohn, Heung-Il Suk:
Deep Geometrical Learning for Alzheimer's Disease Progression Modeling. ICDM 2022: 211-220 - 2021
- [c4]Seungwoo Jeong, Eunjin Jeon, Wonjun Ko, Heung-Il Suk:
Fine-grained Temporal Attention Network for EEG-based Seizure Detection. BCI 2021: 1-4 - 2014
- [c3]Dong-Hyun Jeong, Junghoon Choo, Seungwoo Jeong, Gilwhoan Chu:
Attaching sub-links on linear actuators of wearable robots for payload increase. AIM 2014: 1296-1301 - [c2]Gilwhoan Chu, Jincheol Hong, Dong-Hyun Jeong, Dongsu Kim, Sooho Kim, Seungwoo Jeong, Junghoon Choo:
The experiments of wearable robot for carrying heavy-weight objects of shipbuilding works. CASE 2014: 978-983 - [c1]Junghoon Choo, Dong-Hyun Jeong, Seungwoo Jeong, Gilwhoan Chu, Jong Hyeon Park:
Oscillation reduction scheme for wearable robots employing linear actuators and sensors. IROS 2014: 2160-2165
Informal and Other Publications
- 2023
- [i6]Seungwoo Jeong, Wonsik Jung, Junghyo Sohn, Heung-Il Suk:
Deep Geometric Learning with Monotonicity Constraints for Alzheimer's Disease Progression. CoRR abs/2310.03353 (2023) - 2022
- [i5]Seungwoo Jeong, Taekwon Ga, Inhwan Jeong, Jongeun Choi:
Behavior Tree-Based Asynchronous Task Planning for Multiple Mobile Robots using a Data Distribution Service. CoRR abs/2201.10918 (2022) - [i4]Seungwoo Jeong, Taekwon Ga, Inhwan Jeong, Jongkyu Oh, Jongeun Choi:
Layered Cost-Map-Based Traffic Management for Multiple Automated Mobile Robots via a Data Distribution Service. CoRR abs/2207.08902 (2022) - 2021
- [i3]Eunji Jun, Seungwoo Jeong, Da-Woon Heo, Heung-Il Suk:
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis. CoRR abs/2104.13633 (2021) - [i2]Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk:
Efficient Continuous Manifold Learning for Time Series Modeling. CoRR abs/2112.03379 (2021) - 2020
- [i1]Wonjun Ko, Eunjin Jeon, Seungwoo Jeong, Heung-Il Suk:
Multi-Scale Neural network for EEG Representation Learning in BCI. CoRR abs/2003.02657 (2020)
Coauthor Index
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