32 citations · 58 across the 7 of their papers we have counts for
7 papers
Permutation-Equivariant 2D State Space Models: Theory and Canonical Architecture for Multivariate Time Series
Seungwoo Jeong, Heung-Il Suk
Multivariate time series (MTS) modeling often implicitly imposes an artificial ordering over variables, violating the inherent exchangeability found in many real-world systems wher…
Deep Geometric Learning with Monotonicity Constraints for Alzheimer's Disease Progression
Seungwoo Jeong, Wonsik Jung, Junghyo Sohn +1
Alzheimer's disease (AD) is a devastating neurodegenerative condition that precedes progressive and irreversible dementia; thus, predicting its progression over time is vital for c…
Layered Cost-Map-Based Traffic Management for Multiple Automated Mobile Robots via a Data Distribution Service
Seungwoo Jeong, Taekwon Ga, Inhwan Jeong +2
This letter proposes traffic management for multiple automated mobile robots (AMRs) based on a layered cost map. Multiple AMRs communicate via a data distribution service (DDS), wh…
Behavior Tree-Based Task Planning for Multiple Mobile Robots using a Data Distribution Service
Seungwoo Jeong, Taekwon Ga, Inhwan Jeong +1
In this study, we propose task planning framework for multiple robots that builds on a behavior tree (BT). BTs communicate with a data distribution service (DDS) to send and receiv…
Deep Efficient Continuous Manifold Learning for Time Series Modeling
Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi +1
Modeling non-Euclidean data is drawing extensive attention along with the unprecedented successes of deep neural networks in diverse fields. Particularly, a symmetric positive defi…
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis
Eunji Jun, Seungwoo Jeong, Da-Woon Heo +1
Transfer learning has gained attention in medical image analysis due to limited annotated 3D medical datasets for training data-driven deep learning models in the real world. Exist…
Multi-Scale Neural network for EEG Representation Learning in BCI
Wonjun Ko, Eunjin Jeon, Seungwoo Jeong +1
Recent advances in deep learning have had a methodological and practical impact on brain-computer interface research. Among the various deep network architectures, convolutional ne…