Eunji Jun

Orcid: 0000-0001-7403-6784

According to our database1, Eunji Jun authored at least 14 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A stochastic Fokker-Planck-Master model for diatomic rarefied gas flows.
J. Comput. Phys., 2024

A second-order particle Fokker-Planck model for rarefied gas flows.
Comput. Phys. Commun., 2024

2023
Mutual Learning for Long-Tailed Recognition.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022
Multi-View Integrative Attention-Based Deep Representation Learning for Irregular Clinical Time-Series Data.
IEEE J. Biomed. Health Informatics, 2022

Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series.
IEEE Trans. Cybern., 2022

2021
Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction.
IEEE Trans. Neural Networks Learn. Syst., 2021

Deep recurrent model for individualized prediction of Alzheimer's disease progression.
NeuroImage, 2021

Medical Transformer: Universal Brain Encoder for 3D MRI Analysis.
CoRR, 2021

Multi-view Integration Learning for Irregularly-sampled Clinical Time Series.
CoRR, 2021

2020
Deep Recurrent Disease Progression Model for Conversion-Time Prediction of Alzheimer's Disease.
CoRR, 2020

2019
Modeling regional dynamics in low-frequency fluctuation and its application to Autism spectrum disorder diagnosis.
NeuroImage, 2019

Stochastic Imputation and Uncertainty-Aware Attention to EHR for Mortality Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Deep recurrent spatio-temporal neural network for motor imagery based BCI.
Proceedings of the 6th International Conference on Brain-Computer Interface, 2018

2017
Region-Wise Stochastic Pattern Modeling for Autism Spectrum Disorder Identification and Temporal Dynamics Analysis.
Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017


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