Hyeon-Ju Jeon
Research Scientist at Korea Institute of Atmospheric Prediction Systems (KIAPS)
Hyeon-Ju Jeon has been a research scientist at the Korea Institute of Atmospheric Prediction Systems (KIAPS) since October 2021. She received her M.Eng. degree in Computer Engineering from Chung-Ang University in 2021. She has published 17 scientific papers in international journals and conferences (such as IEEE Transactions on Network Science and Engineering, Machine Learning: Science and Technology, npj Clean Water, AAAI, and CIKM). Her research topics are high-resolution and irregular real-world data analysis based on graph neural networks and unsupervised/self-supervised representation learning.
news
| Apr 01, 2025 | A paper has been published at IEEE Transactions on Network Science and Engineering (JCR Top 3.3%) |
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| Oct 01, 2024 | A paper has been published at Machine Learning: Science and Technology (JCR Top 10.8%) |
| Jul 01, 2024 | A paper has been published at npj Clean Water (JCR Top 1.2%) |
| Feb 16, 2024 | A paper has been published at IEEE Sensors Journal. |
| Jan 01, 2024 | A paper has been published at Ultrasonics (JCR Top 15%). |
selected publications
- IEEE TNSEMitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-AttentionIEEE Transactions on Network Science and Engineering, 2025
- MLSTObservation impact explanation in atmospheric state estimation using hierarchical message-passing graph neural networksMachine Learning: Science and Technology, 2024
- npj Clean WaterInternal pipe corrosion assessment method in water distribution system using ultrasound and convolutional neural networksnpj Clean Water, 2024
- PLoS OnePredicting the daily number of patients for allergic diseases using PM 10 concentration based on spatiotemporal graph convolutional networksPLoS One, 2024
- AAAIwExplainable Graph Neural Networks for Observation Impact Analysis in Atmospheric State EstimationIn The Explainable Machine Learning for Sciences Workshop (XAI4Sci) held in conjunction with the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), Feb 2024
- UltrasonicsDiagnosis of diabetes mellitus using high frequency ultrasound and convolutional neural networkUltrasonics, Feb 2024
- Sci.Rep.Automated cell-type classification combining dilated convolutional neural networks with label-free acoustic sensingScientific Reports, Feb 2022
- SensorsDay-Ahead Hourly Solar Irradiance Forecasting Based on Multi-Attributed Spatio-Temporal Graph Convolutional NetworkSensors, Feb 2022