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 12 scientific papers in international journals and conferences (such as Ultrasonics, Scientific Reports, Journal of Informatics, 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
Selected Publications
- AAAIwExplainable Graph Neural Networks for Observation Impact Analysis in Atmospheric State EstimationFeb 2024
- IEEE SensorsQuantification of dysnatremia using single-beam acoustic microbeam and convolutional neural networksIEEE Sensors Journal 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
- J.Inform.Learning multi-resolution representations of research patterns in bibliographic networksJ. Informetrics Feb 2021
- CIKMwIs Performance of Scholars Correlated to Their Research Collaboration Patterns?Frontiers Big Data Feb 2019