publications

2025

1. IEEE TNSE

   Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention

   Van Thuy Hoang, Hyeon-Ju Jeon, O Lee, and 1 more author

   IEEE Transactions on Network Science and Engineering, 2025

   DOI
2. IEEE Access

   Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products

   Van Thuy Hoang, Tien-Bach-Thanh do, Jinho Seo, and 5 more authors

   IEEE Access, 2025

   DOI

2024

1. MLST

   Observation impact explanation in atmospheric state estimation using hierarchical message-passing graph neural networks

   Hyeon-Ju Jeon, Jeon-ho Kang, In-Hyuk Kwon, and 1 more author

   Machine Learning: Science and Technology, 2024

   DOI
2. npj Clean Water

   Internal pipe corrosion assessment method in water distribution system using ultrasound and convolutional neural networks

   Yeongho Sung^*, Hyeon-Ju Jeon^*, Daehun Kim, and 6 more authors

   npj Clean Water, 2024

   DOI
3. PLoS One

   Predicting the daily number of patients for allergic diseases using PM 10 concentration based on spatiotemporal graph convolutional networks

   Hyeon-Ju Jeon, Hyeon-Jin Jeon, and Seung Ho Jeon

   PLoS One, 2024

   DOI
4. AAAIw

   Explainable Graph Neural Networks for Observation Impact Analysis in Atmospheric State Estimation

   Hyeon-Ju Jeon, Jeon-Ho Kang, In-Hyuk Kwon, and 1 more author

   In The Explainable Machine Learning for Sciences Workshop (XAI4Sci) held in conjunction with the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), Feb 2024
5. IEEE Sensors

   Quantification of dysnatremia using single-beam acoustic microbeam and convolutional neural networks

   Ji Won Nam^*, Hyeon-Ju Jeon^*, Jeong Eun Lee, and 2 more authors

   IEEE Sensors Journal, Feb 2024

   DOI
6. Preprint

   CloudNine: Analyzing Meteorological Observation Impact on Weather Prediction Using Explainable Graph Neural Networks

   Hyeon-Ju Jeon, Jeon-Ho Kang, In-Hyuk Kwon, and 1 more author

   ArXiv, Feb 2024

   DOI
7. Ultrasonics

   Diagnosis of diabetes mellitus using high frequency ultrasound and convolutional neural network

   Jeong Eun Lee^*, Hyeon-Ju Jeon^*, O-Joun Lee, and 1 more author

   Ultrasonics, Feb 2024

   DOI

2023

1. J.Inf.Sci.

   Discovering the role model of authors by embedding research history

   Hyeon-Ju Jeon and Jason J. Jung

   J. Inf. Sci., Feb 2023

   DOI
2. Sensors

   Graph Representation Learning and Its Applications: A Survey

   Van Thuy Hoang, Hyeon-Ju Jeon, Eun-Soon You, and 3 more authors

   Sensors, Feb 2023

   DOI

2022

1. Sci.Rep.

   Automated cell-type classification combining dilated convolutional neural networks with label-free acoustic sensing

   Hyeon-Ju Jeon, Hae Gyun Lim, K. Kirk Shung, and 2 more authors

   Scientific Reports, Feb 2022

   DOI
2. Sensors

   Day-Ahead Hourly Solar Irradiance Forecasting Based on Multi-Attributed Spatio-Temporal Graph Convolutional Network

   Hyeon-Ju Jeon, Min-Woo Choi, and O-Joun Lee

   Sensors, Feb 2022

   DOI

2021

1. Comp.4Human

   Learning contextual representations of citations via graph transformer

   Hyeon-Ju Jeon, Gyu-Sik Choi, Se-Young Cho, and 5 more authors

   In Proceedings of the 2nd International Conference on Human-centered Artificial Intelligence (Computing4Human 2021), Oct 2021
2. J.Inform.

   Learning multi-resolution representations of research patterns in bibliographic networks

   O-Joun Lee, Hyeon-Ju Jeon, and Jason J. Jung

   J. Informetrics, Oct 2021

   DOI

2019

1. CIKMw

   Is Performance of Scholars Correlated to Their Research Collaboration Patterns?

   Hyeon-Ju Jeon, O-Joun Lee, and Jason J. Jung

   Frontiers Big Data, Oct 2019

   DOI