Juhyeon Kim
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Bibliography
2026
CoRR, May, 2026
2025
ACM Trans. Graph., August, 2025
CoRR, July, 2025
PPIxGPN: plasma proteomic profiling of neurodegenerative biomarkers with protein-protein interaction-based eXplainable graph propagational network.
Briefings Bioinform., May, 2025
Explainable multiplex graph propagational network with multimodal neuroimage integration for dementia subtype diagnosis.
Neural Networks, 2025
Point Cloud-Based Defect Inspection with Multisensor Fusion and Deep Learning for Advancing Building Construction Quality.
J. Comput. Civ. Eng., 2025
Superpoint Transformer-Based Bridge Component Recognition Using UAV-Mounted LiDAR and Synthetic Point Cloud Generation.
J. Comput. Civ. Eng., 2025
BIGPN: Biologically informed graph propagational network for plasma proteomic profiling of neurodegenerative biomarkers.
Artif. Intell. Medicine, 2025
On Incorporating Prior Knowledge Extracted From Large Language Models Into Causal Discovery.
IEEE Access, 2025
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2025
Accelerated Molecular Simulation-Based Model Predictive Control for Regulating Molecular Weights and Monomeric Ratios in Biomass Fractionation.
Proceedings of the 2025 American Control Conference, 2025
2024
A deep learning approach for the comparison of handwritten documents using latent feature vectors.
Stat. Anal. Data Min., February, 2024
Proceedings of the IEEE International Conference on Computational Photography, 2024
NetPRS: SNP Interaction Aware Network-Based Polygenic Risk Score for Alzheimer's Disease.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2024
Adaptive Control for Lignin-First Biomass Fractionation: An Experimentally Verified Multiscale kMC Approach.
Proceedings of the American Control Conference, 2024
2023
Neurocomputing, October, 2023
Comput. Graph. Forum, October, 2023
ACM Trans. Graph., August, 2023
CoRR, 2023
CoRR, 2023
IEEE Access, 2023
Multiscale modeling, experimental validation, and optimal operation for a batch pulp digester with a novel solvent.
Proceedings of the American Control Conference, 2023
2022
BMC Bioinform., 2022
IEEE Access, 2022
SNU-Causality Lab @ Causal News Corpus 2022: Detecting Causality by Data Augmentation via Part-of-Speech tagging.
Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2022
2021
Proceedings of the 29th Pacific Conference on Computer Graphics and Applications, 2021
Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
2020
Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network.
CoRR, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
2019
Weekly ILI patient ratio change prediction using news articles with support vector machine.
BMC Bioinform., 2019
2013
Research and applications: Breast cancer survivability prediction using labeled, unlabeled, and pseudo-labeled patient data.
J. Am. Medical Informatics Assoc., 2013
2008
FTFD: an informatics pipeline supporting phylogenomic analysis of fungal transcription factors.
Bioinform., 2008