Juhyeon Kim

According to our database, Juhyeon Kim authored at least 31 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Monte Carlo Rendering Framework for Simulating Optical Heterodyne Detection.

Juhyeon Kim, Craig Benko, Magnus Wrenninge, Ryusuke Villemin, Zeb W. Barber, Wojciech Jarosz, Adithya Pediredla

ACM Trans. Graph., August, 2025

Priority-Aware Clinical Pathology Hierarchy Training for Multiple Instance Learning.

Sungrae Hong, Kyungeun Kim, Juhyeon Kim, Sol Lee, Jisu Shin, Chanjae Song, Mun Yong Yi

CoRR, July, 2025

Point Cloud-Based Defect Inspection with Multisensor Fusion and Deep Learning for Advancing Building Construction Quality.

Juhyeon Kim, Jeehoon Kim, Yulin Lian, Hyoungkwan Kim

J. Comput. Civ. Eng., 2025

Superpoint Transformer-Based Bridge Component Recognition Using UAV-Mounted LiDAR and Synthetic Point Cloud Generation.

Yohan Kim, Jeehoon Kim, Juhyeon Kim, Hyoungkwan Kim

J. Comput. Civ. Eng., 2025

A wave-optics BSDF for correlated scatterers.

Ruomai Yang, Juhyeon Kim, Adithya Pediredla, Wojciech Jarosz

Comput. Graph. Forum, 2025

PPIxGPN: plasma proteomic profiling of neurodegenerative biomarkers with protein-protein interaction-based eXplainable graph propagational network.

Sunghong Park, Dong-Gi Lee, Juhyeon Kim, Seung Ho Kim, Hyeon Jin Hwang, Hyunjung Shin, Hyun Goo Woo

Briefings Bioinform., 2025

BIGPN: Biologically informed graph propagational network for plasma proteomic profiling of neurodegenerative biomarkers.

Sunghong Park, Dong-Gi Lee, Juhyeon Kim, Masaud Shah, Hyunjung Shin, Hyun Goo Woo

Artif. Intell. Medicine, 2025

Continual Learning with Flexible Preservation.

Juhyeon Kim, Hyunjung Shin

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.

Juhyeon Kim, Jiae Ryu, Qiang Yang, Chang Geun Yoo, Joseph Sang-Il Kwon

Proceedings of the 2025 American Control Conference, 2025

2024

A deep learning approach for the comparison of handwritten documents using latent feature vectors.

Juhyeon Kim, Soyoung Park, Alicia L. Carriquiry

Stat. Anal. Data Min., February, 2024

Efficient Time Sampling Strategy for Transient Absorption Spectroscopy.

Juhyeon Kim, Joshua Multhaup, Mahima Sneha, Adithya Pediredla

Proceedings of the IEEE International Conference on Computational Photography, 2024

NetPRS: SNP Interaction Aware Network-Based Polygenic Risk Score for Alzheimer's Disease.

Sunghong Park, Dong-Gi Lee, Juhyeon Kim, Doyoon Kim, Changhyung Hong, Sang Joon Son, Hyunwoong Roh, Kanghee Park, Dokyoon Kim, Hyunjung Shin, Hyun Goo Woo

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.

Juhyeon Kim, Silabrata Pahari, Jiae Ryu, Mairui Zhang, Chang Geun Yoo, Joseph Sang-Il Kwon

Proceedings of the American Control Conference, 2024

2023

Doppler Time-of-Flight Rendering.

Juhyeon Kim, Wojciech Jarosz, Ioannis Gkioulekas, Adithya Pediredla

ACM Trans. Graph., December, 2023

Classical-to-quantum convolutional neural network transfer learning.

Juhyeon Kim, Joonsuk Huh, Daniel K. Park

Neurocomputing, October, 2023

IBL-NeRF: Image-Based Lighting Formulation of Neural Radiance Fields.

Changwoon Choi, Juhyeon Kim, Young Min Kim

Comput. Graph. Forum, October, 2023

Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonar.

Albert W. Reed, Juhyeon Kim, Thomas E. Blanford, Adithya Pediredla, Daniel C. Brown, Suren Jayasuriya

ACM Trans. Graph., August, 2023

Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting.

Juhyeon Kim, Hyungeun Lee, Seungwon Yu, Ung Hwang, Wooyul Jung, Miseon Park, Kijung Yoon

CoRR, 2023

Can We Utilize Pre-trained Language Models within Causal Discovery Algorithms?

Chanhui Lee, Juhyeon Kim, Yongjun Jeong, Juhyun Lyu, Junghee Kim, Sangmin Lee, Sangjun Han, Hyeokjun Choe, Soyeon Park, Woohyung Lim, Sungbin Lim, Sanghack Lee

CoRR, 2023

Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting.

Juhyeon Kim, Hyungeun Lee, Seungwon Yu, Ung Hwang, Wooyeol Jung, KiJung Yoon

IEEE Access, 2023

Multiscale modeling, experimental validation, and optimal operation for a batch pulp digester with a novel solvent.

Silabrata Pahari, Juhyeon Kim, Mairui Zhang, Anqi Ji, Chang Geun Yoo, Joseph Sang-Il Kwon

Proceedings of the American Control Conference, 2023

2022

NGS data vectorization, clustering, and finding key codons in SARS-CoV-2 variations.

Juhyeon Kim, Saeyeon Cheon, Insung Ahn

BMC Bioinform., 2022

Two-Argument Activation Functions Learn Soft XOR Operations Like Cortical Neurons.

Juhyeon Kim, A. Emin Orhan, KiJung Yoon, Xaq Pitkow

IEEE Access, 2022

SNU-Causality Lab @ Causal News Corpus 2022: Detecting Causality by Data Augmentation via Part-of-Speech tagging.

Juhyeon Kim, Yesong Choe, Sanghack Lee

Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2022

2021

Fast and Lightweight Path Guiding Algorithm on GPU.

Juhyeon Kim, Young Min Kim

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.

Juhyeon Kim, Kihyun Kim

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.

Juhyeon Kim

CoRR, 2020

Novel View Synthesis With Skip Connections.

Juhyeon Kim, Young Min Kim

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Weekly ILI patient ratio change prediction using news articles with support vector machine.

Juhyeon Kim, Insung Ahn

BMC Bioinform., 2019

2013

Research and applications: Breast cancer survivability prediction using labeled, unlabeled, and pseudo-labeled patient data.

Juhyeon Kim, Hyunjung Shin

J. Am. Medical Informatics Assoc., 2013

2008

FTFD: an informatics pipeline supporting phylogenomic analysis of fungal transcription factors.

Jongsun Park, Jaejin Park, Suwang Jang, Seryun Kim, Sunghyung Kong, Jaeyoung Choi, Kyohun Ahn, Juhyeon Kim, Seungmin Lee, Sunggon Kim, Bongsoo Park, Kyongyong Jung, Soonok Kim, Seogchan Kang, Yong-Hwan Lee

Bioinform., 2008