FTFD: an informatics pipeline supporting phylogenomic analysis of fungal transcription factors. - Jongsun Park 002; Jaejin Park; Suwang Jang; Seryun Kim; Sunghyung Kong; Jaeyoung Choi; Kyohun Ahn; Juhyeon Kim; Seungmin Lee; Sunggon Kim; Bongsoo Park; Kyongyong Jung; et al. (Bioinform., 2008)

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)

Weekly ILI patient ratio change prediction using news articles with support vector machine. - Juhyeon Kim; Insung Ahn (BMC Bioinform., 2019)

Novel View Synthesis With Skip Connections. - Juhyeon Kim; Young Min Kim 001 (ICIP, 2020)

Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network. - Juhyeon Kim (CoRR, 2020)

Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network. - Juhyeon Kim; Kihyun Kim 001 (ITSC, 2021)

Fast and Lightweight Path Guiding Algorithm on GPU. - Juhyeon Kim; Young Min Kim 001 (PG (Short Papers, Posters, and Work-in-Progress Papers), 2021)

SNU-Causality Lab @ Causal News Corpus 2022: Detecting Causality by Data Augmentation via Part-of-Speech tagging. - Juhyeon Kim; Yesong Choe; Sanghack Lee (CASE@EMNLP, 2022)

Two-Argument Activation Functions Learn Soft XOR Operations Like Cortical Neurons. - Juhyeon Kim; A. Emin Orhan; KiJung Yoon; Xaq Pitkow (IEEE Access, 2022)

NGS data vectorization, clustering, and finding key codons in SARS-CoV-2 variations. - Juhyeon Kim; Saeyeon Cheon; Insung Ahn (BMC Bioinform., 2022)

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 (ACC, 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)

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; Wooyul Jung; Miseon Park; Kijung Yoon (CoRR, 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., 2023)

IBL-NeRF: Image-Based Lighting Formulation of Neural Radiance Fields. - Changwoon Choi; Juhyeon Kim; Young Min Kim 001 (Comput. Graph. Forum, 2023)

Classical-to-quantum convolutional neural network transfer learning. - Juhyeon Kim; Joonsuk Huh; Daniel K. Park (Neurocomputing, 2023)

Doppler Time-of-Flight Rendering. - Juhyeon Kim; Wojciech Jarosz; Ioannis Gkioulekas; Adithya Pediredla (ACM Trans. Graph., 2023)

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 (ACC, 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 (BHI, 2024)

Efficient Time Sampling Strategy for Transient Absorption Spectroscopy. - Juhyeon Kim; Joshua Multhaup; Mahima Sneha; Adithya Pediredla (ICCP, 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., 2024)

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 (ACC, 2025)

Continual Learning with Flexible Preservation. - Juhyeon Kim; Hyunjung Shin (BigComp, 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)

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)

A wave-optics BSDF for correlated scatterers. - Ruomai Yang; Juhyeon Kim; Adithya Pediredla; Wojciech Jarosz (Comput. Graph. Forum, 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)

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)

Priority-Aware Clinical Pathology Hierarchy Training for Multiple Instance Learning. - Sungrae Hong; Kyungeun Kim; Juhyeon Kim; Sol Lee; Jisu Shin 001; Chanjae Song; Mun Yong Yi (CoRR, 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., 2025)