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ORCIDJuhyeon Kim
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j11]Juhyeon Kim
, Soyoung Park, Alicia L. Carriquiry:
A deep learning approach for the comparison of handwritten documents using latent feature vectors. Stat. Anal. Data Min. 17(1) (2024)- [c7]Juhyeon Kim, Silabrata Pahari, Jiae Ryu, Mairui Zhang, Chang Geun Yoo, Joseph Sang-Il Kwon:
Adaptive Control for Lignin-First Biomass Fractionation: An Experimentally Verified Multiscale kMC Approach. ACC 2024: 5480-5485 - [c6]Juhyeon Kim, Joshua Multhaup, Mahima Sneha, Adithya Pediredla:
Efficient Time Sampling Strategy for Transient Absorption Spectroscopy. ICCP 2024: 1-12 - 2023
- [j10]Juhyeon Kim, Hyungeun Lee, Seungwon Yu, Ung Hwang, Wooyeol Jung, KiJung Yoon:
Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting. IEEE Access 11: 118386-118394 (2023) - [j9]Changwoon Choi, Juhyeon Kim, Young Min Kim:
IBL-NeRF: Image-Based Lighting Formulation of Neural Radiance Fields. Comput. Graph. Forum 42(7) (2023) - [j8]Juhyeon Kim, Joonsuk Huh, Daniel K. Park:
Classical-to-quantum convolutional neural network transfer learning. Neurocomputing 555: 126643 (2023) - [j7]Albert W. Reed, Juhyeon Kim, Thomas E. Blanford, Adithya Pediredla, Daniel C. Brown, Suren Jayasuriya:
Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonar. ACM Trans. Graph. 42(4): 113:1-113:20 (2023) - [j6]Juhyeon Kim, Wojciech Jarosz, Ioannis Gkioulekas, Adithya Pediredla:
Doppler Time-of-Flight Rendering. ACM Trans. Graph. 42(6): 271:1-271:18 (2023) - [c5]Silabrata Pahari, Juhyeon Kim, Mairui Zhang, Anqi Ji, Chang Geun Yoo, Joseph Sang-Il Kwon:
Multiscale modeling, experimental validation, and optimal operation for a batch pulp digester with a novel solvent. ACC 2023: 3448-3453 - [i7]Albert W. Reed, Juhyeon Kim, Thomas E. Blanford, Adithya Pediredla, Daniel C. Brown, Suren Jayasuriya:
Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonar. CoRR abs/2306.09909 (2023) - [i6]Juhyeon Kim, Wojciech Jarosz, Ioannis Gkioulekas, Adithya Pediredla:
Doppler Time-of-Flight Rendering. CoRR abs/2309.16163 (2023) - [i5]Chanhui Lee, Juhyeon Kim, Yongjun Jeong, Juhyun Lyu, Junghee Kim, Sangmin Lee, Sangjun Han, Hyeokjun Choe, Soyeon Park, Woohyung Lim, Sungbin Lim, Sanghack Lee:
Can We Utilize Pre-trained Language Models within Causal Discovery Algorithms? CoRR abs/2311.11212 (2023) - [i4]Juhyeon Kim, Hyungeun Lee, Seungwon Yu, Ung Hwang, Wooyul Jung, Miseon Park, Kijung Yoon:
Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting. CoRR abs/2311.12630 (2023) - 2022
- [j5]Juhyeon Kim, A. Emin Orhan, KiJung Yoon, Xaq Pitkow:
Two-Argument Activation Functions Learn Soft XOR Operations Like Cortical Neurons. IEEE Access 10: 58071-58080 (2022) - [j4]Juhyeon Kim, Saeyeon Cheon, Insung Ahn:
NGS data vectorization, clustering, and finding key codons in SARS-CoV-2 variations. BMC Bioinform. 23(1): 187 (2022) - [c4]Juhyeon Kim, Yesong Choe, Sanghack Lee:
SNU-Causality Lab @ Causal News Corpus 2022: Detecting Causality by Data Augmentation via Part-of-Speech tagging. CASE@EMNLP 2022: 44-49 - [i3]Juhyeon Kim, Joonsuk Huh, Daniel K. Park:
Classical-to-quantum convolutional neural network transfer learning. CoRR abs/2208.14708 (2022) - [i2]Changwoon Choi, Juhyeon Kim, Young Min Kim:
IBL-NeRF: Image-Based Lighting Formulation of Neural Radiance Fields. CoRR abs/2210.08202 (2022) - 2021
- [c3]Juhyeon Kim, Kihyun Kim:
Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network. ITSC 2021: 990-995 - [c2]Juhyeon Kim, Young Min Kim:
Fast and Lightweight Path Guiding Algorithm on GPU. PG (Short Papers, Posters, and Work-in-Progress Papers) 2021: 1-6 - 2020
- [c1]Juhyeon Kim, Young Min Kim:
Novel View Synthesis With Skip Connections. ICIP 2020: 1616-1620 - [i1]Juhyeon Kim:
Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network. CoRR abs/2011.06175 (2020)
2010 – 2019
- 2019
- [j3]Juhyeon Kim, Insung Ahn:
Weekly ILI patient ratio change prediction using news articles with support vector machine. BMC Bioinform. 20(1): 259:1-259:16 (2019) - 2013
- [j2]Juhyeon Kim, Hyunjung Shin:
Research and applications: Breast cancer survivability prediction using labeled, unlabeled, and pseudo-labeled patient data. J. Am. Medical Informatics Assoc. 20(4): 613-618 (2013)
2000 – 2009
- 2008
- [j1]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:
FTFD: an informatics pipeline supporting phylogenomic analysis of fungal transcription factors. Bioinform. 24(7): 1024-1025 (2008)
Coauthor Index
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