Follow
Youngchun Kwon
Youngchun Kwon
Staff Researcher, Samsung Advanced Institute of Tech.
Verified email at samsung.com
Title
Cited by
Cited by
Year
Deep-learning-based inverse design model for intelligent discovery of organic molecules
K Kim, S Kang, J Yoo, Y Kwon, Y Nam, D Lee, I Kim, YS Choi, Y Jung, ...
npj Computational Materials 4 (1), 67, 2018
992018
Valid, plausible, and diverse retrosynthesis using tied two-way transformers with latent variables
E Kim, D Lee, Y Kwon, MS Park, YS Choi
Journal of Chemical Information and Modeling 61 (1), 123-133, 2021
512021
Neural message passing for NMR chemical shift prediction
Y Kwon, D Lee, YS Choi, M Kang, S Kang
Journal of chemical information and modeling 60 (4), 2024-2030, 2020
452020
Evolutionary design of molecules based on deep learning and a genetic algorithm
Y Kwon, S Kang, YS Choi, I Kim
Scientific reports 11 (1), 17304, 2021
362021
Uncertainty-aware prediction of chemical reaction yields with graph neural networks
Y Kwon, D Lee, YS Choi, S Kang
Journal of Cheminformatics 14, 1-10, 2022
342022
Compressed graph representation for scalable molecular graph generation
Y Kwon, D Lee, YS Choi, K Shin, S Kang
Journal of Cheminformatics 12, 1-8, 2020
222020
Predictive modeling of NMR chemical shifts without using atomic-level annotations
S Kang, Y Kwon, D Lee, YS Choi
Journal of Chemical Information and Modeling 60 (8), 3765-3769, 2020
212020
Organic light-emitting device and compound
M Numata, J Soonok, H Miyazaki, S Lee, SIM Myungsun, IHN Sooghang, ...
US Patent App. 15/840,491, 2018
92018
Method and apparatus for new material discovery using machine learning on targeted physical property
J Yoo, K Seokho, K Youngchun, S Jaikwang, LEE Hyosug, Y Choi
US Patent 10,957,419, 2021
82021
Generative modeling to predict multiple suitable conditions for chemical reactions
Y Kwon, S Kim, YS Choi, S Kang
Journal of Chemical Information and Modeling 62 (23), 5952-5960, 2022
72022
Scalable graph neural network for NMR chemical shift prediction
J Han, H Kang, S Kang, Y Kwon, D Lee, YS Choi
Physical Chemistry Chemical Physics 24 (43), 26870-26878, 2022
72022
Molecular search by NMR spectrum based on evaluation of matching between spectrum and molecule
Y Kwon, D Lee, YS Choi, S Kang
Scientific Reports 11 (1), 20998, 2021
72021
Method and device for searching new material
J Yoo, K Youngchun, KIM Kyungdoc, S Jaikwang, LEE Hyosug, Y Choi
US Patent 11,017,314, 2021
62021
AI-driven robotic chemist for autonomous synthesis of organic molecules
T Ha, D Lee, Y Kwon, MS Park, S Lee, J Jang, B Choi, H Jeon, J Kim, ...
Science advances 9 (44), eadj0461, 2023
52023
Exploring optimal reaction conditions guided by graph neural networks and Bayesian optimization
Y Kwon, D Lee, JW Kim, YS Choi, S Kim
ACS omega 7 (49), 44939-44950, 2022
42022
A CUDA-based implementation of OpenGL-compatible rasterization library prototype
YC Kwon, N Baek
Proceedings of the 29th Annual ACM Symposium on Applied Computing, 1747-1748, 2014
42014
A parallelized implementation for H. 264 real-time encoding scheme
YC Kwon, C Park, D Oh, WS Jang, N Baek
International Journal of Control and Automation 7 (6), 379-388, 2014
32014
Method and device for searching new material
J Yoo, K Youngchun, KIM Kyungdoc, S Jaikwang, LEE Hyosug, Y Choi
US Patent App. 17/238,460, 2021
22021
Efficient learning of non-autoregressive graph variational autoencoders for molecular graph generation
Y Kwon, J Yoo, Y Choi
Journal of Cheminformatics 11 (70), 2019
2*2019
An automated astronomical observation system
YC Kwon, J Jeong, Y Kim, N Baek
International Journal of Control and Automation 6 (1), 191-200, 2013
22013
The system can't perform the operation now. Try again later.
Articles 1–20