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Jonghwan Choi
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2020 – today
- 2024
- [j13]Sangmin Seo
, Jonghwan Choi
Pseq2Sites: Enhancing protein sequence-based ligand binding-site prediction accuracy via the deep convolutional network and attention mechanism. Eng. Appl. Artif. Intell. 127(Part A): 107257 (2024) - [j12]Jieun Lee
K2vTune: A workload-aware configuration tuning for RocksDB. Inf. Process. Manag. 61(1): 103567 (2024) - [j11]Hyosoon Jang, Sangmin Seo, Sanghyun Park, Byung Ju Kim, Geon-Woo Choi, Jonghwan Choi, Chihyun Park:
De novo drug design through gradient-based regularized search in information-theoretically controlled latent space. J. Comput. Aided Mol. Des. 38(1): 32 (2024) - [c4]Seungyeon Choi, Sangmin Seo, Jonghwan Choi, Chihyun Park, Sanghyun Park:
DrDiff: Drug Response Prediction Through Controllable Diffusion-GE and Graph Attention Network. ECAI 2024: 1623-1630 - [i1]Jinyeong Park, Jaegyoon Ahn, Jonghwan Choi, Jibum Kim:
Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-directed Molecular Generation. CoRR abs/2403.20109 (2024) - 2023
- [j10]Shengmin Piao
SELF-EdiT: Structure-constrained molecular optimisation using SELFIES editing transformer. Appl. Intell. 53(21): 25868-25880 (2023) - [j9]Jonghwan Choi
ReBADD-SE: Multi-objective molecular optimisation using SELFIES fragment and off-policy self-critical sequence training. Comput. Biol. Medicine 157: 106721 (2023) - [j8]Jonghwan Choi, Sangmin Seo, Sanghyun Park:
COMA: efficient structure-constrained molecular generation using contractive and margin losses. J. Cheminformatics 15(1): 8 (2023) - 2022
- [j7]Heewon Jung, Jonghwan Choi
A Novel Machine Learning Model for Identifying Patient-Specific Cancer Driver Genes. IEEE Access 10: 54245-54253 (2022) - [j6]Jinuk Park, Chanhee Park, Jonghwan Choi
DeepGate: Global-local decomposition for multivariate time series modeling. Inf. Sci. 590: 158-178 (2022) - [j5]Huijun Jin, Won Gi Choi, Jonghwan Choi, Hanseung Sung, Sanghyun Park:
Improvement of RocksDB Performance via Large-Scale Parameter Analysis and Optimization. J. Inf. Process. Syst. 18(3): 374-388 (2022) - [c3]Jinho Yang
Cyber-Physical System Platform and Applications for Smart Manufacturing in Global Automotive Industry. APMS (2) 2022: 548-555 - 2021
- [j4]Chihyun Park
Improved Prediction of Cancer Outcome Using Graph-Embedded Generative Adversarial Networks. IEEE Access 9: 20076-20088 (2021) - [j3]Sangmin Seo, Jonghwan Choi
Binding affinity prediction for protein-ligand complex using deep attention mechanism based on intermolecular interactions. BMC Bioinform. 22(1): 542 (2021) - [c2]Jonghwan Choi, Sangmin Seo, Jinuk Park, Sanghyun Park:
MolBit: De novo Drug Design via Binary Representations of SMILES for avoiding the Posterior Collapse Problem. BIBM 2021: 364-367 - [c1]Jonghwan Choi
Design and Implementation of Digital Twin-Based Application for Global Manufacturing Enterprises. APMS (5) 2021: 12-19
2010 – 2019
- 2018
- [j2]Sangmin Seo, Jonghwan Choi, Soon Kil Ahn, Kil Won Kim, Jaekwang Kim, Jaehyuck Choi, Jinho Kim, Jaegyoon Ahn
Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms. Comput. Math. Methods Medicine 2018: 6565241:1-6565241:5 (2018) - 2017
- [j1]Jonghwan Choi
Improved prediction of breast cancer outcome by identifying heterogeneous biomarkers. Bioinform. 33(22): 3619-3626 (2017)
Coauthor Index
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last updated on 2024-12-10 20:42 CET by the dblp team
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