Jonghwan Choi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 17

Top Topics

Machine Learning

Manufacturing Enterprises

Prediction Accuracy

Protein Protein

Top Venues

Publications

Jinyeong Park, Jaegyoon Ahn, Jonghwan Choi, Jibum Kim
Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-directed Molecular Generation. CoRR (2024)
Jieun Lee, Sangmin Seo, Jonghwan Choi, Sanghyun Park
K2vTune: A workload-aware configuration tuning for RocksDB. Inf. Process. Manag. 61 (1) (2024)
Sangmin Seo, Jonghwan Choi, Seungyeon Choi, Jieun Lee, Chihyun Park, Sanghyun Park
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) (2024)
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) (2024)
Jonghwan Choi, Sangmin Seo, Sanghyun Park
COMA: efficient structure-constrained molecular generation using contractive and margin losses. J. Cheminformatics 15 (1) (2023)
Jonghwan Choi, Sangmin Seo, Seungyeon Choi, Shengmin Piao, Chihyun Park, Sung Jin Ryu, Byung Ju Kim, Sanghyun Park
ReBADD-SE: Multi-objective molecular optimisation using SELFIES fragment and off-policy self-critical sequence training. Comput. Biol. Medicine 157 (2023)
Shengmin Piao, Jonghwan Choi, Sangmin Seo, Sanghyun Park
SELF-EdiT: Structure-constrained molecular optimisation using SELFIES editing transformer. Appl. Intell. 53 (21) (2023)
Jinuk Park, Chanhee Park, Jonghwan Choi, Sanghyun Park
DeepGate: Global-local decomposition for multivariate time series modeling. Inf. Sci. 590 (2022)
Heewon Jung, Jonghwan Choi, Jiwoo Park, Jaegyoon Ahn
A Novel Machine Learning Model for Identifying Patient-Specific Cancer Driver Genes. IEEE Access 10 (2022)
Jinho Yang, Jonghwan Choi, Joohee Lym, Sang Do Noh, Yong-Shin Kang, Sang Hyun Lee, Hyung Sun Kim, Je-Hoon Lee, Hyun-Jung Kim
Cyber-Physical System Platform and Applications for Smart Manufacturing in Global Automotive Industry. APMS (2) (2022)
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) (2022)
Sangmin Seo, Jonghwan Choi, Sanghyun Park, Jaegyoon Ahn
Binding affinity prediction for protein-ligand complex using deep attention mechanism based on intermolecular interactions. BMC Bioinform. 22 (1) (2021)
Jonghwan Choi, Jinho Yang, Joohee Lym, Sang Do Noh, Yong-Shin Kang, Yu La Joe, Sang Hyun Lee, Jeong-Tae Kang, Jungmin Song, Dae Yub Lee, Hyung Sun Kim
Design and Implementation of Digital Twin-Based Application for Global Manufacturing Enterprises. APMS (5) (2021)
Chihyun Park, Ilhwan Oh, Jonghwan Choi, Soohyun Ko, Jaegyoon Ahn
Improved Prediction of Cancer Outcome Using Graph-Embedded Generative Adversarial Networks. IEEE Access 9 (2021)
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)
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 (2018)
Jonghwan Choi, Sanghyun Park, Youngmi Yoon, Jaegyoon Ahn
Improved prediction of breast cancer outcome by identifying heterogeneous biomarkers. Bioinform. 33 (22) (2017)