Jonghwan Choi

According to our database, Jonghwan Choi authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

De novo drug design through gradient-based regularized search in information-theoretically controlled latent space.

Hyosoon Jang, Sangmin Seo, Sanghyun Park, Byung Ju Kim, Geon-Woo Choi, Jonghwan Choi, Chihyun Park

J. Comput. Aided Mol. Des., December, 2024

K2vTune: A workload-aware configuration tuning for RocksDB.

Jieun Lee, Sangmin Seo, Jonghwan Choi, Sanghyun Park

Inf. Process. Manag., January, 2024

Pseq2Sites: Enhancing protein sequence-based ligand binding-site prediction accuracy via the deep convolutional network and attention mechanism.

Sangmin Seo, Jonghwan Choi, Seungyeon Choi, Jieun Lee, Chihyun Park, Sanghyun Park

Eng. Appl. Artif. Intell., January, 2024

Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-directed Molecular Generation.

Jinyeong Park, Jaegyoon Ahn, Jonghwan Choi, Jibum Kim

CoRR, 2024

DrDiff: Drug Response Prediction Through Controllable Diffusion-GE and Graph Attention Network.

Seungyeon Choi, Sangmin Seo, Jonghwan Choi, Chihyun Park, Sanghyun Park

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

COMA: efficient structure-constrained molecular generation using contractive and margin losses.

Jonghwan Choi, Sangmin Seo, Sanghyun Park

J. Cheminformatics, December, 2023

SELF-EdiT: Structure-constrained molecular optimisation using SELFIES editing transformer.

Shengmin Piao, Jonghwan Choi, Sangmin Seo, Sanghyun Park

Appl. Intell., November, 2023

ReBADD-SE: Multi-objective molecular optimisation using SELFIES fragment and off-policy self-critical sequence training.

Jonghwan Choi, Sangmin Seo, Seungyeon Choi, Shengmin Piao, Chihyun Park, Sung Jin Ryu, Byung Ju Kim, Sanghyun Park

Comput. Biol. Medicine, May, 2023

2022

Improvement of RocksDB Performance via Large-Scale Parameter Analysis and Optimization.

Huijun Jin, Won Gi Choi, Jonghwan Choi, Hanseung Sung, Sanghyun Park

J. Inf. Process. Syst., 2022

DeepGate: Global-local decomposition for multivariate time series modeling.

Jinuk Park, Chanhee Park, Jonghwan Choi, Sanghyun Park

Inf. Sci., 2022

A Novel Machine Learning Model for Identifying Patient-Specific Cancer Driver Genes.

Heewon Jung, Jonghwan Choi, Jiwoo Park, Jaegyoon Ahn

IEEE Access, 2022

Cyber-Physical System Platform and Applications for Smart Manufacturing in Global Automotive Industry.

Jinho Yang, Jonghwan Choi, Joohee Lym, Sang Do Noh, Yong-Shin Kang, Sang Hyun Lee, Hyung Sun Kim, Je-Hoon Lee, Hyun-Jung Kim

Proceedings of the Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action, 2022

2021

Binding affinity prediction for protein-ligand complex using deep attention mechanism based on intermolecular interactions.

Sangmin Seo, Jonghwan Choi, Sanghyun Park, Jaegyoon Ahn

BMC Bioinform., 2021

Improved Prediction of Cancer Outcome Using Graph-Embedded Generative Adversarial Networks.

Chihyun Park, Ilhwan Oh, Jonghwan Choi, Soohyun Ko, Jaegyoon Ahn

IEEE Access, 2021

Design and Implementation of Digital Twin-Based Application for Global Manufacturing Enterprises.

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

Proceedings of the Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 2021

MolBit: De novo Drug Design via Binary Representations of SMILES for avoiding the Posterior Collapse Problem.

Jonghwan Choi, Sangmin Seo, Jinuk Park, Sanghyun Park

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2018

Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms.

Sangmin Seo, Jonghwan Choi, Soon Kil Ahn, Kil Won Kim, Jaekwang Kim, Jaehyuck Choi, Jinho Kim, Jaegyoon Ahn

Comput. Math. Methods Medicine, 2018

2017

Improved prediction of breast cancer outcome by identifying heterogeneous biomarkers.

Jonghwan Choi, Sanghyun Park, Youngmi Yoon, Jaegyoon Ahn

Bioinform., 2017