Improved prediction of breast cancer outcome by identifying heterogeneous biomarkers. - Jonghwan Choi; Sanghyun Park 003; Youngmi Yoon; Jaegyoon Ahn (Bioinform., 2017)

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)

MolBit: De novo Drug Design via Binary Representations of SMILES for avoiding the Posterior Collapse Problem. - Jonghwan Choi; Sangmin Seo 001; Jinuk Park; Sanghyun Park 003 (BIBM, 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 (APMS (5), 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)

Binding affinity prediction for protein-ligand complex using deep attention mechanism based on intermolecular interactions. - Sangmin Seo 001; Jonghwan Choi; Sanghyun Park 003; Jaegyoon Ahn (BMC Bioinform., 2021)

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 (APMS (2), 2022)

A Novel Machine Learning Model for Identifying Patient-Specific Cancer Driver Genes. - Heewon Jung; Jonghwan Choi; Jiwoo Park; Jaegyoon Ahn (IEEE Access, 2022)

DeepGate: Global-local decomposition for multivariate time series modeling. - Jinuk Park; Chanhee Park; Jonghwan Choi; Sanghyun Park 003 (Inf. Sci., 2022)

Improvement of RocksDB Performance via Large-Scale Parameter Analysis and Optimization. - Huijun Jin; Won Gi Choi; Jonghwan Choi; Hanseung Sung; Sanghyun Park 003 (J. Inf. Process. Syst., 2022)

ReBADD-SE: Multi-objective molecular optimisation using SELFIES fragment and off-policy self-critical sequence training. - Jonghwan Choi; Sangmin Seo 001; Seungyeon Choi; Shengmin Piao; Chihyun Park; Sung Jin Ryu; Byung Ju Kim; Sanghyun Park 003 (Comput. Biol. Medicine, 2023)

SELF-EdiT: Structure-constrained molecular optimisation using SELFIES editing transformer. - Shengmin Piao; Jonghwan Choi; Sangmin Seo 001; Sanghyun Park 003 (Appl. Intell., 2023)

COMA: efficient structure-constrained molecular generation using contractive and margin losses. - Jonghwan Choi; Sangmin Seo 001; Sanghyun Park 003 (J. Cheminformatics, 2023)

DrDiff: Drug Response Prediction Through Controllable Diffusion-GE and Graph Attention Network. - Seungyeon Choi; Sangmin Seo 001; Jonghwan Choi; Chihyun Park; Sanghyun Park 003 (ECAI, 2024)

Pseq2Sites: Enhancing protein sequence-based ligand binding-site prediction accuracy via the deep convolutional network and attention mechanism. - Sangmin Seo 001; Jonghwan Choi; Seungyeon Choi; Jieun Lee 006; Chihyun Park; Sanghyun Park 003 (Eng. Appl. Artif. Intell., 2024)

K2vTune: A workload-aware configuration tuning for RocksDB. - Jieun Lee 006; Sangmin Seo 001; Jonghwan Choi; Sanghyun Park 003 (Inf. Process. Manag., 2024)

De novo drug design through gradient-based regularized search in information-theoretically controlled latent space. - Hyosoon Jang; Sangmin Seo 001; Sanghyun Park 003; Byung Ju Kim; Geon-Woo Choi; Jonghwan Choi; Chihyun Park (J. Comput. Aided Mol. Des., 2024)

Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-Directed Molecular Generation. - Jinyeong Park; Jaegyoon Ahn; Jonghwan Choi; Jibum Kim (J. Chem. Inf. Model., 2025)

OCSAug: diffusion-based optical chemical structure data augmentation for improved hand-drawn chemical structure image recognition. - Jin Hyuk Kim; Jonghwan Choi (J. Supercomput., 2025)

PathNetDRP: a novel biomarker discovery framework using pathway and protein-protein interaction networks for immune checkpoint inhibitor response prediction. - Dohee Lee; Jaegyoon Ahn; Jonghwan Choi (BMC Bioinform., 2025)