GCRNN: graph convolutional recurrent neural network for compound-protein interaction prediction. - Ermal Elbasani; Soualihou Ngnamsie Njimbouom; Tae-Jin Oh; Eung-Hee Kim; Hyun Lee; Jeong-Dong Kim (BMC Bioinform., 2021)

Divergence/Connection Preservation Scheme in the Curvilinear Domain with a Small Geometric Approximation Error. - Sehun Chun; Tae-Jin Oh (J. Sci. Comput., 2022)

Efficient Machine Learning-Based Prediction of CYP450 Inhibition. - Gelany Aly Abdelkader; Soualihou Ngnamsie Njimbouom; Prince Delator Gidiglo; Tae-Jin Oh; Jeong-Dong Kim (DEXA (2), 2023)

Evidential deep learning for trustworthy prediction of enzyme commission number. - So-Ra Han; Mingyu Park; Sai Kosaraju; Jeungmin Lee; Hyun Lee; Jun Hyuck Lee; Tae-Jin Oh; Mingon Kang (Briefings Bioinform., 2023)

ResBiGAAT: Residual Bi-GRU with attention for protein-ligand binding affinity prediction. - Gelany Aly Abdelkader; Soualihou Ngnamsie Njimbouom; Tae-Jin Oh; Jeong-Dong Kim (Comput. Biol. Chem., 2023)

Deep learning for precipitation nowcasting: A survey from the perspective of time series forecasting. - Sojung An; Tae-Jin Oh; Eunha Sohn; Donghyun Kim 006 (Expert Syst. Appl., 2025)