| Comprehensive ensemble in QSAR prediction for drug discovery S Kwon, H Bae, J Jo, S Yoon BMC bioinformatics 20, 1-12, 2019 | 183 | 2019 |
| The message passing neural networks for chemical property prediction on SMILES J Jo, B Kwak, HS Choi, S Yoon Methods 179, 65-72, 2020 | 50 | 2020 |
| Flexible dual-branched message-passing neural network for a molecular property prediction J Jo, B Kwak, B Lee, S Yoon ACS omega 7 (5), 4234-4244, 2022 | 11 | 2022 |
| Development and validation of a next-generation sequencing–based multigene assay to predict the prognosis of estrogen receptor–positive, HER2-negative breast cancer HB Lee, SB Lee, M Kim, S Kwon, J Jo, J Kim, HJ Lee, HS Ryu, JW Lee, ... Clinical Cancer Research 26 (24), 6513-6522, 2020 | 9 | 2020 |
| Prediction of drug classes with a deep neural network using drug targets and chemical structure data J Jo, HS Choi, S Yoon 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 5 | 2019 |
| Mass spectra prediction with structural motif-based graph neural networks J Park, J Jo, S Yoon Scientific Reports 14 (1), 1400, 2024 | 4 | 2024 |
| GeoT: A Geometry-Aware Transformer for Reliable Molecular Property Prediction and Chemically Interpretable Representation Learning B Kwak, J Park, T Kang, J Jo, B Lee, S Yoon ACS omega 8 (42), 39759-39769, 2023 | 3 | 2023 |
| Geometry-aware transformer for molecular property prediction B Kwak, J Jo, B Lee, S Yoon arXiv preprint arXiv:2106.15516, 2021 | 3 | 2021 |
| Deep contrastive learning of molecular conformation for efficient property prediction YJ Park, HG Kim, J Jo, S Yoon Nature Computational Science 3 (12), 1015-1022, 2023 | 2 | 2023 |
| Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks J Lee, J Jo, B Lee, JH Lee, S Yoon Frontiers in Computational Neuroscience 16, 1062678, 2022 | 2 | 2022 |
| Flexible dual-branched message passing neural network for quantum mechanical property prediction with molecular conformation J Jo, B Kwak, B Lee, S Yoon arXiv preprint arXiv:2106.07273, 2021 | 2 | 2021 |
| Lasso Regression of RNA-Seq Data based on Bootstrapping for Robust Feature Selection J Jo, S Yoon KIISE Transactions on Computing Practices 23 (9), 557-563, 2017 | 1 | 2017 |
| Neural Polarization: Toward Electron Density for Molecules by Extending Equivariant Networks B Kwak, J Jo arXiv preprint arXiv:2406.00441, 2024 | | 2024 |
| Mass Spectra Prediction with Structural Motif-based Graph Neural Networks J Jo, J Park, S Yoon | | 2023 |
| Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information S Park, J Jo, J Park, Y Jeong, J Kim, S Lee, JY Kwak, I Kim, JK Park, ... arXiv preprint arXiv:2308.00558, 2023 | | 2023 |
| Deep learning-based prediction for significant coronary artery stenosis on coronary computed tomography angiography in asymptomatic populations H Lee, BG Kang, J Jo, HE Park, S Yoon, SY Choi, MJ Kim Frontiers in Cardiovascular Medicine 10, 2023 | | 2023 |
| Molecular Property Prediction with Deep Learning 조정희 서울대학교 대학원, 2021 | | 2021 |
| The Analysis of Genome Database Compaction based on Sequence Similarity S Kwon, B Lee, S Park, J Jo, S Yoon KIISE Transactions on Computing Practices 23 (4), 250-255, 2017 | | 2017 |
