| Real-world implications of a rapidly responsive COVID-19 spread model with time-dependent parameters via deep learning: Model development and validation SY Jung, H Jo, H Son, HJ Hwang Journal of medical Internet research 22 (9), e19907, 2020 | 81* | 2020 |
| Microstructure design using machine learning generated low dimensional and continuous design space J Jung, JI Yoon, HK Park, H Jo, HS Kim Materialia 11, 100690, 2020 | 44 | 2020 |
| Trend to equilibrium for the kinetic Fokker-Planck equation via the neural network approach HJ Hwang, JW Jang, H Jo, JY Lee Journal of Computational Physics 419, 109665, 2020 | 38 | 2020 |
| Hybrid model of mathematical and neural network formulations for rolling force and temperature prediction in hot rolling processes R Hwang, H Jo, KS Kim, HJ Hwang Ieee Access 8, 153123-153133, 2020 | 38 | 2020 |
| Deep neural network approach to forward-inverse problems H Jo, H Son, HJ Hwang, E Kim arXiv preprint arXiv:1907.12925, 2019 | 36 | 2019 |
| Endpoint temperature prediction model for LD converters using machine-learning techniques H Jo, HJ Hwang, D Phan, Y Lee, H Jang 2019 IEEE 6th International Conference on Industrial Engineering and …, 2019 | 18 | 2019 |
| Machine learning-based COVID-19 patients triage algorithm using patient-generated health data from nationwide multicenter database MS Park, H Jo, H Lee, SY Jung, HJ Hwang Infectious Diseases and Therapy 11 (2), 787-805, 2022 | 15 | 2022 |
| Density physics-informed neural networks reveal sources of cell heterogeneity in signal transduction H Jo, H Hong, HJ Hwang, W Chang, JK Kim Patterns 5 (2), 2024 | 9 | 2024 |
| Data-driven shortened Insomnia Severity Index (ISI): a machine learning approach H Jo, M Lim, HJ Jeon, J Ahn, S Jeon, JK Kim, S Chung Sleep and Breathing 28 (4), 1819-1830, 2024 | 3 | 2024 |
| Dysfunctional Beliefs and Attitudes about Sleep-6 (DBAS-6): Data-driven shortened version from a machine learning approach H Jo, HJ Jeon, J Ahn, S Jeon, JK Kim, S Chung Sleep Medicine 119, 312-318, 2024 | 2 | 2024 |
| Estimating the distribution of parameters in differential equations with repeated cross-sectional data H Jo, SW Cho, HJ Hwang PLOS Computational Biology 20 (12), e1012696, 2024 | 1 | 2024 |
| SymScore: Machine learning accuracy meets transparency in a symbolic regression-based clinical score generator OR Cawiding, S Lee, H Jo, S Kim, S Suh, EY Joo, S Chung, JK Kim Computers in Biology and Medicine 185, 109589, 2025 | | 2025 |
| Estimation of System Parameters Including Repeated Cross-Sectional Data through Emulator-Informed Deep Generative Model H Cho, SW Cho, H Jo, HJ Hwang arXiv preprint arXiv:2412.19517, 2024 | | 2024 |
| The diffusive limit of the Vlasov-Fokker-Planck equation with the chemotactic sensitivity coupled to a parabolic equation HJ Hwang, H Jo Journal of Mathematical Analysis and Applications 477 (2), 1224-1242, 2019 | | 2019 |
| Reverse Engineering for Programmable Logic Controller Structure Estimation Via White Box Networks HJ Hwang, H Jo, ES Lee Available at SSRN 5007732, 0 | | |
| Density Physics-Informed Neural Network reveals sources of cell heterogeneity in signal H Jo, H Hong, HJ Hwang, W Chang, JK Kim cell cycle 448, 947-951, 0 | | |