| 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 | 70* | 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 | 38 | 2020 |
| Deep neural network approach to forward-inverse problems H Jo, H Son, HJ Hwang, E Kim arXiv preprint arXiv:1907.12925, 2019 | 33 | 2019 |
| 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 | 30 | 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 | 25 | 2020 |
| 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 | 10 | 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 | 1 | 2024 |
| Estimating the Distribution of Parameters in Differential Equations with Repeated Cross-Sectional Data H Jo, SW Cho, HJ Hwang arXiv preprint arXiv:2404.14873, 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 |
