| Differentiable modelling to unify machine learning and physical models for geosciences C Shen, AP Appling, P Gentine, T Bandai, H Gupta, A Tartakovsky, ... Nature Reviews Earth & Environment 4 (8), 552-567, 2023 | 45 | 2023 |
| Scour modeling based on immersed boundary method: A pathway to practical use of three-dimensional scour models Y Song, Y Xu, H Ismail, X Liu Coastal Engineering 171, 104037, 2022 | 18 | 2022 |
| Three-dimensional numerical modeling of local scour: A state-of-the-art review and perspective YG Lai, X Liu, FA Bombardelli, Y Song Journal of Hydraulic Engineering 148 (11), 03122002, 2022 | 13 | 2022 |
| An investigation on HOBEM in evaluating ship wave of high speed displacement ship X Chen, R Zhu, Y Song, J Fan Journal of Hydrodynamics 31 (3), 531-541, 2019 | 9 | 2019 |
| Bathymetry inversion using a deep‐learning‐based surrogate for shallow water equations solvers X Liu, Y Song, C Shen Water Resources Research 60 (3), e2023WR035890, 2024 | 7 | 2024 |
| Physically based sand slide method in scour models based on slope-limited diffusion Y Song, Y Xu, X Liu Journal of Hydraulic Engineering 146 (11), 04020074, 2020 | 7 | 2020 |
| A Surrogate Model for Shallow Water Equations Solvers with Deep Learning Y Song, C Shen, X Liu Journal of Hydraulic Engineering 149 (11), 04023045, 2023 | 4 | 2023 |
| Scour around underwater unexploded ordnances (UXOS): An experimental and computational investigation Y Song, SAM Darzikolaei, X Liu Ocean Engineering 262, 112146, 2022 | 4 | 2022 |
| An improved immersed boundary method for simulating flow hydrodynamics in streams with complex terrains Y Song, YG Lai, X Liu Water 12 (8), 2226, 2020 | 2 | 2020 |
| Improved adaptive immersed boundary method for smooth wall shear Y Song, YG Lai, X Liu World Environmental and Water Resources Congress 2020, 119-128, 2020 | 2 | 2020 |
| Differentiable modeling for global water resources under global change C Shen, Y Song, F Rahmani, T Bindas, D Aboelyazeed, K Sawadekar, ... EGU24, 2024 | | 2024 |
| Enhanced Continental Runoff Prediction through Differentiable Muskingum-Cunge Routing (δMC-CONUS-hydroDL2) T Bindas, Y Song, J Rapp, K Lawson, C Shen EGU24, 2024 | | 2024 |
| Learning data fusion and atmospheric forcing corrections using a physics-informed, differentiable hydrologic model KA Sawadekar, Y Song, C Shen 104th AMS Annual Meeting, 2024 | | 2024 |
| LSTM-based data integration to improve snow water equivalent prediction and diagnose error sources Y Song, WP Tsai, J Gluck, A Rhoades, C Zarzycki, R McCrary, K Lawson, ... Journal of Hydrometeorology 25 (1), 223-237, 2024 | | 2024 |
| Enhancing Differentiable Hydrological Modeling through an Adjoint-based Implicit Numerical Scheme Y Song, MP Clark, W Knoben, D Feng, C Shen AGU23, 2023 | | 2023 |
| Differentiable modeling for global hydrology C Shen, D Feng, Y Song, D Aboelyazeed, F Rahmani, T Bindas AGU23, 2023 | | 2023 |
| When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling Y Song, WJM Knoben, MP Clark, D Feng, KE Lawson, C Shen Hydrology and Earth System Sciences Discussions 2023, 1-35, 2023 | | 2023 |
| Deep learning insights into suspended sediment concentrations across the conterminous United States: Strengths and limitations Y Song, P Chaemchuen, F Rahmani, W Zhi, L Li, X Liu, E Boyer, T Bindas, ... EGU General Assembly Conference Abstracts, EGU-16821, 2023 | | 2023 |
| A high-quality deep-learning-based historical and near-real-time snow water equivalent product fusing satellite snow cover and in-situ data WP Tsai, Y Song, J Liu, C Shen AGU Fall Meeting Abstracts 2022, H32R-1140, 2022 | | 2022 |
| LSTM-based Integration of Recent Observations to Dramatically Improve One-month-ahead Point-based Snow Water Equivalent Forecast and Separate Error Sources Y Song, WP Tsai, C Shen AGU Fall Meeting Abstracts 2022, C35E-0931, 2022 | | 2022 |
