| Integrating physics-based modeling with machine learning: A survey J Willard, X Jia, S Xu, M Steinbach, V Kumar arXiv preprint arXiv:2003.04919 1 (1), 1-34, 2020 | 460 | 2020 |
| Integrating scientific knowledge with machine learning for engineering and environmental systems J Willard, X Jia, S Xu, M Steinbach, V Kumar ACM Computing Surveys 55 (4), 1-37, 2022 | 302 | 2022 |
| Physics-guided recurrent graph model for predicting flow and temperature in river networks X Jia, J Zwart, J Sadler, A Appling, S Oliver, S Markstrom, J Willard, S Xu, ... Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 65 | 2021 |
| Physics guided machine learning methods for hydrology A Khandelwal, S Xu, X Li, X Jia, M Stienbach, C Duffy, J Nieber, V Kumar arXiv preprint arXiv:2012.02854, 2020 | 48 | 2020 |
| Artificial intelligence for modeling complex systems: taming the complexity of expert models to improve decision making Y Gil, D Garijo, D Khider, CA Knoblock, V Ratnakar, M Osorio, H Vargas, ... ACM Transactions on Interactive Intelligent Systems 11 (2), 1-49, 2021 | 30 | 2021 |
| KGML-ag: a modeling framework of knowledge-guided machine learning to simulate agroecosystems: a case study of estimating N2O emission using data from … L Liu, S Xu, J Tang, K Guan, TJ Griffis, MD Erickson, AL Frie, X Jia, T Kim, ... Geoscientific Model Development 15 (7), 2839-2858, 2022 | 29 | 2022 |
| Regionalization in a global hydrologic deep learning model: from physical descriptors to random vectors X Li, A Khandelwal, X Jia, K Cutler, R Ghosh, A Renganathan, S Xu, ... Water Resources Research 58 (8), e2021WR031794, 2022 | 20 | 2022 |
| Physics-guided recurrent graph networks for predicting flow and temperature in river networks X Jia, J Zwart, J Sadler, A Appling, S Oliver, S Markstrom, J Willard, S Xu, ... arXiv preprint arXiv:2009.12575, 2020 | 19 | 2020 |
| Physics guided machine learning methods for hydrology, arXiv A Khandelwal, S Xu, X Li, X Jia, M Stienbach, C Duffy, J Nieber, V Kumar arXiv preprint arXiv:2012.02854, 2020 | 13 | 2020 |
| Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems, arXiv J Willard, X Jia, S Xu, M Steinbach, V Kumar arXiv preprint arXiv:2003.04919, 2020 | 12 | 2020 |
| Integrating scientific knowledge with machine learning for engineering and environmental systems. arXiv 2020 J Willard, X Jia, S Xu, M Steinbach, V Kumar arXiv preprint arXiv:2003.04919, 2003 | 12 | 2003 |
| Estimating the Autotrophic and Heterotrophic Respiration in the US Crop Fields using Knowledge Guided Machine Learning LIU Licheng, W Zhou, Z Jin, J Tang, X Jia, C Jiang, K Guan, B Peng, S Xu, ... Authorea Preprints, 2022 | 4 | 2022 |
| Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems L Liu, W Zhou, K Guan, B Peng, S Xu, J Tang, Q Zhu, J Till, X Jia, C Jiang, ... Nature communications 15 (1), 357, 2024 | 3 | 2024 |
| Mini-Batch Learning Strategies for modeling long term temporal dependencies: a study in environmental applications S Xu, A Khandelwal, X Li, X Jia, L Liu, J Willard, R Ghosh, K Cutler, ... Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 3 | 2023 |
| A deep transfer learning framework for mapping high spatiotemporal resolution LAI J Zhou, Q Yang, L Liu, Y Kang, X Jia, M Chen, R Ghosh, S Xu, C Jiang, ... ISPRS Journal of Photogrammetry and Remote Sensing 206 (0924-2716), 30-48, 2023 | 1 | 2023 |
| Knowledge-based Artificial Intelligence for Agroecosystem Carbon Budget and Crop Yield Estimation LIU Licheng, W Zhou, K Guan, B Peng, C Jiang, J Tang, S Wang, R Grant, ... Authorea Preprints, 2023 | 1 | 2023 |
| Knowledge-based Artificial Intelligence for Agroecosystem Carbon Budget and Crop Yield Estimation L LIU, W Zhou, K Guan, B Peng, C Jiang, J Tang, S Wang, R Grant, ... ESS Open Archive eprints 105, essoar. 10509206, 2023 | 1 | 2023 |
| Estimating the Autotrophic and Heterotrophic Respiration in the US Crop Fields using Knowledge Guided Machine Learning L LIU, W Zhou, Z Jin, J Tang, X Jia, C Jiang, K Guan, B Peng, S Xu, ... AGU Fall Meeting Abstracts 2021, B25O-13, 2021 | 1 | 2021 |
| Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling S Xu, A Khandelwal, A Renganathan, V Kumar Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024 | | 2024 |
| Knowledge-guided machine learning reveals key mechanistic pathways for better capturing growing season N2O hot moments and hotspots in the US Midwest L Ye, LIU Licheng, Y Yang, Z Li, W Zhou, B Peng, S Xu, V Kumar, Z Jin, ... AGU23, 2023 | | 2023 |
Xiaowei JiaUniversity of PittsburghVerified email at pitt.edu
