| 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 | 423 | 2020 |
| Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles X Jia, J Willard, A Karpatne, J Read, J Zwart, M Steinbach, V Kumar Proceedings of the 2019 SIAM International Conference on Data Mining, 558-566, 2019 | 246 | 2019 |
| 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 | 239 | 2022 |
| Process‐guided deep learning predictions of lake water temperature JS Read, X Jia, J Willard, AP Appling, JA Zwart, SK Oliver, A Karpatne, ... Water Resources Research 55 (11), 9173-9190, 2019 | 229 | 2019 |
| Physics-guided machine learning for scientific discovery: An application in simulating lake temperature profiles X Jia, J Willard, A Karpatne, JS Read, JA Zwart, M Steinbach, V Kumar ACM/IMS Transactions on Data Science 2 (3), 1-26, 2021 | 186 | 2021 |
| A novel semi-supervised deep learning framework for affective state recognition on eeg signals X Jia, K Li, X Li, A Zhang 2014 IEEE international conference on bioinformatics and bioengineering, 30-37, 2014 | 99 | 2014 |
| Incremental Dual-memory LSTM in Land Cover Prediction X Jia, A Khandelwal, G Nayak, J Gerber, K Carlson, P West, V Kumar Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 77 | 2017 |
| 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 |
| Predicting lake surface water phosphorus dynamics using process-guided machine learning PC Hanson, AB Stillman, X Jia, A Karpatne, HA Dugan, CC Carey, ... Ecological Modelling 430, 109136, 2020 | 58 | 2020 |
| Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes X Jia, A Karpatne, J Willard, M Steinbach, J Read, PC Hanson, HA Dugan, ... arXiv preprint arXiv:1810.02880, 2018 | 53 | 2018 |
| Predicting Water Temperature Dynamics of Unmonitored Lakes With Meta‐Transfer Learning JD Willard, JS Read, AP Appling, SK Oliver, X Jia, V Kumar Water Resources Research 57 (7), e2021WR029579, 2021 | 48 | 2021 |
| Detecting epileptic seizures with electroencephalogram via a context-learning model G Xun, X Jia, A Zhang BMC medical informatics and decision making 16 (2), 97-109, 2016 | 40 | 2016 |
| 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 | 39 | 2020 |
| Predict land covers with transition modeling and incremental learning X Jia, A Khandelwal, G Nayak, J Gerber, K Carlson, P West, V Kumar Proceedings of the 2017 SIAM International Conference on Data Mining, 171-179, 2017 | 30 | 2017 |
| Collaborative restricted Boltzmann machine for social event recommendation X Jia, X Li, K Li, V Gopalakrishnan, G Xun, A Zhang 2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016 | 30 | 2016 |
| Multi-modal learning for video recommendation based on mobile application usage X Jia, A Wang, X Li, G Xun, W Xu, A Zhang 2015 IEEE International Conference on Big Data (Big Data), 837-842, 2015 | 28 | 2015 |
| Tracking temporal community strength in dynamic networks N Du, X Jia, J Gao, V Gopalakrishnan, A Zhang IEEE Transactions on Knowledge and Data Engineering 27 (11), 3125-3137, 2015 | 27 | 2015 |
| Learning large-scale plantation mapping from imperfect annotators X Jia, A Khandelwal, J Gerber, K Carlson, P West, V Kumar 2016 IEEE International Conference on Big Data (Big Data), 1192-1201, 2016 | 26 | 2016 |
| Learning large-scale plantation mapping from imperfect annotators X Jia, A Khandelwal, J Gerber, K Carlson, P West, V Kumar 2016 IEEE International Conference on Big Data (Big Data), 1192-1201, 2016 | 26 | 2016 |
| Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection X Jia, S Li, A Khandelwal, G Nayak, A Karpatne, V Kumar Proceedings of the 2019 SIAM International Conference on Data Mining, 513-521, 2019 | 24 | 2019 |
Vipin KumarUniversity of MinnesotaEmail confirmado em umn.edu
