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Xiaowei Jia
Xiaowei Jia
在 pitt.edu 的电子邮件经过验证 - 首页
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引用次数
引用次数
年份
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
4782020
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
3402022
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
2792019
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
2772019
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
2282021
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
1042014
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
86*2021
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
842017
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
722020
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
642021
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
552018
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
492020
Detecting epileptic seizures with electroencephalogram via a context-learning model
G Xun, X Jia, A Zhang
BMC medical informatics and decision making 16, 97-109, 2016
452016
A statistically-guided deep network transformation and moderation framework for data with spatial heterogeneity
Y Xie, E He, X Jia, H Bao, X Zhou, R Ghosh, P Ravirathinam
2021 IEEE International Conference on Data Mining (ICDM), 767-776, 2021
382021
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
322022
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
302017
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
302016
Multi‐Task Deep Learning of Daily Streamflow and Water Temperature
JM Sadler, AP Appling, JS Read, SK Oliver, X Jia, JA Zwart, V Kumar
Water Resources Research 58 (4), e2021WR030138, 2022
292022
Bringing automated, remote‐sensed, machine learning methods to monitoring crop landscapes at scale
X Jia, A Khandelwal, DJ Mulla, PG Pardey, V Kumar
Agricultural Economics 50, 41-50, 2019
282019
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
282019
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