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Xiaowei Jia
Xiaowei Jia
University of Pittsburgh
Подтвержден адрес электронной почты в домене pitt.edu - Главная страница
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Процитировано
Процитировано
Год
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
5522020
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
5192022
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
3322019
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
3102019
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
2842021
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
108*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
1072014
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
912020
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
902017
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
772021
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
632020
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
612018
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
502021
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
492016
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
472024
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
412022
A comprehensive investigation of LSTM-CNN deep learning model for fast detection of combustion instability
Z Lyu, X Jia, Y Yang, K Hu, F Zhang, G Wang
Fuel 303, 121300, 2021
412021
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
402022
Heterogeneous Spatio-Temporal Graph Convolution Network for Traffic Forecasting with Missing Values
W Zhong, Q Suo, X Jia, A Zhang, L Su
2021 IEEE 41st International Conference on Distributed Computing Systems …, 2021
372021
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
332019
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Статьи 1–20