Chaopeng Shen
Orcid: 0000-0002-0685-1901
According to our database1,
Chaopeng Shen
authored at least 24 papers
between 2011 and 2023.
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Bibliography
2023
The geometry of flow: Advancing predictions of river geometry with multi-model machine learning.
CoRR, 2023
CoRR, 2023
Differentiable modeling to unify machine learning and physical models and advance Geosciences.
CoRR, 2023
2022
Integration of Multisource Data to Estimate Downward Longwave Radiation Based on Deep Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2022
Constructing a Large-Scale Landslide Database Across Heterogeneous Environments Using Task-Specific Model Updates.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
CoRR, 2022
Differentiable, learnable, regionalized process-based models with physical outputs can approach state-of-the-art hydrologic prediction accuracy.
CoRR, 2022
Bathymetry Inversion using a Deep-Learning-Based Surrogate for Shallow Water Equations Solvers.
CoRR, 2022
2021
Continental-scale streamflow modeling of basins with reservoirs: a demonstration of effectiveness and a delineation of challenges.
CoRR, 2021
CoRR, 2021
2020
Prediction in ungauged regions with sparse flow duration curves and input-selection ensemble modeling.
CoRR, 2020
From parameter calibration to parameter learning: Revolutionizing large-scale geoscientific modeling with big data.
CoRR, 2020
2019
The Value of SMAP for Long-Term Soil Moisture Estimation With the Help of Deep Learning.
IEEE Trans. Geosci. Remote. Sens., 2019
Enhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales.
CoRR, 2019
Evaluating aleatoric and epistemic uncertainties of time series deep learning models for soil moisture predictions.
CoRR, 2019
Proceedings of the 19th IEEE International Conference on Software Quality, 2019
2018
The introspective may achieve more: Enhancing existing Geoscientific models with native-language emulated structural reflection.
Comput. Geosci., 2018
2017
A trans-disciplinary review of deep learning research for water resources scientists.
CoRR, 2017
2016
Proceedings of the Social Computing, 2016
2014
Quantifying the effects of data integration algorithms on the outcomes of a subsurface-land surface processes model.
Environ. Model. Softw., 2014
High-Resolution Simulation of Pore-Scale Reactive Transport Processes Associated with Carbon Sequestration.
Comput. Sci. Eng., 2014
2011
Adaptive mesh refinement based on high order finite difference WENO scheme for multi-scale simulations.
J. Comput. Phys., 2011