Chaopeng Shen

发表

A Novel Filtering Method for Infrared Image

Guanglu Sun, Jian Kang, Chunxiao Zhou, 2016, ICYCSEE.

Evaluating aleatoric and epistemic uncertainties of time series deep learning models for soil moisture predictions pdf

Daniel Kifer, Chaopeng Shen, Kuai Fang, 2019, ArXiv.

Revealing Causal Controls of Storage-Streamflow Relationships With a Data-Centric Bayesian Framework Combining Machine Learning and Process-Based Modeling

Chaopeng Shen, Kuai Fang, Kathryn Lawson, 2020, Frontiers in Water.

Abnormal Traffic Flow Detection Based on Dynamic Hybrid Strategy

Yang Liu, Jian Kang, Weiqiang Xia, 2017 .

Enhancing Streamflow Forecast and Extracting Insights Using Long‐Short Term Memory Networks With Data Integration at Continental Scales pdf

Chaopeng Shen, Dapeng Feng, Kuai Fang, 2019, Water Resources Research.

Continental-scale streamflow modeling of basins with reservoirs: a demonstration of effectiveness and a delineation of challenges pdf

Lei Ye, Chaopeng Shen, Dapeng Feng, 2021, ArXiv.

HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community

Kuolin Hsu, Daniel Kifer, Zheng Fang, 2018, Hydrology and Earth System Sciences.

Deep Learning: A Next-Generation Big-Data Approach for Hydrology

Chaopeng Shen, 2018 .

Quantifying the effects of data integration algorithms on the outcomes of a subsurface-land surface processes model

Chaopeng Shen, Kuai Fang, Jie Niu, 2014, Environ. Model. Softw..

HESS Opinions: Deep learning as a promising avenue toward knowledge discovery in water sciences

Kuolin Hsu, Daniel Kifer, Zheng Fang, 2018 .

The Value of SMAP for Long-Term Soil Moisture Estimation With the Help of Deep Learning

Chaopeng Shen, Kuai Fang, Ming Pan, 2019, IEEE Transactions on Geoscience and Remote Sensing.

An investigation of the effect of pore scale flow on average geochemical reaction rates using direct numerical simulation

David Trebotich, Carl I. Steefel, Chaopeng Shen, 2012 .

THE APPLICATION OF FUZZY MULTIOBJECTIVE AND ARTIFICIAL NEURAL NETWORKS ON URBAN PUBLIC TRANSIT EQUILIBRIUM. IN: NEURAL NETWORKS IN TRANSPORT APPLICATIONS

Chaopeng Shen, Y Chang, 1998 .

The Data Synergy Effects of Time‐Series Deep Learning Models in Hydrology pdf

Daniel Kifer, Chaopeng Shen, Dapeng Feng, 2021, Water Resources Research.

Prolongation of SMAP to Spatiotemporally Seamless Coverage of Continental U.S. Using a Deep Learning Neural Network

Xiao Yang, Daniel Kifer, Chaopeng Shen, 2017, 1707.06611.

Adaptive mesh refinement based on high order finite difference WENO scheme for multi-scale simulations

Chaopeng Shen, Andrew J. Christlieb, Jing-Mei Qiu, 2011, J. Comput. Phys..

High-Resolution Simulation of Pore-Scale Reactive Transport Processes Associated with Carbon Sequestration

Mark F. Adams, David Trebotich, Carl I. Steefel, 2014, Computing in Science & Engineering.

A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists pdf

Chaopeng Shen, Chaopeng Shen, 2017, Water Resources Research.

From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling

Chaopeng Shen, Dapeng Feng, Ming Pan, 2021, Nature communications.

Continental-scale streamflow modeling of basins with reservoirs: a demonstration of effectiveness and a delineation of challenges pdf

Chaopeng Shen, Chi Zhang, Dapeng Feng, 2021, ArXiv.

Critical Risk Indicators (CRIs) for the electric power grid: a survey and discussion of interconnected effects

Tianyi Qu, David S. Matteson, Chaopeng Shen, 2021, Environment Systems and Decisions.

Utilizing an interactive AI-empowered web portal for landslide labeling for establishing a landslide database in Washington state, USA

Daniel Kifer, Chaopeng Shen, Te Pei, 2021 .

Continental-scale streamflow modeling of basins with reservoirs: Towards a coherent deep-learning-based strategy

Chaopeng Shen, Chi Zhang, Dapeng Feng, 2021 .

Full‐flow‐regime storage‐streamflow correlation patterns provide insights into hydrologic functioning over the continental US

Chaopeng Shen, Kuai Fang, Chaopeng Shen, 2017 .

Improving Budyko curve‐based estimates of long‐term water partitioning using hydrologic signatures from GRACE

Chaopeng Shen, Joshua B. Fisher, Jie Niu, 2016 .

High-Performance Computations of Subsurface Reactive Transport Processes at the Pore Scale

David Trebotich, Carl I. Steefel, Chaopeng Shen, 2011 .

An efficient space-fractional dispersion approximation for stream solute transport modeling

Chaopeng Shen, Mantha S. Phanikumar, Chaopeng Shen, 2009 .

An overview of current applications, challenges, and future trends in distributed process-based models in hydrology

David G. Tarboton, Norm Jones, Chaopeng Shen, 2016 .