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Journal Articles
- 2022
[j7]Savinay Nagendra
, Daniel Kifer, Benjamin Mirus, Te Pei, Kathryn Lawson, Srikanth Banagere Manjunatha, Weixin Li, Hien Nguyen, Tong Qiu, Sarah Tran, Chaopeng Shen:
Constructing a Large-Scale Landslide Database Across Heterogeneous Environments Using Task-Specific Model Updates. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 4349-4370 (2022)- [j6]Fuxin Zhu, Xin Li, Jun Qin, Kun Yang, Lan Cuo, Wenjun Tang, Chaopeng Shen:
Integration of Multisource Data to Estimate Downward Longwave Radiation Based on Deep Neural Networks. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - 2019
- [j5]Kuai Fang, Ming Pan, Chaopeng Shen:
The Value of SMAP for Long-Term Soil Moisture Estimation With the Help of Deep Learning. IEEE Trans. Geosci. Remote. Sens. 57(4): 2221-2233 (2019) - 2018
- [j4]Xinye Ji, Chaopeng Shen:
The introspective may achieve more: Enhancing existing Geoscientific models with native-language emulated structural reflection. Comput. Geosci. 110: 32-40 (2018) - 2014
- [j3]David Trebotich, Mark F. Adams, Sergi Molins, Carl I. Steefel, Chaopeng Shen:
High-Resolution Simulation of Pore-Scale Reactive Transport Processes Associated with Carbon Sequestration. Comput. Sci. Eng. 16(6): 22-31 (2014) - [j2]Chaopeng Shen, Jie Niu, Kuai Fang:
Quantifying the effects of data integration algorithms on the outcomes of a subsurface-land surface processes model. Environ. Model. Softw. 59: 146-161 (2014) - 2011
- [j1]Chaopeng Shen, Jing-Mei Qiu, Andrew J. Christlieb:
Adaptive mesh refinement based on high order finite difference WENO scheme for multi-scale simulations. J. Comput. Phys. 230(10): 3780-3802 (2011)
Conference and Workshop Papers
- 2019
- [c2]Chaopeng Shen, Xiaotao Yan, Qiaozhen Liu, Jian Kang, Yang Liu, Xiaogang Zheng, Xige Zhang, Yuanyi Liu:
An FPGA Design and Implementation of 4G Network Security Algorithm Based on SNOW3G. QRS Companion 2019: 387-392 - 2016
- [c1]Jian Kang, Chunxiao Zhou, Weiqiang Xia, Chaopeng Shen, Guanglu Sun:
A Novel Filtering Method for Infrared Image. ICYCSEE (1) 2016: 48-55
Informal and Other Publications
- 2023
- [i15]Chaopeng Shen, Alison P. Appling, Pierre Gentine, Toshiyuki Bandai, Hoshin V. Gupta, Alexandre Tartakovsky, Marco Baity-Jesi, Fabrizio Fenicia, Daniel Kifer, Li Li, Xiaofeng Liu, Wei Ren, Yi Zheng, Ciaran J. Harman, Martyn Clark, Matthew W. Farthing, Dapeng Feng, Praveen Kumar, Doaa Aboelyazeed, Farshid Rahmani, Hylke E. Beck, Tadd Bindas, Dipankar Dwivedi, Kuai Fang, Marvin Höge, Chris Rackauckas, Tirthankar Roy, Chonggang Xu, Kathryn Lawson:
Differentiable modeling to unify machine learning and physical models and advance Geosciences. CoRR abs/2301.04027 (2023) - [i14]Jiangtao Liu, Yuchen Bian, Chaopeng Shen:
Probing the limit of hydrologic predictability with the Transformer network. CoRR abs/2306.12384 (2023) - [i13]Savinay Nagendra, Chaopeng Shen, Daniel Kifer:
Estimating Uncertainty in Landslide Segmentation Models. CoRR abs/2311.11138 (2023) - [i12]Shuyu Y. Chang, Zahra Ghahremani, Laura Manuel, Seyed Mohammad Hassan Erfani, Chaopeng Shen, Sagy Cohen, Kimberly Van Meter, Jennifer L. Pierce, Ehab A Meselhe, Erfan Goharian:
The geometry of flow: Advancing predictions of river geometry with multi-model machine learning. CoRR abs/2312.11476 (2023) - 2022
- [i11]Xiaofeng Liu, Yalan Song, Chaopeng Shen:
Bathymetry Inversion using a Deep-Learning-Based Surrogate for Shallow Water Equations Solvers. CoRR abs/2203.02821 (2022) - [i10]Dapeng Feng, Jiangtao Liu, Kathryn Lawson, Chaopeng Shen:
Differentiable, learnable, regionalized process-based models with physical outputs can approach state-of-the-art hydrologic prediction accuracy. CoRR abs/2203.14827 (2022) - [i9]Savinay Nagendra, Chaopeng Shen, Daniel Kifer:
ThreshNet: Segmentation Refinement Inspired by Region-Specific Thresholding. CoRR abs/2211.06560 (2022) - 2021
- [i8]Kuai Fang, Daniel Kifer, Kathryn Lawson, Dapeng Feng, Chaopeng Shen:
The data synergy effects of time-series deep learning models in hydrology. CoRR abs/2101.01876 (2021) - [i7]Wenyu Ouyang, Kathryn Lawson, Dapeng Feng, Lei Ye, Chi Zhang, Chaopeng Shen:
Continental-scale streamflow modeling of basins with reservoirs: a demonstration of effectiveness and a delineation of challenges. CoRR abs/2101.04423 (2021) - [i6]Yalan Song, Chaopeng Shen, Xiaofeng Liu:
Surrogate Model for Shallow Water Equations Solvers with Deep Learning. CoRR abs/2112.10889 (2021) - 2020
- [i5]Wen-Ping Tsai, Ming Pan, Kathryn Lawson, Jiangtao Liu, Dapeng Feng, Chaopeng Shen:
From parameter calibration to parameter learning: Revolutionizing large-scale geoscientific modeling with big data. CoRR abs/2007.15751 (2020) - [i4]Dapeng Feng, Kathryn Lawson, Chaopeng Shen:
Prediction in ungauged regions with sparse flow duration curves and input-selection ensemble modeling. CoRR abs/2011.13380 (2020) - 2019
- [i3]Kuai Fang, Chaopeng Shen, Daniel Kifer:
Evaluating aleatoric and epistemic uncertainties of time series deep learning models for soil moisture predictions. CoRR abs/1906.04595 (2019) - [i2]Dapeng Feng, Kuai Fang, Chaopeng Shen:
Enhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales. CoRR abs/1912.08949 (2019) - 2017
- [i1]Chaopeng Shen:
A trans-disciplinary review of deep learning research for water resources scientists. CoRR abs/1712.02162 (2017)
Coauthor Index
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