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2020 – today
- 2023
[i4]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)- 2021
- [i3]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)
2010 – 2019
- 2019
- [j2]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) - [i2]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) - [i1]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) - 2014
- [j1]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)
Coauthor Index
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