Kuai Fang

According to our database, Kuai Fang authored at least 6 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Differentiable modeling to unify machine learning and physical models and advance Geosciences.

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

CoRR, 2023

2021

The data synergy effects of time-series deep learning models in hydrology.

Kuai Fang, Daniel Kifer, Kathryn Lawson, Dapeng Feng, Chaopeng Shen

CoRR, 2021

2019

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

Kuai Fang, Ming Pan, Chaopeng Shen

IEEE Trans. Geosci. Remote. Sens., 2019

Enhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales.

Dapeng Feng, Kuai Fang, Chaopeng Shen

CoRR, 2019

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

Kuai Fang, Chaopeng Shen, Daniel Kifer

CoRR, 2019

2014

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

Chaopeng Shen, Jie Niu, Kuai Fang

Environ. Model. Softw., 2014