Yumeng Tao
Cited by
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A deep neural network modeling framework to reduce bias in satellite precipitation products
Y Tao, X Gao, K Hsu, S Sorooshian, A Ihler
Journal of Hydrometeorology 17 (3), 931-945, 2016
A two-stage deep neural network framework for precipitation estimation from bispectral satellite information
Y Tao, K Hsu, A Ihler, X Gao, S Sorooshian
Journal of Hydrometeorology 19 (2), 393-408, 2018
Precipitation identification with bispectral satellite information using deep learning approaches
Y Tao, X Gao, A Ihler, S Sorooshian, K Hsu
Journal of Hydrometeorology 18 (5), 1271-1283, 2017
An evaluation of post-processed TIGGE multimodel ensemble precipitation forecast in the Huai river basin
Y Tao, Q Duan, A Ye, W Gong, Z Di, M Xiao, K Hsu
Journal of hydrology 519, 2890-2905, 2014
Deep neural networks for precipitation estimation from remotely sensed information
Y Tao, X Gao, A Ihler, K Hsu, S Sorooshian
2016 IEEE congress on evolutionary computation (CEC), 1349-1355, 2016
Satellites track precipitation of super typhoon Haiyan
P Nguyen, S Sellars, A Thorstensen, Y Tao, H Ashouri, D Braithwaite, ...
Eos, Transactions American Geophysical Union 95 (16), 133-135, 2014
Multi-criterion model ensemble of CMIP5 surface air temperature over China
T Yang, Y Tao, J Li, Q Zhu, L Su, X He, X Zhang
Theoretical and Applied Climatology 132, 1057-1072, 2018
Evaluating the predictive skill of post‐processed NCEP GFS ensemble precipitation forecasts in China's Huai river basin
Y Liu, Q Duan, L Zhao, A Ye, Y Tao, C Miao, X Mu, JC Schaake
Hydrological Processes 27 (1), 57-74, 2013
Non‐stationary bias correction of monthly CMIP5 temperature projections over China using a residual‐based bagging tree model
Y Tao, T Yang, M Faridzad, L Jiang, X He, X Zhang
International Journal of Climatology 38 (1), 467-482, 2018
Effectiveness of peer detailing in a diarrhea program in Nigeria
Y Tao, D Bhattacharjya, AR Heching, A Vempaty, M Singh, F Lam, ...
IBM Journal of Research and Development 61 (6), 1: 1-1: 12, 2017
Precipitation estimation from remotely sensed data using deep neural networks
Y Tao, X Gao, S Sorooshian
AGU Fall Meeting Abstracts 2014, H13B-1077, 2014
Model analysis of engineering project process based on Coxian distribution
Y Tao
2022 Prognostics and Health Management Conference (PHM-2022 London), 108-112, 2022
Statistical Analysis of Peer Detailing for Children’s Diarrhea Treatments
Y Tao, D Bhattacharjya, AR Heching, A Vempaty, M Singh, F Lam, ...
2017 AAAI Spring Symposium Series, 2017
A Deep Learning Framework for Precipitation Estimation from Bispectral Satellite Information
Y Tao
University of California, Irvine, 2017
Precipitation Estimation from Remotely Sensed Data Using Deep Neural Network
Y Tao, X Gao, KL Hsu, S Sorooshian, A Ihler
AGU Fall Meeting Abstracts 2015, H13H-1659, 2015
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