| 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 | 155 | 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 | 86 | 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 | 70 | 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 | 63 | 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 | 43 | 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 | 41 | 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 | 40 | 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 | 39 | 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 | 23 | 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 | 5 | 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 | 3 | 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 | | 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 | | 2017 |
| A Deep Learning Framework for Precipitation Estimation from Bispectral Satellite Information Y Tao University of California, Irvine, 2017 | | 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 | | 2015 |
soroosh sorooshianProfessor of Civil Engineering, UC IrvineDirección de correo verificada de uci.edu
