Tianfang Xu

发表

Learning Relational Kalman Filtering

Jaesik Choi, Eyal Amir, Albert J. Valocchi, 2015, AAAI.

IMPROVING GROUNDWATER FLOW MODEL PREDICTION USING COMPLEMENTARY DATA-DRIVEN MODELS

Jaesik Choi, Eyal Amir, Albert J. Valocchi, 2012 .

Use of Machine Learning Methods to Reduce Predictive Error of Groundwater Models

Jaesik Choi, Eyal Amir, Tianfang Xu, 2014, Ground water.

A nonparametric sequential data assimilation scheme for soil moisture flow

M. Ye, Y. Zha, Tianfang Xu, 2020 .

Estimating Irrigation Water Consumption Using Machine Learning and Remote Sensing Data in Kansas High Plains

G. Niu, Tianfang Xu, R. Zeng, 2022, Remote. Sens..

Vanadium Induces Oxidative Stress and Mitochondrial Quality Control Disorder in the Heart of Ducks

Tianfang Xu, Caiying Zhang, Fan Yang, 2021, Frontiers in Veterinary Science.

Development of a point-source model to improve simulations of manure lagoon interactions with the environment.

Tianfang Xu, Margaret Garcia, R. Muenich, 2022, Journal of environmental management.

Machine learning for hydrologic sciences: An introductory overview

Tianfang Xu, Feng Liang, Tianfang Xu, 2021, WIREs Water.

Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

Senthold Asseng, David B. Lobell, Jian Peng, 2018, Agricultural and Forest Meteorology.

Hybrid Physically Based and Deep Learning Modeling of a Snow Dominated, Mountainous, Karst Watershed

Tianfang Xu, R. Zeng, B. Neilson, 2019, Water Resources Research.

Effects of Meteorological Forcing Uncertainty on High-Resolution Snow Modeling and Streamflow Prediction in a Mountainous Karst Watershed

Tianfang Xu, R. Zeng, B. Neilson, 2023, Journal of Hydrology.

Data-driven methods to improve baseflow prediction of a regional groundwater model

Albert J. Valocchi, Tianfang Xu, A. Valocchi, 2015, Comput. Geosci..

Quantifying model structural error: Efficient Bayesian calibration of a regional groundwater flow model using surrogates and a data‐driven error model

Feng Liang, Ming Ye, Albert J. Valocchi, 2017 .

Multi-objective optimization of urban environmental system design using machine learning

Tianfang Xu, Peiyuan Li, Shiqi Wei, 2022, Comput. Environ. Urban Syst..

A Bayesian approach to improved calibration and prediction of groundwater models with structural error

Albert J. Valocchi, Tianfang Xu, A. Valocchi, 2015 .

Addressing Challenges for Mapping Irrigated Fields in Subhumid Temperate Regions by Integrating Remote Sensing and Hydroclimatic Data

Bruno Basso, Jillian M. Deines, Tianfang Xu, 2019, Remote. Sens..

Ungaged inflow and loss patterns in urban and agricultural sub‐reaches of the Logan River Observatory

Matthew P. Miller, Tianfang Xu, B. Neilson, 2021, Hydrological Processes.

Prioritizing environmental determinants of urban heat islands: A machine learning study for major cities in China

Tianfang Xu, H. Su, Haoran Hou, 2023, Int. J. Appl. Earth Obs. Geoinformation.

Machine Learning-Based Modeling of Spatio-Temporally Varying Responses of Rainfed Corn Yield to Climate, Soil, and Management in the U.S. Corn Belt

Kaiyu Guan, Tianfang Xu, Bin Peng, 2021, Frontiers in Artificial Intelligence.

Bayesian calibration of groundwater models with input data uncertainty

Ming Ye, Albert J. Valocchi, Feng Liang, 2017 .

Use of data-driven models to improve prediction of physically based groundwater models

Tianfang Xu, Tianfang Xu, 2012 .

Hybrid Physically Based and Deep Learning Modeling of a Snow Dominated, Mountainous, Karst Watershed

Tianfang Xu, R. Zeng, B. Neilson, 2022, Water Resources Research.