Yanling Li obtained a Ph.D. degree from Xi'an University of Technology in 2011. She is currently an Associate Professor at the School of Mathematics and Statistics of North China University of Water Resources and Electric Power. Her research directions mainly include big data modeling and data analysis. She has published more than 20 academic papers, including more than 10 papers retrieved by SCI and EI. Her main works are "Statistical Theory and Method of Water Quality" and "Mathematical Practice and Modeling". Her research interests mainly include the prediction of Yellow River runoff and risk assessment of drought and flood disasters, data modeling driven by deep learning and solving partial differential equations by deep learning methods, and dual-driven solution models of data and physical mechanisms.

Qianxing Sun entered the School of Mathematics and Statistics of North China University of Water Resources and Electric Power in 2022. Currently, she is pursuing a major in Mathematics. Her research topics mainly include the improvement of algorithms for solving partial differential equations by deep learning. Specifically, she is committed to exploring how to use advanced deep learning technology to make innovative improvements to traditional algorithms for solving partial differential equations. At the same time, she also pays attention to different types of partial differential equations and designs special deep learning algorithms according to their characteristics, striving to find more efficient and accurate solutions in complex mathematical problems. Through the combined research of deep learning and the solution of partial differential equations, Qianxing Sun hopes to provide new ideas and methods for the development and practical application of the field of mathematics.

Junfang Wei entered the School of Mathematics and Statistics of North China University of Water Resources and Electric Power in 2022. Currently, she is pursuing a major in Electronic Information. Her research topics mainly include the prediction of Yellow River runoff, risk assessment of drought and flood disasters, and dual-driven solution models of data and physical mechanisms.

Chunyan Huang obtained a Ph.D. degree from Xi'an University of Technology in 2021. She is currently an Associate Professor in the School of Mathematics and Statistics of North China University of Water Resources and Electric Power. Her research directions mainly include intelligent computing and big data analysis. She has published more than 20 academic papers, including more than 10 papers retrieved by SCI and EI. Her main works are "Probability Statistics and Its Implementation in R Language" and "Mathematical Practice and Modeling". Her research interests mainly include research on the mechanism and risk assessment of drought and flood disasters in the Yellow River Basin, digital image processing, and computer vision and deep learning.