NOTES

Photo Gallery

VIDEOS

You are now here Home > Academics > Professors >

RE:Yang Qinli

published: 2016-12-27 14:28:32       hits: 

name : Yang Qinli  Sex: Female phone: 0086-13708184487
email: qinli.yang@uestc.edu.cn office-address: Main Building B1-205
PH.D  Supervisor: No Master Supervisor: Yes
major: Information and Communication Engineering
research interst: • Hydrology and water resources
• Spatio-temporal data mining
• Data stream mining
• Hydrological remote sensing
Biography: Dr. Yang is an associate professor working in the University of Electronic Science and Technology of China. Her research focuses on interdisciplinary work of water resources research and data mining, especially for hydrological data mining in the changing environment. She not only contributed to leading journals including Water Research, Environmental Modelling & Software but also published work in top-level data mining conferences like KDD and ICDM. She has published more than 20 peer reviewed papers and is in charge of several national and provincial  projects.  
Education experience: 10/2011 – 09/2013      Postdoc at the Institute of Computer Science at the University of Munich, Germany
09/2008 – 09/2011      PhD study in Water Engineering at the University of Edinburgh, UK
09/2007 – 07/2008      Postgraduate study in Ecology at the Northwest A&F University, China
09/2003 – 07/2007      Bachelor study in  Environmental Science at the Northwest A&F University, China
Selected Publications: [1] Wang, G., Zhang, J., and Yang, Q.. Attribution of Runoff Change for the Xinshui River Catchment on the Loess Plateau of China in a Changing Environment. Water, 2016, 8(6), 267; doi:10.3390/w8060267
[2] Yang Q., Boehm C., Scholz M., Plant C. and Shao J. Predicting Multiple Functions of Sustainable Flood Retention Basins under Uncertainty via Multi-instance Multi-label Learning. Water, 2015, 7 (4), 1359-1377.
[3] Yang Q., Shao J. and Scholz M. Self-organizing Map to Estimate Sustainable Flood Retention Basin Types and Variables. Environmental Engineering and Management Journal, 2014, 13 (1), 129-134.
[4] Yang Q., Shao J., Scholz M., Boehm C. and Plant C. Multi-label Classification Models for Sustainable Flood Retention Basins. Environmental Modelling and Software, 2012, 32, 27-36.
[5] Yang Q., Scholz M. and Shao Y. Application of Spatial Statistics as a Screening Tool for Sustainable Flood Retention Basin Management. Water and Environment Journal, 2012, 26 (2), 155-164.
[6] Yang Q., Shao J., Scholz M. and Plant C. Feature selection methods for characterizing and classifying adaptive Sustainable Flood Retention Basins. Water Research, 2011, 45 (3), 993-1004.
Books: None.