Biography
Prof. Feiping Nie
Prof. Feiping Nie
Northwestern Polytechnical University, China
Title: Large Graph Learning: Methodology and Application
Abstract: 
Graph based methods are popular and effective to solve many machine learning problem. However, traditional graph based methods are very time-consuming, which make them difficult to be applied in large scale data. In big data era, it is important and urgent to accelerate the graph based methods and make them scalable to big data. In this talk, I will introduce a new and effective large graph construction approach. This approach is linear time to the number of data points and thus can be applied in the case with million data. I will also discuss how to apply this approach to accelerate many graph based machine learning methods.
Biography: 
Feiping Nie received the Ph.D. degree in Computer Science from Tsinghua University, China in 2009, and currently is full professor in Northwestern Polytechnical University, China. His research interests are machine learning and its applications, such as pattern recognition, data mining, computer vision, image processing and information retrieval. He has published over 100 papers in the following journals and conferences: TPAMI, IJCV, TIP, TNNLS/TNN, TKDE, ICML, NIPS, KDD, IJCAI, AAAI, ICCV, CVPR, ACM MM. His papers have been cited more than 13000 times and the H-index is 62. He is now serving as Associate Editor or PC member for several prestigious journals and conferences in the related fields.