Dr. Zongben Xu Academician of the Chinese Academy of Sciences, Professor of Mathematics & Computer Science, Xi’an Jiaotong University, Chief Scientist of National Basic Research Program of China.
Institute for Information and System Sciences, School of Mathematics & Statistics, Xi’an Jiaotong University Xi’an, 710049, China Fax: 86 029 82668559 Tel: 86 029 82668005 Email:email@example.com Secretry: Jijie Zhang
Xu Zongben,Chang Xiangyu, Xu Fengmin. L-1/2 Regularization: A Thresholding Representation Theory and a Fast Solver. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 23 (7): 1013-1027, 2012 PDF
Zeng, Jinshan; Lin, Shaobo; Wang, Yao; Xu, Zongben. L1/2 regularization: Convergence of iterative half thresholding algorithm. IEEE Transactions on Signal Processing, v 62, n 9, p 2317-2329, May 1, 2014.PDF
Zhao, Qian; Meng, Deyu; Xu, Zongben; Zuo, Wangmeng; Yan, Yan. L1-Norm Low-Rank Matrix Factorization by Variational Bayesian Method. IEEE Transactions on Neural Networks and Learning Systems, January 15, 2015, In Press. PDF
Peng, Yi; Meng, Deyu; Xu, Zongben; Gao, Chenqiang; Yang, Yi; Zhang, Biao. Decomposable nonlocal tensor dictionary learning for multispectral image denoising. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p 2949-2956, September 24, 2014.PDF
Jian Sun, Wenfei Cao, Zongben Xu, Jean Ponce. Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Columbus, USA, 2015.PDF
Upon the invitation of Prof. Zongben Xu, the delegate from RIKEN headed by Prof. Shun-ichi Amari visited the Institute of Information and System Sciences from April 11-15, 2011. And the XJTU-RIKEN Joint Workshop on Information Processing was held at Nanyang Hotel.
Prof. Xu and his team won the State Natural Science Award, 2007 (Second Class). Premier Wen Jiabao was shaking hands with him during the award conference held on January 8th, 2008 in the Great Hall of People, Beijing.
Prof. Zongben Xu was conferred the CSIAM Su Buchin Applied Mathematics Prize on the Fifth Delegation Meeting of Chinese Society for Industrial and Applied Mathematics and The Second Award Conference of the CSIAM Su Buchin Applied Mathematics Prize, which was held in Zhengzhou on August 27，2008.
Machine Learning Group Mainly focuses on fundamental problems in machine learning, including sparse learning, low-rank matrix/tensor analysis, loss modeling, self-paced learning, kernel learning, and related applications to image analysis, face recognition, action recognition and multimedia event detection.
Big Data Group
Mainly focuses on analysis and processing of big data and their applications to social networks. The major research topics include: subsampling techniques, bootstrap methods, distributed data processing, theory and methods of dimension reduction, modeling of social networks and nonparametric Bayesian methods.
Image Processing and Analysis Group
Mainly focuses on the research of natural and medical image processing and analysis. The specific research areas include natural image processing and recognition, 3D face recognition, medical image reconstruction and analysis, etc.
Learning Theory Group Mainly focuses on developing the learning theory based on non-i.i.d. observations and machine learning algorithms. The main interests include: statistical learning theory, domain adaptation, sampling theory and the relevant algorithms.