学　术

　　人力资源部教师发展中心开展“名师讲堂”系列活动，以定期邀请国内外知名专家学者、国家级教学名师等作专题报告，旨在加强广大师生的学术思想交流和碰撞，促进青年教师成长，开拓学生视野。

　　“名师讲堂”第50期活动特别邀请Texas A&M University Zixiang Xiong教授主讲，欢迎广大师生参与。具体安排如下：

　　主　题：Adaptive Boosting for Image Denoising: Beyond Low-Rank Representation and Sparse Coding

　　时　间：2016年11月29日（周二）14:30

　　地　点：清水河校区品学楼B103室

　　主讲人：Texas A&M University Zixiang Xiong 教授

　　主持人：电子工程学院  朱策 教授

　　主办单位：人力资源部教师发展中心

　　承办单位： 电子工程学院、机器人研究中心

　　内容简介：

　　In the past decade, much progress has been made in image denoising due to the use of low-rank representation and sparse coding. In the meanwhile, state-of-the-art algorithms also rely on an iteration step to boost the denoising performance. However, the boosting step is fixed or non-adaptive. In this work, we perform rank-1 based fixed-point analysis, then, guided by our analysis, we develop the first adaptive boosting (AB) algorithm, whose convergence is guaranteed. Preliminary results on the same image dataset show that AB uniformly outperforms existing denoising algorithms on every image and at each noise level, with more gains at higher noise levels.

　　主讲人简介：

　　Zixiang Xiong received the Ph.D. degree in electrical engineering from the University of Illinois at Urbana-Champaign in 1996. He is currently a professor in the Department of Electrical and Computer Engineering at Texas A&M University. His main research interest lies in signal and information processing over networks.

　　Dr. Xiong received a National Science Foundation Career Award in 1999, an Army Research Office Young Investigator Award in 2000, and an Office of Naval Research Young Investigator Award in 2001. He also received the 2006 IEEE SIGNAL PROCESSING MAGAZINE Best Paper Award. He served as an Associate Editor for five IEEE Transactions. He was the Publications Chair of ICASSP 2007, the Technical Program Committee Co-Chair of ITW 2007, the Tutorial Chair of ISIT 2010, and the Awards Chair of Globecom 2014. He is a fellow of the IEEE.

　　　　　　　　　　　　　　　　　　　　人力资源部教师发展中心

　　　　　　　　　　　　　　　　　　　　　　2016年11月28日