学　术

　　为加强我校师生与海内外知名学者的合作交流，计算机科学与工程学院组织开展学术报告系列活动。此次报告邀请了Google Research的沈斌博士来我校开展学术报告和交流讨论。

　　学术报告将于2017年6月5日10:00举行，具体日程安排如下，欢迎感兴趣的教师和博士生参加。

　　一、主　题：Matrix factorization for image processing

　　二、时　间：2017年6月5日（周一）上午10:00

　　三、主讲人：沈斌 博士（Google Research , New York）

　　四、地　点：主楼B1-104

　　五、主持人：徐增林 教授

　　六、内容简介：

　　Matrix factorization is one of the most popular machine learning techniques, which is widely used in many applications such as computer vision and text mining. Typically, it approximates the original high dimensional data with a linear representation in a low dimensional space by using the product of two matrices. However, in many real applications, the data are usually of special property, e.g., the data samples lie on manifold. This talk covers some simple matrix factorization algorithms designed for specific applications.

　　七、主讲人简介：

　　Bin Shen is currently with Google Research New York, working on computer vision and machine learning related projects. He earned B.S. and M.S. from Department of Electronic Engineering, Tsinghua University, Beijing, China in 2007 and 2009, and M.S. and Ph.D. from Department of Computer Science, Purdue University, West Lafayette, Indiana, U.S in 2011 and 2014. He has published over 30 research papers, and has served as reviewer or program committee in over 30 conferences/journals.

　　八、主办单位：计算机科学与工程学院

　　　　承办单位：统计机器智能与学习实验室（SMILE Lab）

　　　　　　　　　　　　　　　　　　 人力资源部教师发展中心

                          　2017年6月2日