学　术

　　人力资源部教师发展中心举办“学者论坛”系列学术活动，定期邀请与我校教师研究领域相关的知名学者，以专题报告的形式与师生分享和研讨最新研究动态和成果，旨在为教师提供学术探讨和交流的平台，开拓教师学术视野。现将第31期论坛安排如下，欢迎广大师生参加。

　　一、主　题：Toward Human Centric Video Understanding

　　二、主讲人：加拿大西蒙弗雷泽大学 Jie Liang教授

　　三、时　间：2016年8月18日（周四）14:30

　　四、地　点：清水河校区科研楼C218会议室

　　五、主持人：电子工程学院　朱策教授

　　六、内容简介：

　　Deep neural networks generally involve some layers with millions of parameters, making them difficult to be deployed and updated on devices with limited resources such as mobile phones and other smart embedded systems. In this paper, we propose a scalable representation of the network parameters, so that different applications can select the most suitable bit rate of the network based on their own storage constraints. Moreover, when a device needs to upgrade to a high-rate network, the existing low-rate network can be reused, and only some incremental data are needed to be downloaded. We first hierarchically quantize the weights of a pre-trained deep neural network to enforce weight sharing. Next, we adaptively select the bits assigned to each layer given the total bit budget. After that, we retrain the network to fine-tune the quantized centroids. Experimental results show that our method can achieve scalable compression with graceful degradation in the performance.

　　七、主讲人简介：

　　Jie Liang received the B.E. and M.E. degrees from Xi'an Jiaotong University, China, the M.E. degree from National University of Singapore (NUS), and the PhD degree from the Johns Hopkins University, Baltimore, Maryland, USA, in 1992, 1995, 1998, and 2003, respectively. Since May 2004, he has been with the School of Engineering Science, Simon Fraser University, Vancouver, Canada, where he is currently a Professor and the Associate Director.

　　Jie Liang's research interests include Image and Video Coding, Multimedia Communications, Sparse Signal Processing, Computer Vision, and Machine Learning. He has served as an Associate Editor for the IEEE Transactions on Image Processing (TIP), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), and IEEE Signal Processing Letters (SPL). He is a member of the IEEE Multimedia Systems and Applications (MSA) Technical Committee and Multimedia Signal Processing (MMSP) Technical Committee. He received the 2014 IEEE TCSVT Best Associate Editor Award, 2014 SFU Dean of Graduate Studies Award for Excellence in Leadership, and 2015 Canada NSERC Discovery Accelerator Supplements (DAS) Award.

　　八、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

　　欢迎广大老师和同学参加！

　　　　　　　　　　　　　　　　　　　　　人力资源部教师发展中心

　　　　　　　　　　　　　　　　　　　　　　　2016年8月17日