报告主题：Deep Learning in Mobile Social Networks
报告摘要：Social networks play vital roles in our everyday lives. Bypassing traditional media channels, social networks have started to serve as one of the main venues for information dissemination. However, the mechanisms of information propagation, as well as those responsible for message virality in these networks, are still poorly understood. Still, the huge amount of available data or records of user interactions and powerful computing resources enable the use of deep learning in the hunt for better understanding of such networks. In this talk, we will discuss the characteristic of mobile social networks, introduce deep learning techniques, and their application in the investigations of mobile social networks' for efficient and secure operations. As an example, we will detail a selection technique of connection link removal from social networks in order to reduce the spread of rumors. We introduce two unique performance metrics called Average Inverse of Shortest Path Length (AIPL) and Rumor Saturation Rate (RSR) to evaluate how fast messages spread inside social networks. The talk will be concluded with different research directions in applying deep learning in mobile social network studies.
报告人简介：Dr. Jing Deng is an associate professor in the Department of Computer Science at the University of North Carolina at Greensboro (UNCG), Greensboro, North Carolina, USA. Dr. Deng visited the Department of Electrical Engineering at Princeton University and the Department of Electrical and Computer Engineering, WINLAB at Rutgers University in Fall of 2005. He was with the Department of Computer Science at the University of New Orleans from 2004 to 2008. He served as a Research Assistant Professor in the Department of Electrical Engineering & Computer Science at Syracuse University from 2002 to 2004. He received his Ph.D. degree from School of Electrical and Computer Engineering at Cornell University, Ithaca, New York, USA in January, 2002. He received his M.E. and B.E. degrees in Electronic Engineering at Tsinghua University in 1994 and 1997, respectively.
Dr. Deng is an editor of IEEE Transactions on Vehicular Technology. He received the Test-of-Time Award presented by the ACM Special Interest Group on Security, Audit and Control (SIGSAC) in 2013. Dr. Deng's research interests include wireless network and security, information assurance, mobile ad hoc networks, and social networks. He is a Fellow of the IEEE. His research webpage is at http://www.uncg.edu/~j_deng/