唐少杰教授学术报告（UTD） 2016-06-06

题    目：Optimizing Ad Allocation in Social Advertising

基于社交网络的最优广告投放决策

报 告 人：唐少杰 (Shaojie Tang)，美国德州大学达拉斯分校教授

时    间：2016年6月7日（星期二）上午10:00-12:00

地    点：myball迈博体育平台appMyball迈博体育官方网站313会议室

讲座内容：Social advertising (or social promotion) is an effective approach that produces a significant cascade of adoption through influence in the 

online social networks. The goal of this work is to optimize the ad allocation from the platform’s perspective. 在线社交网络的广告投放是管理

学研究的热点问题之一，本讲座将介绍如何从社交平台的角度优化广告投放策略。

讲座人信息：Prof. Shaojie Tang received his Ph.D degree in computer science from Illinois Institute of Technology in 2012. Currently he is an assistant professor 

in Naveen Jindal School of Management, University of Texas at Dallas (UTD). Tang's research interest covers social networks, crowd computing, 

game theory, and wireless & mobile computing. He won the best paper awards of several international conferences, including ACM MobiHoc 2014, 

I-SPAN 2014 and MASS 2013. He was also recognized by ScienceDirect as one of the Top 25 papers in Elsevier’s Pervasive and Mobile 

Computing Journal in 2012. His publications have generated over 2,500 google citations.