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        计算机学院
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        学术讲座预告
         

        主持单位:广东工业大学计算机学院& 网络身份安全实验室(WIS Lab

        主持人:刘文印教授(广东工业大学网络身份安全实验室主任中国体育彩票官方APP下载,IAPR Fellow

        网站地址:www.wislab.cn


        报告题目:Facility Location Games and Resource Auction Games

        报告人:李闽溟副教授,香港城市大学

        报告时间:20185102:00-3:00PM

        报告地点:广东工业大学工学一号馆216室


        个人简介:

        李闽溟博士是香港城市大学计算机系副教授中国体育彩票官方APP下载中国体育彩票官方APP下载。他分别于20022006年在清华计算机科学与技术系取得本科和博士学位中国体育彩票官方APP下载中国体育彩票官方APP下载。他的主要研究兴趣是算法博弈论中国体育彩票官方APP下载,组合优化中国体育彩票官方APP下载,以及调度与排序问题中的算法设计与分析中国体育彩票官方APP下载中国体育彩票官方APP下载中国体育彩票官方APP下载。

        Dr. Minming Li is currently an associate professor in the Department of Computer Science, City University of Hong Kong. He received his Ph. D. and B.E. degree in the Department of Computer Science and Technology at Tsinghua University in 2006 and 2002 respectively. His research interests include algorithmic game theory, combinatorial optimization, and algorithm design and analysis for scheduling problems.


        报告摘要:

        Mechanism Design, as one of the important areas in algorithmic game theory, can be classified into two categories: with money and without money.Facility location game is one of the mostly studied problem in mechanism design without money. Procaccia and tennenholtz proposed and studied the problem back in 2009, where there are n agents on a line and the government will build a facility in a certain location given the agents reported information on their positions. Since every agent wants the facility to be closer to her, the government wants to make sure truth-telling is the best strategy for every agent while achieving some optimization objective. Since then, some bounds on the approximation ratios of the truthful mechanisms have been improved and new models are proposed. In this talk, we will briefly explain the story of the classic model and emphasize on therecent development on new models proposed by us and other groups. On the other hand, a resource auction model will also be briefly discussed where jobs bid for time slots from the virtual machines and the objective of the cloud is to elicit truth information from the jobs while maximizing the revenue.






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        中国体育彩票官方APP下载
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