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南洋理工大学杨杰龙博士学术报告

发布时间:2019-12-20点击:

  报告题目:On Truth Finding in Multi-agent Networks

  报告摘要:A problem named “truth finding” will be discussed in this talk. In this problem, an event is a phenomenon of interest and our goal is to infer the states of events (e.g., articles, movies, and signals) through biased observations of multiple agents (e.g., sensors and individuals) in a network. The local bias of each agent is unknown and affects the agent's observation of the event true states.  The following three cases of the problem will be discussed: each sequence of events are temporally correlated, agents are nodes of a social network, and the observation of each event is a graph signal.

  报告人简介:Jielong Yang received the B.Eng. and M.Sc. degree in Mechanical Engineering from Xi'an Jiaotong University in 2012 and 2014, respectively. He is currently a Ph.D. candidate at the School of Electrical and Electronic Engineering, Nanyang Technological University. His research interests include Bayesian networks and Graph neural networks.

  报告时间:2019年12月23日 星期一 10:00am

  报告地点:人工智能学院(中心校区行政楼601)

  主办单位:吉林大学人工智能学院