报告主题:New Graph Learning Techniques for Networked Knowledge Inference and Privacy Protection
报告时间：2023年9月15日（周五）15:00-16:00
活动地点：腾讯会议号301205185，密码230915
报告人：倪巍教授
邀请人：唐小伟助理教授、黄新林教授
报告摘要：
Graph signals contain latent graph structures that can be used to excavate hidden information and network characteristics. For example, the latent graph structures of brain signals can assist the diagnosis of brain diseases, and the graph structures of COVID-19 data could help improve the understanding and prevention of the virus. In this talk, we will go through the latest techniques designed to extract the latent graph structures of graph signals, e.g., brain signals, COVID-19 data, etc. We will also present a few novel techniques that we proposed recently and can substantially improve the accuracy of graph extraction and recovery. Further, we will present new approaches that can protect the latent graph signals by obfuscating the graph signals in the latent spaces. By doing this, the graph signals can be resistant to graph inference attacks, hence protecting the identities and other private information associated with the graph signals.
嘉宾介绍
Wei Ni received the B.E. and Ph.D. degrees in electronic engineering from Fudan University, Shanghai, China, in 2000 and 2005, respectively. He is currently a Principal Research Scientist at CSIRO Data61, Sydney, Australia. He is also a Conjoint Professor at the University of New South Wales, an Adjunct Professor with the University of Technology Sydney, and an Honorary Professor at Macquarie University. Before this, he was a Deputy Project Manager at the Bell Laboratories, Alcatel/Alcatel-Lucent, from 2005 to 2008, and a Senior Researcher at Devices Research and Development, Nokia, from 2008 to 2009. His research interests include machine learning, stochastic optimization, online learning, and their applications to system efficiency and integrity.
He serves as the Chair of IEEE Vehicular Technology Society (VTS) New South Wales (NSW) Chapter, an Editor of IEEE Transactions on Vehicular Technology, and an Editor of IEEE Transactions on Wireless Communications. He served first as the Secretary and then the Vice-Chair of IEEE NSW VTS Chapter, from 2015 to 2019, the Track Chair for VTC-Spring 2017, the Track Co-Chair for IEEE VTC-Spring 2016, the Publication Chair for BodyNet 2015, and the Student Travel Grant Chair for WPMC 2014.
