南京大学计算机科学与技术系
软件新技术与产业化协同创新中心
摘 要：
With
the advances of hardware, software, algorithms and emerging applications, there
is a new computing paradigm shift from centralized intelligence in the cloud to
distributed intelligence on the edge. It is critical to infuse AI to empower
edge devices and applications. This talk introduces our research work on
intelligent edge computing, including building affordable AI models for diverse
hardware, optimizing system performance of model inference, ensuring security
and privacy of user data and AI models, and enabling collaborative learning on
distributed devices. In particular, we focus on how to accelerate model
inference, including how to accelerate continuous mobile vision applications
through CNN caching and how to leverage model sparsity, both weight sparsity
and feature-map sparsity, to speed up model inference, without compromising
model accuracy.
报告人简介:
Dr. Yunxin Liu is a Senior Researcher at Microsoft Research Asia (MSRA) and the research
manager of the Heterogenous and
Extreme Computing Group. His research interests are mobile and edge systems,
focusing on system optimizations, power management, security and privacy,
sensing, and recently, intelligent edge computing. His research work has been
published in top conferences and journals such as MobiSys, MobiCom,
NSDI, CCS, ToN and
TMC; transferred into multiple Microsoft products including Visual Studio, XBOX
XDK, and Windows Phone; and featured in news media including ABC News, The
Register, NetworkWorld and
many others. He served as a TPC member of a set of conferences such as MobiSys, WWW
and INFOCOM. He received MobiCom 2015 Best Demo Award, PhoneSense 2011
Best Paper Award, and SenSys 2018 Best Paper Runner-up Award.
时间：4月19日
10:00-11:00
地点：计算机科学技术楼229室
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