报告题目： OpenNetLab: Empower AI-assisted networking research
报告时间：2023年4月21日下午15：30-17：30
报告地点：校本部计算机楼212
报告人：微软亚洲研究院 程文雪
报告简介： Currently AI training is data-driven, and training AI models for networking demands massive amounts of real data with different environments. The quality and depth of the data determines the accuracyte level of AI models a researcher can achieve. Until now, real network data has been far from enough to train an ideal model for network applications, since the Internet, composed of heterogeneous access devices and switching devices, and transmission media provides a nearly unlimited number of scenarios. To empower AI-assisted networking research, Microsoft Research Asia partners with universities in Asia built OpenNetLab in 2021. OpenNetLab is a network research community project. Its aims to promote the application and development of artificial intelligence (AI) in networking research by providing researchers with a universal distributed network testing platform and real network evaluation datasets. In this talk, we will introduce the latest status and some successful projects over OpenNetLab.
报告人简介：Wenxue Cheng is a Senior Researcher at Microsoft Research Aisa. She received B.S and Ph.D in computer science and technology from Tsinghua University in 2014 and 2019, respectively. Wenxue’s recent research interests include networking for AI and AI for networking. Her research achievements have been published in NSDI, SIGCOMM and NeurIPS.
