2017年7月28日，应张以文副教授的邀请，美国犹他大学李飞飞教授来实验室进行学术指导与交流。此次交流会上，张以文副教授对大数据实验室情况做了简要介绍，随后，实验室三位研究生分别向李飞飞教授汇报了自己的科研情况，李飞飞教授就大家提出的问题一一进行了指导。通过此次交流，实验室师生受益匪浅，也为进一步的合作交流奠定了坚实基础。

李飞飞教授简介：

Feifei Li is currently an associate professor at the School of Computing, University of Utah. He obtained his PhD from Boston University in 2007. His research focuses on improving the scalability, efficiency, and effectiveness of database and big data systems. He also works on data security problems in these systems.  He was a recipient for a NSF career award in 2011, two HP IRP awards in 2011 and 2012 respectively, a Google App Engine award in 2013, the IEEE ICDE best paper award in 2004, the IEEE ICDE 10+ Years Most Influential Paper Award in 2014, a Google Faculty award in 2015, SIGMOD Best Demonstration Award in SIGMOD 2015, the SIGMOD 2016 Best Paper Award, and the SIGMOD Research Highlight Award in 2017. He is/was the demo PC co-chair for SIMGOD 2018, a member of the SIGMOD Jim Gray Dissertation Award selection committee in 2017, a PC area chair for SIGMOD 2015 and ICDE 2014, the demo PC co-chair for VLDB 2014, and the general co-chair for SIGMOD 2014. He currently serves as an associate editor for ACM TODS and IEEE TKDE.