Zhouyue Zhao博士学术报告


报告题目:Random Sampling over Joins Revisited

报告人:Zhouyue Zhao
邀请人:东北大学 2138com太阳集团 李芳芳 讲师

          东北大学 2138com太阳集团 马安香 讲师 

        东北大学 2138com太阳集团 寇月 副教授  

Join operator is one of the most important questions in relational algebra. Yet, it is often very time-consuming to compute in full on a large database. On the other hand, it is often the case that a user only needs a fairly accurate approximate query result for an aggregation query instead of an exact answer. Towards that, we have investigated how we can efficiently retrieve samples directly from the join results without computing them in full and how to utilize them.

Zhuoyue Zhao is a Ph.D at University of Utah. He is interested in query processing and query optimization in OLAP databases and his main focus is on approximate query processing and sampling from complex queries. He has published many high quality research papers in top international conference and journals, including PLVDB, ACM SIGMOD, ACM TOS, USENIX ATC. Zhuoyue received the best paper award in SIGMOD'16 and received the Google PhD Fellowship in 2019. He received B.S.E degree from Shanghai Jiao Tong University.