Title: Machine Learning for Databases: Foundations, Paradigms, and Open Problems
Time: May 27, 2024, 10:00-11:30
Location: Lecture Hall, 4th Floor, Information Building
Tencent Meeting ID: 334-102-865
Abstract
The database community has actively explored how machine learning (ML) can be leveraged to address challenges in database systems (ML4DB) for the past several years. The talk will briefly cover several selected ML4DB tasks, and then focus on our perceptions on two topics. First, query plan is used as input in several ML4DB tasks, and most studies usually focus on one task and develop a new design to represent query plans along with a ML4DB framework. This talk will present a different approach to these tasks by abstracting the query plan representation as a common component for multiple ML4DB tasks. This talk will also present a summary of finding of experimental study on query plan representation. Second, learned indexes are proposed to learn a ML model to replace the classic indexes. This talk will present a different way of using ML for indexes, namely enhancing the classic indexes with ML, rather than replacing them. Finally, the talk will briefly discuss some open ML4DB problems.
Gao Cong is currently a Professor in the School of Computer Science and Engineering at Nanyang Technological University (NTU), and a co-director for Singtel Cognitive and Artificial Intelligence Lab for Enterprises@NTU. He previously worked at Aalborg University, Denmark, Microsoft Research Asia, and the University of Edinburgh. His current research interests include ML4DB, spatial data management, spatial-temporal data mining, and recommendation systems. He received the best paper runner-up awards at the WSDM'20 and WSDM'22 conferences for two of his research papers. His citation in Google Scholar was over 18,000 with H-index 71. He served as a PC co-chair for ICDE’2022, the associate general chair of KDD’21, a PC co-chair for E&A track of VLDB 2014, and a PC vice-Chair for ICDE’18. He is an associate editor for ACM Transactions on Database Systems (TODS) and the vice Chair of ACM KDD Singapore chapter.
