AQFC2015

Exploring the Foundations and Paradigms of AI for Databases

----------------------------------------------------------------------------------------------------







     Department of Systems Engineering and Engineering Management



                        The Chinese University of Hong Kong



----------------------------------------------------------------------------------------------------

Please notice that this seminar is on Thursday morning instead of

Friday afternoon!



Date: Thursday, March 27, 10:00 am – 11:00 am



Venue: ERB 513, The Chinese University of Hong Kong



Title: Exploring the Foundations and Paradigms of AI for Databases



Speaker: Professor Gao Cong, Nanyang Technological University



Abstract: With the convergence of data and AI, the database community

has actively explored two key directions: leveraging AI to tackle

challenges in database systems (AI4DB) and developing data systems to

support AI applications.  This talk will first cover AI4DB, focusing

on the following topics:  1) Query Plan Representation as a foundation

of AI4DB, serving as input for various AI4DB tasks.  2) Paradigms of

AI4DB – We discuss “Replacement,’ aiming to learn machine learning

(ML) models to replace traditional components (e.g., learned indexes),

and “Enhancement,” aiming to apply ML to improve existing database

components (e.g., optimizing indexes without replacement).  3) LLMs

for Query Rewriting – A brief introduction to using large languagemodels (LLMs) in query optimization.  The talk will then briefly

explore the development of data systems to support AI applications. 





Bio: Gao Cong is currently a Professor in the College of Computing and

Data Science at Nanyang Technological University (NTU), and is the

head of the Division of Data Science at NTU. He previously worked at

Aalborg University, Microsoft Research Asia, and the University of

Edinburgh. His current research interests include AI4DB, spatial data

management, spatial-temporal data mining, and recommendation systems.

His citations in Google Scholar were over 20,000 with an H-index of

73. He received the best paper runner-up awards at the WSDM'20 and

WSDM'22 conferences for two of his research papers. He is an associate

editor for ACM Transactions on Database Systems (TODS), IEEE TKDE, and

the vice Chair of the ACM KDD Singapore chapter.

Date: 
Thursday, March 27, 2025 - 10:00 to 11:00