Research Seminar by Professor Jeffrey Xu Yu from CUHK, 18th July 2024, at SCALE@NTU

Title: The Path to Support Massive Graphs: Insights into Algorithms, Systems, and Learning

Abstract: There has been a long history of supporting complex objects in Database Management Systems (DBMSs) since early 1970. With the emergence of online social networks in the 2000s, the focus has shifted towards supporting massive graph data.  And graph data has extensive applications across various domains, from transportation and communication networks that form the backbone of our global infrastructure, to economic networks, citation networks, knowledge graphs, etc.  Over the decades, the demand for handling such massive graph data has necessitated the design of new graph algorithms and the development of graph processing systems. Furthermore, graph neural networks have added a new dimension to this field.  In this talk, we aim at delving deeper into the realm of graph algorithms, graph processing systems, and graph neural networks. We will explore their approaches, and the insights they offer.

Bio: Dr Jeffrey Xu Yu is a Professor in the Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong. His current main research interests include graph algorithms, graph processing systems, graph neural networks, and query processing in database systems. Dr. Yu served as an Information Director and a member in ACM SIGMOD executive committee (2007-2011), an associate editor of IEEE TKDE (2004-2008), and an associate editor in VLDB Journal (2007-2013). Currently he servers as an associate editor of ACM TODS, WWW Journal, etc. Dr. Yu served/serves in many organization committees and program committees in international conferences/workshops including PC Co-chair of APWeb'04, WAIM'06, APWeb/WAIM'07, WISE'09, PAKDD'10, DASFAA'11, ICDM'12, NDBC'13, ADMA'14, CIKM'15, Bigcomp17, DSAA'19, CIKM'19, and DASFAA'20, and conference general Co-chair of APWeb'13, ICDM'18, and ADC'22.