Tutorial-1
Cohesive Subgraph Mining on Multi-layer Graphs: Models, Algorithms and Applications
Speaker:
Abstract:
Multi-layer graph has emerged as a new representation of complex relationships between entities from various domains in the real world. Mining dense substructures in multi-layer graphs can provides deeper insights into the underlying complex systems. In this tutorial, we will introduce the models of multi-layer graphs, present various dense substructures in multi-layer graphs, describe the algorithms for mining dense substructures from multi-layer graphs, and demonstrate the applications of dense substructures in various applications.
Presenters:
Zhaonian Zou is a professor in the School of Computer Science and Technology, Harbin Institute of Technology, China. He completed his B.Sc. and M.Eng. degrees in computer science from Jilin University, China in 2002 and 2005, respectively, and obtained his Ph.D. degree in computer science from Harbin Institute of Technology in 2010. He is the principal investigator of 3 projects granted by the National Natural Science Foundation of China, including the ongoing project on multi-layer graph mining (Grant No.~62072138). His research interests lie in the area of big data and database systems. Run-An Wang is a Ph.D. candidate in computer science at the School of Computer Science and Technology, Harbin Institute of Technology, China under the direction of Prof. Zhaonian Zou. He completed his bachelor degree in computer science from Beihang University, China in 2020 and obtained his M.Eng. degree in computer science from Harbin Institute of Technology in 2022. His primary research interests include graph mining and database systems.
Tutorial-2
An Overview of Secure and Authenticated Queries
Speakers:
Abstract:
Nowadays, data outsourcing to the cloud has become increasingly popular for high-speed storage and retrieval. However, privacy and security are pressing concerns that hinder the further development of cloud computing. In addition, since the service providers or query users may be malicious, authenticated outsourced database has also gained wide attention. This talk will explore two key dimensions of outsourced queries: privacy and verifiability, and will review the recent, and not so recent, advances in secure and authenticated queries. In addition, we will discuss the new dimension of integrating machine learning (ML) model to accelerate the performance of search and verification.
Presenters:
Ningning Cui is currently associate professor with the Institute of Data Science and Artificial Intelligence, Chang'an University. He received his Ph.D. from Northeastern University and he is a visiting scholar at The University of Western Australia and Hong Kong Baptist University. His research interests include data privacy, query processing, information security. He has authored or coauthored many articles in the top and major tiered journals and conferences, including International Conferences on Data Engineering (ICDE), International Conference on Database Systems for Advanced Applications (DASFAA), IEEE Transactions on Data Engineering (TKDE), IEEE Transactions on Industrial Informatics (TII). He served as a journal associate editor for Array journal. He has served as the proceeding co-chair of ADMA 2023, workshop co-chair for Apweb-Waim 2025. He regularly serves as a PC member for conferences like WWW、CIKM, and DASFAA.
Huaijie Zhu is currently an associate professor with Sun Yat-Sen university. He received the BSc degree from the Information Science Department, Kunming University of Science and Technology, the MS degree from the Computer Science Department, Northeastern University. He received the PhD degree in computer science from Northeastern University, China, in 2018. His research interests include spatial database, and data privacy.
Jianliang Xu is a professor in the Department of Computer Science, Hong Kong Baptist University. He received the PhD degree in computer science from Hong Kong University of Science and Technology in 2002. His research interests include data management, mobile/pervasive computing, and networked and distributed systems. He has served on the editorial boards of IEEE Transactions on Knowledge and Data Engineering (TKDE). He is now the fellow of the IEEE.