Date:14:00-17:00, May 20th, 2025
Location: Room QR404 ,The Hong Kong Polytechnic University(HKPU), Hong Kong SAR.
Coordinator: Charlie (Chuanhui) Yang, OceanBase CTO
14:00-14:05(5 mins)
Opening Remarks
Charlie Yang
OceanBase CTO
14:05-14:35(30 mins)
To Power-up RDBMSs: Data, Graph, and Neural Networks
Jeffrey Xu Yu
Professor,The Chinese University of Hong Kong
Dr. Jeffrey Xu Yu is a Professor in the Department of Systems Engineering and Engineering Management at The Chinese University of Hong Kong. His primary research interests include graph algorithms, graph processing systems, graph neural networks, and query processing in database systems. Dr. Yu has held several prestigious roles, including Information Director and member of the ACM SIGMOD Executive Committee (2007–2011), Associate Editor of IEEE Transactions on Knowledge and Data Engineering (TKDE) (2004–2008), and Associate Editor of the VLDB Journal (2007–2013). He currently serves as an Associate Editor for ACM Transactions on Database Systems (TODS) and the WWW Journal, among others. Dr. Yu has been actively involved in the organization and program committees of numerous international conferences and workshops. He has served as PC Co-Chair for conferences such as APWeb'04, WAIM'06, APWeb/WAIM'07, WISE'09, PAKDD'10, DASFAA'11, ICDM'12, NDBC'13, ADMA'14, CIKM'15, Bigcomp'17, DSAA'19, CIKM'19, and DASFAA'20, and as Conference General Co-Chair for APWeb'13, ICDM'18, and ADC'22.
14:35-15:05(30 mins)
The Dynamics of Vector Databases in Large Model Era from the Perspectives of Embedding, Indexing, and Retrieval Technologies
Lei Chen
Chair Professor,The Hong Kong University of Science and Technology (Guangzhou)
Lei Chen is a Chair Professor in Data Science and Analytics at HKUST (GZ), a Fellow of ACM and IEEE. Currently, he serves as the Dean of the Information Hub and the Director of the Big Data Institute at HKUST (GZ). Prof. Chen’s research spans several areas, including Data-driven AI, Big Data Analytics, the Metaverse, knowledge graphs, blockchain technology, data privacy, crowdsourcing, and spatial and temporal databases, as well as probabilistic databases. He earned his Ph.D. in Computer Science from the University of Waterloo, Canada.
Prof. Chen has received several prestigious awards, including the SIGMOD Test-of-Time Award in 2015 and the Best Research Paper Award at VLDB 2022. His team’s system also won the Excellent Demonstration Award at VLDB 2014. He served as the Program Committee Co-chair for VLDB 2019 and currently holds the position of Editor-in-Chief for IEEE Transactions on Data and Knowledge Engineering. In addition, he was the General Co-Chair of VLDB 2024 and will serve as the General Co-Chair of IJCAI China 2025.
15:05-15:35(30 mins)
Cross-modal Data Retrieval: from Both Database and AI Perspectives
Xiaochun Yang
Professor and Dean, Software College, Northeastern University
Yang Xiaochun is a professor in the Software College at Northeastern University, China. She serves as the Vice Chair of the Technical Committee of the China Computer Federation (CCF). She was a recipient of NSFC Outstanding Youth Award and was selected in the National High-Level Personnel Recruitment Program, the New Century Excellent Talents Program in Universities, and the CCF Distinguished Speaker Program. She is an IEEE/ACM senior member and CCF distinguished member. Her current research interests are in the area of database management technique and systems for advanced applicants, data privacy preserving, recommendation systems, and etc. She has co-authored three books, two text books, an invited paper in ACM SIGMOD Record 2010, and more than 150 papers, including six Best Paper awards of international conferences, and six best paper awards of national conferences. She served as General Co-chairs for ADMA 2023, NDBC 2023, and Annual Conference for Database Virtual Teaching and Research Interest Groups from 2021 to 2024. She also served as program Co-chairs for ADMA 2020, NDBC 2020. She has also been serving on Program Committees of the leading database and AI conferences including SIGMOD, SIGKDD, VLDB, ICDE, AAAI, IJCAI, CIKM, ICDM, etc.
15:35-15:50 Coffee Break (15 mins)
15:50-16:20(30 mins)
OceanBase:A Unified Distributed Database System for SQL + AI Workloads
Charlie Yang
OceanBase CTO
Charlie Yang, also known by his nickname "Rizhao," serves as the Chief Technology Officer for OceanBase, a native distributed database developed by Ant Group. His areas of expertise include large-scale cloud computing systems and distributed databases. In 2010, he joined OceanBase as one of its founding members. He has played a pivotal role in every phase of OceanBase's architecture design and technology development, leading to its successful implementation across Ant Group. Additionally, Charlie led the team that twice broke world records in the TPC-C benchmarks. He is the author of "Large-scale Distributed Storage Systems: Theory Analysis and Practical Framework" and contributed to "Analysis of OceanBase Database Source Code." Currently, Charlie Yang and his team at OceanBase are dedicated to creating a next-generation enterprise-level distributed database that is more open, flexible, efficient, and user-friendly.
16:20-16:50(30 mins)
Democratizing BI Analytics with Chat BI, Powered by DeepSeek
Daniel Ling
General Manager, OneConnect Financial Technology (Hong Kong) , Ping An Group
Daniel Ling has been the General Manager of Ping An Group’s OneConnect Financial Technology (Hong Kong) since 2020. He is responsible for the overall business development of OneConnect in Hong Kong region. Before joining Ping An Group, Daniel has over 20 years technology business development and management in IBM Greater China, as Head of Watson AI, Head of Data & Analytic, Head of SaaS and Manager of Information Management etc. Responsible analytic and data products includes Db2, Informix, NoSQL, database SaaS, DataStage etc.
16:50-17:30(40 mins)
Panel Discussion: The Impact of Large Language Models on Databases
Introduction to the OceanBase Event at ICDE2025
Tuesday May 20th 14:00 – 17:30 | OceanBase Technical Symposium on Database in the AI Era |
Tuesday May 20th 16:00 – 17:30 | Hounding Data Diversity: Towards Participant Selection in Vertical Federated Learning |
Tuesday May 20th 16:00 – 17:30 | Artemis: A Customizable Workload Generation Toolkit for Benchmarking Cardinality Estimation |
Wednesday May 21st 10:30 – 12:00 | Query Weak Equivalence and Its Verification in Analytical Databases & Artemis: A Customizable Workload Generation Toolkit for Benchmarking Cardinality Estimation |
Wednesday May 21st 17:30 – 17:50 | OceanBase: A Native Distributed Multi-model Database System |
Wednesday May 21st 14:00-16:30 | DEI & panel |
Thursday May 22nd 16:30-18:00 | Tutorial 02 | How to Answer Secure and Private SQL Queries? |
Friday May 23rd 11:00 – 12:30 | Efficient Structural Clustering over Hypergraphs |