Please note: This seminar will take place in DC 1304.
Guoliang Li, Professor
Department of Computer Science and Technology, Tsinghua University
Current unstructured data analytics systems often depend heavily on experts to code and manage complex workflows, resulting in high costs and significant time delays. To overcome these challenges, this talk introduces AgenticData, an intelligent data analytics system that empowers users to submit natural language (NL) queries while autonomously analyzing data across various domains, including both structured and unstructured data. AgenticData utilizes a multi-agent collaboration framework to automatically convert an NL query into a semantic plan that incorporates relational and semantic operators.
This framework features a data profiling agent for identifying relevant data, a semantic validation agent for iterative optimization based on user feedback, and a smart memory agent for managing short-term context and long-term knowledge. Furthermore, AgenticData incorporates advanced semantic optimization techniques to efficiently refine and execute semantic plans. The system has already been deployed in real-world applications, such as data analysis for banks and power grid companies, demonstrating its effectiveness and versatility in practical scenarios.
Bio: Guoliang Li is a professor in the Department of Computer Science at Tsinghua University. His research interests include database systems, machine learning for databases, and data agents.
He is an ACM Fellow and an IEEE Fellow. He has received numerous prestigious awards, including the VLDB 2017 Early Research Contribution Award, TCDE 2014 Early Career Award, ICDE 2025 Best Paper Runner-up, SIGMOD 2024 Research Highlight Award, Best of SIGMOD 2023 Papers, VLDB 2023 Best Industry Paper Runner-up, DASFAA 2023 Best Paper Award, Best of VLDB 2020 Papers, CIKM 2017 Best Paper Award, Best of KDD 2018 Papers, Best of ICDE 2018 Papers, DASFAA 2019 Best Student Paper Award, DASFAA 2014 Best Paper Runner-up, and APWeb 2014 Best Paper Award.
He served as General Co-chair for SIGMOD 2021 and will serve as PC Co-chair for ICDE 2027. He regularly contributes as a Senior Program Committee member for leading conferences such as SIGMOD, VLDB, ICDE, and KDD. He was an Associate Editor for IEEE TKDE and the VLDB Journal.