RAIDS Lab.

Responsible and Intelligent Data Systems Laboratory

The University of Sydney

School of Computer Science · Sydney, AU

●Founded in 2026 · Open to Student Applications

Mission

We develop efficient and trustworthy data systems for responsible real-world decision-making.

Vision

We envision data systems as sustainable intelligent infrastructure for long-term societal impact.

Philosophy

We bridge data processing and data understanding through advances in data systems and AI.

01Recent Newsview archive →

SERVICE2026-06-23Dr. Zhengyi Yang is serving as Program Committee Chair for the D2AI Workshop with ICDM; the call for papers is open.D2AI Workshop with ICDM CFP'26

SERVICE2026-06-23'26

Dr. Zhengyi Yang is serving as Program Committee Chair for the D2AI Workshop with ICDM; the call for papers is open.

D2AI Workshop with ICDM CFP

PAPER2026-05-27Our paper, "PTIL: Partitioned Tree-Cover Interval Labeling for Restricted-Domain Reachability Queries," was accepted by EDBT 2027.EDBT 2027Lille, France'26

PAPER2026-05-27'26

Our paper, "PTIL: Partitioned Tree-Cover Interval Labeling for Restricted-Domain Reachability Queries," was accepted by EDBT 2027.

EDBT 2027Lille, France

AWARD2026-05-08Our paper, “A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning,” won the Best Paper Award at the ICDE 2026 KDExLLM Workshop.ICDE 2026 KDExLLM WorkshopMontreal, Canada'26

AWARD2026-05-08'26

Our paper, “A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning,” won the Best Paper Award at the ICDE 2026 KDExLLM Workshop.

ICDE 2026 KDExLLM WorkshopMontreal, Canada

NEWS2026-05-04RAIDS Lab founded at the University of Sydney.Sydney, Australia'26

NEWS2026-05-04'26

RAIDS Lab founded at the University of Sydney.

Sydney, Australia

02Research Interestspublications →

R / 01

Scalable Data Systems

Scalable data platforms, query processing, distributed execution, graph analytics, and data infrastructure for modern AI workloads.

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R / 02

Responsible Data Intelligence

Reliable, accountable, and human-centred data intelligence, including AI-assisted data management and trustworthy generative systems.

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R / 03

Data for Real-World Applications

Data-driven systems for social good, real-world applications, and industry transformation across critical sectors.

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03Directorfull team →

Dr. Zhengyi Yang

ARC Early Career Industry Fellow · University of SydneyProfile Website

04Join Us

Prospective students and researchers.

RAIDS Lab welcomes students, researchers, and visiting scholars interested in data systems, responsible AI, and real-world AI applications.

Information →