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 all news →

PAPER2026-09-17Four papers were accepted by the ICDM 2026 Demo Track, and one paper was accepted by the ICDM 2026 Education Forum.ICDM 2026Shenyang, China'26

PAPER2026-09-17'26

Four papers were accepted by the ICDM 2026 Demo Track, and one paper was accepted by the ICDM 2026 Education Forum.

ICDM 2026Shenyang, China

PAPER2026-09-13Our paper, "FenWalker: Towards FPGA Accelerated Dynamic Graph Random Walks on Massive Graphs," was accepted by SIGMOD 2027.SIGMOD 2027'26

PAPER2026-09-13'26

Our paper, "FenWalker: Towards FPGA Accelerated Dynamic Graph Random Walks on Massive Graphs," was accepted by SIGMOD 2027.

SIGMOD 2027

PAPER2026-08-21Our paper, "Beyond Overlap: Hierarchical Graph Abstraction for Out-of-Core Vector Search," was accepted by EuroSys 2027.EuroSys 2027'26

PAPER2026-08-21'26

Our paper, "Beyond Overlap: Hierarchical Graph Abstraction for Out-of-Core Vector Search," was accepted by EuroSys 2027.

EuroSys 2027

PAPER2026-08-20Two papers were accepted by EMNLP 2026 (Main Conference and Findings).EMNLP 2026Budapest, Hungary'26

PAPER2026-08-20'26

Two papers were accepted by EMNLP 2026 (Main Conference and Findings).

EMNLP 2026Budapest, Hungary

02Research Areaspublications →

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 →