Yue Liu 刘 越

Yue Liu 刘 越

Research Fellow

Dr Yue Liu is currently a Research Fellow at Australian National University, before that he was a Research Engineer at the Software Engineering for AI team, Data61, CSIRO. Yue received the “Early Career in Science Award” in Data61 Software & Computational Systems Biannual Awards in 2024. Yue received his PhD from University of New South Wales in 2024 under the supervision of Dr. Qinghua Lu, Dr. Liming Zhu, and Prof. Hye-Young Paik.

Yue has published many papers at top-tier CORE A*/A ranked conferences/journals, including Information Systems, Journal of Systems and Software, ICSA. Please refer to his Google Scholar page for the latest publications.

Research interest: Responsible AI, AI engineering, agent architecture, SE for AI, AI for HSE.

Teaching interest: Foundational computing courses (data structures, algorithms), Programming courses, Software engineering courses, Professional research courses.

Experience

Research Fellow (03/2025 to present, School of Computing, Australian National University)

  • Comparative analysis of duties, prohibitions, and compliance structures of Australian WHS regulations via LLM.

  • Surveying AI acceptance in HSE, contributing to the broader understanding of societal trust in AI.

  • Organising interdisciplinary workshops engaging legal, industry, and research stakeholders to disseminate findings and foster responsible AI adoption.

Research Engineer (09/2023 to 03/2025, CSIRO’s Data61)

  • Propose an architectural pattern catalogue for foundation model-based agents.

  • Co-contributions to the ESG-AI framework development collaborating with Alphinity.

  • Propose an architecture design and analyse design decision trade-offs for a tax copilot collaborating with Empathetic AI.

  • Lead RAI pattern catalogue mapping to the EU AI Act, ISO 42001 standard, and Australia Voluntary AI Safety standard draft with Australia National AI Centre.

  • Technical lead for the Data Bill of Materials project collaborated with CSIRO IM&T department.

  • Data validation and qualitative analysis for International Network of AI Safety Institutes Joint Testing Exercise.

  • Prototype development for blockchain-based Indigenous information tracing platform.

Research Technician (07/2022 to 09/2023, CSIRO’s Data61)

  • Conduct multivolcal literature review for risk assessment for Responsible AI.

  • Refine metrics for AI risk assessment.

Educational Background

  • Doctor of Philosophy (2020 – 2024): University of New South Wales (co-supervised by researchers from CSIRO’s Data61)
  • Master of Engineering by Research (2017 – 2020): China University of Petroleum (East China)
  • Bachelor (2013 - 2017): China University of Petroleum (East China)

Awards

  • “Early Career in Science Award” in Data61 Software & Computational Systems Program, 2024.
  • “University International Postgraduate Award”, University of New South Wales, 2020-2024.