Yue Liu 刘 越

Yue Liu 刘 越

Research Fellow

Dr Yue Liu is currently a Research Fellow at the Australian National University, mentored by Prof. Lexing Xie, Prof. Jing Jiang, and Associate Prof. Patrik Haslum. He was a Research Engineer in the Software Engineering for AI team at Data61, CSIRO. Yue received the “Early Career in Science Award” from Data61 in 2024. He received his PhD from the 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 in top-tier CORE A*/A-ranked conferences and journals, including Information Systems, Journal of Systems and Software, and ICSA. Please refer to his Google Scholar page for the latest publications.

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

Teaching interests: 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)

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

  • Contributed to ESG-AI framework development in collaboration with Alphinity.

  • Proposed an architecture design and analysed design decision trade-offs for a tax copilot in collaboration with Empathetic AI.

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

  • Served as technical lead for the Data Bill of Materials project in collaboration with CSIRO’s 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)

  • Conducted a multivocal literature review on risk assessment for Responsible AI.

  • Refined metrics for AI risk assessment.

Awards

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