Shiyuan Liu is currently a PhD student at University of Technology Sydney (UTS), supervised by Prof. Ying Zhang, Prof. Lu Qin, and Dr. Jianwei Wang. He received his B.Eng. degree in Computer Science and Technology and M.Eng. degree in Information and Communication Engineering from Zhejiang Gongshang University.

His current research focuses on AI-powered data preparation and management, particularly leveraging LLM-augmented graph learning for the accurate and efficient discovery, integration, and quality management of large-scale tabular data.

📣 News

• 2026.08:  One paper is accepted to the VLDB.

🔖 Preprints

• Jianwei Wang, Shiyuan Liu, Mo Zhou, Wenjie Zhang, and Ying Zhang. Toward AI-First Data Management: A Tutorial.

📝 Publications

(* indicates corresponding author)

• 2026:
  • Shiyuan Liu, Jianwei Wang, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang. HyperJoin: LLM-augmented Hypergraph Link Prediction for Joinable Table Discovery. Proceedings of the VLDB Endowment (VLDB).
  • Ao Sun, Shiyuan Liu*, Dongliang Zhang, Xiaoyang Wang, Ying Zhang. When to Think Deep? Resource-Rational Metacognitive Control for Adaptive Inference in LLM-Based Legal QA. Annual Meeting of the Cognitive Science Society (CogSci).
• 2025:
  • Shiyuan Liu, Chuanhuang Li, Chao Chen, Bo Ma, Zebin Chen, Xiaoyang Wang, Ying Zhang. GEEK-Explainer: An Efficient Interpretation Method for Graph Neural Networks in SDN. IEEE Transactions on Cognitive Communications and Networking (TCCN).
  • Shiyuan Liu, Yujie Feng, Songjiang Yang, Bo Ma, Chuanhuang Li. An Efficient Ray-Tracing Framework for Urban Scenarios Powered by Heterogeneous Graph Neural Networks. IEEE Antennas and Wireless Propagation Letters (AWPL).

📖 Education

• 2024 - Now, Ph.D. in Computer Science, University of Technology Sydney, Sydney, Australia
• 2021.09 - 2024.06, M.Eng. in Information and Communication Engineering, Zhejiang Gongshang University, China.
• 2017.09 - 2021.06, B.Eng. in Computer Science and Technology, Zhejiang Gongshang University, China.

💻 Academic Services

• Conference Volunteer:
  • Australasian Database Conference (ADC) 2025
• Conference Reviewer:
  • ICASSP 2026
• Journal Reviewer:
  • Knowledge-Based Systems (KBS)

📚 Teaching

• Tutor:
  • Database Systems (COMP9311, 2025, 2026, UNSW)

🏆 Honors & Awards

• 2024: Outstanding Graduate of Zhejiang Province.
• 2023: National Scholarship of China.
• 2020: Zhejiang Provincial Government Scholarship.