I am a Ph.D. candidate at the School of Computer Science, University of Auckland. I received a Master of Science degree in Computer Science (First Class) from the University of Auckland in 2022. During my Master’s studies, I researched complex logical query reasoning over hierarchical knowledge graphs, supervised by Meng-Fen Chiang, and collaborated with Wang-Chien Lee from Penn State University.

My research interests include:

• Knowledge graph representation learning
• Complex logical query answering
• LLM-augmented knowledge graphs

📝 Publications

KDD 2022

LinE: Logical Query Reasoning over Hierarchical Knowledge Graph

Zijian Huang, Meng-Fen Chiang, Wang-Chien Lee.

The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Project

• WN18RR Hierarchical KG benchmark

• ACL Findings 2024 SKGSum: Structured Knowledge-Guiding Document Summarization
  Qiqi Wang, Ruofan Wang, Kaiqi Zhao, Robert Amor, Benjamin Liu, Jiamou Liu, Xianda Zheng, Zijian Huang.
  Findings of The 62nd Annual Meeting of the Association for Computational Linguistics
• ECAI 2023 Towards Legal Judgment Summarization: A Structure-Enhanced Approach
  Qiqi Wang, Ruofan Wang, Kaiqi Zhao, Robert Amor, Benjamin Liu, Xianda Zheng, Zeyu Zhang, Zijian Huang.
  The 26th European Conference on Artificial Intelligence

🎓 Educations

• Ph.D. candidate in Computer Science, The University of Auckland, New Zealand, 2023 - Now
  (Supervised by Meng-Fen Chiang, Kaiqi Zhao and Sebastian Link)
• M.Sc. (First Class Honours) in Computer Science, The University of Auckland, New Zealand, 2021 - 2022
  (Supervised by Meng-Fen Chiang)
• B.Sc. in Computer Science, The University of Auckland, New Zealand, 2016 - 2019

💼 Work Experience

• Intern, Guangzhou Urban Planning & Design Survey Research Institute, China, 2022.03 - 2022.08

📖 Teaching

• Algorithms for Massive Data (COMPSCI 753), Teaching Assistant, S2 2024, The University of Auckland

🎖 Honors and Awards

• University of Auckland Doctoral Scholarships, 2023

💻 Professional Services

• Program Committee Member: ECAI 2023, EMNLP 2023
• Journal Reviewer: TOIS
• External Reviewer: PAKDD 2022, WWW 2025