I am a Ph.D. candidate in Computer Science at the University of Auckland, advised by Dr. Meng-Fen Chiang, Prof. Kaiqi Zhao, and Prof. Sebastian Link.

I received my Master of Science (First Class Honours) degree in Computer Science from the University of Auckland in 2022, supervised by Dr. Meng-Fen Chiang and in collaboration with Assoc. Prof. Wang-Chien Lee of Pennsylvania State University. I completed my Bachelor of Science degree at the University of Auckland in 2019.

My research interests include:

  • Graph representation and reasoning
  • Natural language processing
  • Large language model

📝 Selected Publications

  • ACL 2026 Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts
    Xianda Zheng, Zijian Huang, Meng-Fen Chiang, Jiamou Liu, Yuan Fang, Michael Witbrock, Kaiqi Zhao
    Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics
    [arXiv]
  • WWW 2026 Relation-Aware Multimodal Analogical Reasoning with Modality Fingerprints and Adaptive Gating
    Ruofan Wang, Zijian Huang, Qiqi Wang, Yuchen Su, Robert Amor, Kaiqi Zhao, Meng-Fen Chiang
    The ACM Web Conference 2026
    [Code]
  • EMNLP 2025 A Survey of Pun Generation: Datasets, Evaluations and Methodologies
    Yuchen Su, Yonghua Zhu, Ruofan Wang, Zijian Huang, Diana Benavides-Prado, Michael Witbrock
    Findings of the Association for Computational Linguistics: EMNLP 2025
  • ACL 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 Association for Computational Linguistics: ACL 2024
  • 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
    [Code] [Benchmark]

[Full List] [Google Scholar] [DBLP]

📖 Teaching

  • Lecturer, Algorithms for Massive Data (COMPSCI 753), S2 2025, University of Auckland
  • Teaching Assistant, Algorithms for Massive Data (COMPSCI 753), S2 2024, University of Auckland

🎖 Honors and Awards

  • University of Auckland Doctoral Scholarships, 2023

💻 Professional Services

Conference Reviewer

  • European Conference on Artificial Intelligence (ECAI)
  • Conference on Empirical Methods in Natural Language Processing (EMNLP)

Journal Reviewer

  • ACM Transactions on Information Systems (TOIS)

External Reviewer

  • Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
  • ACM Web Conference (WWW)

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