I am currently a third-year Ph.D candidate in the Data and Knowledge Research Group (DKR), School of Computer Science and Engineering, University of New South Wales (UNSW). I am co-supervised by Dr. Xiaoyang Wang, Prof. Wenjie Zhang, and Prof. Xuemin Lin. My research interest includes Graph Mining, Hypergraph Learning, and Data-centric AI.

Prior to that, I obtained my bachelor degree in Data Science and Big Data Technology from Tongji University, China, in 2023. I was a research intern at Fintech Lab in Tongji University, supervised by Prof. Dawei Cheng.

πŸ“’πŸ“’ We present, to our knowledge, the first comprehensive survey of knowledge extraction threats and defenses in LLM agent ecosystems, available on Preprints.org. We hope this survey draws greater attention to the security of knowledge assets and the intellectual property concerns surrounding their extraction and use.

πŸ”₯ News

  • 2026.10: Β Our paper A Survey of Knowledge Extraction Attacks and Defenses in LLM Agent Ecosystems is now available on Preprints.org. πŸš€
  • 2026.8: Β πŸŽ‰πŸŽ‰ one paper was accepted by EMNLP 2026
  • 2026.5: Β πŸŽ‰πŸŽ‰ two papers were accepted by ICML 2026
  • 2026.3: Β πŸŽ‰πŸŽ‰ one paper was accepted by TKDE 2026
  • 2026.2: Β πŸŽ‰πŸŽ‰ one paper was accepted by ICDE 2026

πŸ“ Selected Publications

(Full list of publications can be found in Google Scholar.)

* Corresponding author.

Preprint 2026
Overview of knowledge extraction attacks and defenses in LLM agent ecosystems

A Survey of Knowledge Extraction Attacks and Defenses in LLM Agent Ecosystems

Fan Li, Sijia Xu, Mengting Pan, Chen Chen, Ying Zhang, Wenjie Zhang, and Xiaoyang Wang*

Preprints.org preprint, 2026

[Preprint]

arXiv 2026
Overview of Answer-then-Edit

Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility

Fan Li, Mengting Pan, Sijia Xu, Xiaoyang Wang, Chen Chen, and Wenjie Zhang

arXiv preprint, 2026

[PDF]

EMNLP 2026
Overview of HiTeC

HiTeC: Hierarchical Contrastive Learning on Text-Attributed Hypergraph with Semantic-Aware Augmentation

Mengting Pan, Fan Li*, Xiaoyang Wang, Wenjie Zhang, and Xuemin Lin

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026

[PDF]

ICML 2026
Overview of Anchor-guided Hypergraph Condensation with Dual-level Discrimination

Anchor-guided Hypergraph Condensation with Dual-level Discrimination

Fan Li, Xiaoyang Wang, Chen Chen, and Wenjie Zhang

International Conference on Machine Learning (ICML), 2026

[PDF] [Code]

ICML 2026
Overview of Graph is a Natural Regularization

Graph is a Natural Regularization: Revisiting Vector Quantization for Graph Representation Learning

Zian Zhai, Fan Li*, Xingyu Tan, Xiaoyang Wang, Wenjie Zhang

International Conference on Machine Learning (ICML), 2026

[PDF]

TKDE 2026
Overview of Fairness-aware Hypergraph Self-Supervised Learning

Fairness-aware Hypergraph Self-Supervised Learning with Sampling-efficient Signals

Fan Li, Xiaoyang Wang, Dawei Cheng, Ying Zhang, Wenjie Zhang, and Xuemin Lin

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2026

[PDF] [Code]

ICDE 2026
Overview of CΒ²TC: A Training-Free Framework for Efficient Tabular Data Condensation

CΒ²TC: A Training-Free Framework for Efficient Tabular Data Condensation

Sijia Xu, Fan Li*, Xiaoyang Wang, Zhengyi Yang, Xuemin Lin

IEEE International Conference on Data Engineering (ICDE), 2026

[PDF] [Code]

ICLR 2026
Overview of DHG-Bench

DHG-Bench: A Comprehensive Benchmark for Deep Hypergraph Learning

Fan Li, Xiaoyang Wang, Wenjie Zhang, Ying Zhang, Xuemin Lin

International Conference on Learning Representation (ICLR), 2026

[PDF] [Code]

TKDE 2025
Overview of TCGU

TCGU: Data-centric Graph Unlearning based on Transferable Condensation

Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, and Xuemin Lin

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025

[PDF] [Code]

ICDE 2025
Overview of Efficient Dynamic Attributed Graph Generation

Efficient Dynamic Attributed Graph Generation

Fan Li, Xiaoyang Wang*, Dawei Cheng, Ying Zhang, and Xuemin Lin

IEEE International Conference on Data Engineering (ICDE), 2025

[PDF] [Code]

TKDE 2024
Overview of AdaRisk

AdaRisk: Risk-adaptive Deep Reinforcement Learning for Vulnerable Nodes Detection

Fan Li, Zhiyu Xu, Dawei Cheng*, and Xiaoyang Wang

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024

[PDF] [Code]

IJCAI 2024
Overview of Hypergraph Self-supervised Learning

Hypergraph Self-supervised Learning with Sampling-efficient Signals

Fan Li, Xiaoyang Wang*, Dawei Cheng, Wenjie Zhang, Ying Zhang, and Xuemin Lin

International Joint Conference on Artificial Intelligence (IJCAI), 2024

[PDF] [Code]

πŸ“„ Preprints

arXiv 2026
Overview of Universal Graph Backdoor Defense

Universal Graph Backdoor Defense: A Feature-based Homophily Perspective

Mengting Pan, Fan Li*, Chen Chen, Xiaoyang Wang

arXiv preprint, 2026

[PDF]

πŸ”¬ Open Source Projects

  • DHG-Bench GitHub stars : The first benchmark toolkit for deep hypergraph learning, supporting evaluation of various Hypergraph neural networks (HNNs) in effectiveness, efficiency, robustness, and fairness across diverse datasets and tasks.

    Role: Project Leader and Main Contributor

πŸŽ– Honors and Awards

  • Chinese Government Award for Outstanding Overseas Study Elite (Only 40 recipients in Australia)
  • ICML 2026 Silver Reviewer Award
  • IEEE ICDE 2025 Student Travel Grant (Only 10 recipients worldwide)
  • University International Postgraduate Award (UIPA) granted by University of New South Wales - 2024

πŸ“– Academic Services

Program Committee Member:

  • ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD): 2025, 2026, 2027;
  • International Conference on Learning Representations (ICLR): 2026;
  • International Conference on Machine Learning (ICML): 2026.
  • Conference on Neural Information Processing Systems (NeurIPS): 2026;
  • International Conference on Database Systems for Advanced Applications (DASFAA): 2027.
  • ACM The Web Conference (WWW): 2025;
  • Annual AAAI Conference on Artificial Intelligence (AAAI): 2026, 2027;

Journal Reviewer:

  • ACM Transactions on Knowledge Discovery from Data (TKDD).

  • Knowledge-Based Systems

πŸŽ“ Educations

  • 2023.09 - now, Ph.D Candidate, University of New South Wales, Sydney.
  • 2019.09 - 2023.06, Undergraduate, Tongji University, Shanghai.