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.
π₯ News
- 2026.8: Β ππ one paper was accepted by EMNLP 2026
- 2026.5: Β ππ two papers were accepted by ICML 2026
- 2026.3: Β ππ one paper was accepted by TKDE 2026
- 2026.2: Β ππ one paper was accepted by ICDE 2026
- 2026.1: Β ππ one paper was accepted by ICLR 2026
π Selected Publications
(Full list of publications can be found in Google Scholar.)
* Corresponding author.
Mengting Pan, Fan Li*, Xiaoyang Wang, Wenjie Zhang, and Xuemin Lin
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026
[PDF]
Anchor-guided Hypergraph Condensation with Dual-level Discrimination
Fan Li, Xiaoyang Wang, Chen Chen, and Wenjie Zhang
International Conference on Machine Learning (ICML), 2026
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]
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
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
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
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
Efficient Dynamic Attributed Graph Generation
Fan Li, Xiaoyang Wang*, Dawei Cheng, Ying Zhang, and Xuemin Lin
IEEE International Conference on Data Engineering (ICDE), 2025
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
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
π Preprints
Universal Graph Backdoor Defense: A Feature-based Homophily Perspective
Mengting Pan, Fan Li*, Chen Chen, Xiaoyang Wang
arXiv preprint, 2026
[PDF]
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]
π¬ Open Source Projects
-
DHG-Bench
: 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
π Honors and Awards
- Chinese Government Award for Outstanding Self-financed Students Abroad 2026 (Only 650 worldwide)
- 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
π 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).
π Educations
- 2023.09 - now, Ph.D Candidate, University of New South Wales, Sydney.
- 2019.09 - 2023.06, Undergraduate, Tongji University, Shanghai.