I am currently a 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 now under the joint supervision of Dr. Xiaoyang Wang 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
- 2025.8: Β ππ one paper was accepted by CIKM 2025
- 2025.4: Β ππ one paper was accepted by IJCAI 2025
- 2024.11: Β ππ one paper was accepted by ICDE 2025
- 2024.05: Β ππ one paper was accepted by TKDE 2024
- 2024.04: Β ππ one paper was accepted by IJCAI 2024
π Publications
-
Xijuan Liu, Yin Chen, Fan Li, Xiaoyang Wang, Haiyang Hu and Ying Zhang Subgraph Similarity Computation via Masked Graph Distance Network. International Conference on Information and Knowledge Management (CIKM), 2025 [pdf] [code]
-
Fan Li, Guoxuan Wang, Huiyu Chu, Dawei Cheng*, and Xiaoyang Wang. PCAN: A Pandemic-Compatible Attentive Neural Network for Retail Sales Forecasting. International Joint Conference on Artificial Intelligence (IJCAI), 2025 [pdf] [code]
-
Fan Li, Xiaoyang Wang*, Dawei Cheng, Ying Zhang, and Xuemin Lin. Efficient Dynamic Attributed Graph Generation. IEEE Interational Conference on Data Engineering (ICDE), 2025 [pdf] [code]
-
Fan Li, Zhiyu Xu, Dawei Cheng*, and Xiaoyang Wang. AdaRisk: Risk-adaptive Deep Reinforcement Learning for Vulnerable Nodes Detection. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024 [pdf] [code]
-
Fan Li, Xiaoyang Wang*, Dawei Cheng, Wenjie Zhang, Ying Zhang, and Xuemin Lin. Hypergraph Self-supervised Learning with Sampling-efficient Signals. International Joint Conference on Artificial Intelligence (IJCAI), 2024 [pdf] [code]
-
Jiacheng Ma, Fan Li, Dawei Cheng* et al. Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network. International Joint Conference on Artificial Intelligence (IJCAI), 2023 [pdf]
π Preprints
-
Fan Li, Xiaoyang Wang, Wenjie Zhang, Ying Zhang, Xuemin Lin. DHG-Bench: A Comprehensive Benchmark on Deep Hypergraph Learning. arXiv preprint, 2025 [pdf] [code]
-
Zian Zhai, Fan Li, Xingyu Tan, Xiaoyang Wang, Wenjie Zhang. Graph is a Natural Regularization: Revisiting Vector Quantization for Graph Representation Learning. arXiv preprint, 2025 [pdf] [code]
-
Mengting Pan, Fan Li*, Xiaoyang Wang, Wenjie Zhang, and Xuemin Lin. HiTeC: Hierarchical Contrastive Learning on Text-Attributed Hypergraph with Semantic-Aware Augmentation. arXiv preprint, 2025 [pdf] [code]
-
Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, and Xuemin Lin. TCGU: Data-centric Graph Unlearning based on Transferable Condensation. arXiv preprint, 2024 [pdf] [code]
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
- 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: AAAI2026
- Conference Reviewer: WWW2025, KDD2025
π Educations
- 2023.09 - now, Ph.D Candidate, University of New South Wales, Sydney.
- 2019.09 - 2023.06, Undergraduate, Tongji University, Shanghai.