Fan Li

Orcid: 0009-0004-2951-2226

Affiliations:

University of New South Wales, School of Computer Science and Engineering, Sydney, NSW, Australia

According to our database¹, Fan Li authored at least 13 papers between 2023 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Fairness-Aware Hypergraph Self-Supervised Learning With Sampling-Efficient Signals.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., June, 2026

TCGU: Data-Centric Graph Unlearning Based on Transferable Condensation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., February, 2026

C<sup>2</sup>TC: A Training-Free Framework for Efficient Tabular Data Condensation.

[BibT_eX]

[DOI]

CoRR, February, 2026

2025

DHG-Bench: A Comprehensive Benchmark on Deep Hypergraph Learning.

[BibT_eX]

[DOI]

CoRR, August, 2025

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

[BibT_eX]

[DOI]

CoRR, August, 2025

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

[BibT_eX]

[DOI]

CoRR, August, 2025

PCAN: A Pandemic-Compatible Attentive Neural Network for Retail Sales Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Efficient Dynamic Attributed Graph Generation.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Masked Graph Distance Network for Accurate Subgraph Similarity Computation.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

AdaRisk: Risk-Adaptive Deep Reinforcement Learning for Vulnerable Nodes Detection.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2024

TCGU: Data-centric Graph Unlearning based on Transferable Condensation.

[BibT_eX]

[DOI]

CoRR, 2024

Hypergraph Self-supervised Learning with Sampling-efficient Signals.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Fan Li

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Bibliography

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