Yuecen Wei

Orcid: 0000-0002-0218-948X

According to our database1, Yuecen Wei authored at least 17 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Towards Geometry-Consistent Federated Graph Learning.
Proceedings of the ACM Web Conference 2026, 2026

Mitigating Privacy Risks in Graph Condensation from a Hyperbolic Geometry Perspective.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

RPGen: Robust and Differentially Private Synthetic Image Generation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning.
CoRR, July, 2025

An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Prompt-based Unifying Inference Attack on Graph Neural Networks.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
CausalFD: causal invariance-based fraud detection against camouflaged preference.
Int. J. Mach. Learn. Cybern., November, 2024

Hyperbolic Geometric Latent Diffusion Model for Graph Generation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adaptive Differentially Private Structural Entropy Minimization for Unsupervised Social Event Detection.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Heterogeneous graph neural network with semantic-aware differential privacy guarantees.
Knowl. Inf. Syst., October, 2023

Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification.
Proceedings of the ACM Web Conference 2023, 2023

Dynamic Social Recommendation with High-Matching Inhomogeneous Relations.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2022


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