Yue Yu

Orcid: 0009-0000-2428-6005

Affiliations:

Beijing University of Posts and Telecommunications, Beijing, China

According to our database¹, Yue Yu authored at least 11 papers between 2023 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding.

[BibT_eX]

[DOI]

CoRR, May, 2026

C<sup>2</sup>-Cite: Contextual-Aware Citation Generation for Attributed Large Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2026

C<sup>2</sup>-Cite: Contextual-Aware Citation Generation for Attributed Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

LightSearcher: Efficient DeepSearch via Experiential Memory.

[BibT_eX]

[DOI]

CoRR, December, 2025

Efficient Multi-task Prompt Tuning for Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., July, 2025

Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

Unifying Graph Neural Networks with a Generalized Optimization Framework.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., November, 2024

GraphLoRA: Empowering LLMs Fine-Tuning via Graph Collaboration of MoE.

[BibT_eX]

[DOI]

CoRR, 2024

Endowing Pre-trained Graph Models with Provable Fairness.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

2023

Data-centric Graph Learning: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Provable Training for Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Yue Yu

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Bibliography

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