Yi Fang

Orcid: 0009-0002-9048-0281

Affiliations:

Virginia Tech, Department of Computer Science, Blacksburg, VA, USA

According to our database¹, Yi Fang authored at least 10 papers between 2024 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

BioArc: Discovering Optimal Neural Architectures for Biological Foundation Models.

[BibT_eX]

[DOI]

CoRR, December, 2025

Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs.

[BibT_eX]

[DOI]

CoRR, November, 2025

MLaGA: Multimodal Large Language and Graph Assistant.

[BibT_eX]

[DOI]

CoRR, June, 2025

UniGLM: Training One Unified Language Model for Text-Attributed Graphs Embedding.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Large Language Models for Disease Diagnosis: A Scoping Review.

[BibT_eX]

[DOI]

CoRR, 2024

UniGLM: Training One Unified Language Model for Text-Attributed Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

GraphFM: A Comprehensive Benchmark for Graph Foundation Model.

[BibT_eX]

[DOI]

CoRR, 2024

GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Yi Fang

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Bibliography

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