Shiyuan Li

Orcid: 0000-0002-4381-7497

Affiliations:
  • Griffith University, Brisbane, Australia
  • Guangxi University, Nanning, China


According to our database1, Shiyuan Li authored at least 18 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
From Few-Shot to Zero-Shot: Towards Generalist Graph Anomaly Detection.
IEEE Trans. Knowl. Data Eng., July, 2026

FedCIGAR: A Personalized Reconstruction Approach for Federated Graph-level Anomaly Detection.
CoRR, May, 2026

GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent Systems.
CoRR, March, 2026

Towards One-for-All Anomaly Detection for Tabular Data.
CoRR, March, 2026

Beyond a Single Perspective: Text Anomaly Detection with Multi-View Language Representations.
CoRR, January, 2026

LiSA: A linear graph transformer framework with sample aggregation.
Knowl. Based Syst., 2026

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects.
IEEE Intell. Syst., 2026

OFA-MAS: One-for-All Multi-Agent System Topology Design based on Mixture-of-Experts Graph Generative Models.
Proceedings of the ACM Web Conference 2026, 2026

Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Uncertainty-Aware Graph Neural Networks: A Multihop Evidence Fusion Approach.
IEEE Trans. Neural Networks Learn. Syst., October, 2025

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects.
CoRR, July, 2025

Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach.
CoRR, June, 2025

FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024
Bi-SGTAR: A simple yet efficient model for circRNA-disease association prediction based on known association pair only.
Knowl. Based Syst., 2024

ARC: A Generalist Graph Anomaly Detector with In-Context Learning.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2021
An iteration model for identifying essential proteins by combining comprehensive PPI network with biological information.
BMC Bioinform., 2021

2020
An Iteration Method for Identifying Yeast Essential Proteins From Weighted PPI Network Based on Topological and Functional Features of Proteins.
IEEE Access, 2020


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