Yuan Yuan

Orcid: 0000-0002-3976-0870

Affiliations:

Qilu University of Technology, School of Computer Science and Technology, Jinan, China
Shandong University, School of Software, Joint SDU-NTU, Centre for Artificial Intelligence Research (C-FAIR), Jinan, China (PhD 2021)

According to our database¹, Yuan Yuan authored at least 16 papers between 2022 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

Fed-Grow: Federating to Grow Transformers for Resource-Constrained Users Without Model Sharing.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., May, 2026

Unity is Power: Semi-Asynchronous Collaborative Training of Large-Scale Models With Structured Pruning in Resource-Limited Clients.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., March, 2026

Federated Bilevel Learning Against Model Poisoning Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Netw., 2026

DGTF: Cross-Domain Decentralized Graph Learning with Topology-Aware Knowledge Fusion.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Distributed Bilevel Optimization with Dual Pruning for Resource-limited Clients.

[BibT_eX]

[DOI]

CoRR, December, 2025

LIME:Accelerating Collaborative Lossless LLM Inference on Memory-Constrained Edge Devices.

[BibT_eX]

[DOI]

CoRR, December, 2025

PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems.

[BibT_eX]

[DOI]

CoRR, June, 2025

TAMO:Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent With Multi-Modality Observation Data in Cloud-Native Systems.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2025

A Case Study for Ray Tracing Cores: Performance Insights with Breadth-First Search and Triangle Counting in Graphs.

[BibT_eX]

[DOI]

Proc. ACM Meas. Anal. Comput. Syst., 2025

FedMQ+: Towards efficient heterogeneous federated learning with multi-grained quantization.

[BibT_eX]

[DOI]

J. Syst. Archit., 2025

Machine-Learning-Based Performance Prediction for CDN Cache Groups in Meta Computing.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2025

How Distributed Collaboration Influences the Diffusion Model Training? A Theoretical Perspective.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

A Robust Distributed Minimax Learning Method Against Model Poisoning Attacks.

[BibT_eX]

[DOI]

Proceedings of the Computing and Combinatorics, 2025

2024

Backdoor Attack to Giant Model in Fragment-Sharing Federated Learning.

[BibT_eX]

[DOI]

Big Data Min. Anal., 2024

2023

Distributed optimization for intelligent IoT under unstable communication conditions.

[BibT_eX]

[DOI]

Comput. Commun., February, 2023

2022

A Smart Contract-Based Intelligent Traffic Adaptive Signal Control Scheme.

[BibT_eX]

[DOI]

Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

Yuan Yuan

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