Yintan Ai

Orcid: 0000-0003-0723-4320

According to our database1, Yintan Ai authored at least 10 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
MoFormer: A centrality-aware multi-task graph transformer with multi-gate mixture-of-experts for link-level network performance modeling.
Future Gener. Comput. Syst., 2026

Refined link-level intent drift forecasting through advanced link performance prediction and path similarity approaches.
Comput. Networks, 2026

2025
A heterogeneous graph neural network assisted multi-agent reinforcement learning for parallel service function chain deployment.
J. King Saud Univ. Comput. Inf. Sci., 2025

Achieving topology generalization without retraining in service function chaining through cooperative multi-agent reinforcement learning.
Comput. Networks, 2025

Intent Fuel Station: A RAG-Enhanced Agent Hub for Realizing Networking Intents.
Proceedings of the 2nd Workshop on Networks for AI Computing, 2025

2024
DPSFC: A Distributed Delay-Aware Approach for Improving Parallelized Service Function Chains Placement.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

SPV: Formal Verification of Stateful Parallel SFC Correctness.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2022
Design and Implementation of SFC Monitoring and Alerting Based on YANG Data Model.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

The Design and Specification of Path Adjustable SFC Using YANG Data Model.
Proceedings of the IEEE Symposium on Computers and Communications, 2022

Integrated Construction of Service Function Chain and Business System Based on Colored Petri Net.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022


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