Yintan Ai
Orcid: 0000-0003-0723-4320
According to our database1,
Yintan Ai authored at least 10 papers
between 2022 and 2026.
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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
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
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024
2022
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022
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