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Yang, S., F. Li, S. Trajanovski, and X. Fu, "Traffic routing in stochastic network function virtualization networks", Journal of Network and Computer Applications, vol. 169, issue 102765, 11/2020.
S
Yang, S., N. He, F. Li, S. Trajanovski, X. Chen, Y. Wang, and X. Fu, "Survivable Task Allocation in Cloud Radio Access Networks with Mobile Edge Computing", IEEE Internet of Things Journal, vol. 8, issue 2, pp. 1095-1108, 01/2021.
R
Yang, S., N. He, F. Li, and X. Fu, Resource Allocation in Network Function Virtualization: Problems, Models and Algorithms, , Singapore, Springer, 2022.
Yang, S., F. Li, S. Trajanovski, and X. Fu, "Recent Advances of Resource Allocation in Network Function Virtualization", IEEE Transactions on Parallel and Distributed Systems, vol. 32, issue 2, pp. 295-314, 02/2021.
M
Xiao, K., S. Yang, F. Li, L. Zhu, X. Chen, and X. Fu, "Making Serverless Not So Cold in Edge Clouds: A Cost-Effective Online Approach", IEEE Transactions on Mobile Computing, pp. https://doi.org/10.1109/tmc.2024.3355118, 01/2024.
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He, N., S. Yang, F. Li, S. Trajanovski, L. Zhu, Y. Wang, and X. Fu, "Leveraging Deep Reinforcement Learning with Attention Mechanism for Virtual Network Function Placement and Routing", IEEE Transactions on Parallel and Distributed Systems, vol. 34, issue 4, pp. 1186-1201, 04/2023.
D
Yang, S., F. Li, R. Yahyapour, and X. Fu, "Delay-Sensitive and Availability-Aware Virtual Network Function Scheduling for NFV", IEEE Transactions on Services Computing, vol. 15, issue 1, pp. 188-201, 01/2022.
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Yang, S., F. Li, M. Shen, X. Chen, X. Fu, and Y. Wang, "Cloudlet Placement and Task Allocation in Mobile Edge Computing", IEEE Internet of Things Journal, vol. 6, issue 3, pp. 5853-5863, 06/2019.
Yang, S., J. Liu, F. Zhang, F. Li, X. Chen, and X. Fu, "Caching-Enabled Computation Offloading in Multi-Region MEC Network via Deep Reinforcement Learning", IEEE Internet of Things Journal, vol. 9, issue 21, pp. 21086 - 21098, 11/2022.
A
He, N., S. Yang, F. Li, S. Trajanovski, F. A. Kuipers, and X. Fu, "A-DDPG: Attention Mechanism-based Deep Reinforcement Learning for NFV", The 29th IEEE/ACM International Symposium on Quality of Service (IWQoS 2021), 06/2021.
Gao, Y., S. Yang, F. Li, and X. Fu, "Adaptive and Efficient Qubit Allocation Using Reinforcement Learning in Quantum Networks", IEEE Network, vol. 36, issue 5, pp. 48-54, 09/2022.