Yingya Guo
Orcid: 0000-0002-0619-0904
According to our database1,
Yingya Guo
authored at least 39 papers
between 2014 and 2024.
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Bibliography
2024
Distributionally Robust Federated Learning for Network Traffic Classification With Noisy Labels.
IEEE Trans. Mob. Comput., May, 2024
MATE: A multi-agent reinforcement learning approach for Traffic Engineering in Hybrid Software Defined Networks.
J. Netw. Comput. Appl., 2024
GROM: A generalized routing optimization method with graph neural network and deep reinforcement learning.
J. Netw. Comput. Appl., 2024
TITE: A transformer-based deep reinforcement learning approach for traffic engineering in hybrid SDN with dynamic traffic.
Future Gener. Comput. Syst., 2024
Comput. Networks, 2024
2023
IEEE/ACM Trans. Netw., December, 2023
Capturing spatial-temporal correlations with Attention based Graph Convolutional Network for network traffic prediction.
J. Netw. Comput. Appl., November, 2023
FEAT: A Federated Approach for Privacy-Preserving Network Traffic Classification in Heterogeneous Environments.
IEEE Internet Things J., January, 2023
Distributed Traffic Engineering in Hybrid Software Defined Networks: A Multi-agent Reinforcement Learning Framework.
CoRR, 2023
Proceedings of the 24th IEEE International Conference on High Performance Switching and Routing, 2023
2022
Improve the Energy Efficiency of Datacenters With the Awareness of Workload Variability.
IEEE Trans. Netw. Serv. Manag., 2022
IEEE Trans. Netw. Sci. Eng., 2022
Inf. Sci., 2022
Int. J. Appl. Earth Obs. Geoinformation, 2022
Proceedings of the IFIP Networking Conference, 2022
A Deep Reinforcement Learning Approach for Deploying SDN Switches in ISP Networks from the Perspective of Traffic Engineering.
Proceedings of the 23rd IEEE International Conference on High Performance Switching and Routing, 2022
2021
J. Netw. Comput. Appl., 2021
An intelligent scheme for big data recovery in Internet of Things based on Multi-Attribute assistance and Extremely randomized trees.
Inf. Sci., 2021
Comput. Commun., 2021
Boundary-Aware graph Markov neural network for semiautomated object segmentation from point clouds.
Int. J. Appl. Earth Obs. Geoinformation, 2021
Proceedings of the CoNEXT '21: The 17th International Conference on emerging Networking EXperiments and Technologies, Virtual Event, Munich, Germany, December 7, 2021
Proceedings of the 17th International Conference on Network and Service Management, 2021
2020
Traffic Engineering in Partially Deployed Segment Routing Over IPv6 Network With Deep Reinforcement Learning.
IEEE/ACM Trans. Netw., 2020
Future Gener. Comput. Syst., 2020
2019
Joint optimization of tasks placement and routing to minimize Coflow Completion Time.
J. Netw. Comput. Appl., 2019
Comput. Networks, 2019
Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019
2018
Proceedings of the IEEE INFOCOM 2018, 2018
2017
More load, more differentiation - Let more flows finish before deadline in data center networks.
Comput. Networks, 2017
Comput. Networks, 2017
Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017
Proceedings of the 36th IEEE International Performance Computing and Communications Conference, 2017
Joint Optimization of Task Placement and Routing in Minimizing Inter-DC Coflow Completion Time.
Proceedings of the 26th International Conference on Computer Communication and Networks, 2017
Proceedings of the 26th International Conference on Computer Communication and Networks, 2017
2016
Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016
2015
Proceedings of the 23rd IEEE International Symposium on Quality of Service, 2015
Proceedings of the 34th IEEE International Performance Computing and Communications Conference, 2015
Proceedings of the 2015 IEEE Conference on Computer Communications Workshops, 2015
2014
Proceedings of the 22nd IEEE International Conference on Network Protocols, 2014