Yingya Guo

Orcid: 0000-0002-0619-0904

According to our database1, Yingya Guo authored at least 39 papers between 2014 and 2024.

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

Timeline

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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

Network traffic prediction with Attention-based Spatial-Temporal Graph Network.
Comput. Networks, 2024

2023
Achieving High Availability in Inter-DC WAN Traffic Engineering.
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

Network Traffic Prediction with Attention-based Spatial-Temporal Graph Network.
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

Traffic Engineering in a Shared Inter-DC WAN via Deep Reinforcement Learning.
IEEE Trans. Netw. Sci. Eng., 2022

Multi-view fuzzy clustering of deep random walk and sparse low-rank embedding.
Inf. Sci., 2022

An intensity-enhanced method for handling mobile laser scanning point clouds.
Int. J. Appl. Earth Obs. Geoinformation, 2022

CL-ETC: A Contrastive Learning Method for Encrypted Traffic Classification.
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
Traffic Engineering in Hybrid Software Defined Network via Reinforcement Learning.
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

Routing optimization with path cardinality constraints in a hybrid SDN.
Comput. Commun., 2021

Boundary-Aware graph Markov neural network for semiautomated object segmentation from point clouds.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Boosting bandwidth availability over inter-DC WAN.
Proceedings of the CoNEXT '21: The 17th International Conference on emerging Networking EXperiments and Technologies, Virtual Event, Munich, Germany, December 7, 2021

Traffic Engineering with Segment Routing Considering Probabilistic Failures.
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

Congestion avoidance transmission mechanism based on two-dimensional forwarding.
Future Gener. Comput. Syst., 2020

2019
Joint optimization of tasks placement and routing to minimize Coflow Completion Time.
J. Netw. Comput. Appl., 2019

SOTE: Traffic engineering in hybrid software defined networks.
Comput. Networks, 2019

Traffic Matrix Prediction Based on Deep Learning for Dynamic Traffic Engineering.
Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

2018
Efficient network configuration verification using optimized datalog.
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

Traffic engineering in hybrid SDN networks with multiple traffic matrices.
Comput. Networks, 2017

CEFF: An efficient approach for traffic anomaly detection and classification.
Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017

Joint source selection and transfer optimization for erasure coding storage system.
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

Optimize Routing in Hybrid SDN Network with Changing Traffic.
Proceedings of the 26th International Conference on Computer Communication and Networks, 2017

2016
FDRC - Flow duration time based rate control in data center networks.
Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016

2015
Mining network traffic anomaly based on adjustable piecewise entropy.
Proceedings of the 23rd IEEE International Symposium on Quality of Service, 2015

Incremental deployment for traffic engineering in hybrid SDN network.
Proceedings of the 34th IEEE International Performance Computing and Communications Conference, 2015

Adjustable Piecewise Entropy for network traffic anomaly detection.
Proceedings of the 2015 IEEE Conference on Computer Communications Workshops, 2015

2014
Traffic Engineering in SDN/OSPF Hybrid Network.
Proceedings of the 22nd IEEE International Conference on Network Protocols, 2014


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