Yaqiang Zhang

Orcid: 0000-0001-9935-0606

According to our database¹, Yaqiang Zhang authored at least 19 papers between 2017 and 2025.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2025

Asymptotically Optimal Repair of Reed-Solomon Codes with Small Sub-Packetization under Rack-Aware Model.

[BibT_eX]

[DOI]

CoRR, July, 2025

Are GNNs Effective for Multimodal Fault Diagnosis in Microservice Systems?

[BibT_eX]

[DOI]

Fei Gao

Ruyue Xin

Yaqiang Zhang

CoRR, January, 2025

Are GNNs Actually Effective for Multimodal Fault Diagnosis in Microservice Systems?

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Web Services, 2025

2023

Multi-agent deep reinforcement learning for online request scheduling in edge cooperation networks.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., April, 2023

Safety Stock Forecasting based on Materials Correlation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023

2022

Online Decentralized Task Allocation Optimization for Edge Collaborative Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computers and Communications, 2022

Deep Reinforcement Learning based Mobility-Aware Service Migration for Multi-access Edge Computing Environment.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computers and Communications, 2022

Deep Reinforcement Learning with Noisy Exploration for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the ICMLSC 2022: The 6th International Conference on Machine Learning and Soft Computing, Haikou, China, January 15, 2022

2021

Deep Reinforcement Learning for DAG-based Concurrent Requests Scheduling in Edge Networks.

[BibT_eX]

[DOI]

Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

A Request Scheduling Optimization Mechanism Based on Deep Q-Learning in Edge Computing Environments.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021

2020

Online Scheduling Optimization for DAG-Based Requests Through Reinforcement Learning in Collaboration Edge Networks.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

QoE-Constrained Concurrent Request Optimization Through Collaboration of Edge Servers.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2019

Accurate Boundary Detection and Refinement for Continuous Objects in IoT Sensing Networks.

[BibT_eX]

[DOI]

IEEE Commun. Mag., 2019

Content-aware Deep Perceptual Image Compression.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

2018

Boundary Region Detection for Continuous Objects in Wireless Sensor Networks.

[BibT_eX]

[DOI]

Wirel. Commun. Mob. Comput., 2018

Crossing Scientific Workflow Fragments Discovery Through Activity Abstraction in Smart Campus.

[BibT_eX]

[DOI]

IEEE Access, 2018

A Mechanism for Continuous Object Boundary Region Detection and Prediction in Hybrid WSN.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International Symposium on Industrial Electronics, 2018

2017

Graph-Based Mechanism for Scheduling Mobile Sensors in Time-Sensitive WSNs Applications.

[BibT_eX]

[DOI]

IEEE Access, 2017

A Genetic Algorithm Based Mechanism for Scheduling Mobile Sensors in Hybrid WSNs Applications.

[BibT_eX]

[DOI]

Proceedings of the Wireless Algorithms, Systems, and Applications, 2017

Yaqiang Zhang

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