Kongyange Zhao

Orcid: 0000-0003-1927-782X

According to our database1, Kongyange Zhao authored at least 11 papers between 2022 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Efficient Coordination of Federated Learning and Inference Offloading at the Edge: A Proactive Optimization Paradigm.
IEEE Trans. Mob. Comput., January, 2025

2024
Taming Serverless Cold Start of Cloud Model Inference With Edge Computing.
IEEE Trans. Mob. Comput., August, 2024

Edge-assisted Real-time Dynamic 3D Point Cloud Rendering for Multi-party Mobile Virtual Reality.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Efficient Multi-Task Asynchronous Federated Learning in Edge Computing.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Towards Space Intelligence: Adaptive Scheduling of Satellite-Ground Collaborative Model Inference with Space Edge Computing.
Proceedings of the IEEE INFOCOM 2024, 2024

2023
EdgeAdaptor: Online Configuration Adaption, Model Selection and Resource Provisioning for Edge DNN Inference Serving at Scale.
IEEE Trans. Mob. Comput., October, 2023

QoS-aware Resource Optimization for Hierarchical Cross-Edge Video Analytics.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Dynamic Edge-centric Resource Provisioning for Online and Offline Services Co-location.
Proceedings of the IEEE INFOCOM 2023, 2023

Cost-Efficient Cloud-Edge Video Analytics with Hybird IaaS and FaaS Resources.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Cost-Efficient Serverless Inference Serving with Joint Batching and Multi-Processing.
Proceedings of the 14th ACM SIGOPS Asia-Pacific Workshop on Systems, 2023

2022
Edge Resource Autoscaling for Hierarchical Federated Learning Over Public Edge Platforms.
Proceedings of the IEEE Smartworld, 2022


  Loading...