Kongyange Zhao

Sun Yat-sen University — China

Computer Science · Physical Sciences

5h-index144citations19works1.82yr avg
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Research Topics

IoT and Edge/Fog Computing(9), Stochastic Gradient Optimization Techniques(6), Privacy-Preserving Technologies in Data(5), Cloud Computing and Resource Management(4), Image and Video Quality Assessment(2)

Publications19 total

CoEdge-RAG: Optimizing Hierarchical Scheduling for Retrieval-Augmented LLMs in Collaborative Edge Computing
2025
MoEE: Mixture of Edge Experts for Collaborative Inference of Heterogeneous Models Based on Out-of-Distribution Detection
IEEE Transactions on Network Science and Engineering·2025· 1 cited
CoEdge-RAG: Optimizing Hierarchical Scheduling for Retrieval-Augmented LLMs in Collaborative Edge Computing
arXiv (Cornell University)·2025Open Access
Efficient Multitask Asynchronous Federated Learning in Edge Computing: A Two-Layer Optimization Approach
IEEE Internet of Things Journal·2025· 2 cited
Dynamic Edge-Centric Resource Provisioning for Online and Offline Services Co-Location via Reactive and Predictive Approaches
IEEE Transactions on Networking·2025· 3 cited
MicroEdge: An Online Optimization Framework for Cost-Efficient Microservice Orchestration in Edge Native Applications
IEEE Transactions on Mobile Computing·2025
MIX3D: A Mixed Representation for Communication-Efficient Distributed 3DGS Training
2024
Edge-assisted Real-time Dynamic 3D Point Cloud Rendering for Multi-party Mobile Virtual Reality
2024
Efficient Coordination of Federated Learning and Inference Offloading at the Edge: A Proactive Optimization Paradigm
IEEE Transactions on Mobile Computing·2024· 5 cited
Efficient Multi-Task Asynchronous Federated Learning in Edge Computing
2024· 3 cited
Online Resource Provisioning and Batch Scheduling for AIoT Inference Serving in an XPU Edge Cloud
IEEE Transactions on Emerging Topics in Computing·2024· 4 cited
Towards Space Intelligence: Adaptive Scheduling of Satellite-Ground Collaborative Model Inference with Space Edge Computing
2024· 4 cited
Taming Serverless Cold Start of Cloud Model Inference With Edge Computing
IEEE Transactions on Mobile Computing·2023· 23 cited
Cost-Efficient Cloud-Edge Video Analytics with Hybird IaaS and FaaS Resources
2023
QoS-aware Resource Optimization for Hierarchical Cross-Edge Video Analytics
2023· 1 cited
Cost-Efficient Serverless Inference Serving with Joint Batching and Multi-Processing
2023· 5 cited
Dynamic Edge-centric Resource Provisioning for Online and Offline Services Co-location
2023· 13 cited
Edge Resource Autoscaling for Hierarchical Federated Learning Over Public Edge Platforms
2022· 1 cited
EdgeAdaptor: Online Configuration Adaption, Model Selection and Resource Provisioning for Edge DNN Inference Serving at Scale
IEEE Transactions on Mobile Computing·2022· 79 cited

Frequent Co-authors

Xu Chen(16), Zhi Zhou(11), Tao Ouyang(9), Xiaoxi Zhang(5), Guihang Hong(3), Shen Cai(2), Ke Luo(2), Hao Wang(2), Xinyuan Cao(2), Mingliao Zhao(2), Ruiting Zhou(1), Shuai Yu(1), Di Wu(1), Lei Jiao(1), Fei Xu(1), Xu Chen(1), Rongkai Liu(1), Yuting Wu(1), Xiang Gao(1), Xianchen Lin(1)