Yishan Chen
Orcid: 0000-0002-7162-9645Affiliations:
- Jiangxi University of Science and Technology, College of Information Engineering, Ganzhou, China
- Zhejiang University, College of Computer Science, Hangzhou, China (PhD 2022)
According to our database1,
Yishan Chen
authored at least 17 papers
between 2019 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
Dynamic client-resource management in federated learning over Internet of Vehicles: A Lyapunov-driven game-theoretic approach.
Future Gener. Comput. Syst., 2026
2025
Decentralized QoS-Aware Model Inference Using Federated Split Learning for Cloud-Edge Medical Detection.
IEEE Trans. Parallel Distributed Syst., October, 2025
Decentralized-Voting-Based Federated Learning Framework for Lightweight Node Selection in Edge Collaborative IoT.
IEEE Internet Things J., June, 2025
Budget-Constrained Resource Allocation and Pricing in VEC: A MSMLMF Stackelberg Game With Contract Incentive Mechanism.
IEEE Internet Things J., March, 2025
Privacy-Preserving Knowledge Distillation in Latency-Critical Federated Task Offloading for Consumer IoT Networks.
IEEE Trans. Consumer Electron., February, 2025
Joint client-server selection and resource allocation based on split federated learning in Edge-to-Cloud computing environments.
Comput. Networks, 2025
2024
Priority-based DAG task offloading and secondary resource allocation in IoT edge computing environments.
Computing, October, 2024
J. Softw. Evol. Process., July, 2024
A Game-Theoretic Approach-Based Task Offloading and Resource Pricing Method for Idle Vehicle Devices Assisted VEC.
IEEE Internet Things J., June, 2024
Blockchain-Based Nash Bargaining for Task Scheduling in IoT Edge Computing Environments.
IEEE Internet Things J., April, 2024
Fast multi-type resource allocation in local-edge-cloud computing for energy-efficient service provision.
Inf. Sci., 2024
Low-latency intelligent service combination caching strategy with density peak clustering algorithm in vehicle edge computing.
Comput. Networks, 2024
2023
IEEE Trans. Mob. Comput., 2023
2021
Proceedings of the 2021 IEEE International Conference on Web Services, 2021
2020
Mob. Networks Appl., 2020
2019
Data-Intensive Application Deployment at Edge: A Deep Reinforcement Learning Approach.
Proceedings of the 2019 IEEE International Conference on Web Services, 2019