Shaohua Cao

Orcid: 0000-0001-8287-2942

According to our database1, Shaohua Cao authored at least 36 papers between 2016 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Matching-with-Contracts for the AI-RAN Market: AIGC-as-a-Service for Teleoperation.
CoRR, May, 2026

Eliminate Conflicts and Attacks: Fair and Robust Federated Learning for Anomaly Detection of Charging Stations.
IEEE Trans. Intell. Transp. Syst., March, 2026

CASTER: Breaking the Cost-Performance Barrier in Multi-Agent Orchestration via Context-Aware Strategy for Task Efficient Routing.
CoRR, January, 2026

Learning to Incentivize: LLM-Empowered Contract for AIGC Offloading in Teleoperation.
IEEE Trans. Netw. Sci. Eng., 2026

DDRAM: Dynamic Driving Risk Assessment Method Based on Predictable Multidimensional Kinematic Features.
IEEE Intell. Transp. Syst. Mag., 2026

Towards cost-optimal prompt-based AIGC services deployment in Zero Trust-enabled networks.
Comput. Networks, 2026

KG-AsyncFed:Knowledge-sensitivity and generative replay synergized asynchronous federated continual learning framework.
Comput. Networks, 2026

LLM-Enhanced Contract Design for Edge AIGC Service Provisioning in Teleoperation.
Proceedings of the International Conference on Computing, Networking and Communications, 2026

AI-Driven Personalized Remote Education using Adaptive Semantic Communication.
Proceedings of the International Conference on Computing, Networking and Communications, 2026

2025
Distributionally Robust Contract Theory for Edge AIGC Services in Teleoperation.
IEEE Trans. Mob. Comput., November, 2025

Toward Accurate Federated Graph Learning Via Layer-Wised Clustering for Social Internet of Things.
IEEE Internet Things J., September, 2025

Vision Language Model-Empowered Contract Theory for AIGC Task Allocation in Teleoperation.
IEEE Trans. Mob. Comput., August, 2025

A Reliable Vertical Federated Learning Framework for Traffic State Estimation with Data Selection and Incentive Mechanisms.
CoRR, June, 2025

FedDA: Resource-adaptive federated learning with dual-alignment aggregation optimization for heterogeneous edge devices.
Future Gener. Comput. Syst., 2025

FlyCache: Recommendation-driven edge caching architecture for full life cycle of video streaming.
Digit. Commun. Networks, 2025

A hybrid and efficient Federated Learning for privacy preservation in IoT devices.
Ad Hoc Networks, 2025

IceCache: Recommendation-Based Edge Caching for Life Cycle of Video.
Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

Reliable Traffic State Estimation via Vertical Federated Learning.
Proceedings of the IEEE International Conference on Communications, 2025

Towards Expert Models Deployment Cost Optimization in Edge Computing Networks.
Proceedings of the IEEE International Conference on Communications, 2025

2024
Delay-Aware and Energy-Efficient IoT Task Scheduling Algorithm With Double Blockchain Enabled in Cloud-Fog Collaborative Networks.
IEEE Internet Things J., January, 2024

FedQMIX: Communication-efficient federated learning via multi-agent reinforcement learning.
High Confid. Comput., 2024

Vision Language Model-Empowered Contract Theory for AIGC Task Allocation in Teleoperation.
CoRR, 2024

Towards resources optimization in deploying service function chains with shared protection.
Comput. Networks, 2024

RTIFed: A Reputation based Triple-step Incentive mechanism for energy-aware Federated learning over battery-constricted devices.
Comput. Networks, 2024

Security-Aware Service Function Chaining and Embedding With Asymmetric Dedicated Protection.
IEEE Access, 2024

Deploying Security-Aware Service Function Chains with Asymmetric Dedicated Protection.
Proceedings of the IEEE International Conference on Communications, 2024

2023
Reinforcement learning based tasks offloading in vehicular edge computing networks.
Comput. Networks, October, 2023

Value-aware meta-transfer learning and convolutional mask attention networks for reservoir identification with limited data.
Expert Syst. Appl., August, 2023

User Allocation in NOMA-Based Edge Computing Environment.
Proceedings of the IEEE Global Communications Conference, 2023

Mitigate Gender Bias in Construction: Fusion of Deep Reinforcement Learning-Based Contract Theory and Blockchain.
Proceedings of the IEEE International Conference on Blockchain, 2023

2021
Research on scheduling method based on traffic matrix for IoT security.
Int. J. Netw. Manag., 2021

2020
Research on Design and Application of Mobile Edge Computing Model Based on SDN.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

2018
Evaluation Models for the Nearest Closer Routing Protocol in Wireless Sensor Networks.
IEEE Access, 2018

2017
Analysis of WSN routing protocols for the application of forest fire prevention.
Int. J. High Perform. Syst. Archit., 2017

The Research on the Scheduling Method of Server in Data-Center.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2016
A Study on Application-Towards Bandwidth Guarantee Based on SDN.
Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016


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