Hongliang Sun

Orcid: 0000-0002-5333-1378

Affiliations:
  • Harbin Institute of Technology (Weihai), School of Computer Science and Technology, Weihai, China


According to our database1, Hongliang Sun authored at least 13 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Enhancing Privacy-Preserving Knowledge Graph Embeddings with Federated Learning for IoT Services.
ACM Trans. Internet Techn., February, 2026

2025
SerFlow: A Multistage Service-Enhanced Mechanism for Workflow Applications in CPSs With End-Edge-Cloud Collaboration.
IEEE Internet Things J., August, 2025

A Federated Social Recommendation Approach with Enhanced Hypergraph Neural Network.
ACM Trans. Intell. Syst. Technol., February, 2025

MSKD: A Knowledge Denoising Framework for Metaverse Service Recommendation.
IEEE Trans. Serv. Comput., 2025

In<sup>3</sup>Edge: Interest-Driven Service Incentive Mechanism Based on Stackelberg Game in Edge-Empowered IIoT.
Proceedings of the IEEE International Conference on Web Services, 2025

Personalized Product Customization Service Based on Fine-Grained and Precise Perception of Supply and Demand.
Proceedings of the IEEE International Conference on Web Services, 2025

SABER: A MAPE-K-based Self-Adaptive Framework for Microservice Bad Smell Refactoring.
Proceedings of the IEEE International Conference on Web Services, 2025

A Weighted Preference Optimization Service Recommendation Method Based on Knowledge Graph and Large Language Model.
Proceedings of the IEEE International Conference on Web Services, 2025

2024
Requirements elicitation and response generation for conversational services.
Appl. Intell., April, 2024

Learning Dynamic Knowledge Graph Embedding in Evolving Service Ecosystems via Meta-Learning.
Proceedings of the IEEE International Conference on Web Services, 2024

Optimization Algorithm for Emission Reduction Schemes Based on Carbon Footprint Prediction.
Proceedings of the Service Science - CCF 17th International Conference, 2024

Plug-and-Play Performance Estimation for LLM Services without Relying on Labeled Data.
Proceedings of the Service-Oriented Computing - 22nd International Conference, 2024

A Federated Graph to Embedding Approach for Knowledge Graph Completion.
Proceedings of the IEEE International Conference on Acoustics, 2024


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