Yizhao Zhu

Orcid: 0009-0005-9948-1004

According to our database1, Yizhao Zhu 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

On csauthors.net:

Bibliography

2026
Synergistic denoising: Dual-correction of semantic control and distribution optimization for sequential recommendation.
Inf. Process. Manag., 2026

2025
Privacy-Enhanced Role-Based Access Control for IoT Systems.
IEEE Internet Things J., July, 2025

GHPPFL: A Privacy Preserving Federated Learning Based on Gradient Compression and Homomorphic Encryption in Consumer App Security.
IEEE Trans. Consumer Electron., May, 2025

PR-OppCL: Privacy-Preserving Reputation-Based Opportunistic Federated Learning in Intelligent Transportation System.
IEEE Trans. Veh. Technol., February, 2025

Leakage Reduced Searchable Symmetric Encryption for Multi-Keyword Queries.
IEEE Trans. Cloud Comput., 2025

Meta-DDA: Meta-learning with diffusion and dual augmentation for few-shot text classification.
Knowl. Based Syst., 2025

Laconic updatable private set intersection.
J. Inf. Secur. Appl., 2025

Intent Contrastive Learning Based on Multi-view Augmentation for Sequential Recommendation.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Efficient Public-Key Searchable Encryption Scheme From PSI With Scalable Proxy Servers.
IEEE Trans. Serv. Comput., 2024

Practical and malicious private set intersection with improved efficiency.
Theor. Comput. Sci., 2024

Using private set intersection to achieve privacy-preserving authorization for IoT systems.
J. Inf. Secur. Appl., 2024

Privacy-Preserving Federated Learning Framework in Response Gaming Systems.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2024

Volume Hiding Conjunctive Searchable Symmetric Encryption over Cloud.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2024


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