Hao Yu
Orcid: 0000-0001-9044-4841Affiliations:
- National University of Defense Technology, College of Computer Science and Technology, Changsha, China
According to our database1,
Hao Yu authored at least 26 papers
between 2020 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
Tensor Multi-Rank Constraint Guided Anchor-Wise Adaptive Alignment for Multi-View Clustering.
IEEE Trans. Knowl. Data Eng., March, 2026
A Wolf in Sheep's Clothing: Unveiling a Stealthy Backdoor Attack in Subgraph Federated Learning.
IEEE Trans. Inf. Forensics Secur., 2026
G<sup>2</sup>uardFL: Safeguarding Federated Learning Against Backdoor Attacks via Attributed Client Graph Clustering.
IEEE Trans. Inf. Forensics Secur., 2026
IEEE Trans. Inf. Forensics Secur., 2026
Constructive Noise Defeats Adversarial Noise: Adversarial Example Detection for Commercial DNN Services.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026
TVChain: Leveraging Textual-Visual Prompt Chains for Jailbreaking Large Vision-Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
Make Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
IEEE Trans. Neural Networks Learn. Syst., October, 2025
IEEE Trans. Neural Networks Learn. Syst., August, 2025
GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization.
IEEE Trans. Knowl. Data Eng., January, 2025
DShield: Defending against Backdoor Attacks on Graph Neural Networks via Discrepancy Learning.
Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Proceedings of the Forty-second International Conference on Machine Learning, 2025
2024
FedEAN: Entity-Aware Adversarial Negative Sampling for Federated Knowledge Graph Reasoning.
IEEE Trans. Knowl. Data Eng., December, 2024
scEGG: an exogenous gene-guided clustering method for single-cell transcriptomic data.
Briefings Bioinform., November, 2024
IEEE Trans. Fuzzy Syst., August, 2024
Spatial-Spectral Graph Contrastive Clustering With Hard Sample Mining for Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2024
IEEE Trans. Dependable Secur. Comput., 2024
Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
G<sup>2</sup>uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering.
CoRR, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
2021
Effective and Robust Physical-World Attacks on Deep Learning Face Recognition Systems.
IEEE Trans. Inf. Forensics Secur., 2021
Threat Prediction of Abnormal Transaction Behavior Based on Graph Convolutional Network in Blockchain Digital Currency.
Proceedings of the Blockchain and Trustworthy Systems - Third International Conference, 2021
Proceedings of the Blockchain and Trustworthy Systems - Third International Conference, 2021
2020
Proceedings of the Cyber Security - 17th China Annual Conference, 2020