Linlin Zhang

Orcid: 0009-0001-6445-3450

Affiliations:
  • Xinjiang University, Ürümqi, China


According to our database1, Linlin Zhang authored at least 13 papers between 2023 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
Exploratory Detection of Unknown Cyber-Attacks via Evolutionary Strategy and Machine Learning.
IEEE Trans. Inf. Forensics Secur., 2026

2025
Unknown Cyber Threat Discovery Empowered by Genetic Evolution Without Prior Knowledge.
IEEE Trans. Inf. Forensics Secur., 2025

ESGC-MDA: Identifying miRNA-Disease Associations Using Enhanced Simple Graph Convolutional Networks.
IEEE Trans. Comput. Biol. Bioinform., 2025

Prediction of High-Altitude Pulmonary Edema Based on Resampling and Ensemble Learning.
Proceedings of the Bioinformatics Research and Applications - 21st International Symposium, 2025

LGFMDA: miRNA-Disease Association Prediction with Local and Global Feature Representation Learning.
Proceedings of the Bioinformatics Research and Applications - 21st International Symposium, 2025

OmiImp: A Cross-Omics Imputation Framework Based on Improved Generative Adversarial Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
ValidCNN: A Large-Scale CNN Predictive Integrity Verification Scheme Based on zk-SNARK.
IEEE Trans. Dependable Secur. Comput., 2024

psvCNN: A Zero-Knowledge CNN Prediction Integrity Verification Strategy.
IEEE Trans. Cloud Comput., 2024

VeriCNN: Integrity verification of large-scale CNN training process based on zk-SNARK.
Expert Syst. Appl., 2024

Cross-Attention Transformer for User-Level Depression Detection.
Proceedings of the International Conference on Computing, 2024

2023
Validating the integrity of Convolutional Neural Network predictions based on zero-knowledge proof.
Inf. Sci., May, 2023

Comprehensive Android Malware Detection Based on Federated Learning Architecture.
IEEE Trans. Inf. Forensics Secur., 2023

Identifying miRNA-Disease Associations Based on Simple Graph Convolution with DropMessage and Jumping Knowledge.
Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023


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