Kai Huang

Orcid: 0000-0003-0416-4515

Affiliations:
  • Jimei University, College of Computer Engineering, Xiamen, China
  • Tongji University, College of Electronic and Information Engineering, Shanghai, China


According to our database1, Kai Huang authored at least 12 papers between 2022 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
AEM-Net: A non-cooperative electromagnetic leakage signal recognition network based on composite multi-domain features.
Phys. Commun., 2026

GraphZOOM: subgraph black-box attack against inductive graph neural networks.
Complex Intell. Syst., 2026

2025
OSPXAI: An Explainable and Quantifiable Deep Learning Method for the Detection and Identification of Serial Radiation Leakage Signals.
IEEE Access, 2025

2024
MLAWSMOTE: Oversampling in Imbalanced Multi-label Classification with Missing Labels by Learning Label Correlation Matrix.
Int. J. Comput. Intell. Syst., December, 2024

Subgraph generation applied in GraphSAGE deal with imbalanced node classification.
Soft Comput., September, 2024

Denoising low SNR electromagnetic conducted emissions using an improved DnCNN based mode.
J. Intell. Fuzzy Syst., February, 2024

An oversampling algorithm of multi-label data based on cluster-specific samples and fuzzy rough set theory.
Complex Intell. Syst., 2024

Dual-student knowledge distillation for visual anomaly detection.
Complex Intell. Syst., 2024

An electromagnetic leakage signal characterization method for multi-feature selection and fusion.
Proceedings of the 2024 8th International Conference on Electronic Information Technology and Computer Engineering, 2024

2023
CCR-GSVM: A boundary data generation algorithm for support vector machine in imbalanced majority noise problem.
Appl. Intell., 2023

A Fault Detection Method for Railway Turnout with Convex Hull-based One-Class Tensor Machine.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

2022
ADA-INCVAE: Improved data generation using variational autoencoder for imbalanced classification.
Appl. Intell., 2022


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