ADA-INCVAE: Improved data generation using variational autoencoder for imbalanced classification. - Kai Huang 009; Xiaoguo Wang (Appl. Intell., 2022)

A Fault Detection Method for Railway Turnout with Convex Hull-based One-Class Tensor Machine. - Chen Chen; Haidong Shao; Zhongwei Xu; Kai Huang 009; Qiaochuan Chen; Meng Mei (I2MTC, 2023)

CCR-GSVM: A boundary data generation algorithm for support vector machine in imbalanced majority noise problem. - Kai Huang 009; Xiaoguo Wang (Appl. Intell., 2023)

An electromagnetic leakage signal characterization method for multi-feature selection and fusion. - Xingye You; Xin Huang; Jian Mao; Kai Huang 009; Jinming Liu 003; Jiemin Zhang (EITCE, 2024)

Denoising low SNR electromagnetic conducted emissions using an improved DnCNN based mode. - Xingye You; Jian Mao; Jingming Liu; Kai Huang 009 (J. Intell. Fuzzy Syst., 2024)

Subgraph generation applied in GraphSAGE deal with imbalanced node classification. - Kai Huang 009; Chen Chen (Soft Comput., 2024)

MLAWSMOTE: Oversampling in Imbalanced Multi-label Classification with Missing Labels by Learning Label Correlation Matrix. - Jian Mao; Kai Huang 009; Jinming Liu 003 (Int. J. Comput. Intell. Syst., 2024)

OSPXAI: An Explainable and Quantifiable Deep Learning Method for the Detection and Identification of Serial Radiation Leakage Signals. - Youbin Huang; Jian Mao; Kai Huang 009; Jinming Liu 003; Ni Tang (IEEE Access, 2025)