深度学习

少样本图像分类

部分学术成果

[1]    Li Liang, Jin Weidong, Huang Yingkun. Few-shot contrastive learning for image classification and its application to insulator identification [J]. Applied Intelligence, 2022, 52: 6148-6163.

[2]    Li Liang, Jin Weidong, Huang Yingkun, Ren Junxiao. Enhancing the generalization performance of few-shot image classification with self-knowledge distillation [J]. Studies in Informatics and Control, 2022, 31(2): 71-80.

[3]    Li Liang, Jin Weidong, Huang Yingkun, Muhammad Bilal Shahid. Insulator OOD state identification algorithm based on distribution calibration with smooth classification boundaries [J]. Signal, Image and Video Processing, 2023, 17(7): 3637-3645.

[4]    Huang Yingkun, Jin Weidong, Li Liang. A new wavelet shrinkage approach for denoising nonlinear time series and improving bearing fault diagnosis[J]. IEEE Sensors Journal, 2022, 22(6): 5952-5961.

[5]    Li Liang, Jin Weidong, Huang Yingkun. An improved Few-Shot Learning for insulator classification in railway 2C system[C]//Proceedings of the 39th Chinese Control Conference, Shenyang, China, 2020: 7073-7078.

[6]    Li Liang, Jin Weidong, Ren Junxiao, Huang Yingkun and Yan Kang. Few-shot image classification with improved similarity relationships in self-knowledge distillation [C]//Proceedings of the 41th Chinese Control Conference, Hefei, China, 2022: 7053-7058.