CTGGAN: A modified generative adversarial network for imbalanced CTG signal classification during labor. - Peilin Mai; Junyuan Feng; Luoyi Li; Qinqun Chen; Guiqing Liu; Hang Wei 001 (BIBM, 2024)

TSGAN: A two-stage interpretable learning method for image cartoonization. - Yongsheng Dong; Luoyi Li; Lintao Zheng (Neurocomputing, 2024)

GAL-GAN: Global styles and local high-frequency learning based generative adversarial network for image cartoonization. - Luoyi Li; Lintao Zheng; Chunlei Yang; Yongsheng Dong (Comput. Electr. Eng., 2025)