Research on Concurrent Assembly in Virtual Environment. - Cheng Cheng; Guangju Li (CAD/Graphics, 2007)

IB-TransUNet: Combining Information Bottleneck and Transformer for Medical Image Segmentation. - Guangju Li; Dehu Jin; Qi Yu; Meng Qi (J. King Saud Univ. Comput. Inf. Sci., 2023)

GMF-GAN: Gradual multi-granularity semantic fusion GAN for text-to-image synthesis. - Dehu Jin; Guangju Li; Qi Yu; Lan Yu; Jia Cui; Meng Qi (Digit. Signal Process., 2023)

Realistic image generation using adversarial generative networks combined with depth information. - Qi Yu; Lan Yu; Guangju Li; Dehu Jin; Meng Qi (Digit. Signal Process., 2023)

Scene text image super-resolution via textual reasoning and multiscale cross-convolution. - Lan Yu; Xiaojie Li; Qi Yu; Guangju Li; Dehu Jin; Meng Qi (Appl. Intell., 2024)

DIM-UNet: Boosting medical image segmentation via diffusion models and information bottleneck theory mixed with MLP. - Guangju Li; Yuanjie Zheng; Jia Cui; Wei Gai; Meng Qi (Biomed. Signal Process. Control., 2024)

SIB-UNet: A dual encoder medical image segmentation model with selective fusion and information bottleneck fusion. - Guangju Li; Meng Qi (Expert Syst. Appl., 2024)

A generic plug & play diffusion-based denosing module for medical image segmentation. - Guangju Li; Dehu Jin; Yuanjie Zheng; Jia Cui; Wei Gai; Meng Qi (Neural Networks, 2024)

Human visual perception-inspired medical image segmentation network with multi-feature compression. - Guangju Li; Qinghua Huang; Wei Wang 181; Longzhong Liu (Artif. Intell. Medicine, 2025)

Skin lesion segmentation by fusing local and global features using axial shift and spatial state model. - Guangju Li; Qinghua Huang; Wei Wang 181; Longzhong Liu (Appl. Soft Comput., 2025)

Selective and multi-scale fusion Mamba for medical image segmentation. - Guangju Li; Qinghua Huang; Wei Wang 181; Longzhong Liu (Expert Syst. Appl., 2025)