A Robust Shape Reconstruction Method for Facial Feature Point Detection. - Shuqiu Tan; Dongyi Chen; Chenggang Guo; Zhiqi Huang 004 (Comput. Intell. Neurosci., 2017)

Extra Facial Landmark Localization via Global Shape Reconstruction. - Shuqiu Tan; Dongyi Chen; Chenggang Guo; Zhiqi Huang 004 (Comput. Intell. Neurosci., 2017)

Two-stage local constrained sparse coding for fine-grained visual categorization. - Lihua Guo; Chenggang Guo; Lei Li; Qinghua Huang; Yanshan Li; Xuelong Li 001 (Sci. China Inf. Sci., 2018)

Learning Local Structured Correlation Filters for Visual Tracking via Spatial Joint Regularization. - Chenggang Guo; Dongyi Chen; Zhiqi Huang 004 (IEEE Access, 2019)

Learning Efficient Stereo Matching Network With Depth Discontinuity Aware Super-Resolution. - Chenggang Guo; Dongyi Chen; Zhiqi Huang 004 (IEEE Access, 2019)

Real-Time Sparse Visual Tracking Using Circulant Reverse Lasso Model. - Chenggang Guo; Dongyi Chen; Zhiqi Huang 004 (IEICE Trans. Inf. Syst., 2019)

End-to-End Stereo Matching Network with Local Adaptive Awareness. - Chenggang Guo; Dongyi Chen; Zhiqi Huang 004 (IVSP, 2020)

SLP-Net: An efficient lightweight network for segmentation of skin lesions. - Bo Yang 054; Hong Peng 001; Chenggang Guo; Xiaohui Luo; Jun Wang 013; Xianzhong Long (CoRR, 2023)

SDDC-Net: A U-shaped deep spiking neural P convolutional network for retinal vessel segmentation. - Bo Yang 054; Lang Qin; Hong Peng 001; Chenggang Guo; Xiaohui Luo; Jun Wang 013 (Digit. Signal Process., 2023)

Recurrent convolutional model based on gated spiking neural P system for stereo matching networks. - Chenggang Guo; Hong Peng 001; Jun Wang 013 (Appl. Intell., 2023)

A reservoir computing model based on nonlinear spiking neural P systems for time series forecasting. - Lifan Long; Chenggang Guo; Xin Xiong; Hong Peng 001; Jun Wang 013 (Appl. Soft Comput., 2024)

Ghost-Stereo: GhostNet-based Cost Volume Enhancement and Aggregation for Stereo Matching Networks. - Xingguang Jiang; Xiaofeng Bian; Chenggang Guo (CoRR, 2024)

SiamMaskAttn: inverted residual attention block fusing multi-scale feature information for multitask visual object tracking networks. - Xiaofeng Bian; Chenggang Guo (Signal Image Video Process., 2024)

SLP-Net:An efficient lightweight network for segmentation of skin lesions. - Bo Yang 054; Ruimei Zhang; Hong Peng 001; Chenggang Guo; Xiaohui Luo; Jun Wang 013; Xianzhong Long (Biomed. Signal Process. Control., 2025)

Guided Depth Map Super-Resolution via Multi-Scale Fusion U-shaped Mamba Network. - Chenggang Guo; Hao Xu; XianMing Wan (CoRR, 2025)