AMBCR: Low-light image enhancement via attention guided multi-branch construction and Retinex theory. - Miao Li; Dongming Zhou; Rencan Nie; Shidong Xie; Yanyu Liu (IET Image Process., 2021)

X Modality Assisting RGBT Object Tracking. - Zhaisheng Ding; Haiyan Li; Ruichao Hou; Yanyu Liu; Shidong Xie; Dongming Zhou; Jinde Cao (CoRR, 2023)

PSMFF: A progressive series-parallel modality feature filtering framework for infrared and visible image fusion. - Shidong Xie; Haiyan Li; Zhengyu Wang; Dongming Zhou; Zhaisheng Ding; Yanyu Liu (Digit. Signal Process., 2023)

M4FNet: Multimodal medical image fusion network via multi-receptive-field and multi-scale feature integration. - Zhaisheng Ding; Haiyan Li; Yi Guo; Dongming Zhou; Yanyu Liu; Shidong Xie (Comput. Biol. Medicine, 2023)

M4SFWD: A Multi-Faceted synthetic dataset for remote sensing forest wildfires detection. - Guanbo Wang; Haiyan Li; Peng Li; Xun Lang; Yanling Feng; Zhaisehng Ding; Shidong Xie (Expert Syst. Appl., 2024)

RFWNet: A Multiscale Remote Sensing Forest Wildfire Detection Network With Digital Twinning, Adaptive Spatial Aggregation, and Dynamic Sparse Features. - Guanbo Wang; Haiyan Li; Shuhua Ye; Hongzhi Zhao; Hongwei Ding; Shidong Xie (IEEE Trans. Geosci. Remote. Sens., 2024)

Fighting against forest fire: A lightweight real-time detection approach for forest fire based on synthetic images. - Guanbo Wang; Haiyan Li; Qing Xiao; Pengfei Yu; Zhaisheng Ding; Zongshan Wang; Shidong Xie (Expert Syst. Appl., 2025)

SCDFuse: A semantic complementary distillation framework for joint infrared and visible image fusion and denoising. - Shidong Xie; Haiyan Li; Yongsheng Zang; Jinde Cao; Dongming Zhou; Mingchuan Tan; Zhaisheng Ding; Guanbo Wang (Knowl. Based Syst., 2025)

FADSiamNet: feature affinity drift siamese network for RGB-T target tracking. - Haiyan Li; Yonghui Cao; Lei Guo; Quan Chen; Zhaisheng Ding; Shidong Xie (Int. J. Mach. Learn. Cybern., 2025)

X modality assisting RGBT object tracking. - Zhaisheng Ding; Haiyan Li; Ruichao Hou; Yanyu Liu; Shidong Xie (Appl. Intell., 2025)