The multi-focus image fusion method based on CNN and SR. - Bingzhe Wei; Xiangchu Feng; Kun Wang 027; Bing Gao (ACAI, 2020)

LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform. - Lida Li; Kun Wang 027; Shuai Li 014; Xiangchu Feng; Lei Zhang 006 (ECCV (10), 2020)

The Multi-Focus-Image-Fusion Method Based on Convolutional Neural Network and Sparse Representation. - Bingzhe Wei; Xiangchu Feng; Kun Wang 027; Bian Gao (Entropy, 2021)

Towards Robust 2D Convolution for Reliable Visual Recognition. - Lida Li; Shuai Li 014; Kun Wang 027; Xiangchu Feng; Lei Zhang 006 (CoRR, 2022)

An end-to-end Graph Convolutional Network for Semi-supervised Subspace Clustering via label self-expressiveness. - Tingting Qi; Xiangchu Feng; Bian Gao; Kun Wang 027 (Knowl. Based Syst., 2024)

A variable parameter variational model with application to real image denoising. - Kun Wang 027; Xiangchu Feng; Xixi Jia; Tingting Qi (Signal Process., 2024)

Correction of underwater images via fast centroid method and Wasserstein regularization. - Bian Gao; Xiangchu Feng; Weiwei Wang 005; Kun Wang 027 (Signal Process., 2025)

Underwater image restoration via transmission and Wasserstein distance constraints. - Bian Gao; Xiangchu Feng; Kun Wang 027; Hui Zhu (Inf. Fusion, 2026)