Multiple Residual Learning Network for Single Image Super-Resolution. - Renhe Liu; Sumei Li; Chunping Hou; Guoqing Lei (VCIP, 2018)

An End-to-End Multi-Scale Residual Reconstruction Network for Image Compressive Sensing. - Renhe Liu; Sumei Li; Chunping Hou (ICIP, 2019)

Channel Shuffle Reconstruction Network for Image Compressive Sensing. - Wen Li; Sumei Li; Renhe Liu (ICIP, 2020)

Ghost-dil-NetVLAD: A Lightweight Neural Network for Visual Place Recognition. - Qingyuan Gong; Yu Liu 004; Liqiang Zhang 004; Renhe Liu (CoRR, 2021)

A Visible and Infrared Image Fusion Framework Based on Dual-Path Encoder-Decoder and Multi-Scale Discrete Wavelet Transform. - Renhe Liu; Han Wang; Shan Du; Yu Liu (ICIP, 2023)

A Novel Medical Image Fusion Framework Integrating Multi-scale Encoder-Decoder with Discrete Wavelet Decomposition. - Renhe Liu; Yu Liu; Han Wang; Kai Hu; Shan Du (ICASSP, 2024)

Asymmetric Neural Image Compression with High-Preserving Information. - Kai Hu; Yu Liu 004; Fang Xu; Renhe Liu; Han Wang; Shenghui Song 001 (ISCAS, 2024)

MSCFormer: Multi-Scale Circular Transformer for Image Deblurring. - Shuai Wang; Han Wang; Renhe Liu; Zhipeng Wu; Bo Wei; Yu Liu 004 (VCIP, 2024)

Enhancing quality of pose-varied face restoration with local weak feature sensing and GAN prior. - Kai Hu; Yu Liu; Renhe Liu; Wei Lu; Gang Yu 002; Bin Fu (Neural Comput. Appl., 2024)

Sequential Spectral-Spatial Feature Convolution Network With Self-Attention for Remote Sensing Hyperspectral Image Classification. - Jiqing Liu; Han Wang 039; Renhe Liu; Shaochu Wang; Yu Liu 004 (IEEE Trans. Geosci. Remote. Sens., 2025)

F2Fusion: Frequency Feature Fusion Network for Infrared and Visible Image via Contourlet Transform and Mamba-UNet. - Renhe Liu; Han Wang 039; Kai Hu; Shaochu Wang; Yu Liu 004 (IEEE Trans. Instrum. Meas., 2025)