Spatial-spectral compressive sensing for hyperspectral images super-resolution over learned dictionary. - Wei Huang 013; Zebin Wu 001; Hongyi Liu 001; Liang Xiao 001; Zhihui Wei (IGARSS, 2014)

Adaptive tensor matrix based kernel regression for hyperspectral image denoising. - Hongyi Liu 001; Zhengrong Zhang; Liang Xiao 001; Zhihui Wei (IGARSS, 2014)

Variational Bayesian Method for Retinex. - Liqian Wang; Liang Xiao 001; Hongyi Liu 001; Zhihui Wei (IEEE Trans. Image Process., 2014)

A novel hyperspectral image anomaly detection method based on low rank representation. - Yang Xu 006; Zebin Wu 001; Zhihui Wei; Hongyi Liu 001; Xiong Xu (IGARSS, 2015)

Local brightness adaptive image colour enhancement with Wasserstein distance. - Liqian Wang; Liang Xiao 001; Hongyi Liu 001; Zhihui Wei (IET Image Process., 2015)

A New Pan-Sharpening Method With Deep Neural Networks. - Wei Huang 013; Liang Xiao 001; Zhihui Wei; Hongyi Liu 001; Songze Tang (IEEE Geosci. Remote. Sens. Lett., 2015)

Hyperspectral Imagery Super-Resolution by Compressive Sensing Inspired Dictionary Learning and Spatial-Spectral Regularization. - Wei Huang 013; Liang Xiao 001; Hongyi Liu 001; Zhihui Wei (Sensors, 2015)

Color demosaicking via nonlocal tensor representation. - Lili Huang; Xuan Wu; Wenze Shao; Hongyi Liu 001; Zhihui Wei; Liang Xiao 001 (ICASSP, 2017)

Pan-Sharpening Based on Multilevel Coupled Deep Network. - Wanting Cai; Yang Xu 006; Zebin Wu 001; Hongyi Liu 001; Ling Qian; Zhihui Wei (IGARSS, 2018)

Patch-Based Residual Networks for Compressively Sensed Hyperspectral Images Restruction. - Xiaowei Hu; Yang Xu 006; Zhihui Wei; Hongyi Liu 001; Ling Qian (IGARSS, 2018)

Non-Convex Low-Rank Approximation for Hyperspectral Image Recovery with Weighted Total Varaition Regularization. - Hanyang Li; Peipei Sun; Hongyi Liu 001; Zebin Wu 001; Zhihui Wei (IGARSS, 2018)

Non-Convex Relaxation Low-Rank Tensor Completion for Hyperspectral Image Recovery. - Hanyang Li; Hongyi Liu 001; Jun Zhang 024; Zebin Wu 001; Zhihui Wei (IGARSS, 2019)

Hyperspectral Anomaly Detection Based on Low Rank and Sparse Tensor Decomposition. - Fuhe Qin; Zebin Wu 001; Yang Xu 006; Hongyi Liu 001; Yan Zhang; Zhihui Wei (IGARSS, 2019)

A Spectral Mapping Based Intensity Modulation for Pan-Sharpening. - Xiaofei Zhao; Hongyi Liu 001; Jun Zhang 024; Zebin Wu 001; Zhihui Wei (IGARSS, 2019)

A Distributed and Parallel Method of Change Detection in Remote Sensing Image Based On Fully Connected Conditional Random Field. - Tiantian Zhou; Zebin Wu 001; Jun Liu; Jin Sun 001; Yi Zhang 025; Jiandong Yang; Hongyi Liu 001; Zhihui Wei (IGARSS, 2019)

Hyperspectral Unmixing Via Wavelet Based Autoencoder Network. - Bin Yan; Zebin Wu 001; Hongyi Liu 001; Yang Xu 006; Zhihui Wei (WHISPERS, 2019)

Hyperspectral Image Restoration Based on Low-Rank Recovery With a Local Neighborhood Weighted Spectral-Spatial Total Variation Model. - Hongyi Liu 001; Peipei Sun; Qian Du 001; Zebin Wu 001; Zhihui Wei (IEEE Trans. Geosci. Remote. Sens., 2019)

Multi-GPU Parallel Implementation of Spatial-Spectral Kernel Sparse Representation for Hyperspectral Image Classification. - Weishi Deng; Zebin Wu 001; Haoyang Ma; Qicong Wang; Jin Sun 001; Yang Xu 006; Jiandong Yang; Zhihui Wei; Hongyi Liu 001 (IGARSS, 2020)

Multi-temporal hyperspectral images unmixing by mixed distribution considering smooth variation of abundance. - Youkang Lu; Hongyi Liu 001; Zebin Wu 001; Zhihui Wei (IGARSS, 2020)

Hyperspectral Image Recovery Using Non-Convex Low-Rank Tensor Approximation. - Hongyi Liu 001; Hanyang Li; Zebin Wu 001; Zhihui Wei (Remote. Sens., 2020)

Multi-Scale Anomaly Detection in Hyperspectral Images Based on Sparse and Low Rank Representations. - Wanxin Wu; Zebin Wu 001; Yang Xu 006; Jiandong Yang; Hongyi Liu 001; Zhihui Wei (WHISPERS, 2021)

Multi-Grained Attention Networks for Single Image Super-Resolution. - Huapeng Wu; Zhengxia Zou; Jie Gui; Wen-Jun Zeng; Jieping Ye; Jun Zhang 024; Hongyi Liu 001; Zhihui Wei (IEEE Trans. Circuits Syst. Video Technol., 2021)

Hyperspectral Unmixing with AutoEncoder Network in Wavelet Domain. - Chenyang Zhan; Hongyi Liu 001; Jun Zhang 024 (IGARSS, 2022)

Coupled Tensor Block Term Decomposition with Superpixel-Based Graph Laplacian Regularization for Hyperspectral Super-Resolution. - Hongyi Liu 001; Wen Jiang; Yuchen Zha; Zhihui Wei (Remote. Sens., 2022)

Bayesian Unmixing of Hyperspectral Image Sequence With Composite Priors for Abundance and Endmember Variability. - Hongyi Liu 001; Youkang Lu; Zebin Wu 001; Qian Du 001; Jocelyn Chanussot; Zhihui Wei (IEEE Trans. Geosci. Remote. Sens., 2022)

Bayesian Hyperspectral Image Super-Resolution in the Presence of Spectral Variability. - Fei Ye; Zebin Wu 001; Yang Xu 006; Hongyi Liu 001; Zhihui Wei (IEEE Trans. Geosci. Remote. Sens., 2022)

Hyperspectral image super-resolution based on a Linear and Intimate Mixing Model. - Yuchen Zha; Hongyi Liu 001 (WHISPERS, 2023)

Spectral Variability Bayesian Unmixing for Hyperspectral Sequence in Wavelet Domain. - Hongyi Liu 001; Youkang Lu; Zebin Wu 001; Qian Du 001; Jocelyn Chanussot; Zhihui Wei (IEEE Trans. Geosci. Remote. Sens., 2023)

A regularization perspective based theoretical analysis for adversarial robustness of deep spiking neural networks. - Hui Zhang; Jian Cheng; Jun Zhang 024; Hongyi Liu 001; Zhihui Wei (Neural Networks, 2023)

Two-Stream Autoencoder-Based Hyperspectral Unmixing using Hapke Model. - Ruihua Li; Hongyi Liu 001; Jun Zhang 024; Zhihui Wei (IGARSS, 2024)

Blind Unmixing Using Dispersion Model-Based Autoencoder to Address Spectral Variability. - Haoren Zheng; Zulong Li; Chenyu Sun; Hanqiu Zhang; Hongyi Liu 001; Zhihui Wei (IEEE Trans. Geosci. Remote. Sens., 2024)

Zero-Shot Solving of Imaging Inverse Problems via Noise-Refined Likelihood Guided Diffusion Models. - Zhen Wang; Hongyi Liu 001; Zhihui Wei (CoRR, 2025)