An improved Expectation Maximization algorithm for hyperspectral image classification. - Lina Zhuang; Lianru Gao; Li Ni; Bing Zhang 001 (WHISPERS, 2013)

PSO-EM: A Hyperspectral Unmixing Algorithm Based On Normal Compositional Model. - Bing Zhang 001; Lina Zhuang; Lianru Gao; Wenfei Luo; Qiong Ran; Qian Du 001 (IEEE Trans. Geosci. Remote. Sens., 2014)

Swarm intelligence: A reliable solution for extracting endmembers from hyperspectral imagery. - Bing Zhang 001; Lianru Gao; Xu Sun 005; Lina Zhuang (WHISPERS, 2015)

Multiple Algorithm Integration Based on Ant Colony Optimization for Endmember Extraction From Hyperspectral Imagery. - Lianru Gao; Jianwei Gao; Jun Li 009; Antonio Plaza; Lina Zhuang; Xu Sun 005; Bing Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Normal Endmember Spectral Unmixing Method for Hyperspectral Imagery. - Lina Zhuang; Bing Zhang 001; Lianru Gao; Jun Li 009; Antonio Plaza (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Fast Hyperspectral image Denoising based on low rank and sparse representations. - Lina Zhuang; José M. Bioucas-Dias (IGARSS, 2016)

Region-Based Estimate of Endmember Variances for Hyperspectral Image Unmixing. - Lianru Gao; Lina Zhuang; Bing Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2016)

A quantitative and comparative analysis of different preprocessing implementations of DPSO: a robust endmember extraction algorithm. - Lianru Gao; Lina Zhuang; Yuanfeng Wu; Xu Sun 005; Bing Zhang 001 (Soft Comput., 2016)

Class-Adapted Blind Deblurring of Document Images. - Marina Ljubenovic; Lina Zhuang; Mário A. T. Figueiredo (ICDAR, 2017)

Hyperspectral image denoising based on global and non-local low-rank factorizations. - Lina Zhuang; José M. Bioucas-Dias (ICIP, 2017)

Hyperspectral image inpainting based on low-rank representation: A case study on Tiangong-1 data. - Dan Yao; Lina Zhuang; Lianru Gao; Bing Zhang 001; José M. Bioucas-Dias (IGARSS, 2017)

A New Low-Rank Representation Based Hyperspectral Image Denoising Method for Mineral Mapping. - Lianru Gao; Dan Yao; Qingting Li; Lina Zhuang; Bing Zhang 001; José M. Bioucas-Dias (Remote. Sens., 2017)

Adaptive Hyperspectral Mixed Noise Removal. - Tai-Xiang Jiang; Lina Zhuang; Ting-Zhu Huang; José M. Bioucas-Dias (IGARSS, 2018)

Hy-Demosaicing: Hyperspectral Blind Reconstruction from Spectral Subsampling. - Lina Zhuang; José M. Bioucas-Dias (IGARSS, 2018)

Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations. - Lina Zhuang; José M. Bioucas-Dias (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Regularization Parameter Selection in Minimum Volume Hyperspectral Unmixing. - Lina Zhuang; Chia-Hsiang Lin; Mário A. T. Figueiredo; José M. Bioucas-Dias (IEEE Trans. Geosci. Remote. Sens., 2019)

Cross-track Illumination Correction For Hyperspectral Pushbroom Sensors Using Total Variation and Sparsity Regularization. - Lina Zhuang; Michael K. Ng 001 (SAM, 2020)

Combining t-Distributed Stochastic Neighbor Embedding With Convolutional Neural Networks for Hyperspectral Image Classification. - Lianru Gao; Daixin Gu; Lina Zhuang; Jinchang Ren; Dong Yang; Bing Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2020)

Hyperspectral Nonlinear Unmixing by Using Plug-and-Play Prior for Abundance Maps. - Zhicheng Wang; Lina Zhuang; Lianru Gao; Andrea Marinoni; Bing Zhang 001; Michael K. Ng 001 (Remote. Sens., 2020)

Hyperspectral Mixed Noise Removal By $ ell _1$-Norm-Based Subspace Representation. - Lina Zhuang; Michael K. Ng 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Global Spatial and Local Spectral Similarity-Based Manifold Learning Group Sparse Representation for Hyperspectral Imagery Classification. - Haoyang Yu 001; Lianru Gao; Wenzhi Liao; Bing Zhang 001; Lina Zhuang; Meiping Song; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2020)

Joint Deblurring and Denoising of THz Time-Domain Images. - Marina Ljubenovic; Lina Zhuang; Jan De Beenhouwer; Jan Sijbers (IEEE Access, 2021)

Hyperspectral Image Mixed Noise Removal Using Subspace Representation and Deep CNN Image Prior. - Lina Zhuang; Michael K. Ng 001; Xiyou Fu (Remote. Sens., 2021)

Hyperspectral Anomaly Detection via Deep Plug-and-Play Denoising CNN Regularization. - Xiyou Fu; Sen Jia 001; Lina Zhuang; Meng Xu 002; Jun Zhou 001; Qingquan Li 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

A Tensor Subspace Representation-Based Method for Hyperspectral Image Denoising. - Jie Lin; Ting-Zhu Huang; Xi-Le Zhao; Tai-Xiang Jiang; Lina Zhuang (IEEE Trans. Geosci. Remote. Sens., 2021)

Hyperspectral Image Denoising Based on Global and Nonlocal Low-Rank Factorizations. - Lina Zhuang; Xiyou Fu; Michael K. Ng 001; José M. Bioucas-Dias (IEEE Trans. Geosci. Remote. Sens., 2021)

Hyperspectral Image Stripe Detection and Correction Using Gabor Filters and Subspace Representation. - Bing Zhang 001; Yashinov Aziz; Zhicheng Wang; Lina Zhuang; Michael K. Ng 001; Lianru Gao (IEEE Geosci. Remote. Sens. Lett., 2022)

A Region-Based Feature Fusion Network for VHR Image Change Detection. - Pan Chen; Cong Li; Bing Zhang 001; Zhengchao Chen; Xuan Yang; Kaixuan Lu; Lina Zhuang (Remote. Sens., 2022)

Spatial Sampling and Grouping Information Entropy Strategy Based on Kernel Fuzzy C-Means Clustering Method for Hyperspectral Band Selection. - Zhou Zhang 015; Degang Wang; Xu Sun 005; Lina Zhuang; Rong Liu; Li Ni (Remote. Sens., 2022)

Using Low-Rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing. - Lianru Gao; Zhicheng Wang; Lina Zhuang; Haoyang Yu 001; Bing Zhang 001; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2022)

Adaptive Hyperspectral Mixed Noise Removal. - Tai-Xiang Jiang; Lina Zhuang; Ting-Zhu Huang; Xi-Le Zhao; José M. Bioucas-Dias (IEEE Trans. Geosci. Remote. Sens., 2022)

Nonlocal Self-Similarity-Based Hyperspectral Remote Sensing Image Denoising With 3-D Convolutional Neural Network. - Zhicheng Wang; Michael K. Ng 001; Lina Zhuang; Lianru Gao; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Hyperspectral Image Denoising and Anomaly Detection Based on Low-Rank and Sparse Representations. - Lina Zhuang; Lianru Gao; Bing Zhang 001; Xiyou Fu; José M. Bioucas-Dias (IEEE Trans. Geosci. Remote. Sens., 2022)

Hy-Demosaicing: Hyperspectral Blind Reconstruction From Spectral Subsampling. - Lina Zhuang; Michael K. Ng 001; Xiyou Fu; José M. Bioucas-Dias (IEEE Trans. Geosci. Remote. Sens., 2022)

Anomaly Detection Based on Tree Topology for Hyperspectral Images. - Xiaotong Sun; Bing Zhang 001; Lina Zhuang; Hongmin Gao 001; Xu Sun 005; Li Ni (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Hyperspectral Anomaly Detection Based on Chessboard Topology. - Lianru Gao; Xiaotong Sun; Xu Sun 005; Lina Zhuang; Qian Du 001; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

BS3LNet: A New Blind-Spot Self-Supervised Learning Network for Hyperspectral Anomaly Detection. - Lianru Gao; Degang Wang; Lina Zhuang; Xu Sun 005; Min Huang; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2023)

Information Retrieval With Chessboard-Shaped Topology for Hyperspectral Target Detection. - Xiaotong Sun; Lina Zhuang; Lianru Gao; Hongmin Gao 001; Xu Sun 005; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

A Self-Supervised Deep Denoiser for Hyperspectral and Multispectral Image Fusion. - Zhicheng Wang; Michael K. Ng 001; Joseph Michalski; Lina Zhuang (IEEE Trans. Geosci. Remote. Sens., 2023)

PDBSNet: Pixel-Shuffle Downsampling Blind-Spot Reconstruction Network for Hyperspectral Anomaly Detection. - Degang Wang; Lina Zhuang; Lianru Gao; Xu Sun 005; Min Huang; Antonio J. Plaza (IEEE Trans. Geosci. Remote. Sens., 2023)

BockNet: Blind-Block Reconstruction Network With a Guard Window for Hyperspectral Anomaly Detection. - Degang Wang; Lina Zhuang; Lianru Gao; Xu Sun 005; Min Huang; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2023)

FFN: Fountain Fusion Net for Arbitrary-Oriented Object Detection. - Tianwei Zhang 005; Xu Sun 005; Lina Zhuang; Xiaoyu Dong; Lianru Gao; Bing Zhang 001; Ke Zheng (IEEE Trans. Geosci. Remote. Sens., 2023)

Cross-Track Illumination Correction for Hyperspectral Pushbroom Sensor Images Using Low-Rank and Sparse Representations. - Lina Zhuang; Michael K. Ng 001; Yao Liu 012 (IEEE Trans. Geosci. Remote. Sens., 2023)

Plug-and-Play Priors for Multi-Shot Compressive Hyperspectral Imaging. - Ting Xie; Licheng Liu; Lina Zhuang (IEEE Trans. Image Process., 2023)

FastHyMix: Fast and Parameter-Free Hyperspectral Image Mixed Noise Removal. - Lina Zhuang; Michael K. Ng 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

AFRE-Net: Adaptive Feature Representation Enhancement for Arbitrary Oriented Object Detection. - Tianwei Zhang 005; Xu Sun 005; Lina Zhuang; Xiaoyu Dong; Jianjun Sha; Bing Zhang 001; Ke Zheng (Remote. Sens., 2023)

Tiny Object Detection Enhancement for Large-Scale Remote Sensing Imagery. - Tianwei Zhang 005; Lianru Gao; Xu Sun 005; Lina Zhuang (APSIPA, 2024)

Information Entropy Estimation Based on Point-Set Topology for Hyperspectral Anomaly Detection. - Xiaotong Sun; Lina Zhuang; Lianru Gao; Hongmin Gao 001; Xu Sun 005; Yi Liu; Yao Liu 012; Bing Zhang 001 (IGARSS, 2024)

Global Feature-Injected Blind-Spot Network for Hyperspectral Anomaly Detection. - Degang Wang; Lina Zhuang; Lianru Gao; Xu Sun 005; Xiaobin Zhao (IEEE Geosci. Remote. Sens. Lett., 2024)

Shape-Sensitive Feature Extraction for Large-Aspect-Ratio Object Detection. - Tianwei Zhang 005; Xu Sun 005; Lina Zhuang; Lianru Gao; Bing Zhang 001; Ke Zheng (IEEE Geosci. Remote. Sens. Lett., 2024)

A Point-Set Topology-Based Information Entropy Estimation Method for Hyperspectral Target Detection. - Xiaotong Sun; Lina Zhuang; Lianru Gao; Hongmin Gao 001; Xu Sun 005; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Information Entropy Estimation Based on Point-Set Topology for Hyperspectral Anomaly Detection. - Xiaotong Sun; Lina Zhuang; Lianru Gao; Hongmin Gao 001; Xu Sun 005; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Sliding Dual-Window-Inspired Reconstruction Network for Hyperspectral Anomaly Detection. - Degang Wang; Lina Zhuang; Lianru Gao; Xu Sun 005; Xiaobin Zhao; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2024)

Eigen-CNN: Eigenimages Plus Eigennoise Level Maps Guided Network for Hyperspectral Image Denoising. - Lina Zhuang; Michael Ng 001; Lianru Gao; Zhicheng Wang (IEEE Trans. Geosci. Remote. Sens., 2024)

Eigenimage2Eigenimage (E2E): A Self-Supervised Deep Learning Network for Hyperspectral Image Denoising. - Lina Zhuang; Michael Ng 001; Lianru Gao; Joseph Michalski; Zhicheng Wang (IEEE Trans. Neural Networks Learn. Syst., 2024)

EGD-Net: Eigenimage Guided Diffusion Network for Hyperspectral Mixed Noise Removal. - Zhicheng Wang; Lina Zhuang; Joseph Michalski; Michael K. Ng 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Continuous Tensor Representation for Hyperspectral Anomaly Detection. - Yiming Zeng 015; Xi-Le Zhao; Teng-Yu Ji; Wei-Hao Wu; Degang Wang; Lina Zhuang (IEEE Trans. Geosci. Remote. Sens., 2025)