• Ph.D. in Electrical and Computer Engineering, Instituto de Telecomunicações, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal (2018)

Supervisor: Jose M. Bioucas-Dias (IEEE Fellow), Co-supervisor: Mario A. T. Figueiredo (IEEE Fellow)

• M.Sc. in Cartography and geography information system, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China (2015)

Supervisor: Bing Zhang (IEEE Fellow), Co-supervisor: Lianru Gao

• B.S. in Geography information system (Dual degree in Economics), South China Normal University, Guangzhou, China (2012)

   

• 2023.11 - present: Professor in Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing

• 2022.04 - 2023.10: Associate Professor in Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing

• 2021.03 - 2022.02: Research Assistant Professor in the Department of Mathematics, the University of Hong Kong

• 2019.03 -2021.02: Research Assistant Professor in the Department of Mathematics, Hong Kong Baptist University

• 2015.09 - 2018.08: Marie Sklodowska-Curie early-stage researcher hosted by Instituto de Telecomunicações, Portugal.

​  Google Scholar, ORCID

Journal articles:

• FastHyMix: Fast and Parameter-free Hyperspectral Image Mixed Noise Removal, [PDF, Matlab Code]

      Lina Zhuang and Michael K. Ng        IEEE Transactions on Neural Networks and Learning Systems, 2021.

• Hy-demosaicing: Hyperspectral blind reconstruction from spectral subsampling，[PDF, Matlab Code]

       Lina Zhuang, Michael K. Ng, Xiyou Fu, and José M Bioucas-Dias        IEEE Transactions on Geoscience and Remote Sensing, 2021.

• Hyperspectral Image Mixed Noise Removal Using Subspace  Representation and Deep CNN Image Prior, [PDF, Matlab Code]

       Lina Zhuang, Michael K. Ng, and Xiyou Fu       Remote Sensing, 2021.

• Adaptive hyperspectral mixed noise removal,[PDF]

Tai-Xiang Jiang, Lina Zhuang*, Ting-Zhu Huang, Xi-le Zhao, and José M Bioucas-DiasIEEE Transactions on Geoscience and Remote Sensing, 2021.

• Using Low-rank Representation of AbundanceMaps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixings, [PDF, Matlab Code]

ESI highly cited paper

        Lianru Gao, Zhicheng Wang, Lina Zhuang*, Haoyang Yu, Bing Zhang, and Jocelyn Chanussot        IEEE Transactions on Geoscience and Remote Sensing, 2021.

• Hyperspectral Image Denoising Based on Global and Nonlocal Low-Rank Factorizations, [PDF, Matlab Code]

ESI highly cited paper

        Lina Zhuang, Xiyou Fu,  Michael K. Ng and José M. Bioucas-Dias,        IEEE Transactions on Geoscience and Remote Sensing, 2020.

• Hyperspectral Image Denoising and Anomaly Detection Based on Low-Rank and Sparse Representations, [PDF, Matlab Code]

ESI highly cited paper

        Lina Zhuang, Lianru Gao, Bing Zhang, Xiyou Fu and José M. Bioucas-Dias,        IEEE Transactions on Geoscience and Remote Sensing, 2020.

• Hyperspectral Mixed Noise Removal By L1-Norm-Based Subspace Representation, [PDF, Matlab Code]

         Lina Zhuang and Michael K. Ng,          IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Mar. 2020.

• Regularization parameter selection in minimum volume hyperspectral unmixing, [PDF, Matlab Code]

        Lina Zhuang, Chia-Hsiang Lin, Mario A. T. Figueiredo, and José M. Bioucas-Dias,        IEEE Transactions on Geoscience and Remote Sensing, 2019.

• Global Spatial and Local Spectral Similarity-Based Manifold Learning Group Sparse Representation for Hyperspectral Imagery Classification, [PDF]

       H Yu, L Gao, W Liao, B Zhang, L Zhuang, M Song, J Chanussot,          IEEE Transactions on Geoscience and Remote Sensing, 2019.

• Combining t-Distributed Stochastic Neighbor Embedding With Convolutional Neural Networks for Hyperspectral Image Classification, [PDF]

       L Gao, D Gu, L Zhuang, J Ren, D Yang, B Zhang,        IEEE Geoscience and Remote Sensing Letters, 2019.

• Fast hyperspectral image denoising and inpainting based on low-rank and sparse representations, [PDF, Matlab Code]

ESI highly cited paper

       Lina Zhuang and José M. Bioucas-Dias,        IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Mar. 2018.

• A  new low-rank representation based hyperspectral image denoising method for mineral mapping, [PDF]

       Lianru Gao, Dan Yao, Qingting Li, Ling Zhuang, Bing Zhang, and J. M. Bioucas-Dias        Remote Sensing, Sep. 2017.

• Region-Based Estimate of Endmember Variances for Hyperspectral Image Unmixing,

       Lianru Gao, Lina Zhuang, Bing Zhang,        IEEE Geoscience and remote sensing letters, 2016.

• A quantitative and comparative analysis of different preprocessing implementations of DPSO: a robust endmember extraction algorithm

       Lianru Gao, Lina Zhuang, Bing Zhang, Xu Sun, and Yuanfeng Wu,        Soft Computing, 2016.

• Normal Endmember Spectral Unmixing Model for Hyperspectral Imagery, [PDF]

       Lina Zhuang, Bing Zhang, Lianru Gao, Jun Li, and Antonio Plaza,        IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015.

• Multiple Algorithm  Integration  Based  on  Ant  Colony  Optimization  for  Endmember  Extraction  from Hyperspectral Imagery,

       Lianru Gao, Jianwei Gao, Jun Li, Antonio Plaza,  Lina Zhuang, Xu Sun, and Bing Zhang,        IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015.

• PSO-EM: A Hyperspectral Unmixing Algorithm Based On Normal Compositional Model, [PDF]

       Bing Zhang, Lina Zhuang, Lianru Gao, Wenfei Luo, Qiong Ran, and Qian Du,        IEEE Transactions on Geoscience and Remote Sensing, 2014.

Conference papers:

• Hy-demosaicing: hyperspectral blind reconstruction from spectral subsampling, (Third place in student paper contest of IGARSS 2018) [PDF]

       Lina Zhuang and José M. Bioucas-Dias,       IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018.

• Adaptive hyperspectral mixed noise removal, [PDF]

      Tai-Xiang Jiang, Lina Zhuang, Ting-Zhu Huang, and José M. Bioucas-Dias,       IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018.

• Hyperspectral image denoising and anomaly detection based on low-rank and sparse representation, (Best student paper presentation award) [PDF, Matlab Code, Conference Presentation Video]

     Lina Zhuang, Lianru Gao, Bing Zhang, and José M. Bioucas-Dia,      SPIE Remote Sensing, 2017.

• Hyperspectral image denoising based on global and non-local low-rank factorizations, [PDF, Matlab Code]

     Lina Zhuang and José M. Bioucas-Dias,      IEEE International Conference on Image Processing (ICIP), 2017.

• Class-adapted blind deblurring of document images, [PDF]

     Marina Ljubenovic, Lina Zhuang, and Mario Figueiredo,     14^th IAPR International Conference on Document Analysis and Recognition (ICDAR), 2017.

• Hyperspectral image inpainting based on low-rank representation: a case study on tiangong-1 data, [PDF]

     Dan Yao, Lina Zhuang, Lianru Gao, Bing Zhang, José M. Bioucas-Dias,      IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017.

• Fast Hyperspectral image denoising based on low-rank and sparse representations, [PDF]

     Lina Zhuang, José M. Bioucas-Dias,      IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016.

• Swarm Intelligence: A Reliable Solution for Extracting Endmembers from Hyperspectral Imagery, [PDF]

     Bing Zhang, Lianru Gao, Sun Xu, Lina Zhuang,      7th workshop on hyperspectral image and signal processing: evolution in remote sensing (Whispers), 2015.

• An Improved Expectation Maximization Algorithm for Hyperspectral Image Classification, [PDF]

     Lina Zhuang, Lianru Gao, Li Ni, and Bing Zhang,      5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (Whispers), 2013.

• Chairing and organization:

Session Organizer: 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · Brussels, Belgium

Session Chairs (TH2.MM-1 and TH2.MM-11): 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · Brussels, Belgium

• 2022, Winner of Hundred-Talent Programme of the Chinese Academy of Sciences

• 2018, Third place of student paper contest in IEEE International Geoscience and Remote Sensing Symposium 2018 (paper: Hy-domosaicing: hyperspectral blind reconstruction from spectral subsampling);

• 2017, Best student paper award at SPIE Remote Sensing and Security+Defence International Symposia 2017(paper: Hyperspectral image denoising and anomaly detection based on low-rank and sparse representations);

• 2015-2018, Marie Skłodowska-Curie Fellowship programme;

• 2013 and 2011, National Scholarship;