A Dataset with Ground-Truth for Hyperspectral Unmixing. - Min Zhao 014; Jie Chen 022 (IGARSS, 2018)

Nonlinear Unmixing of Hyperspectral Data via Deep Autoencoder Networks. - Mou Wang; Min Zhao 014; Jie Chen 022; Susanto Rahardja (IEEE Geosci. Remote. Sens. Lett., 2019)

A Laboratory-Created Dataset With Ground Truth for Hyperspectral Unmixing Evaluation. - Min Zhao 014; Jie Chen 022; Zhe He 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Hyperspectral Unmixing Via Plug-And-Play Priors. - Xiuheng Wang; Min Zhao 014; Jie Chen 022 (ICIP, 2020)

A Multi-Model Fusion Framework for NIR-to-RGB Translation. - Longbin Yan; Xiuheng Wang; Min Zhao 014; Shumin Liu; Jie Chen 022 (VCIP, 2020)

CNN-Based Anomaly Detection For Face Presentation Attack Detection With Multi-Channel Images. - Yuge Zhang; Min Zhao 014; Longbin Yan; Tiande Gao; Jie Chen 022 (VCIP, 2020)

Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors. - Min Zhao 014; Tiande Gao; Jie Chen 022; Wei Chen 016 (CoRR, 2020)

Reconstruction of Hyperspectral Data From RGB Images With Prior Category Information. - Longbin Yan; Xiuheng Wang; Min Zhao 014; Maboud F. Kaloorazi; Jie Chen 022; Susanto Rahardja (IEEE Trans. Computational Imaging, 2020)

Variational Autoencoders for Hyperspectral Unmixing with Endmember Variability. - Shuaikai Shi; Min Zhao 014; Lijun Zhang 004; Jie Chen 022 (ICASSP, 2021)

Hyperspectral image shadow compensation via cycle-consistent adversarial networks. - Min Zhao 014; Longbin Yan; Jie Chen 022 (Neurocomputing, 2021)

LSTM-DNN Based Autoencoder Network for Nonlinear Hyperspectral Image Unmixing. - Min Zhao 014; Longbin Yan; Jie Chen 022 (IEEE J. Sel. Top. Signal Process., 2021)

Hyperspectral Shadow Removal via Nonlinear Unmixing. - Min Zhao 014; Jie Chen 022; Susanto Rahardja (IEEE Geosci. Remote. Sens. Lett., 2021)

Object Detection in Hyperspectral Images. - Longbin Yan; Min Zhao 014; Xiuheng Wang; Yuge Zhang; Jie Chen 022 (IEEE Signal Process. Lett., 2021)

Constrained Energy Minimization with a DNN Detector. - Xiaoli Yang; Min Zhao 014; Shuaikai Shi; Jie Chen 022 (IGARSS, 2022)

Hyperspectral Unmixing Powered by Deep Image Priors and Denoising Regularization. - Min Zhao 014; Jie Chen 022 (IGARSS, 2022)

Multiscale-Superpixel-Based SparseCEM for Hyperspectral Target Detection. - Xiaoli Yang; Min Zhao 014; Tiande Gao; Jie Chen 022; Jie Zhang (IEEE Geosci. Remote. Sens. Lett., 2022)

Hyperspectral Unmixing via Nonnegative Matrix Factorization With Handcrafted and Learned Priors. - Min Zhao 014; Tiande Gao; Jie Chen 022; Wei Chen 016 (IEEE Geosci. Remote. Sens. Lett., 2022)

Perceptual Loss-Constrained Adversarial Autoencoder Networks for Hyperspectral Unmixing. - Min Zhao 014; Mou Wang; Jie Chen 022; Susanto Rahardja (IEEE Geosci. Remote. Sens. Lett., 2022)

Deep Constrained Energy Minimization for Hyperspectral Target Detection. - Xiaoli Yang; Min Zhao 014; Shuaikai Shi; Jie Chen 022 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Probabilistic Generative Model for Hyperspectral Unmixing Accounting for Endmember Variability. - Shuaikai Shi; Min Zhao 014; Lijun Zhang 004; Yoann Altmann; Jie Chen 022 (IEEE Trans. Geosci. Remote. Sens., 2022)

A 3-D-CNN Framework for Hyperspectral Unmixing With Spectral Variability. - Min Zhao 014; Shuaikai Shi; Jie Chen 022; Nicolas Dobigeon (IEEE Trans. Geosci. Remote. Sens., 2022)

A Plug-and-Play Priors Framework for Hyperspectral Unmixing. - Min Zhao 014; Xiuheng Wang; Jie Chen 022; Wei Chen 016 (IEEE Trans. Geosci. Remote. Sens., 2022)

Hyperspectral Unmixing for Additive Nonlinear Models With a 3-D-CNN Autoencoder Network. - Min Zhao 014; Mou Wang; Jie Chen 022; Susanto Rahardja (IEEE Trans. Geosci. Remote. Sens., 2022)

Tobacco Impurities Detection with Deep Image Segmentation Method on Hyperspectral Imaging. - Linruize Tang; Min Zhao 014; Shuaikai Shi; Jie Chen 022; Jinwei Li 002; Qiang Li; Rengang Li (ICSPCC, 2023)

Guided Deep Generative Model-Based Spatial Regularization for Multiband Imaging Inverse Problems. - Min Zhao 014; Nicolas Dobigeon; Jie Chen 022 (IEEE Trans. Image Process., 2023)

Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods. - Jie Chen 022; Min Zhao 014; Xiuheng Wang; Cédric Richard; Susanto Rahardja (IEEE Signal Process. Mag., 2023)

Cascaded transformer U-net for image restoration. - Longbin Yan; Min Zhao 014; Shumin Liu; Shuaikai Shi; Jie Chen 022 (Signal Process., 2023)

AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising. - Min Zhao 014; Jie Chen 022; Nicolas Dobigeon (IEEE Trans. Geosci. Remote. Sens., 2024)

Unrolling Plug-and-Play Network for Hyperspectral Unmixing. - Min Zhao 014; Linruize Tang; Jie Chen 022 (IEEE Trans. Geosci. Remote. Sens., 2025)