Fault detection method based on HHT for spacecraft mono-propellant propulsion system. - Miao Zhang 001; Zhenzhou Lai; Dan Li 014; Yibo Wang; Yi Shen 001; Yan Wang 047 (I2MTC, 2013)

GA-BFO based signal reconstruction for compressive sensing. - Dan Li 014; Muyu Li; Yi Shen 001; Yan Wang 047; Qiang Wang 001 (ICIA, 2013)

Artificial immune algorithm based signal reconstruction for compressive sensing. - Dan Li 014; Chunli Shi; Qiang Wang 001; Yi Shen 001; Yan Wang 047 (I2MTC, 2014)

Multi-variable intelligent matching pursuit algorithm using prior knowledge for image reconstruction by l0 minimization. - Dan Li 014; Qiang Wang 001; Yi Shen 001 (Neurocomputing, 2016)

Predicted multi-variable intelligent matching pursuit algorithm for image sequences reconstruction based on l0 minimization. - Dan Li 014; Qiang Wang 001; Yi Shen 001 (J. Vis. Commun. Image Represent., 2016)

Intelligent greedy pursuit model for sparse reconstruction based on l0 minimization. - Dan Li 014; Qiang Wang 001; Yi Shen 001 (Signal Process., 2016)

Recursive intelligent matching pursuit method for image sequences reconstruction based on l0 minimization. - Dan Li 014; Chaoran Liu; Xuan Liu; Zhaojun Wu; Qiang Wang 001; Yi Shen 001 (I2MTC, 2017)

Geometric structure based intelligent collaborative compressive sensing for image reconstruction by l0 minimization. - Dan Li 014; Qiang Wang 001; Yi Shen 001 (Neurocomputing, 2017)

Intelligent nonconvex compressive sensing using prior information for image reconstruction by sparse representation. - Qiang Wang 001; Dan Li 014; Yi Shen 001 (Neurocomputing, 2017)

Edge guided compressive sensing for image reconstruction based on two-stage l0 minimization. - Dan Li 014; Zhaojun Wu; Qiang Wang 001 (J. Vis. Commun. Image Represent., 2019)

A residual network framework based on weighted feature channels for multispectral image compression. - Fanqiang Kong; Shunmin Zhao; Yunsong Li 001; Dan Li 014; Yongbo Zhou (Ad Hoc Networks, 2020)

Adaptive kernel sparse representation based on multiple feature learning for hyperspectral image classification. - Dan Li 014; Qiang Wang 001; Fanqiang Kong (Neurocomputing, 2020)

Superpixel-feature-based multiple kernel sparse representation for hyperspectral image classification. - Dan Li 014; Qiang Wang 001; Fanqiang Kong (Signal Process., 2020)

A fast global matching pursuit algorithm for sparse reconstruction by l0 minimization. - Dan Li 014; Zhaojun Wu (Signal Image Video Process., 2020)

End-to-end multispectral image compression framework based on adaptive multiscale feature extraction. - Fanqiang Kong; Shunmin Zhao; Yunsong Li 001; Dan Li 014 (J. Electronic Imaging, 2021)

Spectral-Spatial Feature Partitioned Extraction Based on CNN for Multispectral Image Compression. - Fanqiang Kong; Kedi Hu; Yunsong Li 001; Dan Li 014; Shunmin Zhao (Remote. Sens., 2021)

Hyperspectral Image Classification Based on Two-Branch Spectral-Spatial-Feature Attention Network. - Hanjie Wu; Dan Li 014; Yujian Wang; Xiaojun Li; Fanqiang Kong; Qiang Wang 001 (Remote. Sens., 2021)

Hyperspectral image classification via nonlocal joint kernel sparse representation based on local covariance. - Dan Li 014; Fanqiang Kong; Qiang Wang 001 (Signal Process., 2021)

Superpixel-Based Multiple Statistical Feature Extraction Method for Classification of Hyperspectral Images. - Dan Li 014; Fangqiang Kong; Jiahang Liu; Qiang Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

Hyperspectral Image Mixed Noise Removal Based on Multidirectional Low-Rank Modeling and Spatial-Spectral Total Variation. - Minghua Wang; Qiang Wang 001; Jocelyn Chanussot; Dan Li 014 (IEEE Trans. Geosci. Remote. Sens., 2021)

Spatial-spectral feature deep extraction based on a multichannel grouping fusion module for multispectral image compression. - Fangqiang Kong; Kang Wang; Dan Li 014; Kedi Hu (J. Electronic Imaging, 2022)

Multi-scale spatial-spectral attention network for multispectral image compression based on variational autoencoder. - Fanqiang Kong; Tongbo Cao; Yunsong Li 001; Dan Li 014; Kedi Hu (Signal Process., 2022)

A Global Spectral-Spatial Feature Learning Network for Semisupervised Hyperspectral Unmixing. - Fanqiang Kong; Mengyue Chen; Yunsong Li 001; Dan Li 014 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

A Spectral-Spatial Feature Extraction Method With Polydirectional CNN for Multispectral Image Compression. - Fanqiang Kong; Kedi Hu; Yunsong Li 001; Dan Li 014; Xin Liu 009; Tariq S. Durrani (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Multiple Spectral-Spatial Representation Based on Tensor Decomposition for HSI Anomaly Detection. - Yujian Wang; Dan Li 014; Hanjie Wu; Xiaojun Li; Fanqiang Kong; Qiang Wang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Window Transformer Convolutional Autoencoder for Hyperspectral Sparse Unmixing. - Fanqiang Kong; Yuhan Zheng; Dan Li 014; Yunsong Li 001; Mengyue Chen (IEEE Geosci. Remote. Sens. Lett., 2023)

Deep Interpretable Fully CNN Structure for Sparse Hyperspectral Unmixing via Model-Driven and Data-Driven Integration. - Fanqiang Kong; Mengyue Chen; Yunsong Li 001; Dan Li 014; Yuhan Zheng (IEEE Trans. Geosci. Remote. Sens., 2023)

Spectral-Spatial Prototype Learning-Based Nearest Neighbor Classifier for Hyperspectral Images. - Dan Li 014; Yuan Shen; Fangqiang Kong; Jiahang Liu; Qiang Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Dual-branch spectral-spatial feature extraction network for multispectral image compression. - Fanqiang Kong; Jiahui Tang; Yunsong Li 001; Dan Li 014; Kedi Hu (Multim. Syst., 2023)

Spectral Quadratic Variation Regularized Autoweighted Tensor Ring Decomposition for Hyperspectral Image Reconstruction. - Xinwei Wan; Dan Li 014; Fanqiang Kong; Yanyan Lv; Qiang Wang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Mixture autoregressive and spectral attention network for multispectral image compression based on variational autoencoder. - Fanqiang Kong; Guanglong Ren; Yunfang Hu; Dan Li 014; Kedi Hu (Vis. Comput., 2024)

Enhancing Hyperspectral Images Compressive Sensing Reconstruction With Smooth Low-Rankness Joint Gradient Sparsity. - Yanyan Lv; Dan Li 014; Fanqiang Kong; Xinwei Wan; Qiang Wang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)