Row-Sparsity Spectral Unmixing via Total Variation. - Jin-Ju Wang; Ting-Zhu Huang; Jie Huang 005; Hong-Xia Dou; Liang-Jian Deng; Xi-Le Zhao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Enhancing Reweighted Low-Rank Representation for Hyperspectral Image Unmixing. - Wu-Chao Di; Jie Huang 005; Jin-Ju Wang; Ting-Zhu Huang (IGARSS, 2021)

Endmember Constraint Non-Negative Tensor Factorization Via Total Variation for Hyperspectral Unmixing. - Jin-Ju Wang; Ding-Cheng Wang; Ting-Zhu Huang; Jie Huang 005 (IGARSS, 2021)

A two-step iterative algorithm for sparse hyperspectral unmixing via total variation. - Jin-Ju Wang; Ting-Zhu Huang; Jie Huang 005; Liang-Jian Deng (Appl. Math. Comput., 2021)

Endmember independence constrained hyperspectral unmixing via nonnegative tensor factorization. - Jin-Ju Wang; Ding-Cheng Wang; Ting-Zhu Huang; Jie Huang 005; Xi-Le Zhao; Liang-Jian Deng (Knowl. Based Syst., 2021)

Bilateral Joint-Sparse Regression for Hyperspectral Unmixing. - Jie Huang 005; Wu-Chao Di; Jin-Ju Wang; Jie Lin; Ting-Zhu Huang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

CD-GAN: a robust fusion-based generative adversarial network for unsupervised change detection between heterogeneous images. - Jin-Ju Wang; Nicolas Dobigeon; Marie Chabert; Ding-Cheng Wang; Jie Huang 005; Ting-Zhu Huang (CoRR, 2022)

Efficient Weighted-Adaptive Sparse Constrained Nonnegative Tensor Factorization for Hyperspectral Unmixing. - Ping Yang; Ting-Zhu Huang; Jie Huang 005; Jin-Ju Wang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

CD-GAN: A robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors. - Jin-Ju Wang; Nicolas Dobigeon; Marie Chabert; Ding-Cheng Wang; Ting-Zhu Huang; Jie Huang 005 (Inf. Fusion, 2024)

Overlapping patch-based joint-sparse regression for hyperspectral image unmixing. - Sheng Shu; Ting-Zhu Huang; Jie Huang 005; Jin-Ju Wang (J. Comput. Appl. Math., 2026)