Adaptive L1/2 Sparsity-Constrained NMF With Half-Thresholding Algorithm for Hyperspectral Unmixing. - Wenhong Wang 004; Yuntao Qian (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Parallel adaptive sparsity-constrained NMF algorithm for hyperspectral unmixing. - Wenhong Wang 004; Yuntao Qian (IGARSS, 2016)

Kernel based sparse NMF algorithm for hyperspectral unmixing. - Wenhong Wang 004; Yuntao Qian (IGARSS, 2016)

Hypergraph-Regularized Sparse NMF for Hyperspectral Unmixing. - Wenhong Wang 004; Yuntao Qian; Yuan Yan Tang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Deep Nonnegative Dictionary Factorization for Hyperspectral Unmixing. - Wenhong Wang 004; Hongfu Liu 001 (Remote. Sens., 2020)

Multiple Clustering Guided Nonnegative Matrix Factorization for Hyperspectral Unmixing. - Wenhong Wang 004; Yuntao Qian; Hongfu Liu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Cluster-Wise Weighted NMF for Hyperspectral Images Unmixing with Imbalanced Data. - Xiaochen Lv; Wenhong Wang 004; Hongfu Liu 001 (Remote. Sens., 2021)

Correlation-Guided Ensemble Clustering for Hyperspectral Band Selection. - Wenguang Wang; Wenhong Wang 004; Hongfu Liu 001 (Remote. Sens., 2022)

Global-Local Consistency Constrained Deep Embedded Clustering for Hyperspectral Band Selection. - Shangfeng Ning; Wenhong Wang 004 (IEEE Access, 2023)

Joint Learning of Correlation-Constrained Fuzzy Clustering and Discriminative Non-Negative Representation for Hyperspectral Band Selection. - Zelin Li; Wenhong Wang 004 (Sensors, 2023)