Hyperspectral Unmixing Using Sparsity-Constrained Deep Nonnegative Matrix Factorization With Total Variation. - Xin-Ru Feng; Heng-Chao Li 001; Jun Li 009; Qian Du 001; Antonio Plaza; William J. Emery (IEEE Trans. Geosci. Remote. Sens., 2018)

Hyperspectral Unmixing Based on Sparsity-Constrained Nonnegative Matrix Factorization with Adaptive Total Variation. - Xin-Ru Feng; Heng-Chao Li 001; Rui Wang 090 (IGARSS, 2019)

Sparsity-Constrained Coupled Nonnegative Matrix-Tensor Factorization for Hyperspectral Unmixing. - Heng-Chao Li 001; Shuang Liu; Xin-Ru Feng; Shaoquan Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Correntropy-Based Autoencoder-Like NMF With Total Variation for Hyperspectral Unmixing. - Xin-Ru Feng; Heng-Chao Li 001; Shuang Liu; Hongyan Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Correction to "Correntropy-Based Autoencoder-Like NMF With Total Variation for Hyperspectral Unmixing". - Xin-Ru Feng; Heng-Chao Li 001; Shuang Liu; Hongyan Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review. - Xin-Ru Feng; Heng-Chao Li 001; Rui Wang 090; Qian Du 001; Xiuping Jia; Antonio Plaza (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Self-Supervised Robust Deep Matrix Factorization for Hyperspectral Unmixing. - Heng-Chao Li 001; Xin-Ru Feng; Donghai Zhai; Qian Du 001; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2022)

Dual auto-weighted multi-view clustering via autoencoder-like nonnegative matrix factorization. - Si-Jia Xiang; Heng-Chao Li; Jing-Hua Yang; Xin-Ru Feng (Inf. Sci., 2024)