Deep Convex NMF for Image Clustering. - Bin Qian 006; Xiaobo Shen 001; Zhenmin Tang; Tao Zhang 015 (CCBR, 2016)

A Semi-supervised Learning Algorithm Based on Low Rank and Weighted Sparse Graph for Face Recognition. - Tao Zhang 015; Zhenmin Tang; Bin Qian 006 (CCBR, 2016)

Double Constrained NMF for Partial Multi-View Clustering. - Bin Qian 006; Xiaobo Shen 001; Yanyang Gu; Zhenmin Tang; Yuhua Ding (DICTA, 2016)

Nonnegative matrix factorization with endmember sparse graph learning for hyperspectral unmixing. - Bin Qian 006; Jun Zhou 001; Lei Tong; Xiaobo Shen 001; Fan Liu 003 (ICIP, 2016)

Melanoma Detection Based on Mahalanobis Distance Learning and Constrained Graph Regularized Nonnegative Matrix Factorization. - Yanyang Gu; Jun Zhou 001; Bin Qian 006 (WACV, 2017)

Nonnegative matrix factorization with region sparsity learning for hyperspectral unmixing. - Bin Qian 006; Lei Tong; Zhenmin Tang; Xiaobo Shen 001 (Int. J. Wavelets Multiresolution Inf. Process., 2017)

Hyperspectral unmixing via deep matrix factorization. - Lei Tong; Jing Yu 005; Chuangbai Xiao; Bin Qian 006 (Int. J. Wavelets Multiresolution Inf. Process., 2017)

Local and global regularized concept factorization for image clustering. - Bin Qian 006; Zhenmin Tang; Xiaobo Shen 001; Zhenqiu Shu (J. Electronic Imaging, 2017)

Hyper-graph Regularized Multi-view Matrix Factorization for Vehicle Identification. - Bin Qian 006; Xiaobo Shen 001; Zhenqiu Shu; Xiguang Gu; Jin Huang; Jiabin Hu (ICCCS (1), 2018)

基于稀疏表示和多特征融合的路面裂缝检测 (Pavement Crack Detection Based on Sparse Representation and Multi-feature Fusion). - Yuxue Zhang; Zhenmin Tang; Bin Qian 006; Wei Xu (计算机科学, 2018)

Adaptive Graph Regularized Multilayer Nonnegative Matrix Factorization for Hyperspectral Unmixing. - Lei Tong; Jun Zhou 001; Bin Qian 006; Jing Yu 005; Chuangbai Xiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Self-Attention-Based Conditional Variational Auto-Encoder Generative Adversarial Networks for Hyperspectral Classification. - Zhitao Chen; Lei Tong; Bin Qian 006; Jing Yu 005; Chuangbai Xiao (Remote. Sens., 2021)

Hyperspectral Image Classification With Spectral and Spatial Graph Using Inductive Representation Learning Network. - Pan Yang 017; Lei Tong; Bin Qian 006; Zheng Gao; Jing Yu 005; Chuangbai Xiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Stochastic Depth Residual Network for Hyperspectral Image Classification. - Zheng Gao; Lei Tong; Jun Zhou 001; Bin Qian 006; Jing Yu 005; Chuangbai Xiao (IEEE Trans. Geosci. Remote. Sens., 2022)

Superpixel Spectral-Spatial Feature Fusion Graph Convolution Network for Hyperspectral Image Classification. - Zhi Gong; Lei Tong; Jun Zhou 001; Bin Qian 006; Lijuan Duan; Chuangbai Xiao (IEEE Trans. Geosci. Remote. Sens., 2022)