Two-dimensional supervised local similarity and diversity projection. - Quanxue Gao; Hui Xu; Yiying Li; De-Yan Xie (Pattern Recognit., 2010)

Merging model-based two-dimensional principal component analysis. - Kai Cui; Quanxue Gao; Hailin Zhang; Xinbo Gao 001; De-Yan Xie (Neurocomputing, 2015)

F-norm distance metric based robust 2DPCA and face recognition. - Tao Li; Mengyuan Li; Quanxue Gao; De-Yan Xie (Neural Networks, 2017)

Dimensionality reduction by LPP-L21. - Shujian Wang; De-Yan Xie; Fang Chen; Quanxue Gao (IET Comput. Vis., 2018)

Robust DLPP With Nongreedy ℓ1-Norm Minimization and Maximization. - Qianqian Wang 001; Quanxue Gao; De-Yan Xie; Xinbo Gao 001; Yong Wang (IEEE Trans. Neural Networks Learn. Syst., 2018)

Tensor Linear Regression and Its Application to Color Face Recognition. - Quanxue Gao; Jiafeng Cheng; De-Yan Xie; Pu Zhang; Wei Xia; Qianqian Wang 001 (ICCV Workshops, 2019)

Graph and Autoencoder Based Feature Extraction for Zero-shot Learning. - Yang Liu 069; De-Yan Xie; Quanxue Gao; Jungong Han; Shujian Wang; Xinbo Gao 001 (IJCAI, 2019)

Multi-View Spectral Clustering via Integrating Global and Local Graphs. - De-Yan Xie; Quanxue Gao; Qianqian Wang 001; Song Xiao (IEEE Access, 2019)

Multi-View Classification via Adaptive Discriminant Analysis. - De-Yan Xie; Qin Li 001; Wei Xia; Shiwei Pang; Huihui He; Quanxue Gao (IEEE Access, 2019)

Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering. - Quanxue Gao; Wei Xia; Zhizhen Wan; De-Yan Xie; Pu Zhang (AAAI, 2020)

Multi-View Attribute Graph Convolution Networks for Clustering. - Jiafeng Cheng; Qianqian Wang 001; Zhiqiang Tao; De-Yan Xie; Quanxue Gao (IJCAI, 2020)

Fast algorithm for large-scale subspace clustering by LRR. - De-Yan Xie; Feiping Nie 001; Quanxue Gao; Song Xiao (IET Image Process., 2020)

Multi-view clustering by joint manifold learning and tensor nuclear norm. - De-Yan Xie; Wei Xia; Qianqian Wang 001; Quanxue Gao; Song Xiao (Neurocomputing, 2020)

On the optimal solution to maximum margin projection pursuit. - De-Yan Xie; Feiping Nie 001; Quanxue Gao (Multim. Tools Appl., 2020)

Adaptive latent similarity learning for multi-view clustering. - De-Yan Xie; Quanxue Gao; Qianqian Wang 001; Xiangdong Zhang; Xinbo Gao 001 (Neural Networks, 2020)

Multiview Clustering by Joint Latent Representation and Similarity Learning. - De-Yan Xie; Xiangdong Zhang; Quanxue Gao; Jiale Han 001; Song Xiao; Xinbo Gao 001 (IEEE Trans. Cybern., 2020)

Multiple graphs learning with a new weighted tensor nuclear norm. - De-Yan Xie; Quanxue Gao; Siyang Deng; Xiaojun Yang; Xinbo Gao 001 (Neural Networks, 2021)

Enhanced Tensor RPCA and its Application. - Quanxue Gao; Pu Zhang; Wei Xia; De-Yan Xie; Xinbo Gao 001; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Enhanced tensor low-rank representation learning for multi-view clustering. - De-Yan Xie; Quanxue Gao; Ming Yang (Neural Networks, 2023)

Label Learning Method Based on Tensor Projection. - Jing Li 026; Quanxue Gao; Qianqian Wang 001; Cheng Deng; De-Yan Xie (KDD, 2024)

Consistent graph learning for multi-view spectral clustering. - De-Yan Xie; Quanxue Gao; Yougang Zhao; Fan Yang; Wei Song (Pattern Recognit., 2024)

Non-convex tensorial multi-view clustering by integrating ℓ1-based sliced-Laplacian regularization and ℓ2,p-sparsity. - De-Yan Xie; Ming Yang 024; Quanxue Gao; Wei Song (Pattern Recognit., 2024)