Nonnegative Matrix Factorization with Fixed L2-Norm Constraint. - Zuyuan Yang; Yifei Hu; Naiyao Liang; Jun Lv (Circuits Syst. Signal Process., 2019)

Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data. - Haonan Huang; Naiyao Liang; Wei Yan; Zuyuan Yang; Zhenni Li; Weijun Sun (ICDM (Workshops), 2020)

Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data. - Haonan Huang; Naiyao Liang; Wei Yan; Zuyuan Yang; Weijun Sun (CoRR, 2020)

Multi-view clustering by non-negative matrix factorization with co-orthogonal constraints. - Naiyao Liang; Zuyuan Yang; Zhenni Li; Weijun Sun; Shengli Xie (Knowl. Based Syst., 2020)

Semi-supervised multi-view clustering with Graph-regularized Partially Shared Non-negative Matrix Factorization. - Naiyao Liang; Zuyuan Yang; Zhenni Li; Shengli Xie; Chun-Yi Su (Knowl. Based Syst., 2020)

Co-attention fusion based deep neural network for Chinese medical answer selection. - Xichen Chen; Zuyuan Yang; Naiyao Liang; Zhenni Li; Weijun Sun (Appl. Intell., 2021)

Semi-supervised multi-view learning by using label propagation based non-negative matrix factorization. - Naiyao Liang; Zuyuan Yang; Zhenni Li; Shengli Xie; Weijun Sun (Knowl. Based Syst., 2021)

Uniform Distribution Non-Negative Matrix Factorization for Multiview Clustering. - Zuyuan Yang; Naiyao Liang; Wei Yan; Zhenni Li; Shengli Xie (IEEE Trans. Cybern., 2021)

Incomplete multi-view clustering with incomplete graph-regularized orthogonal non-negative matrix factorization. - Naiyao Liang; Zuyuan Yang; Zhenni Li; Wei Han (Appl. Intell., 2022)

Label prediction based constrained non-negative matrix factorization for semi-supervised multi-view classification. - Naiyao Liang; Zuyuan Yang; Zhenni Li; Shengli Xie (Neurocomputing, 2022)

Co-consensus semi-supervised multi-view learning with orthogonal non-negative matrix factorization. - Naiyao Liang; Zuyuan Yang; Zhenni Li; Shengli Xie (Inf. Process. Manag., 2022)

Incomplete Multiview Clustering With Cross-View Feature Transformation. - Naiyao Liang; Zuyuan Yang; Lingjiang Li; Zhenni Li; Shengli Xie (IEEE Trans. Artif. Intell., 2022)

A convergence algorithm for graph co-regularized transfer learning. - Zuyuan Yang; Naiyao Liang; Zhenni Li; Shengli Xie (Sci. China Inf. Sci., 2023)

Semi-supervised multi-view clustering by label relaxation based non-negative matrix factorization. - Zuyuan Yang; Huimin Zhang; Naiyao Liang; Zhenni Li; Weijun Sun (Vis. Comput., 2023)

Incomplete Multi-View Clustering With Sample-Level Auto-Weighted Graph Fusion. - Naiyao Liang; Zuyuan Yang; Shengli Xie (IEEE Trans. Knowl. Data Eng., 2023)

Diverse Deep Matrix Factorization with Hypergraph Regularization for Multi-View Data Representation. - Haonan Huang; Guoxu Zhou; Naiyao Liang; Qibin Zhao; Shengli Xie (IEEE CAA J. Autom. Sinica, 2023)

SFCSA-YOLO: Scale Fusion and Channel Standard-deviation Attention Based YOLO for Skin Lesion Segmentation. - Shuanglong Xie; Naiyao Liang; Zuyuan Yang; Kan Xie (IoTAAI, 2024)

Label-Weighted Graph-Based Learning for Semi-Supervised Classification Under Label Noise. - Naiyao Liang; Zuyuan Yang; Junhang Chen; Zhenni Li; Shengli Xie (IEEE Trans. Big Data, 2024)

Multi-View Clustering With Consistent Local Structure-Guided Graph Fusion. - Naiyao Liang; Zuyuan Yang; Wei Han; Zhenni Li; Shengli Xie (IEEE Trans. Emerg. Top. Comput. Intell., 2025)