Top-N Recommendation on Graphs. - Zhao Kang 001; Chong Peng 001; Ming Yang 024; Qiang Cheng 001 (CIKM, 2016)

RAP: Scalable RPCA for Low-rank Matrix Recovery. - Chong Peng 001; Zhao Kang 001; Ming Yang 024; Qiang Cheng 001 (CIKM, 2016)

Feature Selection Embedded Subspace Clustering. - Chong Peng 001; Zhao Kang 001; Ming Yang 024; Qiang Cheng 001 (IEEE Signal Process. Lett., 2016)

Exploiting Nonlinear Relationships for Top-N Recommender Systems. - Zhao Kang 001; Chong Peng 001; Ming Yang 024; Qiang Cheng 001 (ICBK, 2017)

Image Denoising via Improved Dictionary Learning with Global Structure and Local Similarity Preservations. - Shuting Cai; Zhao Kang 001; Ming Yang 024; Xiaoming Xiong; Chong Peng 001; Mingqing Xiao 001 (Symmetry, 2018)

On the Modeling and Predication of Teaching Effectiveness with Machine Learning. - Kun Tian; Wen Liu; Ying He; Ming Yang 024; Danhua Zhao (ICCSE, 2020)

A Mobile Robot Visual SLAM System With Enhanced Semantics Segmentation. - Feng Li 034; Weijun Li; Wenfeng Chen; Weifeng Xu; Linqing Huang; Dan Li 029; Shuting Cai; Ming Yang 024; Xiaoming Xiong; Yuan Liu 022 (IEEE Access, 2020)

Multiview Clustering of Images with Tensor Rank Minimization via Nonconvex Approach. - Ming Yang 024; Qilun Luo; Wen Li 006; Mingqing Xiao 001 (SIAM J. Imaging Sci., 2020)

Enhancing Effectiveness of Teaching Evaluation using Blockchain and Regulated Token Economy. - Kun Tian; Ying He; Jiangyang Fu; Guiqin He; Ming Yang 024 (ICCSE, 2021)

Robust Multiview Subspace Clustering of Images via Tighter Rank Approximation. - Xiaoli Sun; Youjuan Wang; Ming Yang 024; Xiujun Zhang (IEEE Access, 2021)

Self-supervised Contrastive Attributed Graph Clustering. - Wei Xia; Quanxue Gao; Ming Yang 024; Xinbo Gao 001 (CoRR, 2021)

Cross-modal distribution alignment embedding network for generalized zero-shot learning. - Qin Li 001; Mingzhen Hou; Hong Lai; Ming Yang 024 (Neural Networks, 2022)

Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation. - Wei Xia; Sen Wang; Ming Yang 024; Quanxue Gao; Jungong Han; Xinbo Gao 001 (Neural Networks, 2022)

Nonconvex 3D array image data recovery and pattern recognition under tensor framework. - Ming Yang 024; Qilun Luo; Wen Li 006; Mingqing Xiao 001 (Pattern Recognit., 2022)

View-Consistency Learning for Incomplete Multiview Clustering. - Ziyu Lv; Quanxue Gao; Xiangdong Zhang; Qin Li 001; Ming Yang 024 (IEEE Trans. Image Process., 2022)

Multiview Spectral Clustering With Bipartite Graph. - Haizhou Yang; Quanxue Gao; Wei Xia; Ming Yang 024; Xinbo Gao 001 (IEEE Trans. Image Process., 2022)

3-D Array Image Data Completion by Tensor Decomposition and Nonconvex Regularization Approach. - Ming Yang 024; Qilun Luo; Wen Li 006; Mingqing Xiao 001 (IEEE Trans. Signal Process., 2022)

Centerless Multi-View K-means Based on the Adjacency Matrix. - Han Lu; Quanxue Gao; Qianqian Wang 001; Ming Yang 024; Wei Xia (AAAI, 2023)

Orthogonal Non-negative Tensor Factorization based Multi-view Clustering. - Jing Li 026; Quanxue Gao; Qianqian Wang 001; Ming Yang 024; Wei Xia (NeurIPS, 2023)

Adaptive multi-granularity sparse subspace clustering. - Tingquan Deng; Ge Yang; Yang Huang 009; Ming Yang 024; Hamido Fujita (Inf. Sci., 2023)

Graph Embedding Contrastive Multi-Modal Representation Learning for Clustering. - Wei Xia; Tianxiu Wang; Quanxue Gao; Ming Yang 024; Xinbo Gao 001 (IEEE Trans. Image Process., 2023)

Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach. - Qilun Luo; Ming Yang 024; Wen Li 006; Mingqing Xiao 001 (ACM Trans. Intell. Syst. Technol., 2023)

Self-Weighted Anchor Graph Learning for Multi-View Clustering. - Xiaochuang Shu; Xiangdong Zhang; Quanxue Gao; Ming Yang 024; Rong Wang 001; Xinbo Gao 001 (IEEE Trans. Multim., 2023)

Self-Consistent Contrastive Attributed Graph Clustering With Pseudo-Label Prompt. - Wei Xia; Qianqian Wang 001; Quanxue Gao; Ming Yang 024; Xinbo Gao 001 (IEEE Trans. Multim., 2023)

Joint feature selection and optimal bipartite graph learning for subspace clustering. - Shikun Mei; Wenhui Zhao; Quanxue Gao; Ming Yang 024; Xinbo Gao 001 (Neural Networks, 2023)

Sliced Sparse Gradient Induced Multi-View Subspace Clustering via Tensorial Arctangent Rank Minimization. - Xiaoli Sun; Rui Zhu; Ming Yang 024; Xiujun Zhang; Yuanyan Tang (IEEE Trans. Knowl. Data Eng., 2023)

Low-rank discrete multi-view spectral clustering. - Yu Yun; Jing Li 026; Quanxue Gao; Ming Yang 024; Xinbo Gao 001 (Neural Networks, 2023)

Active learning based on similarity level histogram and adaptive-scale sampling for very high resolution image classification. - Guangfei Li; Quanxue Gao; Ming Yang 024; Xinbo Gao 001 (Neural Networks, 2023)

Contrastive self-representation learning for data clustering. - Wenhui Zhao; Quanxue Gao; Shikun Mei; Ming Yang 024 (Neural Networks, 2023)

Sparse discriminant PCA based on contrastive learning and class-specificity distribution. - Qian Zhou; Quanxue Gao; Qianqian Wang 001; Ming Yang 024; Xinbo Gao 001 (Neural Networks, 2023)

Interpretable Multi-View Clustering Based on Anchor Graph Tensor Factorization. - Jing Li 026; Quanxue Gao; Cheng Deng; Qianqian Wang 001; Ming Yang 024 (CoRR, 2024)

Tensor robust PCA with nonconvex and nonlocal regularization. - Xiaoyu Geng; Qiang Guo 003; Shuaixiong Hui; Ming Yang 024; Caiming Zhang 001 (Comput. Vis. Image Underst., 2024)

Dual contrastive learning for multi-view clustering. - Yichen Bao; Wenhui Zhao; Qin Zhao; Quanxue Gao; Ming Yang 024 (Neurocomputing, 2024)

Anchor graph-based multiview spectral clustering. - Yu Lei; Zuoyuan Niu; Qianqian Wang 001; Quanxue Gao; Ming Yang 024 (Neurocomputing, 2024)

Nonconvex submodule clustering via joint sliced sparse gradient and cluster-aware approach. - Jingyu Wang; Tingquan Deng; Ming Yang 024 (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)

Multi-view reduced dimensionality K-means clustering with σ-norm and Schatten p-norm. - Xiangdong Zhang; Fangfang Li 005; Zhaoyang Shi; Ming Yang 024 (Pattern Recognit., 2024)

Efficient Multi-View -Means for Image Clustering. - Han Lu; Huafu Xu; Qianqian Wang 001; Quanxue Gao; Ming Yang 024; Xinbo Gao 001 (IEEE Trans. Image Process., 2024)

Unsupervised Discriminative Feature Selection via Contrastive Graph Learning. - Qian Zhou; Qianqian Wang 001; Quanxue Gao; Ming Yang 024; Xinbo Gao 001 (IEEE Trans. Image Process., 2024)

Efficient Anchor Graph Factorization for Multi-View Clustering. - Jing Li 026; Qianqian Wang 001; Ming Yang 024; Quanxue Gao; Xinbo Gao 001 (IEEE Trans. Multim., 2024)

Self-adaptive SURF for image-to-video matching. - Ming Yang 024; Jiaming Li; Zhigang Li; Wen Li 006; Kairui Zhang (Signal Image Video Process., 2024)

Multidimensional Data Processing With Bayesian Inference via Structural Block Decomposition. - Qilun Luo; Ming Yang 024; Wen Li 006; Mingqing Xiao 001 (IEEE Trans. Cybern., 2024)

Class label fusion guided correlation learning for incomplete multi-label classification. - Qingwei Jia; Tingquan Deng; Ming Yang 024; Yan Wang; Changzhong Wang (Inf. Fusion, 2025)

Multi-view clustering based on feature selection and semi-non-negative anchor graph factorization. - Shikun Mei; Qianqian Wang 001; Quanxue Gao; Ming Yang 024 (Neural Networks, 2025)

Embedded Multi-View Clustering via Collaborative Tensor Subspace Representation and Multi-Graph Fusion. - Jingyu Wang; Tingquan Deng; Ming Yang 024; Jiayi Wang (IEEE Signal Process. Lett., 2025)

Image Clustering With Transition Probabilities Learning. - Xingyu Xue; Wenhui Zhao; Quanxue Gao; Ming Yang 024; Cheng Deng (IEEE Trans. Image Process., 2025)

Large-scale stochastic sparse subspace representation with consensus anchor guidance. - Ge Yang; Tingquan Deng; Ming Yang 024; Changzhong Wang (Appl. Intell., 2025)

Tensorized Tri-Factor Decomposition for Multi-View Clustering. - Rui Wang; Quanxue Gao; Ming Yang 024; Qianqian Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Tensorized Soft Label Learning Based on Orthogonal NMF. - Fangfang Li 005; Quanxue Gao; Qianqian Wang 001; Ming Yang 024; Cheng Deng (IEEE Trans. Neural Networks Learn. Syst., 2025)