Weizhong Yu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 30

Top Topics

Sparse Principal Component Analysis

Locality Preserving

Hyperspectral Images

Spectral Clustering

Top Venues

Knowl. Based Syst.

Pattern Recognit.

Publications

Qiang Chen, Weizhong Yu, Feiping Nie, Xuelong Li
Adaptive Fuzzy C-Means with Graph Embedding. CoRR (2024)
Weizhong Yu, Liyin Xing, Feiping Nie, Xuelong Li
Multiview Fuzzy Clustering Based on Anchor Graph. IEEE Trans. Fuzzy Syst. 32 (3) (2024)
Yunzhi Ling, Feiping Nie, Weizhong Yu, Yunhao Ling, Xuelong Li
Robust autoencoder feature selector for unsupervised feature selection. Inf. Sci. 660 (2024)
Chenhui Gao, Wenzhi Chen, Feiping Nie, Weizhong Yu, Zonghui Wang
Spectral clustering with linear embedding: A discrete clustering method for large-scale data. Pattern Recognit. 151 (2024)
Feiping Nie, Jingjing Xue, Weizhong Yu, Xuelong Li
Fast Clustering With Anchor Guidance. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Feiping Nie, Fangyuan Xie, Weizhong Yu, Xuelong Li
Parameter-Insensitive Min Cut Clustering With Flexible Size Constrains. IEEE Trans. Pattern Anal. Mach. Intell. 46 (8) (2024)
Feiping Nie, Qiang Chen, Weizhong Yu, Xuelong Li
Row-Sparse Principal Component Analysis via Coordinate Descent Method. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Fangyuan Xie, Feiping Nie, Weizhong Yu, Xuelong Li
Parameter-free ensemble clustering with dynamic weighting mechanism. Pattern Recognit. 151 (2024)
Qiang Chen, Feiping Nie, Weizhong Yu, Xuelong Li
$\ell _{2,p}$-Norm and Mahalanobis Distance-Based Robust Fuzzy C-Means. IEEE Trans. Fuzzy Syst. 31 (9) (2023)
Qiang Chen, Weizhong Yu, Xiaowei Zhao, Feiping Nie, Xuelong Li
Rooted Mahalanobis distance based Gustafson-Kessel fuzzy C-means. Inf. Sci. 644 (2023)
Xiaowei Zhao, Feiping Nie, Weizhong Yu, Xuelong Li
Fast neighborhood reconstruction with adaptive weights learning. Knowl. Based Syst. 259 (2023)
Weizhong Yu, Liyin Xing, Feiping Nie, Xuelong Li
An efficient semi-supervised balanced cut with hard pairwise constraints and partial labels. Knowl. Based Syst. 276 (2023)
Weizhong Yu, Jintang Bian, Feiping Nie, Rong Wang, Xuelong Li
Unsupervised Subspace Learning With Flexible Neighboring. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Chenhui Gao, Wenzhi Chen, Feiping Nie, Weizhong Yu, Feihu Yan
Subspace clustering by directly solving Discriminative K-means. Knowl. Based Syst. 252 (2022)
Weizhong Yu, Haixia Ji, Qingjun Tan
Evaluation of the Efficacy of Statins in the Treatment of Coronary Artery Plaque Using Dual-Source Spiral Computed Tomography Image Features under Deep Learning. Sci. Program. 2022 (2022)
Ben Yang, Xuetao Zhang, Feiping Nie, Fei Wang, Weizhong Yu, Rong Wang
Fast Multi-View Clustering via Nonnegative and Orthogonal Factorization. IEEE Trans. Image Process. 30 (2021)
Zhongheng Li, Fang He, Haojie Hu, Fei Wang, Weizhong Yu
Random Collective Representation-Based Detector with Multiple Features for Hyperspectral Images. Remote. Sens. 13 (4) (2021)
Fei Wang, Quan Wang, Feiping Nie, Zhongheng Li, Weizhong Yu, Rong Wang
Unsupervised Linear Discriminant Analysis for Jointly Clustering and Subspace Learning. IEEE Trans. Knowl. Data Eng. 33 (3) (2021)
Fei Wang, Quan Wang, Feiping Nie, Weizhong Yu, Rong Wang, Zhongheng Li
A forest of trees with principal direction specified oblique split on random subspace. Neurocomputing 379 (2020)
Xiaojun Yang, Weizhong Yu, Rong Wang, Guohao Zhang, Feiping Nie
Fast spectral clustering learning with hierarchical bipartite graph for large-scale data. Pattern Recognit. Lett. 130 (2020)
Fei Wang, Quan Wang, Feiping Nie, Zhongheng Li, Weizhong Yu, Fuji Ren
A linear multivariate binary decision tree classifier based on K-means splitting. Pattern Recognit. 107 (2020)
Fei Wang, Zhongheng Li, Fang He, Rong Wang, Weizhong Yu, Feiping Nie
Feature Learning Viewpoint of Adaboost and a New Algorithm. IEEE Access 7 (2019)
Fei Wang, Zhongheng Li, Fang He, Rong Wang, Weizhong Yu, Feiping Nie
Feature Learning Viewpoint of AdaBoost and a New Algorithm. CoRR (2019)
Fei Wang, Quan Wang, Feiping Nie, Weizhong Yu, Rong Wang
Efficient tree classifiers for large scale datasets. Neurocomputing 284 (2018)
Weizhong Yu, Rong Wang, Feiping Nie, Fei Wang, Qiang Yu, Xiaojun Yang
-norm minimization for dimensionality reduction. Neurocomputing 316 (2018)
Weizhong Yu, Feiping Nie, Fei Wang, Rong Wang, Xuelong Li
Fast and Flexible Large Graph Embedding Based on Anchors. IEEE J. Sel. Top. Signal Process. 12 (6) (2018)
Weizhong Yu, Rong Wang, Feiping Nie, Fei Wang
Multi-view embedded clustering with unsupervised trace ratio LDA. Neurocomputing 315 (2018)
Haojie Hu, Rong Wang, Feiping Nie, Xiaojun Yang, Weizhong Yu
Fast unsupervised feature selection with anchor graph and ℓ 2, 1-norm regularization. Multim. Tools Appl. 77 (17) (2018)
Rong Wang, Feiping Nie, Richang Hong, Xiaojun Chang, Xiaojun Yang, Weizhong Yu
Fast and Orthogonal Locality Preserving Projections for Dimensionality Reduction. IEEE Trans. Image Process. 26 (10) (2017)
Rong Wang, Feiping Nie, Weizhong Yu
Fast Spectral Clustering With Anchor Graph for Large Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 14 (11) (2017)