Weizhong Yu

According to our database, Weizhong Yu authored at least 44 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Fast Anchor Graph Clustering via Maximizing Within-Cluster Similarity.

Fangyuan Xie, Jingjing Xue, Feiping Nie, Weizhong Yu, Xuelong Li

IEEE Trans. Knowl. Data Eng., August, 2025

Reweighted-Boosting: A Gradient-Based Boosting Optimization Framework.

Guanxiong He, Zheng Wang, Liaoyuan Tang, Weizhong Yu, Feiping Nie, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., July, 2025

Pseudo-Label Guided Bidirectional Discriminative Deep Multi-View Subspace Clustering.

Yongbo Yu, Zhoumin Lu, Feiping Nie, Weizhong Yu, Zongcheng Miao, Xuelong Li

IEEE Trans. Knowl. Data Eng., July, 2025

Self-Labeling and Self-Knowledge Distillation Unsupervised Feature Selection.

Yunzhi Ling, Feiping Nie, Weizhong Yu, Xuelong Li

IEEE Trans. Knowl. Data Eng., July, 2025

Unconstrained Fuzzy C-Means Algorithm.

Feiping Nie, Runxin Zhang, Weizhong Yu, Xuelong Li

IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

Nonlinear Locality-Preserving Projections With Dynamic Graph Learning.

Xiaowei Zhao, Dongming Wu, Feiping Nie, Weizhong Yu, Chen Zhao, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., April, 2025

A robust entropy regularized K-means clustering algorithm for processing noise in datasets.

Peilin Jiang, Junnan Cao, Weizhong Yu, Feiping Nie

Neural Comput. Appl., March, 2025

Discriminative and Robust Autoencoders for Unsupervised Feature Selection.

Yunzhi Ling, Feiping Nie, Weizhong Yu, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., January, 2025

PRformer: Pyramidal recurrent transformer for multivariate time series forecasting.

Yongbo Yu, Weizhong Yu, Feiping Nie, Zongcheng Miao, Ya Liu, Xuelong Li

Neural Networks, 2025

Fast Co-clustering via Anchor-guided Label Spreading.

Fangyuan Xie, Feiping Nie, Weizhong Yu, Xuelong Li

Neural Networks, 2025

Fast semi-supervised classification based on anchor graph.

Xinyi Fan, Weizhong Yu, Feiping Nie, Xuelong Li

Inf. Sci., 2025

Bidirectional fusion for deep contrastive multi-view clustering.

Yongbo Yu, Jie Wang, Weizhong Yu, Zihua Zhao, Zongcheng Miao, Feiping Nie

Expert Syst. Appl., 2025

Efficient Anchor Graph Clustering Through Enhanced Within-Cluster Homogeneity.

Fangyuan Xie, Lin Zhao, Jingjing Xue, Feiping Nie, Weizhong Yu, Xuelong Li

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Efficient Co-clustering via Anchor-refined Label Spreading.

Fangyuan Xie, Feiping Nie, Weizhong Yu, Xuelong Li

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Parameter-Insensitive Min Cut Clustering With Flexible Size Constrains.

Feiping Nie, Fangyuan Xie, Weizhong Yu, Xuelong Li

IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

Row-Sparse Principal Component Analysis via Coordinate Descent Method.

Feiping Nie, Qiang Chen, Weizhong Yu, Xuelong Li

IEEE Trans. Knowl. Data Eng., July, 2024

Fast Clustering With Anchor Guidance.

Feiping Nie, Jingjing Xue, Weizhong Yu, Xuelong Li

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Multiview Fuzzy Clustering Based on Anchor Graph.

Weizhong Yu, Liyin Xing, Feiping Nie, Xuelong Li

IEEE Trans. Fuzzy Syst., March, 2024

Robust autoencoder feature selector for unsupervised feature selection.

Yunzhi Ling, Feiping Nie, Weizhong Yu, Yunhao Ling, Xuelong Li

Inf. Sci., March, 2024

Parameter-free ensemble clustering with dynamic weighting mechanism.

Fangyuan Xie, Feiping Nie, Weizhong Yu, Xuelong Li

Pattern Recognit., 2024

Spectral clustering with linear embedding: A discrete clustering method for large-scale data.

Chenhui Gao, Wenzhi Chen, Feiping Nie, Weizhong Yu, Zonghui Wang

Pattern Recognit., 2024

PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting.

Yongbo Yu, Weizhong Yu, Feiping Nie, Xuelong Li

CoRR, 2024

Adaptive Fuzzy C-Means with Graph Embedding.

Qiang Chen, Weizhong Yu, Feiping Nie, Xuelong Li

CoRR, 2024

2023

Rooted Mahalanobis distance based Gustafson-Kessel fuzzy C-means.

Qiang Chen, Weizhong Yu, Xiaowei Zhao, Feiping Nie, Xuelong Li

Inf. Sci., October, 2023

$\ell _{2,p}$-Norm and Mahalanobis Distance-Based Robust Fuzzy C-Means.

Qiang Chen, Feiping Nie, Weizhong Yu, Xuelong Li

IEEE Trans. Fuzzy Syst., September, 2023

Unsupervised Subspace Learning With Flexible Neighboring.

Weizhong Yu, Jintang Bian, Feiping Nie, Rong Wang, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., April, 2023

Fast neighborhood reconstruction with adaptive weights learning.

Xiaowei Zhao, Feiping Nie, Weizhong Yu, Xuelong Li

Knowl. Based Syst., 2023

An efficient semi-supervised balanced cut with hard pairwise constraints and partial labels.

Weizhong Yu, Liyin Xing, Feiping Nie, Xuelong Li

Knowl. Based Syst., 2023

2022

Evaluation of the Efficacy of Statins in the Treatment of Coronary Artery Plaque Using Dual-Source Spiral Computed Tomography Image Features under Deep Learning.

Weizhong Yu, Haixia Ji, Qingjun Tan

Sci. Program., 2022

Subspace clustering by directly solving Discriminative K-means.

Chenhui Gao, Wenzhi Chen, Feiping Nie, Weizhong Yu, Feihu Yan

Knowl. Based Syst., 2022

2021

Unsupervised Linear Discriminant Analysis for Jointly Clustering and Subspace Learning.

Fei Wang, Quan Wang, Feiping Nie, Zhongheng Li, Weizhong Yu, Rong Wang

IEEE Trans. Knowl. Data Eng., 2021

Fast Multi-View Clustering via Nonnegative and Orthogonal Factorization.

Ben Yang, Xuetao Zhang, Feiping Nie, Fei Wang, Weizhong Yu, Rong Wang

IEEE Trans. Image Process., 2021

Random Collective Representation-Based Detector with Multiple Features for Hyperspectral Images.

Zhongheng Li, Fang He, Haojie Hu, Fei Wang, Weizhong Yu

Remote. Sens., 2021

2020

Fast spectral clustering learning with hierarchical bipartite graph for large-scale data.

Xiaojun Yang, Weizhong Yu, Rong Wang, Guohao Zhang, Feiping Nie

Pattern Recognit. Lett., 2020

A linear multivariate binary decision tree classifier based on K-means splitting.

Fei Wang, Quan Wang, Feiping Nie, Zhongheng Li, Weizhong Yu, Fuji Ren

Pattern Recognit., 2020

A forest of trees with principal direction specified oblique split on random subspace.

Fei Wang, Quan Wang, Feiping Nie, Weizhong Yu, Rong Wang, Zhongheng Li

Neurocomputing, 2020

2019

Feature Learning Viewpoint of Adaboost and a New Algorithm.

Fei Wang, Zhongheng Li, Fang He, Rong Wang, Weizhong Yu, Feiping Nie

IEEE Access, 2019

2018

Fast unsupervised feature selection with anchor graph and ℓ 2, 1-norm regularization.

Haojie Hu, Rong Wang, Feiping Nie, Xiaojun Yang, Weizhong Yu

Multim. Tools Appl., 2018

Fast and Flexible Large Graph Embedding Based on Anchors.

Weizhong Yu, Feiping Nie, Fei Wang, Rong Wang, Xuelong Li

IEEE J. Sel. Top. Signal Process., 2018

An improved locality preserving projection with ℓ₁-norm minimization for dimensionality reduction.

Weizhong Yu, Rong Wang, Feiping Nie, Fei Wang, Qiang Yu, Xiaojun Yang

Neurocomputing, 2018

Multi-view embedded clustering with unsupervised trace ratio LDA.

Weizhong Yu, Rong Wang, Feiping Nie, Fei Wang

Neurocomputing, 2018

Efficient tree classifiers for large scale datasets.

Fei Wang, Quan Wang, Feiping Nie, Weizhong Yu, Rong Wang

Neurocomputing, 2018

2017

Fast and Orthogonal Locality Preserving Projections for Dimensionality Reduction.

Rong Wang, Feiping Nie, Richang Hong, Xiaojun Chang, Xiaojun Yang, Weizhong Yu

IEEE Trans. Image Process., 2017

Fast Spectral Clustering With Anchor Graph for Large Hyperspectral Images.

Rong Wang, Feiping Nie, Weizhong Yu

IEEE Geosci. Remote. Sens. Lett., 2017