Weizhong Yu

46 papers Misc 2Journal 44
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Convex Formulation for Fast Semi-Supervised Learning.
IEEE Trans. Knowl. Data Eng.
Xinyi Fan, Weizhong Yu, Feiping Nie, Zongcheng Miao, Xuelong Li
2025 J jnl
A robust entropy regularized K-means clustering algorithm for processing noise in datasets.
Neural Comput. Appl.
Peilin Jiang, Junnan Cao, Weizhong Yu, Feiping Nie
2025 J jnl
Bidirectional fusion for deep contrastive multi-view clustering.
Expert Syst. Appl.
Yongbo Yu, Jie Wang, Weizhong Yu, Zihua Zhao, Zongcheng Miao, Feiping Nie
2025 J jnl
Discriminative and Robust Autoencoders for Unsupervised Feature Selection.
IEEE Trans. Neural Networks Learn. Syst.
Yunzhi Ling, Feiping Nie, Weizhong Yu, Xuelong Li
2025 Misc conf
Efficient Anchor Graph Clustering Through Enhanced Within-Cluster Homogeneity.
ICASSP
Fangyuan Xie, Lin Zhao, Jingjing Xue, Feiping Nie, Weizhong Yu, Xuelong Li
2025 Misc conf
Efficient Co-clustering via Anchor-refined Label Spreading.
ICASSP
Fangyuan Xie, Feiping Nie, Weizhong Yu, Xuelong Li
2025 J jnl
Fast Anchor Graph Clustering via Maximizing Within-Cluster Similarity.
IEEE Trans. Knowl. Data Eng.
Fangyuan Xie, Jingjing Xue, Feiping Nie, Weizhong Yu, Xuelong Li
2025 J jnl
Fast Co-clustering via Anchor-guided Label Spreading.
Neural Networks
Fangyuan Xie, Feiping Nie, Weizhong Yu, Xuelong Li
2025 J jnl
Fast semi-supervised classification based on anchor graph.
Inf. Sci.
Xinyi Fan, Weizhong Yu, Feiping Nie, Xuelong Li
2025 J jnl
Nonlinear Locality-Preserving Projections With Dynamic Graph Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xiaowei Zhao, Dongming Wu, Feiping Nie, Weizhong Yu, Chen Zhao, Xuelong Li
2025 J jnl
PRformer: Pyramidal recurrent transformer for multivariate time series forecasting.
Neural Networks
Yongbo Yu, Weizhong Yu, Feiping Nie, Zongcheng Miao, Ya Liu, Xuelong Li
2025 J jnl
Pseudo-Label Guided Bidirectional Discriminative Deep Multi-View Subspace Clustering.
IEEE Trans. Knowl. Data Eng.
Yongbo Yu, Zhoumin Lu, Feiping Nie, Weizhong Yu, Zongcheng Miao, Xuelong Li
2025 J jnl
Reweighted-Boosting: A Gradient-Based Boosting Optimization Framework.
IEEE Trans. Neural Networks Learn. Syst.
Guanxiong He, Zheng Wang, Liaoyuan Tang, Weizhong Yu, Feiping Nie, Xuelong Li
2025 J jnl
Self-Labeling and Self-Knowledge Distillation Unsupervised Feature Selection.
IEEE Trans. Knowl. Data Eng.
Yunzhi Ling, Feiping Nie, Weizhong Yu, Xuelong Li
2025 J jnl
Unconstrained Fuzzy C-Means Algorithm.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Runxin Zhang, Weizhong Yu, Xuelong Li
2024 J jnl
Adaptive Fuzzy C-Means with Graph Embedding.
CoRR
Qiang Chen, Weizhong Yu, Feiping Nie, Xuelong Li
2024 J jnl
Fast Clustering With Anchor Guidance.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Jingjing Xue, Weizhong Yu, Xuelong Li
2024 J jnl
Multiview Fuzzy Clustering Based on Anchor Graph.
IEEE Trans. Fuzzy Syst.
Weizhong Yu, Liyin Xing, Feiping Nie, Xuelong Li
2024 J jnl
PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting.
CoRR
Yongbo Yu, Weizhong Yu, Feiping Nie, Xuelong Li
2024 J jnl
Parameter-Insensitive Min Cut Clustering With Flexible Size Constrains.
IEEE Trans. Pattern Anal. Mach. Intell.
Feiping Nie, Fangyuan Xie, Weizhong Yu, Xuelong Li
2024 J jnl
Parameter-free ensemble clustering with dynamic weighting mechanism.
Pattern Recognit.
Fangyuan Xie, Feiping Nie, Weizhong Yu, Xuelong Li
2024 J jnl
Robust autoencoder feature selector for unsupervised feature selection.
Inf. Sci.
Yunzhi Ling, Feiping Nie, Weizhong Yu, Yunhao Ling, Xuelong Li
2024 J jnl
Row-Sparse Principal Component Analysis via Coordinate Descent Method.
IEEE Trans. Knowl. Data Eng.
Feiping Nie, Qiang Chen, Weizhong Yu, Xuelong Li
2024 J jnl
Spectral clustering with linear embedding: A discrete clustering method for large-scale data.
Pattern Recognit.
Chenhui Gao, Wenzhi Chen, Feiping Nie, Weizhong Yu, Zonghui Wang
2023 J jnl
$\ell _{2,p}$-Norm and Mahalanobis Distance-Based Robust Fuzzy C-Means.
IEEE Trans. Fuzzy Syst.
Qiang Chen, Feiping Nie, Weizhong Yu, Xuelong Li
2023 J jnl
An efficient semi-supervised balanced cut with hard pairwise constraints and partial labels.
Knowl. Based Syst.
Weizhong Yu, Liyin Xing, Feiping Nie, Xuelong Li
2023 J jnl
Fast neighborhood reconstruction with adaptive weights learning.
Knowl. Based Syst.
Xiaowei Zhao, Feiping Nie, Weizhong Yu, Xuelong Li
2023 J jnl
Rooted Mahalanobis distance based Gustafson-Kessel fuzzy C-means.
Inf. Sci.
Qiang Chen, Weizhong Yu, Xiaowei Zhao, Feiping Nie, Xuelong Li
2023 J jnl
Unsupervised Subspace Learning With Flexible Neighboring.
IEEE Trans. Neural Networks Learn. Syst.
Weizhong Yu, Jintang Bian, Feiping Nie, Rong Wang, Xuelong Li
2022 J jnl
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.
Weizhong Yu, Haixia Ji, Qingjun Tan
2022 J jnl
Subspace clustering by directly solving Discriminative K-means.
Knowl. Based Syst.
Chenhui Gao, Wenzhi Chen, Feiping Nie, Weizhong Yu, Feihu Yan
2021 J jnl
Fast Multi-View Clustering via Nonnegative and Orthogonal Factorization.
IEEE Trans. Image Process.
Ben Yang, Xuetao Zhang, Feiping Nie, Fei Wang, Weizhong Yu, Rong Wang
2021 J jnl
Random Collective Representation-Based Detector with Multiple Features for Hyperspectral Images.
Remote. Sens.
Zhongheng Li, Fang He, Haojie Hu, Fei Wang, Weizhong Yu
2021 J jnl
Unsupervised Linear Discriminant Analysis for Jointly Clustering and Subspace Learning.
IEEE Trans. Knowl. Data Eng.
Fei Wang, Quan Wang, Feiping Nie, Zhongheng Li, Weizhong Yu, Rong Wang
2020 J jnl
A forest of trees with principal direction specified oblique split on random subspace.
Neurocomputing
Fei Wang, Quan Wang, Feiping Nie, Weizhong Yu, Rong Wang, Zhongheng Li
2020 J jnl
A linear multivariate binary decision tree classifier based on K-means splitting.
Pattern Recognit.
Fei Wang, Quan Wang, Feiping Nie, Zhongheng Li, Weizhong Yu, Fuji Ren
2020 J jnl
Fast spectral clustering learning with hierarchical bipartite graph for large-scale data.
Pattern Recognit. Lett.
Xiaojun Yang, Weizhong Yu, Rong Wang, Guohao Zhang, Feiping Nie
2019 J jnl
Feature Learning Viewpoint of AdaBoost and a New Algorithm.
CoRR
Fei Wang, Zhongheng Li, Fang He, Rong Wang, Weizhong Yu, Feiping Nie
2019 J jnl
Feature Learning Viewpoint of Adaboost and a New Algorithm.
IEEE Access
Fei Wang, Zhongheng Li, Fang He, Rong Wang, Weizhong Yu, Feiping Nie
2018 J jnl
An improved locality preserving projection with ℓ
Neurocomputing
Weizhong Yu, Rong Wang, Feiping Nie, Fei Wang, Qiang Yu, Xiaojun Yang
2018 J jnl
Efficient tree classifiers for large scale datasets.
Neurocomputing
Fei Wang, Quan Wang, Feiping Nie, Weizhong Yu, Rong Wang
2018 J jnl
Fast and Flexible Large Graph Embedding Based on Anchors.
IEEE J. Sel. Top. Signal Process.
Weizhong Yu, Feiping Nie, Fei Wang, Rong Wang, Xuelong Li
2018 J jnl
Fast unsupervised feature selection with anchor graph and ℓ 2, 1-norm regularization.
Multim. Tools Appl.
Haojie Hu, Rong Wang, Feiping Nie, Xiaojun Yang, Weizhong Yu
2018 J jnl
Multi-view embedded clustering with unsupervised trace ratio LDA.
Neurocomputing
Weizhong Yu, Rong Wang, Feiping Nie, Fei Wang
2017 J jnl
Fast Spectral Clustering With Anchor Graph for Large Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett.
Rong Wang, Feiping Nie, Weizhong Yu
2017 J jnl
Fast and Orthogonal Locality Preserving Projections for Dimensionality Reduction.
IEEE Trans. Image Process.
Rong Wang, Feiping Nie, Richang Hong, Xiaojun Chang, Xiaojun Yang, Weizhong Yu