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2020 – today
- 2024
[j28]Yunzhi Ling, Feiping Nie, Weizhong Yu, Yunhao Ling, Xuelong Li:
Robust autoencoder feature selector for unsupervised feature selection. Inf. Sci. 660: 120121 (2024)- [j27]Feiping Nie
, Jingjing Xue, Weizhong Yu, Xuelong Li:
Fast Clustering With Anchor Guidance. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 1898-1912 (2024) - [j26]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): 5479-5492 (2024) - [j25]Fangyuan Xie, Feiping Nie, Weizhong Yu, Xuelong Li:
Parameter-free ensemble clustering with dynamic weighting mechanism. Pattern Recognit. 151: 110389 (2024) - [j24]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: 110396 (2024) - [j23]Weizhong Yu, Liyin Xing, Feiping Nie, Xuelong Li:
Multiview Fuzzy Clustering Based on Anchor Graph. IEEE Trans. Fuzzy Syst. 32(3): 755-766 (2024) - [j22]Feiping Nie, Qiang Chen, Weizhong Yu, Xuelong Li:
Row-Sparse Principal Component Analysis via Coordinate Descent Method. IEEE Trans. Knowl. Data Eng. 36(7): 3460-3471 (2024) - [i3]Qiang Chen, Weizhong Yu, Feiping Nie, Xuelong Li:
Adaptive Fuzzy C-Means with Graph Embedding. CoRR abs/2405.13427 (2024) - [i2]Yongbo Yu, Weizhong Yu, Feiping Nie, Xuelong Li:
PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting. CoRR abs/2408.10483 (2024) - 2023
- [j21]Qiang Chen, Weizhong Yu, Xiaowei Zhao, Feiping Nie, Xuelong Li:
Rooted Mahalanobis distance based Gustafson-Kessel fuzzy C-means. Inf. Sci. 644: 118878 (2023) - [j20]Xiaowei Zhao, Feiping Nie, Weizhong Yu, Xuelong Li:
Fast neighborhood reconstruction with adaptive weights learning. Knowl. Based Syst. 259: 110082 (2023) - [j19]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: 110747 (2023) - [j18]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): 2904-2916 (2023) - [j17]Weizhong Yu, Jintang Bian, Feiping Nie, Rong Wang, Xuelong Li:
Unsupervised Subspace Learning With Flexible Neighboring. IEEE Trans. Neural Networks Learn. Syst. 34(4): 2043-2056 (2023) - 2022
- [j16]Chenhui Gao, Wenzhi Chen, Feiping Nie, Weizhong Yu, Feihu Yan:
Subspace clustering by directly solving Discriminative K-means. Knowl. Based Syst. 252: 109452 (2022) - [j15]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: 1810712:1-1810712:9 (2022) - 2021
- [j14]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): 721 (2021) - [j13]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: 2575-2586 (2021) - [j12]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): 1276-1290 (2021) - 2020
- [j11]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: 413-425 (2020) - [j10]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: 107521 (2020) - [j9]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: 345-352 (2020)
2010 – 2019
- 2019
- [j8]Fei Wang, Zhongheng Li, Fang He, Rong Wang, Weizhong Yu, Feiping Nie:
Feature Learning Viewpoint of Adaboost and a New Algorithm. IEEE Access 7: 149890-149899 (2019) - [i1]Fei Wang, Zhongheng Li, Fang He, Rong Wang, Weizhong Yu, Feiping Nie:
Feature Learning Viewpoint of AdaBoost and a New Algorithm. CoRR abs/1904.03953 (2019) - 2018
- [j7]Fei Wang, Quan Wang, Feiping Nie, Weizhong Yu, Rong Wang:
Efficient tree classifiers for large scale datasets. Neurocomputing 284: 70-79 (2018) - [j6]Weizhong Yu, Rong Wang, Feiping Nie, Fei Wang:
Multi-view embedded clustering with unsupervised trace ratio LDA. Neurocomputing 315: 169-176 (2018) - [j5]Weizhong Yu, Rong Wang, Feiping Nie, Fei Wang, Qiang Yu, Xiaojun Yang:
An improved locality preserving projection with ℓ1-norm minimization for dimensionality reduction. Neurocomputing 316: 322-331 (2018) - [j4]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): 1465-1475 (2018) - [j3]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): 22099-22113 (2018) - 2017
- [j2]Rong Wang, Feiping Nie, Weizhong Yu:
Fast Spectral Clustering With Anchor Graph for Large Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 14(11): 2003-2007 (2017) - [j1]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): 5019-5030 (2017)
Coauthor Index
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