Fast Spectral Clustering With Anchor Graph for Large Hyperspectral Images. - Rong Wang 001; Feiping Nie 001; Weizhong Yu (IEEE Geosci. Remote. Sens. Lett., 2017)

Fast and Orthogonal Locality Preserving Projections for Dimensionality Reduction. - Rong Wang 001; Feiping Nie 001; Richang Hong; Xiaojun Chang; Xiaojun Yang; Weizhong Yu (IEEE Trans. Image Process., 2017)

Efficient tree classifiers for large scale datasets. - Fei Wang 008; Quan Wang; Feiping Nie 001; Weizhong Yu; Rong Wang 001 (Neurocomputing, 2018)

Multi-view embedded clustering with unsupervised trace ratio LDA. - Weizhong Yu; Rong Wang 001; Feiping Nie 001; Fei Wang 008 (Neurocomputing, 2018)

An improved locality preserving projection with ℓ1-norm minimization for dimensionality reduction. - Weizhong Yu; Rong Wang 001; Feiping Nie 001; Fei Wang 008; Qiang Yu; Xiaojun Yang (Neurocomputing, 2018)

Fast and Flexible Large Graph Embedding Based on Anchors. - Weizhong Yu; Feiping Nie 001; Fei Wang 008; Rong Wang 001; Xuelong Li 001 (IEEE J. Sel. Top. Signal Process., 2018)

Fast unsupervised feature selection with anchor graph and ℓ 2, 1-norm regularization. - Haojie Hu; Rong Wang 001; Feiping Nie 001; Xiaojun Yang; Weizhong Yu (Multim. Tools Appl., 2018)

Feature Learning Viewpoint of Adaboost and a New Algorithm. - Fei Wang 008; Zhongheng Li; Fang He; Rong Wang 001; Weizhong Yu; Feiping Nie 001 (IEEE Access, 2019)

A forest of trees with principal direction specified oblique split on random subspace. - Fei Wang 008; Quan Wang; Feiping Nie 001; Weizhong Yu; Rong Wang 001; Zhongheng Li (Neurocomputing, 2020)

A linear multivariate binary decision tree classifier based on K-means splitting. - Fei Wang 008; Quan Wang; Feiping Nie 001; Zhongheng Li; Weizhong Yu; Fuji Ren (Pattern Recognit., 2020)

Fast spectral clustering learning with hierarchical bipartite graph for large-scale data. - Xiaojun Yang; Weizhong Yu; Rong Wang 001; Guohao Zhang; Feiping Nie 001 (Pattern Recognit. Lett., 2020)

Random Collective Representation-Based Detector with Multiple Features for Hyperspectral Images. - Zhongheng Li; Fang He; Haojie Hu; Fei Wang 008; Weizhong Yu (Remote. Sens., 2021)

Fast Multi-View Clustering via Nonnegative and Orthogonal Factorization. - Ben Yang; Xuetao Zhang 001; Feiping Nie 001; Fei Wang 008; Weizhong Yu; Rong Wang 001 (IEEE Trans. Image Process., 2021)

Unsupervised Linear Discriminant Analysis for Jointly Clustering and Subspace Learning. - Fei Wang 008; Quan Wang; Feiping Nie 001; Zhongheng Li; Weizhong Yu; Rong Wang 001 (IEEE Trans. Knowl. Data Eng., 2021)

Subspace clustering by directly solving Discriminative K-means. - Chenhui Gao; Wenzhi Chen; Feiping Nie 001; Weizhong Yu; Feihu Yan (Knowl. Based Syst., 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)

An efficient semi-supervised balanced cut with hard pairwise constraints and partial labels. - Weizhong Yu; Liyin Xing; Feiping Nie 001; Xuelong Li 001 (Knowl. Based Syst., 2023)

Fast neighborhood reconstruction with adaptive weights learning. - Xiaowei Zhao 002; Feiping Nie 001; Weizhong Yu; Xuelong Li 001 (Knowl. Based Syst., 2023)

Unsupervised Subspace Learning With Flexible Neighboring. - Weizhong Yu; Jintang Bian; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

$ ell _{2,p}$-Norm and Mahalanobis Distance-Based Robust Fuzzy C-Means. - Qiang Chen; Feiping Nie 001; Weizhong Yu; Xuelong Li 001 (IEEE Trans. Fuzzy Syst., 2023)

Rooted Mahalanobis distance based Gustafson-Kessel fuzzy C-means. - Qiang Chen; Weizhong Yu; Xiaowei Zhao 002; Feiping Nie 001; Xuelong Li 001 (Inf. Sci., 2023)

Adaptive Fuzzy C-Means with Graph Embedding. - Qiang Chen; Weizhong Yu; Feiping Nie 001; Xuelong Li 001 (CoRR, 2024)

PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting. - Yongbo Yu; Weizhong Yu; Feiping Nie 001; Xuelong Li 001 (CoRR, 2024)

Spectral clustering with linear embedding: A discrete clustering method for large-scale data. - Chenhui Gao; Wenzhi Chen; Feiping Nie 001; Weizhong Yu; Zonghui Wang (Pattern Recognit., 2024)

Parameter-free ensemble clustering with dynamic weighting mechanism. - Fangyuan Xie; Feiping Nie 001; Weizhong Yu; Xuelong Li 001 (Pattern Recognit., 2024)

Robust autoencoder feature selector for unsupervised feature selection. - Yunzhi Ling; Feiping Nie 001; Weizhong Yu; Yunhao Ling; Xuelong Li 001 (Inf. Sci., 2024)

Multiview Fuzzy Clustering Based on Anchor Graph. - Weizhong Yu; Liyin Xing; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Fuzzy Syst., 2024)

Fast Clustering With Anchor Guidance. - Feiping Nie 001; Jingjing Xue; Weizhong Yu; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Row-Sparse Principal Component Analysis via Coordinate Descent Method. - Feiping Nie 001; Qiang Chen; Weizhong Yu; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Parameter-Insensitive Min Cut Clustering With Flexible Size Constrains. - Feiping Nie 001; Fangyuan Xie; Weizhong Yu; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Efficient Co-clustering via Anchor-refined Label Spreading. - Fangyuan Xie; Feiping Nie 001; Weizhong Yu; Xuelong Li 001 (ICASSP, 2025)

Efficient Anchor Graph Clustering Through Enhanced Within-Cluster Homogeneity. - Fangyuan Xie; Lin Zhao 003; Jingjing Xue; Feiping Nie 001; Weizhong Yu; Xuelong Li 001 (ICASSP, 2025)

Bidirectional fusion for deep contrastive multi-view clustering. - Yongbo Yu; Jie Wang 024; Weizhong Yu; Zihua Zhao; Zongcheng Miao; Feiping Nie 001 (Expert Syst. Appl., 2025)

Fast semi-supervised classification based on anchor graph. - Xinyi Fan; Weizhong Yu; Feiping Nie 001; Xuelong Li 001 (Inf. Sci., 2025)

Fast Co-clustering via Anchor-guided Label Spreading. - Fangyuan Xie; Feiping Nie 001; Weizhong Yu; Xuelong Li 001 (Neural Networks, 2025)

PRformer: Pyramidal recurrent transformer for multivariate time series forecasting. - Yongbo Yu; Weizhong Yu; Feiping Nie 001; Zongcheng Miao; Ya Liu; Xuelong Li 001 (Neural Networks, 2025)

Discriminative and Robust Autoencoders for Unsupervised Feature Selection. - Yunzhi Ling; Feiping Nie 001; Weizhong Yu; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

A robust entropy regularized K-means clustering algorithm for processing noise in datasets. - Peilin Jiang; Junnan Cao; Weizhong Yu; Feiping Nie 001 (Neural Comput. Appl., 2025)

Nonlinear Locality-Preserving Projections With Dynamic Graph Learning. - Xiaowei Zhao 002; Dongming Wu; Feiping Nie 001; Weizhong Yu; Chen Zhao 009; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Unconstrained Fuzzy C-Means Algorithm. - Feiping Nie 001; Runxin Zhang; Weizhong Yu; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Self-Labeling and Self-Knowledge Distillation Unsupervised Feature Selection. - Yunzhi Ling; Feiping Nie 001; Weizhong Yu; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2025)

Pseudo-Label Guided Bidirectional Discriminative Deep Multi-View Subspace Clustering. - Yongbo Yu; Zhoumin Lu; Feiping Nie 001; Weizhong Yu; Zongcheng Miao; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2025)

Reweighted-Boosting: A Gradient-Based Boosting Optimization Framework. - Guanxiong He; Zheng Wang 037; Liaoyuan Tang; Weizhong Yu; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Fast Anchor Graph Clustering via Maximizing Within-Cluster Similarity. - Fangyuan Xie; Jingjing Xue; Feiping Nie 001; Weizhong Yu; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2025)