Interference cancellation in GPS receiver using noise subspace tracking algorithm. - Rong Wang 001; Minli Yao; Zhu Cheng; Hongxing Zou (Signal Process., 2011)

Stable and Orthonormal OJA Algorithm With Low Complexity. - Rong Wang 001; Minli Yao; Daoming Zhang; Hongxing Zou (IEEE Signal Process. Lett., 2011)

A Novel Orthonormalization Matrix Based Fast and Stable DPM Algorithm for Principal and Minor Subspace Tracking. - Rong Wang 001; Minli Yao; Daoming Zhang; Hongxing Zou (IEEE Trans. Signal Process., 2012)

An Unambiguous Tracking Method Based on Pseudo Correlation Function for AltBOC(15, 10) Signal. - Huihua Chen; Rong Wang 001; Weimin Jia; Jiawei Ren; Minli Yao (Wirel. Pers. Commun., 2013)

Robust 2DPCA With Non-greedy ℓ1-Norm Maximization for Image Analysis. - Rong Wang 001; Feiping Nie 001; Xiaojun Yang; Feifei Gao; Minli Yao (IEEE Trans. Cybern., 2015)

Selective Level Set Segmentation Using Fuzzy Region Competition. - Bing Nan Li; Jing Qin 001; Rong Wang 001; Meng Wang 001; Xuelong Li 001 (IEEE Access, 2016)

Diagonal principal component analysis with non-greedy ℓ1-norm maximization for face recognition. - Qiang Yu; Rong Wang 001; Xiaojun Yang; Bing Nan Li; Minli Yao (Neurocomputing, 2016)

Block Principal Component Analysis With Nongreedy ℓ1-Norm Maximization. - Bing Nan Li; Qiang Yu; Rong Wang 001; Kui Xiang; Meng Wang 001; Xuelong Li 001 (IEEE Trans. Cybern., 2016)

Robust Locality Preserving Projections With Cosine-Based Dissimilarity for Linear Dimensionality Reduction. - Qiang Yu; Rong Wang 001; Bing Nan Li; Xiaojun Yang; Minli Yao (IEEE Access, 2017)

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)

Stable and orthogonal local discriminant embedding using trace ratio criterion for dimensionality reduction. - Xiaojun Yang; Gang Liu; Qiang Yu; Rong Wang 001 (Multim. Tools Appl., 2018)

Deep Learning Based Exploring Channel Reciprocity Method in FDD Systems. - Jie Wang 024; Guan Gui 001; Rong Wang 001; Yue Yin; Hao Huang 008; Yu Wang 078 (CSPS, 2019)

Robust Subspace Clustering by Learning an Optimal Structured Bipartite Graph via Low-rank Representation. - Wei Chang 002; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (ICASSP, 2019)

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)

An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms. - Feiping Nie 001; Zhanxuan Hu; Xiaoqian Wang 001; Rong Wang 001; Xuelong Li 001; Heng Huang (CoRR, 2019)

Scalable and Flexible Unsupervised Feature Selection. - Haojie Hu; Rong Wang 001; Xiaojun Yang; Feiping Nie 001 (Neural Comput., 2019)

Scalable Graph-Based Clustering With Nonnegative Relaxation for Large Hyperspectral Image. - Rong Wang 001; Feiping Nie 001; Zhen Wang 004; Fang He; Xuelong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

Fast Clustering With Co-Clustering Via Discrete Non-Negative Matrix Factorization for Image Identification. - Feiping Nie 001; Shenfei Pei; Rong Wang 001; Xuelong Li 001 (ICASSP, 2020)

Revisiting Fast Spectral Clustering with Anchor Graph. - Cheng-Long Wang 003; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (ICASSP, 2020)

Multi-View Clustering Via Mixed Embedding Approximation. - Danyang Wu; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (ICASSP, 2020)

Semi-supervised Clustering via Pairwise Constrained Optimal Graph. - Feiping Nie 001; Han Zhang 012; Rong Wang 001; Xuelong Li 001 (IJCAI, 2020)

Discriminative Feature Selection via A Structured Sparse Subspace Learning Module. - Zheng Wang 037; Feiping Nie 001; Lai Tian; Rong Wang 001; Xuelong Li 001 (IJCAI, 2020)

Efficient Clustering Based On A Unified View Of $K$-means And Ratio-cut. - Shenfei Pei; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (NeurIPS, 2020)

Multi-view spectral clustering via sparse graph learning. - Zhanxuan Hu; Feiping Nie 001; Wei Chang 002; Shuzheng Hao; Rong Wang 001; Xuelong Li 001 (Neurocomputing, 2020)

Auto-weighted multi-view clustering via spectral embedding. - Shaojun Shi; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Neurocomputing, 2020)

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)

Multi-view spectral clustering via integrating nonnegative embedding and spectral embedding. - Zhanxuan Hu; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Inf. Fusion, 2020)

Fast semi-supervised learning with anchor graph for large hyperspectral images. - Fang He; Rong Wang 001; Weimin Jia (Pattern Recognit. Lett., 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)

Self-weighted collaborative representation for hyperspectral anomaly detection. - Rong Wang 001; Haojie Hu; Fang He; Feiping Nie 001; Shubin Cai; Zhong Ming 001 (Signal Process., 2020)

Capped ℓp-Norm LDA for Outliers Robust Dimension Reduction. - Zheng Wang 037; Feiping Nie 001; Canyu Zhang; Rong Wang 001; Xuelong Li 001 (IEEE Signal Process. Lett., 2020)

Double-Attentive Principle Component Analysis. - Danyang Wu; Han Zhang 012; Feiping Nie 001; Rong Wang 001; Chao Yang; Xiaoxue Jia; Xuelong Li 001 (IEEE Signal Process. Lett., 2020)

Submanifold-Preserving Discriminant Analysis With an Auto-Optimized Graph. - Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Cybern., 2020)

Multiple Features and Isolation Forest-Based Fast Anomaly Detector for Hyperspectral Imagery. - Rong Wang 001; Feiping Nie 001; Zhen Wang 004; Fang He; Xuelong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

Adaptive Local Linear Discriminant Analysis. - Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Zhen Wang 004; Xuelong Li 001 (ACM Trans. Knowl. Discov. Data, 2020)

Multiview Semi-Supervised Learning Model for Image Classification. - Feiping Nie 001; Lai Tian; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2020)

Parameter-Free Weighted Multi-View Projected Clustering with Structured Graph Learning. - Rong Wang 001; Feiping Nie 001; Zhen Wang 004; Haojie Hu; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2020)

Fast Semisupervised Learning With Bipartite Graph for Large-Scale Data. - Fang He; Feiping Nie 001; Rong Wang 001; Xuelong Li 001; Weimin Jia (IEEE Trans. Neural Networks Learn. Syst., 2020)

Self-Weighted Clustering With Adaptive Neighbors. - Feiping Nie 001; Danyang Wu; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

New Tight Relaxations of Rank Minimization for Multi-Task Learning. - Wei Chang 002; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (CIKM, 2021)

Dependence-Guided Multi-View Clustering. - Xia Dong; Danyang Wu; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (ICASSP, 2021)

A Rank-Constrained Clustering Algorithm with Adaptive Embedding. - Shenfei Pei; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (ICASSP, 2021)

Fast Local Representation Learning with Adaptive Anchor Graph. - Canyu Zhang; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (ICASSP, 2021)

Discrete Multiple Kernel k-means. - Rong Wang 001; Jitao Lu; Yihang Lu; Feiping Nie 001; Xuelong Li 001 (IJCAI, 2021)

GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data. - Danyang Wu; Jin Xu 014; Xia Dong; Meng Liao; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (IJCAI, 2021)

Ensemble and Random Collaborative Representation-Based Anomaly Detector for Hyperspectral Imagery. - Rong Wang 001; Wei Feng; Qianrong Zhang; Feiping Nie 001; Zhen Wang 004; Xuelong Li 001 (CoRR, 2021)

An Efficient Density-based clustering algorithm for face groping. - Shenfei Pei; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Neurocomputing, 2021)

Multi-view clustering with interactive mechanism. - Danyang Wu; Zhanxuan Hu; Feiping Nie 001; Rong Wang 001; Hui Yang 005; Xuelong Li 001 (Neurocomputing, 2021)

Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection. - Han Zhang 012; Danyang Wu; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Inf. Fusion, 2021)

Learning to hash based on angularly discriminative embedding. - Zhanxuan Hu; Shuzheng Hao; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Inf. Sci., 2021)

Generalization bottleneck in deep metric learning. - Zhanxuan Hu; Danyang Wu; Feiping Nie 001; Rong Wang 001 (Inf. Sci., 2021)

Matrix completion with column outliers and sparse noise. - Ziheng Li; Zhanxuan Hu; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Inf. Sci., 2021)

Fast local representation learning via adaptive anchor graph for image retrieval. - Canyu Zhang; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (Inf. Sci., 2021)

Ratio sum formula for dimensionality reduction. - Ke Liang; Xiaojun Yang; Yuxiong Xu; Rong Wang 001; Feiping Nie 001 (Multim. Tools Appl., 2021)

Low Rank Regularization: A review. - Zhanxuan Hu; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Neural Networks, 2021)

Towards Robust Discriminative Projections Learning via Non-Greedy $ ell _{2, 1}$ℓ2, 1-Norm MinMax. - Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Zhen Wang 004; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Large Graph Clustering With Simultaneous Spectral Embedding and Discretization. - Zhen Wang 004; Zhaoqing Li; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Local structured feature learning with dynamic maximum entropy graph. - Zheng Wang 037; Feiping Nie 001; Rong Wang 001; Hui Yang 005; Xuelong Li 001 (Pattern Recognit., 2021)

Joint nonlinear feature selection and continuous values regression network. - Zheng Wang 037; Feiping Nie 001; Canyu Zhang; Rong Wang 001; Xuelong Li 001 (Pattern Recognit. Lett., 2021)

Multi-Directional Multi-Label Learning. - Danyang Wu; Shenfei Pei; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Signal Process., 2021)

Adaptive Flexible Optimal Graph for Unsupervised Dimensionality Reduction. - Hong Chen 015; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Signal Process. Lett., 2021)

Multi-View Clustering Based on Invisible Weights. - Ziheng Li; Danyang Wu; Feiping Nie 001; Rong Wang 001; Zhensheng Sun; Xuelong Li 001 (IEEE Signal Process. Lett., 2021)

Celiac Disease Detection From Videocapsule Endoscopy Images Using Strip Principal Component Analysis. - Bing Nan Li; Xinle Wang; Rong Wang 001; Teng Zhou; Rongke Gao; Edward J. Ciaccio; Peter H. R. Green (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Semisupervised Band Selection With Graph Optimization for Hyperspectral Image Classification. - Fang He; Feiping Nie 001; Rong Wang 001; Weimin Jia; Fenggan Zhang; Xuelong Li 001 (IEEE Trans. Geosci. 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)

Fast Semi-Supervised Learning With Optimal Bipartite Graph. - Fang He; Feiping Nie 001; Rong Wang 001; Haojie Hu; Weimin Jia; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 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)

Scalable Multiple Kernel k-means Clustering. - Yihang Lu; Haonan Xin; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (CIKM, 2022)

Self-Paced and Discrete Multiple Kernel k-Means. - Yihang Lu; Xuan Zheng; Jitao Lu; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (CIKM, 2022)

Discrete Multi-Kernel K-Means with Diverse and Optimal Kernel Learning. - Yihang Lu; Jitao Lu; Rong Wang 001; Feiping Nie 001 (ICASSP, 2022)

Multiple Kernel K-Means Clustering with Simultaneous Spectral Rotation. - Jitao Lu; Yihang Lu; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (ICASSP, 2022)

A Unified Framework for Discrete Multi-kernel k-means with Kernel Diversity Regularization. - Yihang Lu; Xuan Zheng; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (ICPR, 2022)

EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion. - Danyang Wu; Jitao Lu; Feiping Nie 001; Rong Wang 001; Yuan Yuan 001 (IJCAI, 2022)

On the Global Solution of Soft k-Means. - Feiping Nie 001; Hong Chen 015; Rong Wang 001; Xuelong Li 001 (CoRR, 2022)

Multi-view clustering based on generalized low rank approximation. - Ziheng Li; Zhanxuan Hu; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Neurocomputing, 2022)

Semi-supervised learning based on intra-view heterogeneity and inter-view compatibility for image classification. - Shaojun Shi; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Neurocomputing, 2022)

When multi-view classification meets ensemble learning. - Shaojun Shi; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Neurocomputing, 2022)

Capped ℓp-norm linear discriminant analysis for robust projections learning. - Zheng Wang 037; Haojie Hu; Rong Wang 001; Qianrong Zhang; Feiping Nie 001; Xuelong Li 001 (Neurocomputing, 2022)

Improving projected fuzzy K-means clustering via robust learning. - Xiaowei Zhao 002; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Neurocomputing, 2022)

Multi-view clustering with adaptive procrustes on Grassmann manifold. - Xia Dong; Danyang Wu; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Inf. Sci., 2022)

Fast unsupervised embedding learning with anchor-based graph. - Canyu Zhang; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Inf. Sci., 2022)

A portable clustering algorithm based on compact neighbors for face tagging. - Shenfei Pei; Yuze Zhang; Rong Wang 001; Feiping Nie 001 (Neural Networks, 2022)

Multiview Clustering: A Scalable and Parameter-Free Bipartite Graph Fusion Method. - Xuelong Li 001; Han Zhang 012; Rong Wang 001; Feiping Nie 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Truncated Robust Principle Component Analysis With A General Optimization Framework. - Feiping Nie 001; Danyang Wu; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Coordinate Descent Method for $k$k-means. - Feiping Nie 001; Jingjing Xue; Danyang Wu; Rong Wang 001; Hui Li; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Fast Locality Discriminant Analysis With Adaptive Manifold Embedding. - Feiping Nie 001; Xiaowei Zhao 002; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Self-weighted learning framework for adaptive locality discriminant analysis. - Wei Chang 002; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (Pattern Recognit., 2022)

Self-weighting multi-view spectral clustering based on nuclear norm. - Shaojun Shi; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Pattern Recognit., 2022)

Adaptive-order proximity learning for graph-based clustering. - Danyang Wu; Wei Chang 002; Jitao Lu; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Pattern Recognit., 2022)

An attention-based framework for multi-view clustering on Grassmann manifold. - Danyang Wu; Xia Dong; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Pattern Recognit., 2022)

A general soft-balanced clustering framework based on a novel balance regularizer. - Huimin Chen; Qianrong Zhang; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (Signal Process., 2022)

Fast Adaptive Local Subspace Learning With Regressive Regularization. - Qiang Chen; Xiaowei Zhao 002; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Signal Process. Lett., 2022)

Balanced Graph Cut With Exponential Inter-Cluster Compactness. - Danyang Wu; Feiping Nie 001; Jitao Lu; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Artif. Intell., 2022)

Robust Matrix Completion With Column Outliers. - Feiping Nie 001; Ziheng Li; Zhanxuan Hu; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Cybern., 2022)

Subspace Sparse Discriminative Feature Selection. - Feiping Nie 001; Zheng Wang 037; Lai Tian; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Cybern., 2022)

Fast Fuzzy Clustering Based on Anchor Graph. - Feiping Nie 001; Chaodie Liu; Rong Wang 001; Zhen Wang 004; Xuelong Li 001 (IEEE Trans. Fuzzy Syst., 2022)

Iteratively Reweighted Algorithm for Fuzzy $c$-Means. - Jingjing Xue; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Fuzzy Syst., 2022)

Discrete and Parameter-Free Multiple Kernel k-Means. - Rong Wang 001; Jitao Lu; Yihang Lu; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Image Process., 2022)

Adaptive Local Embedding Learning for Semi-Supervised Dimensionality Reduction. - Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2022)

Fuzzy K-Means Clustering With Discriminative Embedding. - Feiping Nie 001; Xiaowei Zhao 002; Rong Wang 001; Xuelong Li 001; Zhihui Li 001 (IEEE Trans. Knowl. Data Eng., 2022)

Unsupervised Discriminative Projection for Feature Selection. - Rong Wang 001; Jintang Bian; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2022)

Unsupervised Feature Selection With Constrained ℓ₂, ₀-Norm and Optimized Graph. - Feiping Nie 001; Xia Dong; Lai Tian; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Parameter-Free Consensus Embedding Learning for Multiview Graph-Based Clustering. - Danyang Wu; Feiping Nie 001; Xia Dong; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Efficient Top-K Feature Selection Using Coordinate Descent Method. - Lei Xu 028; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (AAAI, 2023)

Multi-View K-Means with Laplacian Embedding. - Zhezheng Hao; Zhoumin Lu; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (ICASSP, 2023)

Semi-Supervised Top-k Feature Selection with a General Optimization Framework. - Lei Xu 028; Rong Wang 001; Feiping Nie 001; Jun Wu; Xuelong Li 001 (ICME, 2023)

Multi-view Graph Clustering via Efficient Global-Local Spectral Embedding Fusion. - Penglei Wang; Danyang Wu; Rong Wang 001; Feiping Nie 001 (ACM Multimedia, 2023)

Joint Feature and Differentiable k-NN Graph Learning using Dirichlet Energy. - Lei Xu 028; Lei Chen 011; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (NeurIPS, 2023)

Max-Min Robust Principal Component Analysis. - Sisi Wang; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (Neurocomputing, 2023)

Calibrated multi-task subspace learning via binary group structure constraint. - Wei Chang 002; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Inf. Sci., 2023)

Centerless Clustering. - Shenfei Pei; Huimin Chen; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Ensemble and random collaborative representation-based anomaly detector for hyperspectral imagery. - Yihang Lu; Xuan Zheng; Haonan Xin; Haoliang Tang; Rong Wang 001; Feiping Nie 001 (Signal Process., 2023)

Self-Weighted Euler $k$-Means Clustering. - Haonan Xin; Yihang Lu; Haoliang Tang; Rong Wang 001; Feiping Nie 001 (IEEE Signal Process. Lett., 2023)

Learning an Optimal Bipartite Graph for Subspace Clustering via Constrained Laplacian Rank. - Feiping Nie 001; Wei Chang 002; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Cybern., 2023)

Fast Multi-View Clustering via Prototype Graph. - Shaojun Shi; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

Fast Optimization of Spectral Embedding and Improved Spectral Rotation. - Zhen Wang 004; Xiangfeng Dai; Peican Zhu; Rong Wang 001; Xuelong Li 001; Feiping Nie 001 (IEEE Trans. Knowl. Data Eng., 2023)

Self-Supervised Learning for Heterogeneous Audiovisual Scene Analysis. - Di Hu 001; Zheng Wang 037; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Multim., 2023)

Self-Weighted Anchor Graph Learning for Multi-View Clustering. - Xiaochuang Shu; Xiangdong Zhang; Quanxue Gao; Ming Yang 024; Rong Wang 001; Xinbo Gao 001 (IEEE Trans. Multim., 2023)

Multi-View Clustering via Nonnegative and Orthogonal Graph Reconstruction. - Shaojun Shi; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Robust Fuzzy K-Means Clustering With Shrunk Patterns Learning. - Xiaowei Zhao 002; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

Learning Feature-Sparse Principal Subspace. - Feiping Nie 001; Lai Tian; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

An Effective and Efficient Algorithm for K-Means Clustering With New Formulation. - Feiping Nie 001; Ziheng Li; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 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)

Fast Unsupervised Feature Selection With Bipartite Graph and $ ell _{2,0}$ℓ2,0-Norm Constraint. - Hong Chen 015; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

Semi-Supervised Learning via Bipartite Graph Construction With Adaptive Neighbors. - Zhen Wang 004; Long Zhang; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

A Differentiable Perspective for Multi-View Spectral Clustering With Flexible Extension. - Zhoumin Lu; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Adaptive Maximum Entropy Graph-Guided Fast Locality Discriminant Analysis. - Feiping Nie 001; Xiaowei Zhao 002; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Cybern., 2023)

Graph-Based Soft-Balanced Fuzzy Clustering. - Chaodie Liu; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Fuzzy Syst., 2023)

Sparse and Flexible Projections for Unsupervised Feature Selection. - Rong Wang 001; Canyu Zhang; Jintang Bian; Zheng Wang 037; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

Joint Dynamic Manifold and Discriminant Information Learning for Feature Extraction. - Xiaowei Zhao 002; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Elaborate multi-task subspace learning with discrete group constraint. - Wei Chang 002; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Pattern Recognit., 2023)

Rank-$r$r Discrete Matrix Factorization for Anchor Graph Clustering. - Jingjing Xue; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

Sparse robust subspace learning via boolean weight. - Sisi Wang; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (Inf. Fusion, 2023)

Scalable Fuzzy Clustering With Anchor Graph. - Chaodie Liu; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

Effective Clustering via Structured Graph Learning. - Danyang Wu; Feiping Nie 001; Jitao Lu; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

Multitask Learning for Classification Problem via New Tight Relaxation of Rank Minimization. - Wei Chang 002; Feiping Nie 001; Yijie Zhi; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Robust rank-one matrix completion with rank estimation. - Ziheng Li; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Pattern Recognit., 2023)

Discriminative Projected Clustering via Unsupervised LDA. - Feiping Nie 001; Xia Dong; Zhanxuan Hu; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Discrete Robust Principal Component Analysis via Binary Weights Self-Learning. - Feiping Nie 001; Sisi Wang; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Local Embedding Learning via Landmark-Based Dynamic Connections. - Feiping Nie 001; Canyu Zhang; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Nonlinear Feature Selection Neural Network via Structured Sparse Regularization. - Rong Wang 001; Jintang Bian; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Discrete and Balanced Spectral Clustering With Scalability. - Rong Wang 001; Huimin Chen; Yihang Lu; Qianrong Zhang; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Multi-Class Support Vector Machine with Maximizing Minimum Margin. - Feiping Nie 001; Zhezheng Hao; Rong Wang 001 (AAAI, 2024)

Outlier-Robust Feature Selection with ℓ2, 1-Norm Minimization and Group Row-Sparsity Induced Constraints. - Jie Wang 024; Zheng Wang 037; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (ICASSP, 2024)

Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection. - Liaoyuan Tang; Zheng Wang 037; Guanxiong He; Rong Wang 001; Feiping Nie 001 (IJCAI, 2024)

Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving. - Zhezheng Hao; Haonan Xin; Long Wei; Liaoyuan Tang; Rong Wang 001; Feiping Nie 001 (WWW, 2024)

Robust Capped lp-Norm Support Vector Ordinal Regression. - Haorui Xiang; Zhichang Wu; Guoxu Li; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (CoRR, 2024)

Doubly Stochastic Adaptive Neighbors Clustering via the Marcus Mapping. - Jinghui Yuan; Chusheng Zeng; Fangyuan Xie; Zhe Cao; Mulin Chen; Rong Wang 001; Feiping Nie 001; Yuan Yuan 001 (CoRR, 2024)

Achieving More with Less: A Tensor-Optimization-Powered Ensemble Method. - Jinghui Yuan; Weijin Jiang; Zhe Cao; Fangyuan Xie; Rong Wang 001; Feiping Nie 001; Yuan Yuan 001 (CoRR, 2024)

Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance. - Chusheng Zeng; Bocheng Wang; Jinghui Yuan; Rong Wang 001; Mulin Chen (CoRR, 2024)

Clustering Based on Density Propagation and Subcluster Merging. - Feiping Nie 001; Yitao Song; Jingjing Xue; Rong Wang 001; Xuelong Li 001 (CoRR, 2024)

A Greedy Strategy for Graph Cut. - Feiping Nie 001; Shenfei Pei; Zengwei Zheng; Rong Wang 001; Xuelong Li 001 (CoRR, 2024)

New approach for learning structured graph with Laplacian rank constraint. - Yu Duan 001; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Neurocomputing, 2024)

Harmonic cut: An efficient and directly solved balanced graph clustering. - Yu Duan 001; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Neurocomputing, 2024)

Scalable and parameter-free fusion graph learning for multi-view clustering. - Yu Duan 001; Danyang Wu; Rong Wang 001; Xuelong Li 001; Feiping Nie 001 (Neurocomputing, 2024)

Corrigendum to "Max-min robust principal component analysis" [Neurocomputing 521 (2023) 89-98]. - Sisi Wang; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (Neurocomputing, 2024)

Prediction consistency regularization for Generalized Category Discovery. - Yu Duan 001; Junzhi He; Runxin Zhang; Rong Wang 001; Xuelong Li 001; Feiping Nie 001 (Inf. Fusion, 2024)

Multi-view and Multi-order Graph Clustering via Constrained l1,2-norm. - Haonan Xin; Zhezheng Hao; Zhensheng Sun; Rong Wang 001; Zongcheng Miao; Feiping Nie 001 (Inf. Fusion, 2024)

Local sparse discriminative feature selection. - Canyu Zhang; Shaojun Shi; Yanping Chen; Feiping Nie 001; Rong Wang 001 (Inf. Sci., 2024)

T-distributed Stochastic Neighbor Network for unsupervised representation learning. - Zheng Wang 037; Jiaxi Xie; Feiping Nie 001; Rong Wang 001; Yanyan Jia; Shichang Liu (Neural Networks, 2024)

Deep Ensemble Remote Sensing Scene Classification via Category Distribution Association. - Zhenxin He; Guoxu Li; Zheng Wang 037; Guanxiong He; Hao Yan; Rong Wang 001 (Remote. Sens., 2024)

Hyperspherical Prototype Node Clustering. - Jitao Lu; Danyang Wu; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Trans. Mach. Learn. Res., 2024)

Adaptive Local Modularity Learning for Efficient Multilayer Graph Clustering. - Danyang Wu; Penglei Wang; Junjie Liang; Jitao Lu; Jin Xu 014; Rong Wang 001; Feiping Nie 001 (IEEE Trans. Signal Process., 2024)

A Novel Normalized-Cut Solver With Nearest Neighbor Hierarchical Initialization. - Feiping Nie 001; Jitao Lu; Danyang Wu; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Worst-Case Discriminative Feature Learning via Max-Min Ratio Analysis. - Zheng Wang 037; Feiping Nie 001; Canyu Zhang; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Ensemble Clustering With Attentional Representation. - Zhezheng Hao; Zhoumin Lu; Guoxu Li; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Unsupervised Feature Selection With Flexible Optimal Graph. - Hong Chen 015; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Outliers Robust Unsupervised Feature Selection for Structured Sparse Subspace. - Sisi Wang; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection. - Jintang Bian; Dandan Zhao; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Bidirectional Attentive Multi-View Clustering. - Jitao Lu; Feiping Nie 001; Xia Dong; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Robust Principal Component Analysis via Joint Reconstruction and Projection. - Sisi Wang; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Joint Anchor Graph Embedding and Discrete Feature Scoring for Unsupervised Feature Selection. - Zheng Wang 037; Dongming Wu; Rong Wang 001; Feiping Nie 001; Fei Wang 008 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Fast Clustering by Directly Solving Bipartite Graph Clustering Problem. - Feiping Nie 001; Jingjing Xue; Rong Wang 001; Liang Zhang; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering. - Danyang Wu; Xia Dong; Jianfu Cao; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Fast Clustering via Maximizing Adaptively Within-Class Similarity. - Jingjing Xue; Feiping Nie 001; Rong Wang 001; Liang Zhang; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Efficient Local Coherent Structure Learning via Self-Evolution Bipartite Graph. - Zheng Wang 037; Qi Li; Feiping Nie 001; Rong Wang 001; Fei Wang 008; Xuelong Li 001 (IEEE Trans. Cybern., 2024)

Fast Discriminant Analysis With Adaptive Reconstruction Structure Preserving. - Xiaowei Zhao 002; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Fuzzy Clustering From Subset-Clustering to Fullset-Membership. - Huimin Chen; Yu Duan 001; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Fuzzy Syst., 2024)

Supervised Feature Selection via Multi-Center and Local Structure Learning. - Canyu Zhang; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Fast Multiview Clustering by Optimal Graph Mining. - Jitao Lu; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-View and Multi-Order Structured Graph Learning. - Rong Wang 001; Penglei Wang; Danyang Wu; Zhensheng Sun; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Tensorized and Compressed Multi-View Subspace Clustering via Structured Constraint. - Wei Chang 002; Huimin Chen; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

A Novel and Effective Method to Directly Solve Spectral Clustering. - Feiping Nie 001; Chaodie Liu; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Co-Clustering by Directly Solving Bipartite Spectral Graph Partitioning. - Jingjing Xue; Feiping Nie 001; Chaodie Liu; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Cybern., 2024)

Unsupervised Deep Embedding for Fuzzy Clustering. - Runxin Zhang; Yu Duan 001; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Fuzzy Syst., 2024)

An Balanced, and Scalable Graph-Based Multiview Clustering Method. - Zihua Zhao; Feiping Nie 001; Rong Wang 001; Zheng Wang 037; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Pseudo-Label Guided Structural Discriminative Subspace Learning for Unsupervised Feature Selection. - Zheng Wang 037; Yongjin Yuan; Rong Wang 001; Feiping Nie 001; Qinghua Huang; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Graph Joint Representation Clustering via Penalized Graph Contrastive Learning. - Zihua Zhao; Rong Wang 001; Zheng Wang 037; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Language Pre-training Guided Masking Representation Learning for Time Series Classification. - Liaoyuan Tang; Zheng Wang 037; Jie Wang 024; Guanxiong He; Zhezheng Hao; Rong Wang 001; Feiping Nie 001 (AAAI, 2025)

Dimensionality-Reduced Spatial Bipartite Graph Clustering for Hyperspectral and LiDAR Data. - Zhe Cao; Haonan Xin; Bo Yan; Jinping Sui; Rong Wang 001 (ICASSP, 2025)

Consensus Graph-Based Spectral Ensemble Clustering via Low-Rank Tensor Learning. - Zhe Cao; Haonan Xin; Zihua Zhao; Jie Wang 024; Rong Wang 001 (ICASSP, 2025)

Fast multi-view clustering via anchor label transmit with tensor structure constraint. - Huimin Chen; Runxin Zhang; Yu Duan 001; Rong Wang 001; Feiping Nie 001 (Expert Syst. Appl., 2025)

Multi-order graph based clustering via dynamical low rank tensor approximation. - Nian Wang 001; Zhigao Cui; Aihua Li; Yuanliang Xue; Rong Wang 001; Feiping Nie 001 (Neurocomputing, 2025)

Dynamic T-distributed stochastic neighbor graph convolutional networks for multi-modal contrastive fusion. - Bo Xu; Guoxu Li; Jie Wang 024; Zheng Wang 037; Jianfu Cao; Rong Wang 001; Feiping Nie 001 (Neurocomputing, 2025)

Mutual-support generalized category discovery. - Yu Duan 001; Zhanxuan Hu; Rong Wang 001; Zhensheng Sun; Feiping Nie 001; Xuelong Li 001 (Inf. Fusion, 2025)

Anchor-based fast spectral ensemble clustering. - Runxin Zhang; Shuaijun Hang; Zhensheng Sun; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Inf. Fusion, 2025)

Multi-view clustering via high-order bipartite graph fusion. - Zihua Zhao; Ting Wang; Haonan Xin; Rong Wang 001; Feiping Nie 001 (Inf. Fusion, 2025)

Robust support vector ordinal regression. - Haorui Xiang; Zhichang Wu; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (Inf. Sci., 2025)

Adaptive fast local discriminant analysis with whitening transform. - Hong Chen 015; Feiping Nie 001; Yingcang Ma; Rong Wang 001 (Neural Networks, 2025)

Prototypical classifier with distribution consistency regularization for generalized category discovery: A strong baseline. - Zhanxuan Hu; Yu Duan 001; Yaming Zhang; Rong Wang 001; Feiping Nie 001 (Neural Networks, 2025)

Superpixel-Based Bipartite Graph Clustering Enriched With Spatial Information for Hyperspectral and LiDAR Data. - Zhe Cao; Yihang Lu; Haonan Xin; Rong Wang 001; Feiping Nie 001; Mathieu Sebilo (IEEE Trans. Geosci. Remote. Sens., 2025)

Soft Neighbors Supported Contrastive Clustering. - Yu Duan 001; Huimin Chen; Runxin Zhang; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Image Process., 2025)

Simplifying Scalable Subspace Clustering and Its Multi-View Extension by Anchor-to-Sample Kernel. - Zhoumin Lu; Feiping Nie 001; Linru Ma; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Image Process., 2025)

Data Subdivision Based Dual-Weighted Robust Principal Component Analysis. - Sisi Wang; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Image Process., 2025)

Fuzzy Min-Cut With Soft Balancing Effects. - Huimin Chen; Runxin Zhang; Rong Wang 001; Feiping Nie 001 (IEEE Trans. Fuzzy Syst., 2025)

Unconstrained Fuzzy C-Means Based on Entropy Regularization: An Equivalent Model. - Feiping Nie 001; Runxin Zhang; Yu Duan 001; Rong Wang 001 (IEEE Trans. Knowl. Data Eng., 2025)

Toward Balance Deep Semisupervised Clustering. - Yu Duan 001; Zhoumin Lu; Rong Wang 001; Xuelong Li 001; Feiping Nie 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Fast Semi-Supervised Learning on Large Graphs: An Improved Green-Function Method. - Feiping Nie 001; Yitao Song; Wei Chang 002; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Tensorized Graph Learning for Spectral Ensemble Clustering. - Zhe Cao; Yihang Lu; Jinghui Yuan; Haonan Xin; Rong Wang 001; Feiping Nie 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Enhancing Clustering Performance With Tensorized High-Order Bipartite Graphs: A Structured Graph Learning Approach. - Zihua Zhao; Zhe Cao; Haonan Xin; Rong Wang 001; Danyang Wu; Zheng Wang 037; Feiping Nie 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Anchor Guided Unsupervised Domain Adaptation. - Canyu Zhang; Feiping Nie 001; Rong Wang 001 (IEEE Trans. Knowl. Data Eng., 2025)

A Revised Formation of Trace Ratio LDA for Small Sample Size Problem. - Zhengxin Li; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Parameter-Free Multiview K-Means Clustering With Coordinate Descent Method. - Feiping Nie 001; Han Liu 008; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Fuzzy Weighted Principal Component Analysis for Anomaly Detection. - Sisi Wang; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (ACM Trans. Knowl. Discov. Data, 2025)

Joint Structured Bipartite Graph and Row-Sparse Projection for Large-Scale Feature Selection. - Xia Dong; Feiping Nie 001; Danyang Wu; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Dynamic Manipulation of Deformable Objects in 3D: Simulation, Benchmark and Learning Strategy. - Guanzhou Lan; Yuqi Yang; Anup Teejo Mathew; Feiping Nie 001; Rong Wang 001; Xuelong Li 001; Federico Renda; Bin Zhao 001 (CoRR, 2025)

Toward Balance Adaptive Weighted Ensemble Clustering. - Runxin Zhang; Xia Wu 001; Huimin Chen; Guanxiong He; Zheng Wang 037; Rong Wang 001; Feiping Nie 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Structured Graph-Based Ensemble Clustering. - Xuan Zheng; Yihang Lu; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2025)

Structured Doubly Stochastic Graph-Based Clustering. - Nian Wang 001; Zhigao Cui; Aihua Li; Yihang Lu; Rong Wang 001; Feiping Nie 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Fast Multiview Semi-Supervised Classification With Optimal Bipartite Graph. - Yuting Wang; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Adaptive Graph Convolutional Network for Unsupervised Generalizable Tabular Representation Learning. - Zheng Wang 037; Jiaxi Xie; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Graph-Based Clustering: High-Order Bipartite Graph for Proximity Learning. - Zihua Zhao; Danyang Wu; Rong Wang 001; Zheng Wang 037; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2025)

Multiview Clustering via Block Diagonal Graph Filtering. - Haonan Xin; Danyang Wu; Jitao Lu; Rong Wang 001; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Fuzzy Clustering via Orthogonal Tensor Decomposition on High-Order Anchor Graphs. - Zihua Zhao; Xinyi Hui; Huimin Chen; Ting Wang; Rong Wang 001; Feiping Nie 001 (IEEE Trans. Fuzzy Syst., 2025)

Improve noise tolerance of robust feature selection via block-sparse projection learning. - Jie Wang 024; Zheng Wang 037; Yu Guo 006; Rong Wang 001; Fei Wang 008; Feiping Nie 001 (Pattern Recognit., 2026)

Fast multi-view clustering via tensor hyperbolic tangent-p norm minimization. - Yongbo Yu; Zhoumin Lu; Jingjing Xue; Rong Wang 001; Zongcheng Miao; Feiping Nie 001 (Pattern Recognit., 2026)

Multi-view Clustering based on Doubly Stochastic Graph. - Nian Wang 001; Zhigao Cui; Aihua Li; Rong Wang 001; Feiping Nie 001 (Signal Process., 2026)