Rong Wang

Orcid: 0000-0001-9240-6726

Affiliations:
  • Northwestern Polytechnical University, Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xian, China


According to our database1, Rong Wang authored at least 155 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Outliers Robust Unsupervised Feature Selection for Structured Sparse Subspace.
IEEE Trans. Knowl. Data Eng., March, 2024

Unsupervised Feature Selection With Flexible Optimal Graph.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Ensemble Clustering With Attentional Representation.
IEEE Trans. Knowl. Data Eng., February, 2024

Worst-Case Discriminative Feature Learning via Max-Min Ratio Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

A Novel Normalized-Cut Solver With Nearest Neighbor Hierarchical Initialization.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Multi-Class Support Vector Machine with Maximizing Minimum Margin.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Discrete and Balanced Spectral Clustering With Scalability.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Nonlinear Feature Selection Neural Network via Structured Sparse Regularization.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Local Embedding Learning via Landmark-Based Dynamic Connections.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Discrete Robust Principal Component Analysis via Binary Weights Self-Learning.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Discriminative Projected Clustering via Unsupervised LDA.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Robust rank-one matrix completion with rank estimation.
Pattern Recognit., October, 2023

Multitask Learning for Classification Problem via New Tight Relaxation of Rank Minimization.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Effective Clustering via Structured Graph Learning.
IEEE Trans. Knowl. Data Eng., August, 2023

Scalable Fuzzy Clustering With Anchor Graph.
IEEE Trans. Knowl. Data Eng., August, 2023

Sparse robust subspace learning via boolean weight.
Inf. Fusion, August, 2023

Rank-$r$r Discrete Matrix Factorization for Anchor Graph Clustering.
IEEE Trans. Knowl. Data Eng., July, 2023

Elaborate multi-task subspace learning with discrete group constraint.
Pattern Recognit., July, 2023

Joint Dynamic Manifold and Discriminant Information Learning for Feature Extraction.
IEEE Trans. Neural Networks Learn. Syst., June, 2023

Sparse and Flexible Projections for Unsupervised Feature Selection.
IEEE Trans. Knowl. Data Eng., June, 2023

Graph-Based Soft-Balanced Fuzzy Clustering.
IEEE Trans. Fuzzy Syst., June, 2023

Adaptive Maximum Entropy Graph-Guided Fast Locality Discriminant Analysis.
IEEE Trans. Cybern., June, 2023

A Differentiable Perspective for Multi-View Spectral Clustering With Flexible Extension.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Semi-Supervised Learning via Bipartite Graph Construction With Adaptive Neighbors.
IEEE Trans. Knowl. Data Eng., May, 2023

Fast Unsupervised Feature Selection With Bipartite Graph and $\ell _{2,0}$ℓ2,0-Norm Constraint.
IEEE Trans. Knowl. Data Eng., May, 2023

Unsupervised Subspace Learning With Flexible Neighboring.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

An Effective and Efficient Algorithm for K-Means Clustering With New Formulation.
IEEE Trans. Knowl. Data Eng., April, 2023

Learning Feature-Sparse Principal Subspace.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Robust Fuzzy K-Means Clustering With Shrunk Patterns Learning.
IEEE Trans. Knowl. Data Eng., March, 2023

Multi-View Clustering via Nonnegative and Orthogonal Graph Reconstruction.
IEEE Trans. Neural Networks Learn. Syst., 2023

Self-Weighted Anchor Graph Learning for Multi-View Clustering.
IEEE Trans. Multim., 2023

Self-Supervised Learning for Heterogeneous Audiovisual Scene Analysis.
IEEE Trans. Multim., 2023

Fast Optimization of Spectral Embedding and Improved Spectral Rotation.
IEEE Trans. Knowl. Data Eng., 2023

Fast Multi-View Clustering via Prototype Graph.
IEEE Trans. Knowl. Data Eng., 2023

Learning an Optimal Bipartite Graph for Subspace Clustering via Constrained Laplacian Rank.
IEEE Trans. Cybern., 2023

Self-Weighted Euler $k$-Means Clustering.
IEEE Signal Process. Lett., 2023

Ensemble and random collaborative representation-based anomaly detector for hyperspectral imagery.
Signal Process., 2023

Centerless Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Calibrated multi-task subspace learning via binary group structure constraint.
Inf. Sci., 2023

Max-Min Robust Principal Component Analysis.
Neurocomputing, 2023

Joint Feature and Differentiable k-NN Graph Learning using Dirichlet Energy.
CoRR, 2023

Joint Feature and Differentiable k-NN Graph Learning using Dirichlet Energy.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-view Graph Clustering via Efficient Global-Local Spectral Embedding Fusion.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Semi-Supervised Top-k Feature Selection with a General Optimization Framework.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Multi-View K-Means with Laplacian Embedding.
Proceedings of the IEEE International Conference on Acoustics, 2023

Efficient Top-K Feature Selection Using Coordinate Descent Method.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Parameter-Free Consensus Embedding Learning for Multiview Graph-Based Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2022

Unsupervised Feature Selection With Constrained ℓ₂, ₀-Norm and Optimized Graph.
IEEE Trans. Neural Networks Learn. Syst., 2022

Unsupervised Discriminative Projection for Feature Selection.
IEEE Trans. Knowl. Data Eng., 2022

Fuzzy K-Means Clustering With Discriminative Embedding.
IEEE Trans. Knowl. Data Eng., 2022

Adaptive Local Embedding Learning for Semi-Supervised Dimensionality Reduction.
IEEE Trans. Knowl. Data Eng., 2022

Discrete and Parameter-Free Multiple Kernel k-Means.
IEEE Trans. Image Process., 2022

Iteratively Reweighted Algorithm for Fuzzy $c$-Means.
IEEE Trans. Fuzzy Syst., 2022

Fast Fuzzy Clustering Based on Anchor Graph.
IEEE Trans. Fuzzy Syst., 2022

Subspace Sparse Discriminative Feature Selection.
IEEE Trans. Cybern., 2022

Robust Matrix Completion With Column Outliers.
IEEE Trans. Cybern., 2022

Balanced Graph Cut With Exponential Inter-Cluster Compactness.
IEEE Trans. Artif. Intell., 2022

Fast Adaptive Local Subspace Learning With Regressive Regularization.
IEEE Signal Process. Lett., 2022

A general soft-balanced clustering framework based on a novel balance regularizer.
Signal Process., 2022

An attention-based framework for multi-view clustering on Grassmann manifold.
Pattern Recognit., 2022

Adaptive-order proximity learning for graph-based clustering.
Pattern Recognit., 2022

Self-weighting multi-view spectral clustering based on nuclear norm.
Pattern Recognit., 2022

Self-weighted learning framework for adaptive locality discriminant analysis.
Pattern Recognit., 2022

Fast Locality Discriminant Analysis With Adaptive Manifold Embedding.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Coordinate Descent Method for $k$k-means.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Truncated Robust Principle Component Analysis With A General Optimization Framework.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Multiview Clustering: A Scalable and Parameter-Free Bipartite Graph Fusion Method.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

A portable clustering algorithm based on compact neighbors for face tagging.
Neural Networks, 2022

Fast unsupervised embedding learning with anchor-based graph.
Inf. Sci., 2022

Multi-view clustering with adaptive procrustes on Grassmann manifold.
Inf. Sci., 2022

Improving projected fuzzy K-means clustering via robust learning.
Neurocomputing, 2022

Capped ℓp-norm linear discriminant analysis for robust projections learning.
Neurocomputing, 2022

When multi-view classification meets ensemble learning.
Neurocomputing, 2022

Semi-supervised learning based on intra-view heterogeneity and inter-view compatibility for image classification.
Neurocomputing, 2022

Multi-view clustering based on generalized low rank approximation.
Neurocomputing, 2022

On the Global Solution of Soft k-Means.
CoRR, 2022

EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Unified Framework for Discrete Multi-kernel k-means with Kernel Diversity Regularization.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Multiple Kernel K-Means Clustering with Simultaneous Spectral Rotation.
Proceedings of the IEEE International Conference on Acoustics, 2022

Discrete Multi-Kernel K-Means with Diverse and Optimal Kernel Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Self-Paced and Discrete Multiple Kernel <i>k</i>-Means.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Scalable Multiple Kernel <i>k</i>-means Clustering.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Unsupervised Linear Discriminant Analysis for Jointly Clustering and Subspace Learning.
IEEE Trans. Knowl. Data Eng., 2021

Fast Semi-Supervised Learning With Optimal Bipartite Graph.
IEEE Trans. Knowl. Data Eng., 2021

Fast Multi-View Clustering via Nonnegative and Orthogonal Factorization.
IEEE Trans. Image Process., 2021

Semisupervised Band Selection With Graph Optimization for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2021

Celiac Disease Detection From Videocapsule Endoscopy Images Using Strip Principal Component Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Multi-View Clustering Based on Invisible Weights.
IEEE Signal Process. Lett., 2021

Adaptive Flexible Optimal Graph for Unsupervised Dimensionality Reduction.
IEEE Signal Process. Lett., 2021

Multi-Directional Multi-Label Learning.
Signal Process., 2021

Joint nonlinear feature selection and continuous values regression network.
Pattern Recognit. Lett., 2021

Local structured feature learning with dynamic maximum entropy graph.
Pattern Recognit., 2021

Large Graph Clustering With Simultaneous Spectral Embedding and Discretization.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Towards Robust Discriminative Projections Learning via Non-Greedy $\ell _{2, 1}$ℓ2, 1-Norm MinMax.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Low Rank Regularization: A review.
Neural Networks, 2021

Ratio sum formula for dimensionality reduction.
Multim. Tools Appl., 2021

Fast local representation learning via adaptive anchor graph for image retrieval.
Inf. Sci., 2021

Matrix completion with column outliers and sparse noise.
Inf. Sci., 2021

Generalization bottleneck in deep metric learning.
Inf. Sci., 2021

Learning to hash based on angularly discriminative embedding.
Inf. Sci., 2021

Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection.
Inf. Fusion, 2021

Multi-view clustering with interactive mechanism.
Neurocomputing, 2021

An Efficient Density-based clustering algorithm for face groping.
Neurocomputing, 2021

Ensemble and Random Collaborative Representation-Based Anomaly Detector for Hyperspectral Imagery.
CoRR, 2021

GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Discrete Multiple Kernel k-means.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Fast Local Representation Learning with Adaptive Anchor Graph.
Proceedings of the IEEE International Conference on Acoustics, 2021

A Rank-Constrained Clustering Algorithm with Adaptive Embedding.
Proceedings of the IEEE International Conference on Acoustics, 2021

Dependence-Guided Multi-View Clustering.
Proceedings of the IEEE International Conference on Acoustics, 2021

New Tight Relaxations of Rank Minimization for Multi-Task Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Self-Weighted Clustering With Adaptive Neighbors.
IEEE Trans. Neural Networks Learn. Syst., 2020

Fast Semisupervised Learning With Bipartite Graph for Large-Scale Data.
IEEE Trans. Neural Networks Learn. Syst., 2020

Parameter-Free Weighted Multi-View Projected Clustering with Structured Graph Learning.
IEEE Trans. Knowl. Data Eng., 2020

Multiview Semi-Supervised Learning Model for Image Classification.
IEEE Trans. Knowl. Data Eng., 2020

Adaptive Local Linear Discriminant Analysis.
ACM Trans. Knowl. Discov. Data, 2020

Multiple Features and Isolation Forest-Based Fast Anomaly Detector for Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens., 2020

Submanifold-Preserving Discriminant Analysis With an Auto-Optimized Graph.
IEEE Trans. Cybern., 2020

Double-Attentive Principle Component Analysis.
IEEE Signal Process. Lett., 2020

Capped ℓ<sub>p</sub>-Norm LDA for Outliers Robust Dimension Reduction.
IEEE Signal Process. Lett., 2020

Self-weighted collaborative representation for hyperspectral anomaly detection.
Signal Process., 2020

Fast spectral clustering learning with hierarchical bipartite graph for large-scale data.
Pattern Recognit. Lett., 2020

Fast semi-supervised learning with anchor graph for large hyperspectral images.
Pattern Recognit. Lett., 2020

Multi-view spectral clustering via integrating nonnegative embedding and spectral embedding.
Inf. Fusion, 2020

A forest of trees with principal direction specified oblique split on random subspace.
Neurocomputing, 2020

Auto-weighted multi-view clustering via spectral embedding.
Neurocomputing, 2020

Multi-view spectral clustering via sparse graph learning.
Neurocomputing, 2020

Efficient Clustering Based On A Unified View Of $K$-means And Ratio-cut.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Discriminative Feature Selection via A Structured Sparse Subspace Learning Module.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Semi-supervised Clustering via Pairwise Constrained Optimal Graph.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Multi-View Clustering Via Mixed Embedding Approximation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Revisiting Fast Spectral Clustering with Anchor Graph.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Fast Clustering With Co-Clustering Via Discrete Non-Negative Matrix Factorization for Image Identification.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Scalable Graph-Based Clustering With Nonnegative Relaxation for Large Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens., 2019

Scalable and Flexible Unsupervised Feature Selection.
Neural Comput., 2019

An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms.
CoRR, 2019

Feature Learning Viewpoint of Adaboost and a New Algorithm.
IEEE Access, 2019

Robust Subspace Clustering by Learning an Optimal Structured Bipartite Graph via Low-rank Representation.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Stable and orthogonal local discriminant embedding using trace ratio criterion for dimensionality reduction.
Multim. Tools Appl., 2018

Fast unsupervised feature selection with anchor graph and ℓ 2, 1-norm regularization.
Multim. Tools Appl., 2018

Fast and Flexible Large Graph Embedding Based on Anchors.
IEEE J. Sel. Top. Signal Process., 2018

An improved locality preserving projection with ℓ<sub>1</sub>-norm minimization for dimensionality reduction.
Neurocomputing, 2018

Multi-view embedded clustering with unsupervised trace ratio LDA.
Neurocomputing, 2018

Efficient tree classifiers for large scale datasets.
Neurocomputing, 2018

2017
Fast and Orthogonal Locality Preserving Projections for Dimensionality Reduction.
IEEE Trans. Image Process., 2017

Fast Spectral Clustering With Anchor Graph for Large Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett., 2017

Robust Locality Preserving Projections With Cosine-Based Dissimilarity for Linear Dimensionality Reduction.
IEEE Access, 2017

2016
Block Principal Component Analysis With Nongreedy ℓ<sub>1</sub>-Norm Maximization.
IEEE Trans. Cybern., 2016

Diagonal principal component analysis with non-greedy ℓ<sub>1</sub>-norm maximization for face recognition.
Neurocomputing, 2016

Selective Level Set Segmentation Using Fuzzy Region Competition.
IEEE Access, 2016

2015
Robust 2DPCA With Non-greedy ℓ<sub>1</sub>-Norm Maximization for Image Analysis.
IEEE Trans. Cybern., 2015

2013
An Unambiguous Tracking Method Based on Pseudo Correlation Function for AltBOC(15, 10) Signal.
Wirel. Pers. Commun., 2013

2012
A Novel Orthonormalization Matrix Based Fast and Stable DPM Algorithm for Principal and Minor Subspace Tracking.
IEEE Trans. Signal Process., 2012

2011
Stable and Orthonormal OJA Algorithm With Low Complexity.
IEEE Signal Process. Lett., 2011

Interference cancellation in GPS receiver using noise subspace tracking algorithm.
Signal Process., 2011


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