Rui Zhang

Orcid: 0000-0001-9418-0863

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


According to our database1, Rui Zhang authored at least 64 papers between 2006 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Pivotal-Aware Principal Component Analysis.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

Graph manifold learning with non-gradient decision layer.
Neurocomputing, 2024

2023
Embedding Graph Auto-Encoder for Graph Clustering.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Non-Graph Data Clustering via $\mathcal {O}(n)$O(n) Bipartite Graph Convolution.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Friendship Inference in Mobile Social Networks: Exploiting Multi-Source Information With Two-Stage Deep Learning Framework.
IEEE/ACM Trans. Netw., April, 2023

Unsupervised Graph Embedding via Adaptive Graph Learning.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Self-Weighted Unsupervised LDA.
IEEE Trans. Neural Networks Learn. Syst., March, 2023

Manifold Neural Network With Non-Gradient Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Adaptive Spectral Rotation via Joint Cluster and Pairwise Structure.
IEEE Trans. Knowl. Data Eng., 2023

Matrix Completion via Non-Convex Relaxation and Adaptive Correlation Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

2022
Unsupervised Feature Selection With Extended OLSDA via Embedding Nonnegative Manifold Structure.
IEEE Trans. Neural Networks Learn. Syst., 2022

Maximum Joint Probability With Multiple Representations for Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2022

Unsupervised Feature Selection via Adaptive Graph Learning and Constraint.
IEEE Trans. Neural Networks Learn. Syst., 2022

Semisupervised Feature Selection via Generalized Uncorrelated Constraint and Manifold Embedding.
IEEE Trans. Neural Networks Learn. Syst., 2022

Graph Convolution RPCA With Adaptive Graph.
IEEE Trans. Image Process., 2022

Adaptive Graph Auto-Encoder for General Data Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Robust kernel principal component analysis with optimal mean.
Neural Networks, 2022

Deep Manifold Learning with Graph Mining.
CoRR, 2022

2021
Data Clustering via Uncorrelated Ridge Regression.
IEEE Trans. Neural Networks Learn. Syst., 2021

Autoencoder Constrained Clustering With Adaptive Neighbors.
IEEE Trans. Neural Networks Learn. Syst., 2021

Regularized Regression With Fuzzy Membership Embedding for Unsupervised Feature Selection.
IEEE Trans. Fuzzy Syst., 2021

Robust Multi-Task Learning With Flexible Manifold Constraint.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Robust multi-view fuzzy clustering via softmin.
Neurocomputing, 2021

AnchorGAE: General Data Clustering via O(n) Bipartite Graph Convolution.
CoRR, 2021

Deep Contrastive Graph Representation via Adaptive Homotopy Learning.
CoRR, 2021

Non-Gradient Manifold Neural Network.
CoRR, 2021

Enhanced Principal Component Analysis under A Collaborative-Robust Framework.
CoRR, 2021

2020
Adaptive Robust Low-Rank 2-D Reconstruction With Steerable Sparsity.
IEEE Trans. Neural Networks Learn. Syst., 2020

Supervised Dimensionality Reduction Methods via Recursive Regression.
IEEE Trans. Neural Networks Learn. Syst., 2020

Unsupervised Feature Selection Via Data Reconstruction and Side Information.
IEEE Trans. Image Process., 2020

Discriminative and Uncorrelated Feature Selection With Constrained Spectral Analysis in Unsupervised Learning.
IEEE Trans. Image Process., 2020

Deep Fuzzy K-Means With Adaptive Loss and Entropy Regularization.
IEEE Trans. Fuzzy Syst., 2020

Understand Love of Variety in Wireless Data Market Under Sponsored Data Plans.
IEEE J. Sel. Areas Commun., 2020

Graph Convolutional Auto-encoder with Bi-decoder and Adaptive-sharing Adjacency.
CoRR, 2020

Embedding Graph Auto-Encoder with Joint Clustering via Adjacency Sharing.
CoRR, 2020

2019
Unsupervised Feature Selection via Adaptive Multimeasure Fusion.
IEEE Trans. Neural Networks Learn. Syst., 2019

Semisupervised Learning With Parameter-Free Similarity of Label and Side Information.
IEEE Trans. Neural Networks Learn. Syst., 2019

Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection.
IEEE Trans. Neural Networks Learn. Syst., 2019

Joint Learning of Fuzzy k-Means and Nonnegative Spectral Clustering With Side Information.
IEEE Trans. Image Process., 2019

Robust Multiple Rank-k Bilinear Projections for Unsupervised Learning.
IEEE Trans. Image Process., 2019

A General Framework for Auto-Weighted Feature Selection via Global Redundancy Minimization.
IEEE Trans. Image Process., 2019

Feature selection with multi-view data: A survey.
Inf. Fusion, 2019

An efficient framework for unsupervised feature selection.
Neurocomputing, 2019

From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort.
CoRR, 2019

Robust Principal Component Analysis with Adaptive Neighbors.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

TDFI: Two-stage Deep Learning Framework for Friendship Inference via Multi-source Information.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Unsupervised Feature Selection Based on Reconstruction Error Minimization.
Proceedings of the IEEE International Conference on Acoustics, 2019

Robust Embedded Deep K-means Clustering.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Adaptive Feature Redundancy Minimization.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Self-Weighted Supervised Discriminative Feature Selection.
IEEE Trans. Neural Networks Learn. Syst., 2018

Auto-weighted 2-dimensional maximum margin criterion.
Pattern Recognit., 2018

Feature selection under regularized orthogonal least square regression with optimal scaling.
Neurocomputing, 2018

Self-weighted discriminative feature selection via adaptive redundancy minimization.
Neurocomputing, 2018

Feature Selection via Incorporating Stiefel Manifold in Relaxed K-Means.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A Generalized Uncorrelated Ridge Regression with Nonnegative Labels for Unsupervised Feature Selection.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Embedding Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Regularized Class-Specific Subspace Classifier.
IEEE Trans. Neural Networks Learn. Syst., 2017

Self-weighted spectral clustering with parameter-free constraint.
Neurocomputing, 2017

A generalized power iteration method for solving quadratic problem on the Stiefel manifold.
Sci. China Inf. Sci., 2017

Projected clustering via robust orthogonal least square regression with optimal scaling.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Auto-weighted two-dimensional principal component analysis with robust outliers.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Semi-supervised classification via both label and side information.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Embedded clustering via robust orthogonal least square discriminant analysis.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2006
MeRNA: a database of metal ion binding sites in RNA structures.
Nucleic Acids Res., 2006


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