Rui Zhang

According to our database, Rui Zhang authored at least 65 papers between 2006 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Adaptive Magnetic-Graph Clustering.

Rui Zhang, Yuelong Cheng, Xiang Shi, Xuelong Li

IEEE Trans. Knowl. Data Eng., October, 2025

2024

Pivotal-Aware Principal Component Analysis.

Xuelong Li, Pei Li, Hongyuan Zhang, Kangjia Zhu, Rui Zhang

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Graph manifold learning with non-gradient decision layer.

Ziheng Jiao, Hongyuan Zhang, Rui Zhang, Xuelong Li

Neurocomputing, 2024

2023

Embedding Graph Auto-Encoder for Graph Clustering.

Hongyuan Zhang, Pei Li, Rui Zhang, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Non-Graph Data Clustering via $\mathcal {O}(n)$O(n) Bipartite Graph Convolution.

Hongyuan Zhang, Jiankun Shi, Rui Zhang, Xuelong Li

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Friendship Inference in Mobile Social Networks: Exploiting Multi-Source Information With Two-Stage Deep Learning Framework.

Yi Zhao, Meina Qiao, Haiyang Wang, Rui Zhang, Dan Wang, Ke Xu

IEEE/ACM Trans. Netw., April, 2023

Unsupervised Graph Embedding via Adaptive Graph Learning.

Rui Zhang, Yunxing Zhang, Chengjun Lu, Xuelong Li

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Self-Weighted Unsupervised LDA.

Xuelong Li, Yunxing Zhang, Rui Zhang

IEEE Trans. Neural Networks Learn. Syst., March, 2023

Manifold Neural Network With Non-Gradient Optimization.

Rui Zhang, Ziheng Jiao, Hongyuan Zhang, Xuelong Li

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Adaptive Spectral Rotation via Joint Cluster and Pairwise Structure.

Tong Wu, Rui Zhang, Ziheng Jiao, Xian Wei, Xuelong Li

IEEE Trans. Knowl. Data Eng., 2023

Matrix Completion via Non-Convex Relaxation and Adaptive Correlation Learning.

Xuelong Li, Hongyuan Zhang, Rui Zhang

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

2022

Unsupervised Feature Selection With Extended OLSDA via Embedding Nonnegative Manifold Structure.

Rui Zhang, Hongyuan Zhang, Xuelong Li, Sheng Yang

IEEE Trans. Neural Networks Learn. Syst., 2022

Maximum Joint Probability With Multiple Representations for Clustering.

Rui Zhang, Hongyuan Zhang, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2022

Unsupervised Feature Selection via Adaptive Graph Learning and Constraint.

Rui Zhang, Yunxing Zhang, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2022

Semisupervised Feature Selection via Generalized Uncorrelated Constraint and Manifold Embedding.

Xuelong Li, Yunxing Zhang, Rui Zhang

IEEE Trans. Neural Networks Learn. Syst., 2022

Graph Convolution RPCA With Adaptive Graph.

Rui Zhang, Wenlin Zhang, Pei Li, Xuelong Li

IEEE Trans. Image Process., 2022

Adaptive Graph Auto-Encoder for General Data Clustering.

Xuelong Li, Hongyuan Zhang, Rui Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Robust kernel principal component analysis with optimal mean.

Pei Li, Wenlin Zhang, Chengjun Lu, Rui Zhang, Xuelong Li

Neural Networks, 2022

Deep Manifold Learning with Graph Mining.

Xuelong Li, Ziheng Jiao, Hongyuan Zhang, Rui Zhang

CoRR, 2022

2021

Data Clustering via Uncorrelated Ridge Regression.

Rui Zhang, Xuelong Li, Tong Wu, Yi Zhao

IEEE Trans. Neural Networks Learn. Syst., 2021

Autoencoder Constrained Clustering With Adaptive Neighbors.

Xuelong Li, Rui Zhang, Qi Wang, Hongyuan Zhang

IEEE Trans. Neural Networks Learn. Syst., 2021

Regularized Regression With Fuzzy Membership Embedding for Unsupervised Feature Selection.

Rui Zhang, Xuelong Li

IEEE Trans. Fuzzy Syst., 2021

Robust Multi-Task Learning With Flexible Manifold Constraint.

Rui Zhang, Hongyuan Zhang, Xuelong Li

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Robust multi-view fuzzy clustering via softmin.

Hongyuan Zhang, Rui Zhang, Xuelong Li, Yueshen Xu

Neurocomputing, 2021

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

Hongyuan Zhang, Jiankun Shi, Rui Zhang, Xuelong Li

CoRR, 2021

Deep Contrastive Graph Representation via Adaptive Homotopy Learning.

Rui Zhang, Chengjun Lu, Ziheng Jiao, Xuelong Li

CoRR, 2021

Non-Gradient Manifold Neural Network.

Rui Zhang, Ziheng Jiao, Hongyuan Zhang, Xuelong Li

CoRR, 2021

Enhanced Principal Component Analysis under A Collaborative-Robust Framework.

Rui Zhang, Hongyuan Zhang, Xuelong Li

CoRR, 2021

2020

Adaptive Robust Low-Rank 2-D Reconstruction With Steerable Sparsity.

Rui Zhang, Han Zhang, Xuelong Li, Feiping Nie

IEEE Trans. Neural Networks Learn. Syst., 2020

Supervised Dimensionality Reduction Methods via Recursive Regression.

Yun Liu, Rui Zhang, Feiping Nie, Xuelong Li, Chris Ding

IEEE Trans. Neural Networks Learn. Syst., 2020

Unsupervised Feature Selection Via Data Reconstruction and Side Information.

Rui Zhang, Xuelong Li

IEEE Trans. Image Process., 2020

Discriminative and Uncorrelated Feature Selection With Constrained Spectral Analysis in Unsupervised Learning.

Xuelong Li, Han Zhang, Rui Zhang, Feiping Nie

IEEE Trans. Image Process., 2020

Deep Fuzzy K-Means With Adaptive Loss and Entropy Regularization.

Rui Zhang, Xuelong Li, Hongyuan Zhang, Feiping Nie

IEEE Trans. Fuzzy Syst., 2020

Understand Love of Variety in Wireless Data Market Under Sponsored Data Plans.

Yi Zhao, Haiyang Wang, Hui Su, Liang Zhang, Rui Zhang, Dan Wang, Ke Xu

IEEE J. Sel. Areas Commun., 2020

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

Rui Zhang, Yunxing Zhang, Xuelong Li

CoRR, 2020

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

Xuelong Li, Hongyuan Zhang, Rui Zhang

CoRR, 2020

2019

Unsupervised Feature Selection via Adaptive Multimeasure Fusion.

Rui Zhang, Feiping Nie, Yunhai Wang, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2019

Semisupervised Learning With Parameter-Free Similarity of Label and Side Information.

Rui Zhang, Feiping Nie, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2019

Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection.

Xuelong Li, Han Zhang, Rui Zhang, Yun Liu, Feiping Nie

IEEE Trans. Neural Networks Learn. Syst., 2019

Joint Learning of Fuzzy k-Means and Nonnegative Spectral Clustering With Side Information.

Rui Zhang, Feiping Nie, Muhan Guo, Xian Wei, Xuelong Li

IEEE Trans. Image Process., 2019

Robust Multiple Rank-k Bilinear Projections for Unsupervised Learning.

Feiping Nie, Han Zhang, Rui Zhang, Xuelong Li

IEEE Trans. Image Process., 2019

A General Framework for Auto-Weighted Feature Selection via Global Redundancy Minimization.

Feiping Nie, Sheng Yang, Rui Zhang, Xuelong Li

IEEE Trans. Image Process., 2019

Feature selection with multi-view data: A survey.

Rui Zhang, Feiping Nie, Xuelong Li, Xian Wei

Inf. Fusion, 2019

An efficient framework for unsupervised feature selection.

Han Zhang, Rui Zhang, Feiping Nie, Xuelong Li

Neurocomputing, 2019

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

Rui Zhang, Luca Giancardo, Danilo A. Peña, Yejin Kim, Hanghang Tong, Xiaoqian Jiang

CoRR, 2019

Robust Principal Component Analysis with Adaptive Neighbors.

Rui Zhang, Hanghang Tong

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.

Yi Zhao, Meina Qiao, Haiyang Wang, Rui Zhang, Dan Wang, Ke Xu, Qi Tan

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Unsupervised Feature Selection Based on Reconstruction Error Minimization.

Sheng Yang, Rui Zhang, Feiping Nie, Xuelong Li

Proceedings of the IEEE International Conference on Acoustics, 2019

Robust Embedded Deep K-means Clustering.

Rui Zhang, Hanghang Tong, Yinglong Xia, Yada Zhu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Adaptive Feature Redundancy Minimization.

Rui Zhang, Hanghang Tong, Yifan Hu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Self-Weighted Supervised Discriminative Feature Selection.

Rui Zhang, Feiping Nie, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2018

Auto-weighted 2-dimensional maximum margin criterion.

Han Zhang, Feiping Nie, Rui Zhang, Xuelong Li

Pattern Recognit., 2018

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

Rui Zhang, Feiping Nie, Xuelong Li

Neurocomputing, 2018

Self-weighted discriminative feature selection via adaptive redundancy minimization.

Tong Wu, Yicang Zhou, Rui Zhang, Yanni Xiao, Feiping Nie

Neurocomputing, 2018

Feature Selection via Incorporating Stiefel Manifold in Relaxed K-Means.

Guohao Cai, Rui Zhang, Feiping Nie, Xuelong Li

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A Generalized Uncorrelated Ridge Regression with Nonnegative Labels for Unsupervised Feature Selection.

Han Zhang, Rui Zhang, Feiping Nie, Xuelong Li

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Embedding Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information.

Muhan Guo, Rui Zhang, Feiping Nie, Xuelong Li

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Regularized Class-Specific Subspace Classifier.

Rui Zhang, Feiping Nie, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2017

Self-weighted spectral clustering with parameter-free constraint.

Rui Zhang, Feiping Nie, Xuelong Li

Neurocomputing, 2017

A generalized power iteration method for solving quadratic problem on the Stiefel manifold.

Feiping Nie, Rui Zhang, Xuelong Li

Sci. China Inf. Sci., 2017

Projected clustering via robust orthogonal least square regression with optimal scaling.

Rui Zhang, Feiping Nie, Xuelong Li

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Auto-weighted two-dimensional principal component analysis with robust outliers.

Rui Zhang, Feiping Nie, Xuelong Li

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Semi-supervised classification via both label and side information.

Rui Zhang, Feiping Nie, Xuelong Li

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Embedded clustering via robust orthogonal least square discriminant analysis.

Rui Zhang, Feiping Nie, Xuelong Li

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2006

MeRNA: a database of metal ion binding sites in RNA structures.

Liliana R. Stefan, Rui Zhang, Aaron G. Levitan, Donna K. Hendrix, Steven E. Brenner, Stephen R. Holbrook

Nucleic Acids Res., 2006