Rui Zhang

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 63

Top Topics

Unsupervised Learning

Principal Component Analysis

Manifold Structure

Feature Selection

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Image Process.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Xuelong Li, Hongyuan Zhang, Rui Zhang
Matrix Completion via Non-Convex Relaxation and Adaptive Correlation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Tong Wu, Rui Zhang, Ziheng Jiao, Xian Wei, Xuelong Li
Adaptive Spectral Rotation via Joint Cluster and Pairwise Structure. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Xuelong Li, Yunxing Zhang, Rui Zhang
Self-Weighted Unsupervised LDA. IEEE Trans. Neural Networks Learn. Syst. 34 (3) (2023)
Rui Zhang, Yunxing Zhang, Chengjun Lu, Xuelong Li
Unsupervised Graph Embedding via Adaptive Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Hongyuan Zhang, Pei Li, Rui Zhang, Xuelong Li
Embedding Graph Auto-Encoder for Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Hongyuan Zhang, Jiankun Shi, Rui Zhang, Xuelong Li
Non-Graph Data Clustering via $\mathcal {O}(n)$O(n) Bipartite Graph Convolution. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Yi Zhao, Meina Qiao, Haiyang Wang, Rui Zhang, Dan Wang, Ke Xu
Friendship Inference in Mobile Social Networks: Exploiting Multi-Source Information With Two-Stage Deep Learning Framework. IEEE/ACM Trans. Netw. 31 (2) (2023)
Rui Zhang, Ziheng Jiao, Hongyuan Zhang, Xuelong Li
Manifold Neural Network With Non-Gradient Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Rui Zhang, Wenlin Zhang, Pei Li, Xuelong Li
Graph Convolution RPCA With Adaptive Graph. IEEE Trans. Image Process. 31 (2022)
Xuelong Li, Hongyuan Zhang, Rui Zhang
Adaptive Graph Auto-Encoder for General Data Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Rui Zhang, Yunxing Zhang, Xuelong Li
Unsupervised Feature Selection via Adaptive Graph Learning and Constraint. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
Rui Zhang, Hongyuan Zhang, Xuelong Li
Maximum Joint Probability With Multiple Representations for Clustering. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Xuelong Li, Yunxing Zhang, Rui Zhang
Semisupervised Feature Selection via Generalized Uncorrelated Constraint and Manifold Embedding. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Rui Zhang, Hongyuan Zhang, Xuelong Li, Sheng Yang
Unsupervised Feature Selection With Extended OLSDA via Embedding Nonnegative Manifold Structure. IEEE Trans. Neural Networks Learn. Syst. 33 (5) (2022)
Xuelong Li, Ziheng Jiao, Hongyuan Zhang, Rui Zhang
Deep Manifold Learning with Graph Mining. CoRR (2022)
Pei Li, Wenlin Zhang, Chengjun Lu, Rui Zhang, Xuelong Li
Robust kernel principal component analysis with optimal mean. Neural Networks 152 (2022)
Hongyuan Zhang, Jiankun Shi, Rui Zhang, Xuelong Li
AnchorGAE: General Data Clustering via O(n) Bipartite Graph Convolution. CoRR (2021)
Hongyuan Zhang, Rui Zhang, Xuelong Li, Yueshen Xu
Robust multi-view fuzzy clustering via softmin. Neurocomputing 458 (2021)
Xuelong Li, Rui Zhang, Qi Wang, Hongyuan Zhang
Autoencoder Constrained Clustering With Adaptive Neighbors. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Rui Zhang, Hongyuan Zhang, Xuelong Li
Enhanced Principal Component Analysis under A Collaborative-Robust Framework. CoRR (2021)
Rui Zhang, Ziheng Jiao, Hongyuan Zhang, Xuelong Li
Non-Gradient Manifold Neural Network. CoRR (2021)
Rui Zhang, Xuelong Li
Regularized Regression With Fuzzy Membership Embedding for Unsupervised Feature Selection. IEEE Trans. Fuzzy Syst. 29 (12) (2021)
Rui Zhang, Hongyuan Zhang, Xuelong Li
Robust Multi-Task Learning With Flexible Manifold Constraint. IEEE Trans. Pattern Anal. Mach. Intell. 43 (6) (2021)
Rui Zhang, Xuelong Li, Tong Wu, Yi Zhao
Data Clustering via Uncorrelated Ridge Regression. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Rui Zhang, Chengjun Lu, Ziheng Jiao, Xuelong Li
Deep Contrastive Graph Representation via Adaptive Homotopy Learning. CoRR (2021)
Xuelong Li, Hongyuan Zhang, Rui Zhang
Adaptive Graph Auto-Encoder for General Data Clustering. CoRR (2020)
Rui Zhang, Xuelong Li, Hongyuan Zhang, Feiping Nie
Deep Fuzzy K-Means With Adaptive Loss and Entropy Regularization. IEEE Trans. Fuzzy Syst. 28 (11) (2020)
Xuelong Li, Han Zhang, Rui Zhang, Feiping Nie
Discriminative and Uncorrelated Feature Selection With Constrained Spectral Analysis in Unsupervised Learning. IEEE Trans. Image Process. 29 (2020)
Rui Zhang, Yunxing Zhang, Xuelong Li
Graph Convolutional Auto-encoder with Bi-decoder and Adaptive-sharing Adjacency. CoRR (2020)
Rui Zhang, Han Zhang, Xuelong Li, Feiping Nie
Adaptive Robust Low-Rank 2-D Reconstruction With Steerable Sparsity. IEEE Trans. Neural Networks Learn. Syst. 31 (9) (2020)
Yun Liu, Rui Zhang, Feiping Nie, Xuelong Li, Chris Ding
Supervised Dimensionality Reduction Methods via Recursive Regression. IEEE Trans. Neural Networks Learn. Syst. 31 (9) (2020)
Xuelong Li, Hongyuan Zhang, Rui Zhang
Embedding Graph Auto-Encoder with Joint Clustering via Adjacency Sharing. CoRR (2020)
Yi Zhao, Haiyang Wang, Hui Su, Liang Zhang, Rui Zhang, Dan Wang, Ke Xu
Understand Love of Variety in Wireless Data Market Under Sponsored Data Plans. IEEE J. Sel. Areas Commun. 38 (4) (2020)
Rui Zhang, Xuelong Li
Unsupervised Feature Selection Via Data Reconstruction and Side Information. IEEE Trans. Image Process. 29 (2020)
Feiping Nie, Han Zhang, Rui Zhang, Xuelong Li
Robust Multiple Rank-k Bilinear Projections for Unsupervised Learning. IEEE Trans. Image Process. 28 (5) (2019)
Yi Zhao, Meina Qiao, Haiyang Wang, Rui Zhang, Dan Wang, Ke Xu, Qi Tan
TDFI: Two-stage Deep Learning Framework for Friendship Inference via Multi-source Information. INFOCOM (2019)
Rui Zhang, Feiping Nie, Yunhai Wang, Xuelong Li
Unsupervised Feature Selection via Adaptive Multimeasure Fusion. IEEE Trans. Neural Networks Learn. Syst. 30 (9) (2019)
Rui Zhang, Hanghang Tong
Robust Principal Component Analysis with Adaptive Neighbors. NeurIPS (2019)
Feiping Nie, Sheng Yang, Rui Zhang, Xuelong Li
A General Framework for Auto-Weighted Feature Selection via Global Redundancy Minimization. IEEE Trans. Image Process. 28 (5) (2019)
Rui Zhang, Hanghang Tong, Yifan Hu
Adaptive Feature Redundancy Minimization. CIKM (2019)
Rui Zhang, Feiping Nie, Xuelong Li
Semisupervised Learning With Parameter-Free Similarity of Label and Side Information. IEEE Trans. Neural Networks Learn. Syst. 30 (2) (2019)
Han Zhang, Rui Zhang, Feiping Nie, Xuelong Li
An efficient framework for unsupervised feature selection. Neurocomputing 366 (2019)
Rui Zhang, Hanghang Tong, Yinglong Xia, Yada Zhu
Robust Embedded Deep K-means Clustering. CIKM (2019)
Rui Zhang, Feiping Nie, Xuelong Li, Xian Wei
Feature selection with multi-view data: A survey. Inf. Fusion 50 (2019)
Sheng Yang, Rui Zhang, Feiping Nie, Xuelong Li
Unsupervised Feature Selection Based on Reconstruction Error Minimization. ICASSP (2019)
Rui Zhang, Luca Giancardo, Danilo A. Peña, Yejin Kim, Hanghang Tong, Xiaoqian Jiang
From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort. CoRR (2019)
Xuelong Li, Han Zhang, Rui Zhang, Yun Liu, Feiping Nie
Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 30 (5) (2019)
Rui Zhang, Feiping Nie, Muhan Guo, Xian Wei, Xuelong Li
Joint Learning of Fuzzy k-Means and Nonnegative Spectral Clustering With Side Information. IEEE Trans. Image Process. 28 (5) (2019)
Rui Zhang, Feiping Nie, Xuelong Li
Self-Weighted Supervised Discriminative Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 29 (8) (2018)
Muhan Guo, Rui Zhang, Feiping Nie, Xuelong Li
Embedding Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information. CIKM (2018)
Han Zhang, Feiping Nie, Rui Zhang, Xuelong Li
Auto-weighted 2-dimensional maximum margin criterion. Pattern Recognit. 83 (2018)
Tong Wu, Yicang Zhou, Rui Zhang, Yanni Xiao, Feiping Nie
Self-weighted discriminative feature selection via adaptive redundancy minimization. Neurocomputing 275 (2018)
Rui Zhang, Feiping Nie, Xuelong Li
Feature selection under regularized orthogonal least square regression with optimal scaling. Neurocomputing 273 (2018)
Guohao Cai, Rui Zhang, Feiping Nie, Xuelong Li
Feature Selection via Incorporating Stiefel Manifold in Relaxed K-Means. ICIP (2018)
Han Zhang, Rui Zhang, Feiping Nie, Xuelong Li
A Generalized Uncorrelated Ridge Regression with Nonnegative Labels for Unsupervised Feature Selection. ICASSP (2018)
Rui Zhang, Feiping Nie, Xuelong Li
Auto-weighted two-dimensional principal component analysis with robust outliers. ICASSP (2017)
Rui Zhang, Feiping Nie, Xuelong Li
Semi-supervised classification via both label and side information. ICASSP (2017)
Feiping Nie, Rui Zhang, Xuelong Li
A generalized power iteration method for solving quadratic problem on the Stiefel manifold. CoRR (2017)
Rui Zhang, Feiping Nie, Xuelong Li
Projected clustering via robust orthogonal least square regression with optimal scaling. IJCNN (2017)
Rui Zhang, Feiping Nie, Xuelong Li
Regularized Class-Specific Subspace Classifier. IEEE Trans. Neural Networks Learn. Syst. 28 (11) (2017)
Feiping Nie, Rui Zhang, Xuelong Li
A generalized power iteration method for solving quadratic problem on the Stiefel manifold. Sci. China Inf. Sci. 60 (11) (2017)
Rui Zhang, Feiping Nie, Xuelong Li
Embedded clustering via robust orthogonal least square discriminant analysis. ICASSP (2017)
Rui Zhang, Feiping Nie, Xuelong Li
Self-weighted spectral clustering with parameter-free constraint. Neurocomputing 241 (2017)
Liliana R. Stefan, Rui Zhang, Aaron G. Levitan, Donna K. Hendrix, Steven E. Brenner, Stephen R. Holbrook
MeRNA: a database of metal ion binding sites in RNA structures. Nucleic Acids Res. 34 (Database-Issue) (2006)