MeRNA: a database of metal ion binding sites in RNA structures. - Liliana R. Stefan; Rui Zhang 017; Aaron G. Levitan; Donna K. Hendrix; Steven E. Brenner; Stephen R. Holbrook (Nucleic Acids Res., 2006)

Embedded clustering via robust orthogonal least square discriminant analysis. - Rui Zhang 017; Feiping Nie 001; Xuelong Li 001 (ICASSP, 2017)

Semi-supervised classification via both label and side information. - Rui Zhang 017; Feiping Nie 001; Xuelong Li 001 (ICASSP, 2017)

Auto-weighted two-dimensional principal component analysis with robust outliers. - Rui Zhang 017; Feiping Nie 001; Xuelong Li 001 (ICASSP, 2017)

Projected clustering via robust orthogonal least square regression with optimal scaling. - Rui Zhang 017; Feiping Nie 001; Xuelong Li 001 (IJCNN, 2017)

A generalized power iteration method for solving quadratic problem on the Stiefel manifold. - Feiping Nie 001; Rui Zhang 017; Xuelong Li 001 (Sci. China Inf. Sci., 2017)

Self-weighted spectral clustering with parameter-free constraint. - Rui Zhang 017; Feiping Nie 001; Xuelong Li 001 (Neurocomputing, 2017)

Regularized Class-Specific Subspace Classifier. - Rui Zhang 017; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Embedding Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information. - Muhan Guo; Rui Zhang 017; Feiping Nie 001; Xuelong Li 001 (CIKM, 2018)

A Generalized Uncorrelated Ridge Regression with Nonnegative Labels for Unsupervised Feature Selection. - Han Zhang 012; Rui Zhang 017; Feiping Nie 001; Xuelong Li 001 (ICASSP, 2018)

Feature Selection via Incorporating Stiefel Manifold in Relaxed K-Means. - Guohao Cai; Rui Zhang 017; Feiping Nie 001; Xuelong Li 001 (ICIP, 2018)

Self-weighted discriminative feature selection via adaptive redundancy minimization. - Tong Wu 006; Yicang Zhou; Rui Zhang 017; Yanni Xiao; Feiping Nie 001 (Neurocomputing, 2018)

Feature selection under regularized orthogonal least square regression with optimal scaling. - Rui Zhang 017; Feiping Nie 001; Xuelong Li 001 (Neurocomputing, 2018)

Auto-weighted 2-dimensional maximum margin criterion. - Han Zhang 012; Feiping Nie 001; Rui Zhang 017; Xuelong Li 001 (Pattern Recognit., 2018)

Self-Weighted Supervised Discriminative Feature Selection. - Rui Zhang 017; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Adaptive Feature Redundancy Minimization. - Rui Zhang 017; Hanghang Tong; Yifan Hu 001 (CIKM, 2019)

Robust Embedded Deep K-means Clustering. - Rui Zhang 017; Hanghang Tong; Yinglong Xia; Yada Zhu (CIKM, 2019)

Unsupervised Feature Selection Based on Reconstruction Error Minimization. - Sheng Yang; Rui Zhang 017; Feiping Nie 001; Xuelong Li 001 (ICASSP, 2019)

TDFI: Two-stage Deep Learning Framework for Friendship Inference via Multi-source Information. - Yi Zhao 011; Meina Qiao; Haiyang Wang; Rui Zhang 017; Dan Wang 002; Ke Xu 002; Qi Tan 003 (INFOCOM, 2019)

Robust Principal Component Analysis with Adaptive Neighbors. - Rui Zhang 017; Hanghang Tong (NeurIPS, 2019)

From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort. - Rui Zhang 017; Luca Giancardo; Danilo A. Peña; Yejin Kim 001; Hanghang Tong; Xiaoqian Jiang (CoRR, 2019)

An efficient framework for unsupervised feature selection. - Han Zhang 012; Rui Zhang 017; Feiping Nie 001; Xuelong Li 001 (Neurocomputing, 2019)

Feature selection with multi-view data: A survey. - Rui Zhang 017; Feiping Nie 001; Xuelong Li 001; Xian Wei (Inf. Fusion, 2019)

A General Framework for Auto-Weighted Feature Selection via Global Redundancy Minimization. - Feiping Nie 001; Sheng Yang; Rui Zhang 017; Xuelong Li 001 (IEEE Trans. Image Process., 2019)

Robust Multiple Rank-k Bilinear Projections for Unsupervised Learning. - Feiping Nie 001; Han Zhang 012; Rui Zhang 017; Xuelong Li 001 (IEEE Trans. Image Process., 2019)

Joint Learning of Fuzzy k-Means and Nonnegative Spectral Clustering With Side Information. - Rui Zhang 017; Feiping Nie 001; Muhan Guo; Xian Wei; Xuelong Li 001 (IEEE Trans. Image Process., 2019)

Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection. - Xuelong Li 001; Han Zhang 012; Rui Zhang 017; Yun Liu 021; Feiping Nie 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Semisupervised Learning With Parameter-Free Similarity of Label and Side Information. - Rui Zhang 017; Feiping Nie 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Unsupervised Feature Selection via Adaptive Multimeasure Fusion. - Rui Zhang 017; Feiping Nie 001; Yunhai Wang; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Embedding Graph Auto-Encoder with Joint Clustering via Adjacency Sharing. - Xuelong Li 001; Hongyuan Zhang 001; Rui Zhang 017 (CoRR, 2020)

Graph Convolutional Auto-encoder with Bi-decoder and Adaptive-sharing Adjacency. - Rui Zhang 017; Yunxing Zhang; Xuelong Li 001 (CoRR, 2020)

Understand Love of Variety in Wireless Data Market Under Sponsored Data Plans. - Yi Zhao 011; Haiyang Wang; Hui Su; Liang Zhang; Rui Zhang 017; Dan Wang 002; Ke Xu 002 (IEEE J. Sel. Areas Commun., 2020)

Deep Fuzzy K-Means With Adaptive Loss and Entropy Regularization. - Rui Zhang 017; Xuelong Li 001; Hongyuan Zhang 001; Feiping Nie 001 (IEEE Trans. Fuzzy Syst., 2020)

Discriminative and Uncorrelated Feature Selection With Constrained Spectral Analysis in Unsupervised Learning. - Xuelong Li 001; Han Zhang 012; Rui Zhang 017; Feiping Nie 001 (IEEE Trans. Image Process., 2020)

Unsupervised Feature Selection Via Data Reconstruction and Side Information. - Rui Zhang 017; Xuelong Li 001 (IEEE Trans. Image Process., 2020)

Supervised Dimensionality Reduction Methods via Recursive Regression. - Yun Liu 021; Rui Zhang 017; Feiping Nie 001; Xuelong Li 001; Chris Ding (IEEE Trans. Neural Networks Learn. Syst., 2020)

Adaptive Robust Low-Rank 2-D Reconstruction With Steerable Sparsity. - Rui Zhang 017; Han Zhang 012; Xuelong Li 001; Feiping Nie 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Enhanced Principal Component Analysis under A Collaborative-Robust Framework. - Rui Zhang 017; Hongyuan Zhang 001; Xuelong Li 001 (CoRR, 2021)

Non-Gradient Manifold Neural Network. - Rui Zhang 017; Ziheng Jiao; Hongyuan Zhang 001; Xuelong Li 001 (CoRR, 2021)

Deep Contrastive Graph Representation via Adaptive Homotopy Learning. - Rui Zhang 017; Chengjun Lu; Ziheng Jiao; Xuelong Li 001 (CoRR, 2021)

AnchorGAE: General Data Clustering via O(n) Bipartite Graph Convolution. - Hongyuan Zhang 001; Jiankun Shi; Rui Zhang 017; Xuelong Li 001 (CoRR, 2021)

Robust multi-view fuzzy clustering via softmin. - Hongyuan Zhang 001; Rui Zhang 017; Xuelong Li 001; Yueshen Xu (Neurocomputing, 2021)

Robust Multi-Task Learning With Flexible Manifold Constraint. - Rui Zhang 017; Hongyuan Zhang 001; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Regularized Regression With Fuzzy Membership Embedding for Unsupervised Feature Selection. - Rui Zhang 017; Xuelong Li 001 (IEEE Trans. Fuzzy Syst., 2021)

Autoencoder Constrained Clustering With Adaptive Neighbors. - Xuelong Li 001; Rui Zhang 017; Qi Wang 009; Hongyuan Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Data Clustering via Uncorrelated Ridge Regression. - Rui Zhang 017; Xuelong Li 001; Tong Wu 006; Yi Zhao 011 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Deep Manifold Learning with Graph Mining. - Xuelong Li 001; Ziheng Jiao; Hongyuan Zhang 001; Rui Zhang 017 (CoRR, 2022)

Robust kernel principal component analysis with optimal mean. - Pei Li; Wenlin Zhang; Chengjun Lu; Rui Zhang 017; Xuelong Li 001 (Neural Networks, 2022)

Adaptive Graph Auto-Encoder for General Data Clustering. - Xuelong Li 001; Hongyuan Zhang 001; Rui Zhang 017 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Graph Convolution RPCA With Adaptive Graph. - Rui Zhang 017; Wenlin Zhang; Pei Li; Xuelong Li 001 (IEEE Trans. Image Process., 2022)

Semisupervised Feature Selection via Generalized Uncorrelated Constraint and Manifold Embedding. - Xuelong Li 001; Yunxing Zhang; Rui Zhang 017 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Unsupervised Feature Selection via Adaptive Graph Learning and Constraint. - Rui Zhang 017; Yunxing Zhang; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Maximum Joint Probability With Multiple Representations for Clustering. - Rui Zhang 017; Hongyuan Zhang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Unsupervised Feature Selection With Extended OLSDA via Embedding Nonnegative Manifold Structure. - Rui Zhang 017; Hongyuan Zhang 001; Xuelong Li 001; Sheng Yang (IEEE Trans. Neural Networks Learn. Syst., 2022)

Matrix Completion via Non-Convex Relaxation and Adaptive Correlation Learning. - Xuelong Li 001; Hongyuan Zhang 001; Rui Zhang 017 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Adaptive Spectral Rotation via Joint Cluster and Pairwise Structure. - Tong Wu 006; Rui Zhang 017; Ziheng Jiao; Xian Wei; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

Manifold Neural Network With Non-Gradient Optimization. - Rui Zhang 017; Ziheng Jiao; Hongyuan Zhang 001; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Self-Weighted Unsupervised LDA. - Xuelong Li 001; Yunxing Zhang; Rui Zhang 017 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Unsupervised Graph Embedding via Adaptive Graph Learning. - Rui Zhang 017; Yunxing Zhang; Chengjun Lu; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Friendship Inference in Mobile Social Networks: Exploiting Multi-Source Information With Two-Stage Deep Learning Framework. - Yi Zhao 011; Meina Qiao; Haiyang Wang; Rui Zhang 017; Dan Wang 002; Ke Xu 002 (IEEE/ACM Trans. Netw., 2023)

Non-Graph Data Clustering via $ mathcal {O}(n)$O(n) Bipartite Graph Convolution. - Hongyuan Zhang 001; Jiankun Shi; Rui Zhang 017; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Embedding Graph Auto-Encoder for Graph Clustering. - Hongyuan Zhang 001; Pei Li; Rui Zhang 017; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Graph manifold learning with non-gradient decision layer. - Ziheng Jiao; Hongyuan Zhang 001; Rui Zhang 017; Xuelong Li 001 (Neurocomputing, 2024)

Pivotal-Aware Principal Component Analysis. - Xuelong Li 001; Pei Li; Hongyuan Zhang 001; Kangjia Zhu; Rui Zhang 017 (IEEE Trans. Neural Networks Learn. Syst., 2024)