Rui Zhang - RankMe

70 papers A* 2A 3B 3Misc 5Journal 57

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Integrating deep clustering and multi-view graph neural networks for recommender system. Knowl. Based Syst. Jiaxuan Song, Yue Li, Duantengchuan Li, Xiaoguang Wang, Rui Zhang, Hui Zhang, Jinsong Chen
2025	B	`conf`	A PINN-Centric Approach to Battery SOH: Harmonizing LSTM Dynamics with Kalman Filter Precision. SMC Ke Xu, Fusen Guo, Rui Wang, Rui Zhang, Huadong Mo
2025	J	`jnl`	Adaptive Magnetic-Graph Clustering. IEEE Trans. Knowl. Data Eng. Rui Zhang, Yuelong Cheng, Xiang Shi, Xuelong Li
2024	J	`jnl`	Graph manifold learning with non-gradient decision layer. Neurocomputing Ziheng Jiao, Hongyuan Zhang, Rui Zhang, Xuelong Li
2024	J	`jnl`	Pivotal-Aware Principal Component Analysis. IEEE Trans. Neural Networks Learn. Syst. Xuelong Li, Pei Li, Hongyuan Zhang, Kangjia Zhu, Rui Zhang
2023	J	`jnl`	Adaptive Spectral Rotation via Joint Cluster and Pairwise Structure. IEEE Trans. Knowl. Data Eng. Tong Wu, Rui Zhang, Ziheng Jiao, Xian Wei, Xuelong Li
2023	J	`jnl`	Embedding Graph Auto-Encoder for Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. Hongyuan Zhang, Pei Li, Rui Zhang, Xuelong Li
2023	J	`jnl`	Friendship Inference in Mobile Social Networks: Exploiting Multi-Source Information With Two-Stage Deep Learning Framework. IEEE/ACM Trans. Netw. Yi Zhao, Meina Qiao, Haiyang Wang, Rui Zhang, Dan Wang, Ke Xu
2023	J	`jnl`	Manifold Neural Network With Non-Gradient Optimization. IEEE Trans. Pattern Anal. Mach. Intell. Rui Zhang, Ziheng Jiao, Hongyuan Zhang, Xuelong Li
2023	J	`jnl`	Matrix Completion via Non-Convex Relaxation and Adaptive Correlation Learning. IEEE Trans. Pattern Anal. Mach. Intell. Xuelong Li, Hongyuan Zhang, Rui Zhang
2023	J	`jnl`	Non-Graph Data Clustering via $\mathcal {O}(n)$O(n) Bipartite Graph Convolution. IEEE Trans. Pattern Anal. Mach. Intell. Hongyuan Zhang, Jiankun Shi, Rui Zhang, Xuelong Li
2023	J	`jnl`	Self-Weighted Unsupervised LDA. IEEE Trans. Neural Networks Learn. Syst. Xuelong Li, Yunxing Zhang, Rui Zhang
2023	J	`jnl`	Unsupervised Graph Embedding via Adaptive Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. Rui Zhang, Yunxing Zhang, Chengjun Lu, Xuelong Li
2022	J	`jnl`	Adaptive Graph Auto-Encoder for General Data Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Xuelong Li, Hongyuan Zhang, Rui Zhang
2022	J	`jnl`	Deep Manifold Learning with Graph Mining. CoRR Xuelong Li, Ziheng Jiao, Hongyuan Zhang, Rui Zhang
2022	J	`jnl`	Graph Convolution RPCA With Adaptive Graph. IEEE Trans. Image Process. Rui Zhang, Wenlin Zhang, Pei Li, Xuelong Li
2022	J	`jnl`	Matrix Completion via Non-Convex Relaxation and Adaptive Correlation Learning. CoRR Xuelong Li, Hongyuan Zhang, Rui Zhang
2022	J	`jnl`	Maximum Joint Probability With Multiple Representations for Clustering. IEEE Trans. Neural Networks Learn. Syst. Rui Zhang, Hongyuan Zhang, Xuelong Li
2022	J	`jnl`	Robust kernel principal component analysis with optimal mean. Neural Networks Pei Li, Wenlin Zhang, Chengjun Lu, Rui Zhang, Xuelong Li
2022	J	`jnl`	Semisupervised Feature Selection via Generalized Uncorrelated Constraint and Manifold Embedding. IEEE Trans. Neural Networks Learn. Syst. Xuelong Li, Yunxing Zhang, Rui Zhang
2022	J	`jnl`	Unsupervised Feature Selection With Extended OLSDA via Embedding Nonnegative Manifold Structure. IEEE Trans. Neural Networks Learn. Syst. Rui Zhang, Hongyuan Zhang, Xuelong Li, Sheng Yang
2022	J	`jnl`	Unsupervised Feature Selection via Adaptive Graph Learning and Constraint. IEEE Trans. Neural Networks Learn. Syst. Rui Zhang, Yunxing Zhang, Xuelong Li
2021	J	`jnl`	AnchorGAE: General Data Clustering via O(n) Bipartite Graph Convolution. CoRR Hongyuan Zhang, Jiankun Shi, Rui Zhang, Xuelong Li
2021	J	`jnl`	Autoencoder Constrained Clustering With Adaptive Neighbors. IEEE Trans. Neural Networks Learn. Syst. Xuelong Li, Rui Zhang, Qi Wang, Hongyuan Zhang
2021	J	`jnl`	Data Clustering via Uncorrelated Ridge Regression. IEEE Trans. Neural Networks Learn. Syst. Rui Zhang, Xuelong Li, Tong Wu, Yi Zhao
2021	J	`jnl`	Deep Contrastive Graph Representation via Adaptive Homotopy Learning. CoRR Rui Zhang, Chengjun Lu, Ziheng Jiao, Xuelong Li
2021	J	`jnl`	Enhanced Principal Component Analysis under A Collaborative-Robust Framework. CoRR Rui Zhang, Hongyuan Zhang, Xuelong Li
2021	J	`jnl`	Non-Gradient Manifold Neural Network. CoRR Rui Zhang, Ziheng Jiao, Hongyuan Zhang, Xuelong Li
2021	J	`jnl`	Regularized Regression With Fuzzy Membership Embedding for Unsupervised Feature Selection. IEEE Trans. Fuzzy Syst. Rui Zhang, Xuelong Li
2021	J	`jnl`	Robust Multi-Task Learning With Flexible Manifold Constraint. IEEE Trans. Pattern Anal. Mach. Intell. Rui Zhang, Hongyuan Zhang, Xuelong Li
2021	J	`jnl`	Robust multi-view fuzzy clustering via softmin. Neurocomputing Hongyuan Zhang, Rui Zhang, Xuelong Li, Yueshen Xu
2020	J	`jnl`	Adaptive Graph Auto-Encoder for General Data Clustering. CoRR Xuelong Li, Hongyuan Zhang, Rui Zhang
2020	J	`jnl`	Adaptive Robust Low-Rank 2-D Reconstruction With Steerable Sparsity. IEEE Trans. Neural Networks Learn. Syst. Rui Zhang, Han Zhang, Xuelong Li, Feiping Nie
2020	J	`jnl`	Deep Fuzzy K-Means With Adaptive Loss and Entropy Regularization. IEEE Trans. Fuzzy Syst. Rui Zhang, Xuelong Li, Hongyuan Zhang, Feiping Nie
2020	J	`jnl`	Discriminative and Uncorrelated Feature Selection With Constrained Spectral Analysis in Unsupervised Learning. IEEE Trans. Image Process. Xuelong Li, Han Zhang, Rui Zhang, Feiping Nie
2020	J	`jnl`	Embedding Graph Auto-Encoder with Joint Clustering via Adjacency Sharing. CoRR Xuelong Li, Hongyuan Zhang, Rui Zhang
2020	J	`jnl`	Graph Convolutional Auto-encoder with Bi-decoder and Adaptive-sharing Adjacency. CoRR Rui Zhang, Yunxing Zhang, Xuelong Li
2020	J	`jnl`	Supervised Dimensionality Reduction Methods via Recursive Regression. IEEE Trans. Neural Networks Learn. Syst. Yun Liu, Rui Zhang, Feiping Nie, Xuelong Li, Chris Ding
2020	J	`jnl`	Understand Love of Variety in Wireless Data Market Under Sponsored Data Plans. IEEE J. Sel. Areas Commun. Yi Zhao, Haiyang Wang, Hui Su, Liang Zhang, Rui Zhang, Dan Wang, Ke Xu
2020	J	`jnl`	Unsupervised Feature Selection Via Data Reconstruction and Side Information. IEEE Trans. Image Process. Rui Zhang, Xuelong Li
2019	J	`jnl`	A General Framework for Auto-Weighted Feature Selection via Global Redundancy Minimization. IEEE Trans. Image Process. Feiping Nie, Sheng Yang, Rui Zhang, Xuelong Li
2019	A	`conf`	Adaptive Feature Redundancy Minimization. CIKM Rui Zhang, Hanghang Tong, Yifan Hu
2019	J	`jnl`	An efficient framework for unsupervised feature selection. Neurocomputing Han Zhang, Rui Zhang, Feiping Nie, Xuelong Li
2019	J	`jnl`	Feature selection with multi-view data: A survey. Inf. Fusion Rui Zhang, Feiping Nie, Xuelong Li, Xian Wei
2019	J	`jnl`	From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort. CoRR Rui Zhang, Luca Giancardo, Danilo A. Peña, Yejin Kim, Hanghang Tong, Xiaoqian Jiang
2019	J	`jnl`	Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection. IEEE Trans. Neural Networks Learn. Syst. Xuelong Li, Han Zhang, Rui Zhang, Yun Liu, Feiping Nie
2019	J	`jnl`	Joint Learning of Fuzzy k-Means and Nonnegative Spectral Clustering With Side Information. IEEE Trans. Image Process. Rui Zhang, Feiping Nie, Muhan Guo, Xian Wei, Xuelong Li
2019	A	`conf`	Robust Embedded Deep K-means Clustering. CIKM Rui Zhang, Hanghang Tong, Yinglong Xia, Yada Zhu
2019	J	`jnl`	Robust Multiple Rank-k Bilinear Projections for Unsupervised Learning. IEEE Trans. Image Process. Feiping Nie, Han Zhang, Rui Zhang, Xuelong Li
2019	A*	`conf`	Robust Principal Component Analysis with Adaptive Neighbors. NeurIPS Rui Zhang, Hanghang Tong
2019	J	`jnl`	Semisupervised Learning With Parameter-Free Similarity of Label and Side Information. IEEE Trans. Neural Networks Learn. Syst. Rui Zhang, Feiping Nie, Xuelong Li
2019	A*	`conf`	TDFI: Two-stage Deep Learning Framework for Friendship Inference via Multi-source Information. INFOCOM Yi Zhao, Meina Qiao, Haiyang Wang, Rui Zhang, Dan Wang, Ke Xu, Qi Tan
2019	Misc	`conf`	Unsupervised Feature Selection Based on Reconstruction Error Minimization. ICASSP Sheng Yang, Rui Zhang, Feiping Nie, Xuelong Li
2019	J	`jnl`	Unsupervised Feature Selection via Adaptive Multimeasure Fusion. IEEE Trans. Neural Networks Learn. Syst. Rui Zhang, Feiping Nie, Yunhai Wang, Xuelong Li
2018	Misc	`conf`	A Generalized Uncorrelated Ridge Regression with Nonnegative Labels for Unsupervised Feature Selection. ICASSP Han Zhang, Rui Zhang, Feiping Nie, Xuelong Li
2018	J	`jnl`	Auto-weighted 2-dimensional maximum margin criterion. Pattern Recognit. Han Zhang, Feiping Nie, Rui Zhang, Xuelong Li
2018	A	`conf`	Embedding Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information. CIKM Muhan Guo, Rui Zhang, Feiping Nie, Xuelong Li
2018	B	`conf`	Feature Selection via Incorporating Stiefel Manifold in Relaxed K-Means. ICIP Guohao Cai, Rui Zhang, Feiping Nie, Xuelong Li
2018	J	`jnl`	Feature selection under regularized orthogonal least square regression with optimal scaling. Neurocomputing Rui Zhang, Feiping Nie, Xuelong Li
2018	J	`jnl`	Self-Weighted Supervised Discriminative Feature Selection. IEEE Trans. Neural Networks Learn. Syst. Rui Zhang, Feiping Nie, Xuelong Li
2018	J	`jnl`	Self-weighted discriminative feature selection via adaptive redundancy minimization. Neurocomputing Tong Wu, Yicang Zhou, Rui Zhang, Yanni Xiao, Feiping Nie
2017	J	`jnl`	A generalized power iteration method for solving quadratic problem on the Stiefel manifold. Sci. China Inf. Sci. Feiping Nie, Rui Zhang, Xuelong Li
2017	J	`jnl`	A generalized power iteration method for solving quadratic problem on the Stiefel manifold. CoRR Feiping Nie, Rui Zhang, Xuelong Li
2017	Misc	`conf`	Auto-weighted two-dimensional principal component analysis with robust outliers. ICASSP Rui Zhang, Feiping Nie, Xuelong Li
2017	Misc	`conf`	Embedded clustering via robust orthogonal least square discriminant analysis. ICASSP Rui Zhang, Feiping Nie, Xuelong Li
2017	B	`conf`	Projected clustering via robust orthogonal least square regression with optimal scaling. IJCNN Rui Zhang, Feiping Nie, Xuelong Li
2017	J	`jnl`	Regularized Class-Specific Subspace Classifier. IEEE Trans. Neural Networks Learn. Syst. Rui Zhang, Feiping Nie, Xuelong Li
2017	J	`jnl`	Self-weighted spectral clustering with parameter-free constraint. Neurocomputing Rui Zhang, Feiping Nie, Xuelong Li
2017	Misc	`conf`	Semi-supervised classification via both label and side information. ICASSP Rui Zhang, Feiping Nie, Xuelong Li
2006	J	`jnl`	MeRNA: a database of metal ion binding sites in RNA structures. Nucleic Acids Res. Liliana R. Stefan, Rui Zhang, Aaron G. Levitan, Donna K. Hendrix, Steven E. Brenner, Stephen R. Holbrook