Rui Zhang

发表

Robust kernel principal component analysis with optimal mean

Peibo Li, Wenlin Zhang, Chengjun Lu, 2022, Neural Networks.

Deep Manifold Learning with Graph Mining

Rui Zhang, Xuelong Li, Ziheng Jiao, 2022, ArXiv.

Maximum Joint Probability With Multiple Representations for Clustering

Xuelong Li, Rui Zhang, Hongyuan Zhang, 2021, IEEE Transactions on Neural Networks and Learning Systems.

LGD-GCN: Local and Global Disentangled Graph Convolutional Networks

Kaizhu Huang, Xinping Yi, Rui Zhang, 2021, ArXiv.

Regularized Class-Specific Subspace Classifier

Xuelong Li, Feiping Nie, Rui Zhang, 2017, IEEE Transactions on Neural Networks and Learning Systems.

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

Xuelong Li, Feiping Nie, Sheng Yang, 2019, IEEE Transactions on Image Processing.

Matrix Completion via Non-Convex Relaxation and Adaptive Correlation Learning

Rui Zhang, Xuelong Li, Hongyuan Zhang, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Semisupervised Feature Selection via Generalized Uncorrelated Constraint and Manifold Embedding

Xuelong Li, Rui Zhang, Yunxing Zhang, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Unsupervised Feature Selection via Adaptive Graph Learning and Constraint

Xuelong Li, Rui Zhang, Yunxing Zhang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Robust Multiple Rank- $k$ Bilinear Projections for Unsupervised Learning

Xuelong Li, Feiping Nie, Han Zhang, 2019, IEEE Transactions on Image Processing.

Robust Principal Component Analysis with Adaptive Neighbors

Hanghang Tong, Rui Zhang, Hanghang Tong, 2019, NeurIPS.

An efficient framework for unsupervised feature selection

Feiping Nie, Xuelong Li, Han Zhang, 2019, Neurocomputing.

Adaptive Spectral Rotation via Joint Cluster and Pairwise Structure

Xuelong Li, Rui Zhang, Ziheng Jiao, 2023, IEEE Transactions on Knowledge and Data Engineering.

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

Feiping Nie, Xuelong Li, Rui Zhang, 2020, IEEE Transactions on Image Processing.

Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection

Xuelong Li, Yun Liu, Feiping Nie, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Robust Embedded Deep K-means Clustering

Rui Zhang, Yada Zhu, Hanghang Tong, 2019, CIKM.

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

Xuelong Li, Feiping Nie, Xian Wei, 2019, IEEE Transactions on Image Processing.

Robust Multi-Task Learning With Flexible Manifold Constraint

Xuelong Li, Rui Zhang, Hongyuan Zhang, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Autoencoder Constrained Clustering With Adaptive Neighbors

Rui Zhang, Qi Wang, Xuelong Li, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Adaptive Graph Auto-Encoder for General Data Clustering

Xuelong Li, Rui Zhang, Hongyuan Zhang, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Non-Gradient Manifold Neural Network pdf

Xuelong Li, Rui Zhang, Ziheng Jiao, 2021, ArXiv.

Embedding Graph Auto-Encoder for Graph Clustering

Peibo Li, Rui Zhang, Xuelong Li, 2022, IEEE Transactions on Neural Networks and Learning Systems.

Deep Contrastive Graph Representation via Adaptive Homotopy Learning pdf

Xuelong Li, Rui Zhang, Chengjun Lu, 2021, ArXiv.

Non-Graph Data Clustering via

$\mathcal {O}(n)$

O(n)

Xuelong Li, Rui Zhang, Xuelong Li, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Exploiting Offset-guided Network for Pose Estimation and Tracking pdf

Hailun Xia, Guan Huang, Peng Li, 2019, CVPR Workshops.

Unsupervised Graph Embedding via Adaptive Graph Learning

Chengjun Lu, Rui Zhang, Xuelong Li, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Non-Graph Data Clustering via OðnÞ Bipartite Graph Convolution

Rui Zhang, Xuelong Li, Hongyuan Zhang, 2023 .

Self-Weighted Unsupervised LDA

Xuelong Li, Rui Zhang, Yunxing Zhang, 2021, IEEE Transactions on Neural Networks and Learning Systems.

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

Rui Zhang, Xuelong Li, Hongyuan Zhang, 2020, ArXiv.

WGCN: Graph Convolutional Networks with Weighted Structural Features

Jianzhong Qi, Rui Zhang, Yunxiang Zhao, 2021, SIGIR.

Enhanced Principal Component Analysis under A Collaborative-Robust Framework pdf

Xuelong Li, Rui Zhang, Hongyuan Zhang, 2021, ArXiv.

Supervised Dimensionality Reduction Methods via Recursive Regression

Feiping Nie, Xuelong Li, Rui Zhang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

WGCN: Graph Convolutional Networks with Weighted Structural Features

Jianzhong Qi, Rui Zhang, Yunxiang Zhao, 2021, SIGIR.

Graph Convolution RPCA With Adaptive Graph

Peibo Li, Rui Zhang, Xuelong Li, 2022, IEEE Transactions on Image Processing.

Adaptive Feature Redundancy Minimization

Rui Zhang, Yifan Hu, Hanghang Tong, 2019, CIKM.

Unsupervised Feature Selection With Extended OLSDA via Embedding Nonnegative Manifold Structure

Xuelong Li, Rui Zhang, Hongyuan Zhang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Self-Weighted Supervised Discriminative Feature Selection

Feiping Nie, Rui Zhang, Xuelong Li, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Robust Tracking via Multi-level Multi-feature Templates

Lianyang Ma, Rui Zhang, Xueli Bai, 2014 .

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

Xuelong Li, Rui Zhang, Hongyuan Zhang, 2021, ArXiv.