Zhenqiu Shu

According to our database, Zhenqiu Shu authored at least 47 papers between 2014 and 2024.

Collaborative distances:

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

2024

Supervised adaptive similarity consistent latent representation hashing.

Hongbin Wang, Rui Chen, Zhenqiu Shu, Yafei Zhang, Huafeng Li

Neurocomputing, February, 2024

Robust online hashing with label semantic enhancement for cross-modal retrieval.

Li Li, Zhenqiu Shu, Zhengtao Yu, Xiaojun Wu

Pattern Recognit., January, 2024

Dual attention transformer network for hyperspectral image classification.

Zhenqiu Shu, Yuyang Wang, Zhengtao Yu

Eng. Appl. Artif. Intell., January, 2024

2023

Adaptive semi-paired query hashing for multi-modal retrieval.

Jun Yu, Wei Huang, Zuhe Li, Kunlin Li, Zhenqiu Shu, Qi Wang, Jinge Jiao

Digit. Signal Process., November, 2023

Robust Dual-Graph Regularized Deep Matrix Factorization for Multi-view Clustering.

Zhenqiu Shu, Bin Li, Cong Hu, Zhengtao Yu, Xiaojun Wu

Neural Process. Lett., October, 2023

Multi-view clustering via label-embedded regularized NMF with dual-graph constraints.

Bin Li, Zhenqiu Shu, Yingbo Liu, Cunli Mao, Shengxiang Gao, Zhengtao Yu

Neurocomputing, September, 2023

Online supervised collective matrix factorization hashing for cross-modal retrieval.

Zhenqiu Shu, Li Li, Jun Yu, Donglin Zhang, Zhengtao Yu, Xiaojun Wu

Appl. Intell., June, 2023

Mixed noise face hallucination via adaptive weighted residual and nuclear-norm regularization.

Songze Tang, Zhenqiu Shu

Appl. Intell., May, 2023

Dual local learning regularized NMF with sparse and orthogonal constraints.

Zhenqiu Shu, Furong Zuo, Wenli Wu, Congzhe You

Appl. Intell., April, 2023

Robust supervised matrix factorization hashing with application to cross-modal retrieval.

Zhenqiu Shu, Kailing Yong, Donglin Zhang, Jun Yu, Zhengtao Yu, Xiaojun Wu

Neural Comput. Appl., March, 2023

Spatial-Spectral Split Attention Residual Network for Hyperspectral Image Classification.

Zhenqiu Shu, Zigao Liu, Jun Zhou, Songze Tang, Zhengtao Yu, Xiaojun Wu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

2022

Adaptive Graph Regularized Deep Semi-nonnegative Matrix Factorization for Data Representation.

Zhenqiu Shu, Yanwu Sun, Jiali Tang, Cong-Zhe You

Neural Process. Lett., 2022

Robust Graph Regularized NMF with Dissimilarity and Similarity Constraints for ScRNA-seq Data Clustering.

Zhenqiu Shu, Qinghan Long, Luping Zhang, Zhengtao Yu, Xiao-Jun Wu

J. Chem. Inf. Model., 2022

Robust Generalized Labeled Multi-Bernoulli Filter and Smoother for Multiple Target Tracking using Variational Bayesian.

Peng Li, Wenhui Wang, Junda Qiu, Congzhe You, Zhenqiu Shu

KSII Trans. Internet Inf. Syst., 2022

Specific class center guided deep hashing for cross-modal retrieval.

Zhenqiu Shu, Yibing Bai, Donglin Zhang, Jun Yu, Zhengtao Yu, Xiao-Jun Wu

Inf. Sci., 2022

Discrete asymmetric zero-shot hashing with application to cross-modal retrieval.

Zhenqiu Shu, Kailing Yong, Jun Yu, Shengxiang Gao, Cunli Mao, Zhengtao Yu

Neurocomputing, 2022

Hadamard matrix-guided multi-modal hashing for multi-modal retrieval.

Jun Yu, Wei Huang, Zuhe Li, Zhenqiu Shu, Liang Zhu

Digit. Signal Process., 2022

Adaptive multi-modal fusion hashing via Hadamard matrix.

Jun Yu, Donglin Zhang, Zhenqiu Shu, Feng Chen

Appl. Intell., 2022

Correntropy-based dual graph regularized nonnegative matrix factorization with L_p smoothness for data representation.

Zhenqiu Shu, Zonghui Weng, Zhengtao Yu, Cong-Zhe You, Zhen Liu, Songze Tang, Xiaojun Wu

Appl. Intell., 2022

2021

Multi-resolution dictionary collaborative representation for face recognition.

Zhen Liu, Xiaojun Wu, Zhenqiu Shu

Pattern Anal. Appl., 2021

Weighted Discriminative Sparse Representation for Image Classification.

Zhen Liu, Xiao-Jun Wu, Zhenqiu Shu, Hefeng Yin, Zhe Chen

Neural Process. Lett., 2021

Dual local learning regularized nonnegative matrix factorization and its semi-supervised extension for clustering.

Zhenqiu Shu, Yunmeng Zhang, Peng Li, Cong-Zhe You, Zhen Liu, Honghui Fan, Xiaojun Wu

Neural Comput. Appl., 2021

Deep semi-nonnegative matrix factorization with elastic preserving for data representation.

Zhenqiu Shu, Xiao-Jun Wu, Cong Hu, Cong-Zhe You, Honghui Fan

Multim. Tools Appl., 2021

Locality-Constrained Collaborative Representation with Multi-resolution Dictionary for Face Recognition.

Zhen Liu, Xiaojun Wu, Hefeng Yin, Tianyang Xu, Zhenqiu Shu

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

2020

Rank-constrained nonnegative matrix factorization for data representation.

Zhenqiu Shu, Xiao-Jun Wu, Cong-Zhe You, Zhen Liu, Peng Li, Honghui Fan, Feiyue Ye

Inf. Sci., 2020

Adaptive Online Multi-modal Hashing via Hadamard Matrix.

Jun Yu, Donglin Zhang, Zhenqiu Shu

CoRR, 2020

Graph Regularized Constrained Non-Negative Matrix Factorization With Lₚ Smoothness for Image Representation.

Zhenqiu Shu, Zonghui Weng, Yunmeng Zhang, Cong-Zhe You, Zhen Liu

IEEE Access, 2020

Locally Consistent Constrained Concept Factorization with L_p Smoothness for Image Representation.

Zonghui Weng, Zhenqiu Shu, Cong-Zhe You, Yunmeng Zhang, Xiao-Jun Wu

Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

2019

Sparsity augmented discriminative sparse representation for face recognition.

Zhen Liu, Xiao-Jun Wu, Zhenqiu Shu

Pattern Anal. Appl., 2019

Discriminative Feature Learning via Sparse Autoencoders with Label Consistency Constraints.

Cong Hu, Xiao-Jun Wu, Zhenqiu Shu

Neural Process. Lett., 2019

Bagging deep convolutional autoencoders trained with a mixture of real data and GAN-generated data.

Cong Hu, Xiao-Jun Wu, Zhenqiu Shu

KSII Trans. Internet Inf. Syst., 2019

Edge Detection With Chroma Components of Video Frame Based on Local Autocorrelation.

Hongjin Zhu, Honghui Fan, Zhenqiu Shu, Qian Yu, Xiaorong Zhao, Pengzhen Gan

IEEE Access, 2019

The Optimal Graph Regularized Sparse Coding with Application to Image Representation.

Zhenqiu Shu, Xiaojun Wu, Zhen Liu, Cong-Zhe You, Honghui Fan

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Concept Factorization with Optimal Graph Learning for Data Representation.

Zhenqiu Shu, Xiaojun Wu, Honghui Fan, Cong-Zhe You, Zhen Liu, Jie Zhang

Proceedings of the Image and Graphics - 10th International Conference, 2019

2018

Structure Preserving Sparse Coding for Data Representation.

Zhenqiu Shu, Xiao-Jun Wu, Cong Hu

Neural Process. Lett., 2018

Locality-regularized linear regression discriminant analysis for feature extraction.

Pu Huang, Tao Li, Zhenqiu Shu, Guangwei Gao, Geng Yang, Chengshan Qian

Inf. Sci., 2018

Multiple Graph Regularized Concept Factorization With Adaptive Weights.

Zhenqiu Shu, Xiaojun Wu, Pu Huang, Honghui Fan, Zhen Liu, Feiyue Ye

IEEE Access, 2018

Hyper-graph Regularized Multi-view Matrix Factorization for Vehicle Identification.

Bin Qian, Xiaobo Shen, Zhenqiu Shu, Xiguang Gu, Jin Huang, Jiabin Hu

Proceedings of the Cloud Computing and Security - 4th International Conference, 2018

2017

Parameter-less Auto-weighted multiple graph regularized Nonnegative Matrix Factorization for data representation.

Zhenqiu Shu, Xiaojun Wu, Honghui Fan, Pu Huang, Dong Wu, Cong Hu, Feiyue Ye

Knowl. Based Syst., 2017

Local and global regularized concept factorization for image clustering.

Bin Qian, Zhenmin Tang, Xiaobo Shen, Zhenqiu Shu

J. Electronic Imaging, 2017

Graph regularized multilayer concept factorization for data representation.

Xue Li, Xiaobo Shen, Zhenqiu Shu, Qiaolin Ye, Chunxia Zhao

Neurocomputing, 2017

Multiple Laplacian graph regularised low-rank representation with application to image representation.

Zhenqiu Shu, Hongfei Fan, Pu Huang, Dong Wu, Feiyue Ye, Xiaojun Wu

IET Image Process., 2017

2016

Local and global regularized sparse coding for data representation.

Zhenqiu Shu, Jun Zhou, Pu Huang, Xun Yu, Zhangjing Yang, Chunxia Zhao

Neurocomputing, 2016

2015

Local regularization concept factorization and its semi-supervised extension for image representation.

Zhenqiu Shu, Chunxia Zhao, Pu Huang

Neurocomputing, 2015

Multilayer manifold and sparsity constrainted nonnegative matrix factorization for hyperspectral unmixing.

Zhenqiu Shu, Jun Zhou, Lei Tong, Xiao Bai, Chunxia Zhao

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

AN ℓ1/2 regularized low-rank representation for hyperspectral imagery classification.

Sen Jia, Xiujun Zhang, Lin Deng, Zhenqiu Shu

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

Constrained Sparse Concept Coding Algorithm with Application to Image Representation.

Zhenqiu Shu, Chunxia Zhao, Pu Huang

KSII Trans. Internet Inf. Syst., 2014