Zhenqiu Shu
Orcid: 0000-0001-5737-3383
According to our database1,
Zhenqiu Shu
authored at least 67 papers
between 2014 and 2025.
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Bibliography
2025
IEEE Trans. Big Data, June, 2025
IEEE Trans. Big Data, April, 2025
Semantic Feature Graph Consistency with Contrastive Cluster Assignments for Multilingual Document Clustering.
ACM Trans. Asian Low Resour. Lang. Inf. Process., January, 2025
IEEE Trans. Geosci. Remote. Sens., 2025
Efficient Attention Transformer Network With Self-Similarity Feature Enhancement for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
scGANSL: Graph Attention Network with Subspace Learning for scRNA-seq Data Clustering.
J. Chem. Inf. Model., 2025
Time-frequency perception guided multi-level contrastive learning for rotating machinery fault diagnosis.
Expert Syst. Appl., 2025
Self-supervised disentangled representation learning with distribution alignment for multi-view clustering.
Digit. Signal Process., 2025
Decoupled GNNs based on multi-view contrastive learning for scRNA-seq data clustering.
Briefings Bioinform., 2025
Ambiguous Instance-Aware Contrastive Network with Multi-Level Matching for Multi-View Document Clustering.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
IEEE Trans. Big Data, August, 2024
Neurocomputing, February, 2024
Pattern Recognit., January, 2024
Eng. Appl. Artif. Intell., January, 2024
Pattern Recognit., 2024
Zero-shot discrete hashing with adaptive class correlation for cross-modal retrieval.
Knowl. Based Syst., 2024
Neurocomputing, 2024
View-interactive attention information alignment-guided fusion for incomplete multi-view clustering.
Expert Syst. Appl., 2024
Eng. Appl. Artif. Intell., 2024
Eng. Appl. Artif. Intell., 2024
Multi-level multi-view network based on structural contrastive learning for scRNA-seq data clustering.
Briefings Bioinform., 2024
Deep supervision network with contrastive learning for zero-shot sketch-based image retrieval.
Appl. Soft Comput., 2024
HCMHS: High-Order SNP Interactions Detection Based on Hierarchical Clustering and Multi-Task Harmony Search Algorithm.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Digit. Signal Process., November, 2023
Neural Process. Lett., October, 2023
Multi-view clustering via label-embedded regularized NMF with dual-graph constraints.
Neurocomputing, September, 2023
Appl. Intell., June, 2023
Mixed noise face hallucination via adaptive weighted residual and nuclear-norm regularization.
Appl. Intell., May, 2023
Appl. Intell., April, 2023
Robust supervised matrix factorization hashing with application to cross-modal retrieval.
Neural Comput. Appl., March, 2023
Spatial-Spectral Split Attention Residual Network for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
2022
Adaptive Graph Regularized Deep Semi-nonnegative Matrix Factorization for Data Representation.
Neural Process. Lett., 2022
Robust Graph Regularized NMF with Dissimilarity and Similarity Constraints for ScRNA-seq Data Clustering.
J. Chem. Inf. Model., 2022
Robust Generalized Labeled Multi-Bernoulli Filter and Smoother for Multiple Target Tracking using Variational Bayesian.
KSII Trans. Internet Inf. Syst., 2022
Neurocomputing, 2022
Digit. Signal Process., 2022
Correntropy-based dual graph regularized nonnegative matrix factorization with L<sub>p</sub> smoothness for data representation.
Appl. Intell., 2022
2021
Pattern Anal. Appl., 2021
Neural Process. Lett., 2021
Dual local learning regularized nonnegative matrix factorization and its semi-supervised extension for clustering.
Neural Comput. Appl., 2021
Deep semi-nonnegative matrix factorization with elastic preserving for data representation.
Multim. Tools Appl., 2021
Locality-Constrained Collaborative Representation with Multi-resolution Dictionary for Face Recognition.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021
2020
Inf. Sci., 2020
Graph Regularized Constrained Non-Negative Matrix Factorization With Lₚ Smoothness for Image Representation.
IEEE Access, 2020
Locally Consistent Constrained Concept Factorization with L<sub>p</sub> Smoothness for Image Representation.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020
2019
Pattern Anal. Appl., 2019
Discriminative Feature Learning via Sparse Autoencoders with Label Consistency Constraints.
Neural Process. Lett., 2019
Bagging deep convolutional autoencoders trained with a mixture of real data and GAN-generated data.
KSII Trans. Internet Inf. Syst., 2019
IEEE Access, 2019
The Optimal Graph Regularized Sparse Coding with Application to Image Representation.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019
Proceedings of the Image and Graphics - 10th International Conference, 2019
2018
Neural Process. Lett., 2018
Inf. Sci., 2018
IEEE Access, 2018
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.
Knowl. Based Syst., 2017
J. Electronic Imaging, 2017
Neurocomputing, 2017
Multiple Laplacian graph regularised low-rank representation with application to image representation.
IET Image Process., 2017
2016
Neurocomputing, 2016
2015
Local regularization concept factorization and its semi-supervised extension for image representation.
Neurocomputing, 2015
Multilayer manifold and sparsity constrainted nonnegative matrix factorization for hyperspectral unmixing.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
AN ℓ1/2 regularized low-rank representation for hyperspectral imagery classification.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
2014
Constrained Sparse Concept Coding Algorithm with Application to Image Representation.
KSII Trans. Internet Inf. Syst., 2014