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ORCIDZhenqiu Shu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j46]Zhenqiu Shu, Yuyang Wang, Zhengtao Yu:
Dual attention transformer network for hyperspectral image classification. Eng. Appl. Artif. Intell. 127(Part B): 107351 (2024)- [j45]Kailing Yong, Zhenqiu Shu, Zhengtao Yu:
Unpaired robust hashing with noisy labels for zero-shot cross-modal retrieval. Eng. Appl. Artif. Intell. 133: 108197 (2024) - [j44]Zhenqiu Shu, Li Li, Zhengtao Yu:
Online hashing with partially known labels for cross-modal retrieval. Eng. Appl. Artif. Intell. 138: 109367 (2024) - [j43]Zhenqiu Shu
, Yunwei Luo, Yuxin Huang, Cunli Mao, Zhengtao Yu:
View-interactive attention information alignment-guided fusion for incomplete multi-view clustering. Expert Syst. Appl. 252: 124258 (2024) - [j42]Hongbin Wang, Rui Chen, Zhenqiu Shu, Yafei Zhang, Huafeng Li:
Supervised adaptive similarity consistent latent representation hashing. Neurocomputing 570: 127113 (2024) - [j41]Zhenqiu Shu, Bin Li, Cunli Mao, Shengxiang Gao, Zhengtao Yu:
Structure-guided feature and cluster contrastive learning for multi-view clustering. Neurocomputing 582: 127555 (2024) - [j40]Kailing Yong, Zhenqiu Shu, Jun Yu, Zhengtao Yu:
Zero-shot discrete hashing with adaptive class correlation for cross-modal retrieval. Knowl. Based Syst. 295: 111820 (2024) - [j39]Li Li, Zhenqiu Shu, Zhengtao Yu, Xiaojun Wu:
Robust online hashing with label semantic enhancement for cross-modal retrieval. Pattern Recognit. 145: 109972 (2024) - [j38]Kailing Yong, Zhenqiu Shu, Hongbin Wang, Zhengtao Yu:
Two-stage zero-shot sparse hashing with missing labels for cross-modal retrieval. Pattern Recognit. 155: 110717 (2024) - [j37]Yibing Bai, Zhenqiu Shu, Jun Yu, Zhengtao Yu, Xiao-Jun Wu:
Proxy-Based Graph Convolutional Hashing for Cross-Modal Retrieval. IEEE Trans. Big Data 10(4): 371-385 (2024) - 2023
- [j36]Zhenqiu Shu, Furong Zuo, Wenli Wu, Congzhe You:
Dual local learning regularized NMF with sparse and orthogonal constraints. Appl. Intell. 53(7): 7713-7727 (2023) - [j35]Songze Tang, Zhenqiu Shu:
Mixed noise face hallucination via adaptive weighted residual and nuclear-norm regularization. Appl. Intell. 53(10): 11979-11996 (2023) - [j34]Zhenqiu Shu, Li Li, Jun Yu, Donglin Zhang, Zhengtao Yu, Xiaojun Wu:
Online supervised collective matrix factorization hashing for cross-modal retrieval. Appl. Intell. 53(11): 14201-14218 (2023) - [j33]Jun Yu, Wei Huang, Zuhe Li, Kunlin Li, Zhenqiu Shu, Qi Wang, Jinge Jiao:
Adaptive semi-paired query hashing for multi-modal retrieval. Digit. Signal Process. 143: 104226 (2023) - [j32]Bin Li, Zhenqiu Shu, Yingbo Liu, Cunli Mao, Shengxiang Gao, Zhengtao Yu:
Multi-view clustering via label-embedded regularized NMF with dual-graph constraints. Neurocomputing 551: 126521 (2023) - [j31]Zhenqiu Shu, Kailing Yong, Donglin Zhang, Jun Yu, Zhengtao Yu, Xiaojun Wu:
Robust supervised matrix factorization hashing with application to cross-modal retrieval. Neural Comput. Appl. 35(9): 6665-6684 (2023) - [j30]Zhenqiu Shu, Bin Li, Cong Hu, Zhengtao Yu, Xiaojun Wu:
Robust Dual-Graph Regularized Deep Matrix Factorization for Multi-view Clustering. Neural Process. Lett. 55(5): 6067-6087 (2023) - [j29]Zhenqiu Shu, Zigao Liu, Jun Zhou, Songze Tang, Zhengtao Yu, Xiaojun Wu:
Spatial-Spectral Split Attention Residual Network for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 419-430 (2023) - 2022
- [j28]Zhenqiu Shu, Zonghui Weng, Zhengtao Yu, Cong-Zhe You, Zhen Liu, Songze Tang, Xiaojun Wu:
Correntropy-based dual graph regularized nonnegative matrix factorization with Lp smoothness for data representation. Appl. Intell. 52(7): 7653-7669 (2022) - [j27]Jun Yu, Donglin Zhang, Zhenqiu Shu, Feng Chen:
Adaptive multi-modal fusion hashing via Hadamard matrix. Appl. Intell. 52(15): 17170-17184 (2022) - [j26]Jun Yu, Wei Huang, Zuhe Li, Zhenqiu Shu, Liang Zhu:
Hadamard matrix-guided multi-modal hashing for multi-modal retrieval. Digit. Signal Process. 130: 103743 (2022) - [j25]Zhenqiu Shu, Kailing Yong, Jun Yu, Shengxiang Gao, Cunli Mao, Zhengtao Yu:
Discrete asymmetric zero-shot hashing with application to cross-modal retrieval. Neurocomputing 511: 366-379 (2022) - [j24]Zhenqiu Shu, Yibing Bai, Donglin Zhang, Jun Yu, Zhengtao Yu, Xiao-Jun Wu:
Specific class center guided deep hashing for cross-modal retrieval. Inf. Sci. 609: 304-318 (2022) - [j23]Peng Li, Wenhui Wang, Junda Qiu, Congzhe You, Zhenqiu Shu:
Robust Generalized Labeled Multi-Bernoulli Filter and Smoother for Multiple Target Tracking using Variational Bayesian. KSII Trans. Internet Inf. Syst. 16(3): 908-928 (2022) - [j22]Zhenqiu Shu, Qinghan Long, Luping Zhang, Zhengtao Yu, Xiao-Jun Wu:
Robust Graph Regularized NMF with Dissimilarity and Similarity Constraints for ScRNA-seq Data Clustering. J. Chem. Inf. Model. 62(23): 6271-6286 (2022) - [j21]Zhenqiu Shu, Yanwu Sun, Jiali Tang, Cong-Zhe You:
Adaptive Graph Regularized Deep Semi-nonnegative Matrix Factorization for Data Representation. Neural Process. Lett. 54(6): 5721-5739 (2022) - 2021
- [j20]Zhenqiu Shu, Xiao-Jun Wu, Cong Hu, Cong-Zhe You, Honghui Fan:
Deep semi-nonnegative matrix factorization with elastic preserving for data representation. Multim. Tools Appl. 80(2): 1707-1724 (2021) - [j19]Zhenqiu Shu, Yunmeng Zhang, Peng Li, Cong-Zhe You, Zhen Liu, Honghui Fan, Xiaojun Wu:
Dual local learning regularized nonnegative matrix factorization and its semi-supervised extension for clustering. Neural Comput. Appl. 33(11): 6213-6231 (2021) - [j18]Zhen Liu, Xiao-Jun Wu, Zhenqiu Shu, Hefeng Yin, Zhe Chen:
Weighted Discriminative Sparse Representation for Image Classification. Neural Process. Lett. 53(3): 2047-2065 (2021) - [j17]Zhen Liu, Xiaojun Wu, Zhenqiu Shu:
Multi-resolution dictionary collaborative representation for face recognition. Pattern Anal. Appl. 24(4): 1793-1803 (2021) - [c7]Zhen Liu, Xiaojun Wu, Hefeng Yin, Tianyang Xu, Zhenqiu Shu:
Locality-Constrained Collaborative Representation with Multi-resolution Dictionary for Face Recognition. PRCV (1) 2021: 55-66 - 2020
- [j16]Zhenqiu Shu, Zonghui Weng, Yunmeng Zhang, Cong-Zhe You, Zhen Liu:
Graph Regularized Constrained Non-Negative Matrix Factorization With Lₚ Smoothness for Image Representation. IEEE Access 8: 133777-133786 (2020) - [j15]Zhenqiu Shu, Xiao-Jun Wu, Cong-Zhe You, Zhen Liu, Peng Li, Honghui Fan, Feiyue Ye:
Rank-constrained nonnegative matrix factorization for data representation. Inf. Sci. 528: 133-146 (2020) - [c6]Zonghui Weng, Zhenqiu Shu, Cong-Zhe You, Yunmeng Zhang, Xiao-Jun Wu:
Locally Consistent Constrained Concept Factorization with Lp Smoothness for Image Representation. PRCV (2) 2020: 569-580 - [i1]Jun Yu, Donglin Zhang, Zhenqiu Shu:
Adaptive Online Multi-modal Hashing via Hadamard Matrix. CoRR abs/2009.12148 (2020)
2010 – 2019
- 2019
- [j14]Hongjin Zhu, Honghui Fan, Zhenqiu Shu, Qian Yu, Xiaorong Zhao, Pengzhen Gan:
Edge Detection With Chroma Components of Video Frame Based on Local Autocorrelation. IEEE Access 7: 48543-48550 (2019) - [j13]Cong Hu, Xiao-Jun Wu, Zhenqiu Shu:
Bagging deep convolutional autoencoders trained with a mixture of real data and GAN-generated data. KSII Trans. Internet Inf. Syst. 13(11): 5427-5445 (2019) - [j12]Cong Hu, Xiao-Jun Wu, Zhenqiu Shu:
Discriminative Feature Learning via Sparse Autoencoders with Label Consistency Constraints. Neural Process. Lett. 50(2): 1079-1091 (2019) - [j11]Zhen Liu, Xiao-Jun Wu, Zhenqiu Shu:
Sparsity augmented discriminative sparse representation for face recognition. Pattern Anal. Appl. 22(4): 1527-1535 (2019) - [c5]Zhenqiu Shu, Xiaojun Wu, Honghui Fan, Cong-Zhe You, Zhen Liu, Jie Zhang:
Concept Factorization with Optimal Graph Learning for Data Representation. ICIG (2) 2019: 74-84 - [c4]Zhenqiu Shu, Xiaojun Wu, Zhen Liu, Cong-Zhe You, Honghui Fan:
The Optimal Graph Regularized Sparse Coding with Application to Image Representation. PRCV (2) 2019: 91-101 - 2018
- [j10]Zhenqiu Shu, Xiaojun Wu, Pu Huang, Honghui Fan, Zhen Liu, Feiyue Ye:
Multiple Graph Regularized Concept Factorization With Adaptive Weights. IEEE Access 6: 64938-64945 (2018) - [j9]Pu Huang, Tao Li, Zhenqiu Shu, Guangwei Gao, Geng Yang, Chengshan Qian:
Locality-regularized linear regression discriminant analysis for feature extraction. Inf. Sci. 429: 164-176 (2018) - [j8]Zhenqiu Shu, Xiao-Jun Wu, Cong Hu:
Structure Preserving Sparse Coding for Data Representation. Neural Process. Lett. 48(3): 1705-1719 (2018) - [c3]Bin Qian, Xiaobo Shen, Zhenqiu Shu, Xiguang Gu, Jin Huang, Jiabin Hu:
Hyper-graph Regularized Multi-view Matrix Factorization for Vehicle Identification. ICCCS (1) 2018: 543-554 - 2017
- [j7]Zhenqiu Shu, Hongfei Fan, Pu Huang, Dong Wu, Feiyue Ye, Xiaojun Wu:
Multiple Laplacian graph regularised low-rank representation with application to image representation. IET Image Process. 11(6): 370-378 (2017) - [j6]Xue Li, Xiaobo Shen, Zhenqiu Shu, Qiaolin Ye, Chunxia Zhao:
Graph regularized multilayer concept factorization for data representation. Neurocomputing 238: 139-151 (2017) - [j5]Bin Qian, Zhenmin Tang, Xiaobo Shen, Zhenqiu Shu:
Local and global regularized concept factorization for image clustering. J. Electronic Imaging 26(1): 13003 (2017) - [j4]Zhenqiu Shu, Xiaojun Wu, Honghui Fan, Pu Huang, Dong Wu, Cong Hu, Feiyue Ye:
Parameter-less Auto-weighted multiple graph regularized Nonnegative Matrix Factorization for data representation. Knowl. Based Syst. 131: 105-112 (2017) - 2016
- [j3]Zhenqiu Shu, Jun Zhou, Pu Huang, Xun Yu, Zhangjing Yang, Chunxia Zhao:
Local and global regularized sparse coding for data representation. Neurocomputing 175: 188-197 (2016) - 2015
- [j2]Zhenqiu Shu, Chunxia Zhao, Pu Huang:
Local regularization concept factorization and its semi-supervised extension for image representation. Neurocomputing 158: 1-12 (2015) - [c2]Sen Jia, Xiujun Zhang, Lin Deng, Zhenqiu Shu:
AN ℓ1/2 regularized low-rank representation for hyperspectral imagery classification. ICIP 2015: 1777-1780 - [c1]Zhenqiu Shu, Jun Zhou, Lei Tong, Xiao Bai, Chunxia Zhao:
Multilayer manifold and sparsity constrainted nonnegative matrix factorization for hyperspectral unmixing. ICIP 2015: 2174-2178 - 2014
- [j1]Zhenqiu Shu, Chunxia Zhao, Pu Huang:
Constrained Sparse Concept Coding Algorithm with Application to Image Representation. KSII Trans. Internet Inf. Syst. 8(9): 3211-3230 (2014)
Coauthor Index
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