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Zhenqiu Shu
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2020 – today
- 2024
- [j48]Zhenqiu Shu, Guangyao Zhuo, Jun Yu, Zhengtao Yu:
Deep supervision network with contrastive learning for zero-shot sketch-based image retrieval. Appl. Soft Comput. 167: 112474 (2024) - [j47]Zhenqiu Shu, Min Xia, Kaiwen Tan, Yongbing Zhang, Zhengtao Yu:
Multi-level multi-view network based on structural contrastive learning for scRNA-seq data clustering. Briefings Bioinform. 25(6) (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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