Constrained Sparse Concept Coding Algorithm with Application to Image Representation. - Zhenqiu Shu; Chunxia Zhao; Pu Huang (KSII Trans. Internet Inf. Syst., 2014)

AN ℓ1/2 regularized low-rank representation for hyperspectral imagery classification. - Sen Jia 001; Xiujun Zhang; Lin Deng; Zhenqiu Shu (ICIP, 2015)

Multilayer manifold and sparsity constrainted nonnegative matrix factorization for hyperspectral unmixing. - Zhenqiu Shu; Jun Zhou 001; Lei Tong; Xiao Bai 001; Chunxia Zhao (ICIP, 2015)

Local regularization concept factorization and its semi-supervised extension for image representation. - Zhenqiu Shu; Chunxia Zhao; Pu Huang (Neurocomputing, 2015)

Local and global regularized sparse coding for data representation. - Zhenqiu Shu; Jun Zhou 001; Pu Huang; Xun Yu; Zhangjing Yang; Chunxia Zhao (Neurocomputing, 2016)

Multiple Laplacian graph regularised low-rank representation with application to image representation. - Zhenqiu Shu; Hongfei Fan; Pu Huang; Dong Wu; Feiyue Ye; Xiaojun Wu 001 (IET Image Process., 2017)

Graph regularized multilayer concept factorization for data representation. - Xue Li; Xiaobo Shen 001; Zhenqiu Shu; Qiaolin Ye; Chunxia Zhao (Neurocomputing, 2017)

Local and global regularized concept factorization for image clustering. - Bin Qian 006; Zhenmin Tang; Xiaobo Shen 001; Zhenqiu Shu (J. Electronic Imaging, 2017)

Parameter-less Auto-weighted multiple graph regularized Nonnegative Matrix Factorization for data representation. - Zhenqiu Shu; Xiaojun Wu 001; Honghui Fan; Pu Huang; Dong Wu; Cong Hu; Feiyue Ye (Knowl. Based Syst., 2017)

Hyper-graph Regularized Multi-view Matrix Factorization for Vehicle Identification. - Bin Qian 006; Xiaobo Shen 001; Zhenqiu Shu; Xiguang Gu; Jin Huang; Jiabin Hu (ICCCS (1), 2018)

Multiple Graph Regularized Concept Factorization With Adaptive Weights. - Zhenqiu Shu; Xiaojun Wu 001; Pu Huang; Honghui Fan; Zhen Liu 015; Feiyue Ye (IEEE Access, 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)

Structure Preserving Sparse Coding for Data Representation. - Zhenqiu Shu; Xiao-Jun Wu 001; Cong Hu (Neural Process. Lett., 2018)

Concept Factorization with Optimal Graph Learning for Data Representation. - Zhenqiu Shu; Xiaojun Wu 001; Honghui Fan; Cong-Zhe You; Zhen Liu 015; Jie Zhang 091 (ICIG (2), 2019)

The Optimal Graph Regularized Sparse Coding with Application to Image Representation. - Zhenqiu Shu; Xiaojun Wu 001; Zhen Liu 015; Cong-Zhe You; Honghui Fan (PRCV (2), 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)

Bagging deep convolutional autoencoders trained with a mixture of real data and GAN-generated data. - Cong Hu; Xiao-Jun Wu 001; Zhenqiu Shu (KSII Trans. Internet Inf. Syst., 2019)

Discriminative Feature Learning via Sparse Autoencoders with Label Consistency Constraints. - Cong Hu; Xiao-Jun Wu 001; Zhenqiu Shu (Neural Process. Lett., 2019)

Sparsity augmented discriminative sparse representation for face recognition. - Zhen Liu 015; Xiao-Jun Wu 001; Zhenqiu Shu (Pattern Anal. Appl., 2019)

Locally Consistent Constrained Concept Factorization with Lp Smoothness for Image Representation. - Zonghui Weng; Zhenqiu Shu; Cong-Zhe You; Yunmeng Zhang; Xiao-Jun Wu 001 (PRCV (2), 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 015 (IEEE Access, 2020)

Adaptive Online Multi-modal Hashing via Hadamard Matrix. - Jun Yu; Donglin Zhang; Zhenqiu Shu (CoRR, 2020)

Rank-constrained nonnegative matrix factorization for data representation. - Zhenqiu Shu; Xiao-Jun Wu 001; Cong-Zhe You; Zhen Liu 015; Peng Li; Honghui Fan; Feiyue Ye (Inf. Sci., 2020)

Locality-Constrained Collaborative Representation with Multi-resolution Dictionary for Face Recognition. - Zhen Liu 015; Xiaojun Wu 001; Hefeng Yin; Tianyang Xu; Zhenqiu Shu (PRCV (1), 2021)

Deep semi-nonnegative matrix factorization with elastic preserving for data representation. - Zhenqiu Shu; Xiao-Jun Wu 001; Cong Hu; Cong-Zhe You; Honghui Fan (Multim. Tools Appl., 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 015; Honghui Fan; Xiaojun Wu 001 (Neural Comput. Appl., 2021)

Weighted Discriminative Sparse Representation for Image Classification. - Zhen Liu 015; Xiao-Jun Wu 001; Zhenqiu Shu; Hefeng Yin; Zhe Chen 018 (Neural Process. Lett., 2021)

Multi-resolution dictionary collaborative representation for face recognition. - Zhen Liu 015; Xiaojun Wu 001; Zhenqiu Shu (Pattern Anal. Appl., 2021)

Correntropy-based dual graph regularized nonnegative matrix factorization with Lp smoothness for data representation. - Zhenqiu Shu; Zonghui Weng; Zhengtao Yu 001; Cong-Zhe You; Zhen Liu 015; Songze Tang; Xiaojun Wu 001 (Appl. Intell., 2022)

Adaptive multi-modal fusion hashing via Hadamard matrix. - Jun Yu 011; Donglin Zhang 001; Zhenqiu Shu; Feng Chen (Appl. Intell., 2022)

Hadamard matrix-guided multi-modal hashing for multi-modal retrieval. - Jun Yu 011; Wei Huang; Zuhe Li; Zhenqiu Shu; Liang Zhu (Digit. Signal Process., 2022)

Discrete asymmetric zero-shot hashing with application to cross-modal retrieval. - Zhenqiu Shu; Kailing Yong; Jun Yu 011; Shengxiang Gao; Cunli Mao; Zhengtao Yu 001 (Neurocomputing, 2022)

Specific class center guided deep hashing for cross-modal retrieval. - Zhenqiu Shu; Yibing Bai; Donglin Zhang 001; Jun Yu 011; Zhengtao Yu 001; Xiao-Jun Wu 001 (Inf. Sci., 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)

Robust Graph Regularized NMF with Dissimilarity and Similarity Constraints for ScRNA-seq Data Clustering. - Zhenqiu Shu; Qinghan Long; Luping Zhang; Zhengtao Yu 001; Xiao-Jun Wu 001 (J. Chem. Inf. Model., 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)

Spatial-Spectral Split Attention Residual Network for Hyperspectral Image Classification. - Zhenqiu Shu; Zigao Liu; Jun Zhou 001; Songze Tang; Zhengtao Yu 001; Xiaojun Wu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Robust supervised matrix factorization hashing with application to cross-modal retrieval. - Zhenqiu Shu; Kailing Yong; Donglin Zhang 001; Jun Yu 011; Zhengtao Yu 001; Xiaojun Wu 001 (Neural Comput. Appl., 2023)

Dual local learning regularized NMF with sparse and orthogonal constraints. - Zhenqiu Shu; Furong Zuo; Wenli Wu; Congzhe You (Appl. Intell., 2023)

Mixed noise face hallucination via adaptive weighted residual and nuclear-norm regularization. - Songze Tang; Zhenqiu Shu (Appl. Intell., 2023)

Online supervised collective matrix factorization hashing for cross-modal retrieval. - Zhenqiu Shu; Li Li; Jun Yu 011; Donglin Zhang 001; Zhengtao Yu 001; Xiaojun Wu 001 (Appl. Intell., 2023)

Multi-view clustering via label-embedded regularized NMF with dual-graph constraints. - Bin Li 006; Zhenqiu Shu; Yingbo Liu; Cunli Mao; Shengxiang Gao; Zhengtao Yu 001 (Neurocomputing, 2023)

Robust Dual-Graph Regularized Deep Matrix Factorization for Multi-view Clustering. - Zhenqiu Shu; Bin Li 006; Cong Hu; Zhengtao Yu 001; Xiaojun Wu 001 (Neural Process. Lett., 2023)

Adaptive semi-paired query hashing for multi-modal retrieval. - Jun Yu 011; Wei Huang; Zuhe Li; Kunlin Li; Zhenqiu Shu; Qi Wang; Jinge Jiao (Digit. Signal Process., 2023)

HCMHS: High-Order SNP Interactions Detection Based on Hierarchical Clustering and Multi-Task Harmony Search Algorithm. - Kaiwen Tan; Jin Tian; Yongbing Zhang 004; Zhenqiu Shu; Zhengtao Yu 001 (BIBM, 2024)

Deep supervision network with contrastive learning for zero-shot sketch-based image retrieval. - Zhenqiu Shu; Guangyao Zhuo; Jun Yu; Zhengtao Yu 001 (Appl. Soft Comput., 2024)

Multi-level multi-view network based on structural contrastive learning for scRNA-seq data clustering. - Zhenqiu Shu; Min Xia; Kaiwen Tan; Yongbing Zhang 004; Zhengtao Yu 001 (Briefings Bioinform., 2024)

Online hashing with partially known labels for cross-modal retrieval. - Zhenqiu Shu; Li Li; Zhengtao Yu 001 (Eng. Appl. Artif. Intell., 2024)

Unpaired robust hashing with noisy labels for zero-shot cross-modal retrieval. - Kailing Yong; Zhenqiu Shu; Zhengtao Yu 001 (Eng. Appl. Artif. Intell., 2024)

View-interactive attention information alignment-guided fusion for incomplete multi-view clustering. - Zhenqiu Shu; Yunwei Luo; Yuxin Huang 004; Cunli Mao; Zhengtao Yu 001 (Expert Syst. Appl., 2024)

Structure-guided feature and cluster contrastive learning for multi-view clustering. - Zhenqiu Shu; Bin Li 006; Cunli Mao; Shengxiang Gao; Zhengtao Yu 001 (Neurocomputing, 2024)

Zero-shot discrete hashing with adaptive class correlation for cross-modal retrieval. - Kailing Yong; Zhenqiu Shu; Jun Yu 011; Zhengtao Yu 001 (Knowl. Based Syst., 2024)

Two-stage zero-shot sparse hashing with missing labels for cross-modal retrieval. - Kailing Yong; Zhenqiu Shu; Hongbin Wang 002; Zhengtao Yu 001 (Pattern Recognit., 2024)

Dual attention transformer network for hyperspectral image classification. - Zhenqiu Shu; Yuyang Wang; Zhengtao Yu 001 (Eng. Appl. Artif. Intell., 2024)

Robust online hashing with label semantic enhancement for cross-modal retrieval. - Li Li; Zhenqiu Shu; Zhengtao Yu 001; Xiaojun Wu 001 (Pattern Recognit., 2024)

Supervised adaptive similarity consistent latent representation hashing. - Hongbin Wang; Rui Chen; Zhenqiu Shu; Yafei Zhang; Huafeng Li (Neurocomputing, 2024)

Proxy-Based Graph Convolutional Hashing for Cross-Modal Retrieval. - Yibing Bai; Zhenqiu Shu; Jun Yu 011; Zhengtao Yu 001; Xiao-Jun Wu 001 (IEEE Trans. Big Data, 2024)

Ambiguous Instance-Aware Contrastive Network with Multi-Level Matching for Multi-View Document Clustering. - Zhenqiu Shu; Teng Sun; Yunwei Luo; Zhengtao Yu 001 (AAAI, 2025)

Decoupled GNNs based on multi-view contrastive learning for scRNA-seq data clustering. - Xiaoyan Yu; Yixuan Ren; Min Xia; Zhenqiu Shu; Liehuang Zhu (Briefings Bioinform., 2025)

Self-supervised disentangled representation learning with distribution alignment for multi-view clustering. - Zhenqiu Shu; Teng Sun; Zhengtao Yu 001 (Digit. Signal Process., 2025)

Time-frequency perception guided multi-level contrastive learning for rotating machinery fault diagnosis. - Zhenqiu Shu; Dazheng Peng; Hongbin Wang 002; Cunli Mao; Zhengtao Yu 001 (Expert Syst. Appl., 2025)

scGANSL: Graph Attention Network with Subspace Learning for scRNA-seq Data Clustering. - Zhenqiu Shu; Yixuan Ren; Qinghan Long; Hongbin Wang 002; Zhengtao Yu 001 (J. Chem. Inf. Model., 2025)

Efficient Attention Transformer Network With Self-Similarity Feature Enhancement for Hyperspectral Image Classification. - Yuyang Wang; Zhenqiu Shu; Zhengtao Yu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Dual Feature Aggregation Network for Hyperspectral Image Classification. - Zhenqiu Shu; Zigao Liu; Zhengtao Yu 001; Xiaojun Wu 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Semantic Feature Graph Consistency with Contrastive Cluster Assignments for Multilingual Document Clustering. - Teng Sun; Zhenqiu Shu; Yuxin Huang 004; Hongbin Wang 002; Zhengtao Yu 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2025)

Deep Cross-Modal Hashing With Ranking Learning for Noisy Labels. - Zhenqiu Shu; Yibing Bai; Kailing Yong; Zhengtao Yu 001 (IEEE Trans. Big Data, 2025)

Deep Residual Coupled Prompt Learning for Zero-Shot Sketch-Based Image Retrieval. - Guangyao Zhuo; Zhenqiu Shu; Zhengtao Yu 001 (IEEE Trans. Big Data, 2025)