Graph Regularized Structured Sparse Subspace Clustering. - Cong-Zhe You; Xiaojun Wu 001 (IScIDE (1), 2015)

Manifold locality constrained low-rank representation and its applications. - Cong-Zhe You; Xiaojun Wu 001; Vasile Palade; Abdulrahman Altahhan (IJCNN, 2016)

Combining graph embedding and sparse regression with structure low-rank representation for semi-supervised learning. - Cong-Zhe You; Vasile Palade; Xiaojun Wu 001 (Complex Adapt. Syst. Model., 2016)

Feature selection embedded subspace clustering with low-rank and locality constraints. - Cong-Zhe You; Xiaojun Wu 001 (ISC2, 2018)

Robust Structured Low-Rank Representation for Image Segmentation. - Cong-Zhe You; Vasile Palade; Xiaojun Wu 001 (Int. J. Artif. Intell. Tools, 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)

Robust structure low-rank representation in latent space. - Cong-Zhe You; Vasile Palade; Xiaojun Wu 001 (Eng. Appl. Artif. Intell., 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)

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)

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)

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)

Intrusion detection system combined enhanced random forest with SMOTE algorithm. - Tao Wu; Honghui Fan; Hongjin Zhu; Congzhe You; Hongyan Zhou; Xianzhen Huang (EURASIP J. Adv. Signal Process., 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)

Adaptive Graph Regularized Deep Semi-nonnegative Matrix Factorization for Data Representation. - Zhenqiu Shu; Yanwu Sun; Jiali Tang; Cong-Zhe You (Neural Process. Lett., 2022)

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

Improved Steel Surface Defect Detection Algorithm Based on YOLOv8. - Congzhe You; Haozheng Kong (IEEE Access, 2024)