Accelerated Non-negative Latent Factor Analysis on High-Dimensional and Sparse Matrices via Generalized Momentum Method. - Zhigang Liu 006; Xin Luo 001; Shuai Li 002; Mingsheng Shang 001 (SMC, 2018)

Convergence Analysis of an SLF-NMU Algorithm for Non-negative Latent Factor Analysis on a High-Dimensional and Sparse Matrix. - Zhigang Liu 006; Xin Luo 001 (SMC, 2019)

Convergence Analysis of a Fast Non-negative Latent Factor Model. - Yue Zhou; Zhigang Liu 006; Xiaojiang Yu; Yajuan Wu (SMC, 2019)

Randomized latent factor model for high-dimensional and sparse matrices from industrial applications. - Mingsheng Shang 001; Xin Luo 001; Zhigang Liu 006; Jia Chen; Ye Yuan 014; MengChu Zhou (IEEE CAA J. Autom. Sinica, 2019)

Symmetry-constrained Non-negative Matrix Factorization Approach for Highly-Accurate Community Detection. - Zhigang Liu 006; Xin Luo 001; MengChu Zhou (CASE, 2021)

Adjusting Learning Depth in Nonnegative Latent Factorization of Tensors for Accurately Modeling Temporal Patterns in Dynamic QoS Data. - Xin Luo 001; Minzhi Chen; Hao Wu 061; Zhigang Liu 006; Huaqiang Yuan; MengChu Zhou (IEEE Trans Autom. Sci. Eng., 2021)

Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems. - Xin Luo 001; Mengchu Zhou; Shuai Li 002; Di Wu 056; Zhigang Liu 006; Mingsheng Shang 001 (IEEE Trans. Big Data, 2021)

Convergence Analysis of Single Latent Factor-Dependent, Nonnegative, and Multiplicative Update-Based Nonnegative Latent Factor Models. - Zhigang Liu 006; Xin Luo 001; Zidong Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Highly-Accurate Community Detection via Pointwise Mutual Information-Incorporated Symmetric Non-Negative Matrix Factorization. - Xin Luo 001; Zhigang Liu 006; Mingsheng Shang 001; Jungang Lou; MengChu Zhou (IEEE Trans. Netw. Sci. Eng., 2021)

A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method. - Xin Luo 001; Zhigang Liu 006; Shuai Li 002; Mingsheng Shang 001; Zidong Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Non-Negative Latent Factor Model Based on β-Divergence for Recommender Systems. - Xin Luo 001; Ye Yuan 014; MengChu Zhou; Zhigang Liu 006; Mingsheng Shang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Graph Regularized Nonnegative Latent Factor Analysis Model for Temporal Link Prediction in Cryptocurrency Transaction Networks. - Yue Zhou; Zhigang Liu 006; Ye Yuan 014 (ICNSC, 2022)

High-order Order Proximity-Incorporated, Symmetry and Graph-Regularized Nonnegative Matrix Factorization for Community Detection. - Zhigang Liu 006; Xin Luo 001 (CoRR, 2022)

Symmetry and Nonnegativity-Constrained Matrix Factorization for Community Detection. - Zhigang Liu 006; Guangxiao Yuan; Xin Luo 001 (IEEE CAA J. Autom. Sinica, 2022)

Symmetric Nonnegative Matrix Factorization-Based Community Detection Models and Their Convergence Analysis. - Xin Luo 001; Zhigang Liu 006; Long Jin 001; Yue Zhou; Mengchu Zhou (IEEE Trans. Neural Networks Learn. Syst., 2022)

Multi-Constrained Embedding for Accurate Community Detection on Undirected Networks. - Qingxian Wang 001; Xinyu Liu 022; Tianqi Shang; Zhigang Liu 006; Han Yang; Xin Luo 001 (IEEE Trans. Netw. Sci. Eng., 2022)

Generalized Nesterov's Acceleration-Incorporated, Non-Negative and Adaptive Latent Factor Analysis. - Xin Luo 001; Yue Zhou; Zhigang Liu 006; Lun Hu; MengChu Zhou (IEEE Trans. Serv. Comput., 2022)

An Adaptive Alternating-direction-method-based Nonnegative Latent Factor Model. - Yurong Zhong; Weiling Li; Zhigang Liu 006; Xin Luo 001 (ICDM (Workshops), 2023)

An Unsupervised Online Streaming Feature Selection Algorithm with Density Peak Clustering. - Yu Song; Zhigang Liu 006 (ICNSC, 2023)

A Constraints Fusion-induced Symmetric Nonnegative Matrix Factorization Approach for Community Detection. - Zhigang Liu 006; Xin Luo 001 (CoRR, 2023)

A Symmetry and Graph Regularized Nonnegative Matrix Factorization Model for Community Detection. - Zhigang Liu 006; Xin Luo 001 (CoRR, 2023)

Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community Detection. - Zhigang Liu 006; Xin Luo 001; Zidong Wang 001; Xiaohui Liu 001 (Inf. Fusion, 2023)

Fast and Accurate Non-Negative Latent Factor Analysis of High-Dimensional and Sparse Matrices in Recommender Systems. - Xin Luo 001; Yue Zhou; Zhigang Liu 006; MengChu Zhou (IEEE Trans. Knowl. Data Eng., 2023)

A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector. - Zhigang Liu 006; Yugen Yi; Xin Luo 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Symmetry and Graph Bi-Regularized Non-Negative Matrix Factorization for Precise Community Detection. - Zhigang Liu 006; Xin Luo 001; Mengchu Zhou (IEEE Trans Autom. Sci. Eng., 2024)

A Multi-Constrained Matrix Factorization Approach for Community Detection Relying on Alternating-Direction-Method of Multipliers. - Ying Shi; Zhigang Liu 006 (IEEE CAA J. Autom. Sinica, 2025)