Zhigang Liu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Community Detection

Sparse Matrices

Negative Matrix Factorization

Factor Analysis

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans Autom. Sci. Eng.

IEEE Trans. Syst. Man Cybern. Syst.

Publications

Zhigang Liu, Xin Luo, Mengchu Zhou
Symmetry and Graph Bi-Regularized Non-Negative Matrix Factorization for Precise Community Detection. IEEE Trans Autom. Sci. Eng. 21 (2) (2024)
Xin Luo, Yue Zhou, Zhigang Liu, MengChu Zhou
Fast and Accurate Non-Negative Latent Factor Analysis of High-Dimensional and Sparse Matrices in Recommender Systems. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Zhigang Liu, Yugen Yi, Xin Luo
A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector. IEEE Trans. Emerg. Top. Comput. Intell. 7 (3) (2023)
Zhigang Liu, Xin Luo, Zidong Wang, Xiaohui Liu
Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community Detection. Inf. Fusion 89 (2023)
Xin Luo, Zhigang Liu, Long Jin, Yue Zhou, Mengchu Zhou
Symmetric Nonnegative Matrix Factorization-Based Community Detection Models and Their Convergence Analysis. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
Xin Luo, Yue Zhou, Zhigang Liu, Lun Hu, MengChu Zhou
Generalized Nesterov's Acceleration-Incorporated, Non-Negative and Adaptive Latent Factor Analysis. IEEE Trans. Serv. Comput. 15 (5) (2022)
Qingxian Wang, Xinyu Liu, Tianqi Shang, Zhigang Liu, Han Yang, Xin Luo
Multi-Constrained Embedding for Accurate Community Detection on Undirected Networks. IEEE Trans. Netw. Sci. Eng. 9 (5) (2022)
Yue Zhou, Zhigang Liu, Ye Yuan
Graph Regularized Nonnegative Latent Factor Analysis Model for Temporal Link Prediction in Cryptocurrency Transaction Networks. ICNSC (2022)
Xin Luo, Minzhi Chen, Hao Wu, Zhigang Liu, Huaqiang Yuan, MengChu Zhou
Adjusting Learning Depth in Nonnegative Latent Factorization of Tensors for Accurately Modeling Temporal Patterns in Dynamic QoS Data. IEEE Trans Autom. Sci. Eng. 18 (4) (2021)
Zhigang Liu, Xin Luo, MengChu Zhou
Symmetry-constrained Non-negative Matrix Factorization Approach for Highly-Accurate Community Detection. CASE (2021)
Zhigang Liu, Xin Luo, Zidong Wang
Convergence Analysis of Single Latent Factor-Dependent, Nonnegative, and Multiplicative Update-Based Nonnegative Latent Factor Models. IEEE Trans. Neural Networks Learn. Syst. 32 (4) (2021)
Xin Luo, Zhigang Liu, Shuai Li, Mingsheng Shang, Zidong Wang
A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method. IEEE Trans. Syst. Man Cybern. Syst. 51 (1) (2021)
Xin Luo, Mengchu Zhou, Shuai Li, Di Wu, Zhigang Liu, Mingsheng Shang
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems. IEEE Trans. Big Data 7 (1) (2021)
Xin Luo, Zhigang Liu, Mingsheng Shang, Jungang Lou, MengChu Zhou
Highly-Accurate Community Detection via Pointwise Mutual Information-Incorporated Symmetric Non-Negative Matrix Factorization. IEEE Trans. Netw. Sci. Eng. 8 (1) (2021)
Xin Luo, Ye Yuan, MengChu Zhou, Zhigang Liu, Mingsheng Shang
Non-Negative Latent Factor Model Based on β-Divergence for Recommender Systems. IEEE Trans. Syst. Man Cybern. Syst. 51 (8) (2021)
Zhigang Liu, Xin Luo
Convergence Analysis of an SLF-NMU Algorithm for Non-negative Latent Factor Analysis on a High-Dimensional and Sparse Matrix. SMC (2019)
Mingsheng Shang, Xin Luo, Zhigang Liu, Jia Chen, Ye Yuan, MengChu Zhou
Randomized latent factor model for high-dimensional and sparse matrices from industrial applications. IEEE CAA J. Autom. Sinica 6 (1) (2019)
Zhigang Liu, Xin Luo, Shuai Li, Mingsheng Shang
Accelerated Non-negative Latent Factor Analysis on High-Dimensional and Sparse Matrices via Generalized Momentum Method. SMC (2018)