Zhigang Liu
Orcid: 0000-0002-3669-3764Affiliations:
- Chinese Academy of Sciences, Chongqing Institute of Green and Intelligent Technology, School of Computer Science and Technology, China
According to our database1,
Zhigang Liu
authored at least 25 papers
between 2018 and 2024.
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Bibliography
2024
Symmetry and Graph Bi-Regularized Non-Negative Matrix Factorization for Precise Community Detection.
IEEE Trans Autom. Sci. Eng., April, 2024
2023
A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023
Fast and Accurate Non-Negative Latent Factor Analysis of High-Dimensional and Sparse Matrices in Recommender Systems.
IEEE Trans. Knowl. Data Eng., April, 2023
Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community Detection.
Inf. Fusion, 2023
A Symmetry and Graph Regularized Nonnegative Matrix Factorization Model for Community Detection.
CoRR, 2023
A Constraints Fusion-induced Symmetric Nonnegative Matrix Factorization Approach for Community Detection.
CoRR, 2023
An Unsupervised Online Streaming Feature Selection Algorithm with Density Peak Clustering.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
2022
Generalized Nesterov's Acceleration-Incorporated, Non-Negative and Adaptive Latent Factor Analysis.
IEEE Trans. Serv. Comput., 2022
IEEE Trans. Netw. Sci. Eng., 2022
Symmetric Nonnegative Matrix Factorization-Based Community Detection Models and Their Convergence Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE CAA J. Autom. Sinica, 2022
High-order Order Proximity-Incorporated, Symmetry and Graph-Regularized Nonnegative Matrix Factorization for Community Detection.
CoRR, 2022
Graph Regularized Nonnegative Latent Factor Analysis Model for Temporal Link Prediction in Cryptocurrency Transaction Networks.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Highly-Accurate Community Detection via Pointwise Mutual Information-Incorporated Symmetric Non-Negative Matrix Factorization.
IEEE Trans. Netw. Sci. Eng., 2021
Convergence Analysis of Single Latent Factor-Dependent, Nonnegative, and Multiplicative Update-Based Nonnegative Latent Factor Models.
IEEE Trans. Neural Networks Learn. Syst., 2021
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems.
IEEE Trans. Big Data, 2021
Adjusting Learning Depth in Nonnegative Latent Factorization of Tensors for Accurately Modeling Temporal Patterns in Dynamic QoS Data.
IEEE Trans Autom. Sci. Eng., 2021
Symmetry-constrained Non-negative Matrix Factorization Approach for Highly-Accurate Community Detection.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
2019
Randomized latent factor model for high-dimensional and sparse matrices from industrial applications.
IEEE CAA J. Autom. Sinica, 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Convergence Analysis of an SLF-NMU Algorithm for Non-negative Latent Factor Analysis on a High-Dimensional and Sparse Matrix.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
2018
Accelerated Non-negative Latent Factor Analysis on High-Dimensional and Sparse Matrices via Generalized Momentum Method.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018