A Correlation Analysis of Geomagnetic Field Characteristics in Geomagnetic Perceiving Navigation

Article Computer Science, Artificial Intelligence

Symmetric Nonnegative Matrix Factorization-Based Community Detection Models and Their Convergence Analysis

Xin Luo et al.

Summary: This study achieves highly accurate community detectors by adjusting the scaling factor in the SNMF model, leading to significant accuracy gains in community detection over the state-of-the-art detectors.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)

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Article Computer Science, Artificial Intelligence

A Fast Fuzzy Clustering Algorithm for Complex Networks via a Generalized Momentum Method

Lun Hu et al.

Summary: This article proposes a fast fuzzy clustering algorithm called F(2)CAN, which incorporates a generalized momentum method into FCAN to address the slow convergence issue, achieving better performance in empirical studies.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2022)

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Article Computer Science, Information Systems

Generalized Nesterov's Acceleration-Incorporated, Non-Negative and Adaptive Latent Factor Analysis

Xin Luo et al.

Summary: This study proposes a new model, GNALF, for extracting useful knowledge from high-dimensional sparse matrices. The GNALF model utilizes advanced optimization algorithms and adaptive parameters, achieving high convergence rate and computational efficiency, while maintaining comparable accuracy to other models.

IEEE TRANSACTIONS ON SERVICES COMPUTING (2022)

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Article Computer Science, Information Systems

Advancing Non-Negative Latent Factorization of Tensors With Diversified Regularization Schemes

Hao Wu et al.

Summary: This article investigates the non-negative latent factorization of tensors (NLFT) models with diversified regularization schemes to improve prediction accuracy in big data and services computing applications. Experimental results demonstrate that the proposed models better describe temporal patterns and achieve higher accuracy in predicting missing data. Moreover, their ensemble performs even better.

IEEE TRANSACTIONS ON SERVICES COMPUTING (2022)

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Article Biochemical Research Methods

HiSCF: leveraging higher-order structures for clustering analysis in biological networks

Lun Hu et al.

Summary: The HiSCF clustering framework utilizes higher-order structure information to identify functional modules in biological networks, outperforming state-of-the-art models in protein complex identification and gene co-expression module detection. This demonstrates the importance of considering higher-order network motifs for gaining new insights into the analysis of biological networks.

BIOINFORMATICS (2021)

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Article Automation & Control Systems

Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning

Xin Luo et al.

Summary: This study proposes a momentum-incorporated parallel stochastic gradient descent (MPSGD) algorithm to address the issue of low efficiency and scalability in recommender systems relying on latent factor analysis. By integrating momentum effects and parallelization, the MPSGD algorithm outperforms existing state-of-the-art ones in both computational efficiency and scalability for industrial applications.

IEEE-CAA JOURNAL OF AUTOMATICA SINICA (2021)

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Article Automation & Control Systems

Bio-Inspired Approach for Long-Range Underwater Navigation Using Model Predictive Control

Yongding Zhang et al.

Summary: The article introduces a novel underwater geomagnetic navigation method that utilizes only the declination and inclination components of the geomagnetic field for navigation without prior knowledge. A model predictive control algorithm is proposed for control and optimization of navigation trajectory. Simulation results validate the feasibility and accuracy of the proposed algorithm.

IEEE TRANSACTIONS ON CYBERNETICS (2021)

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Article Engineering, Marine