Ye Yuan
Orcid: 0000-0002-1274-2285Affiliations:
- Chinese Academy of Sciences, Institute of Green and Intelligent Technology, Chongqing, China
According to our database1,
Ye Yuan
authored at least 24 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
Pseudo Gradient-Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024
Adaptive Divergence-Based Non-Negative Latent Factor Analysis of High-Dimensional and Incomplete Matrices From Industrial Applications.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
An ADRC-Incorporated Stochastic Gradient Descent Algorithm for Latent Factor Analysis.
CoRR, 2024
2023
IEEE Trans. Syst. Man Cybern. Syst., October, 2023
A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data.
IEEE Trans. Cybern., September, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
2022
An α-β-Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences.
IEEE Trans. Cybern., 2022
A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices.
IEEE Trans. Big Data, 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
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
A proportional-integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model.
Neurocomputing, 2021
Dynamic Community Detection via Kalman Filter-Incorporated Non-negative Matrix Factorization.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021
2020
A Generalized and Fast-converging Non-negative Latent Factor Model for Predicting User Preferences in Recommender Systems.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
A Nonlinear Proportional Integral Derivative-Incorporated Stochastic Gradient Descent-based Latent Factor Model.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020
Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Latent Factor Analysis.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
2019
Randomized latent factor model for high-dimensional and sparse matrices from industrial applications.
IEEE CAA J. Autom. Sinica, 2019
2018
A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications.
IEEE Trans. Ind. Informatics, 2018
Effects of preprocessing and training biases in latent factor models for recommender systems.
Neurocomputing, 2018
Performance of nonnegative latent factor models with β-distance functions in recommender systems.
Proceedings of the 15th IEEE International Conference on Networking, Sensing and Control, 2018
2017
Knowl. Based Syst., 2017
Effect of linear biases in latent factor models on high-dimensional and sparse matrices from recommender systems.
Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017