Stebėti
Ye Yuan(袁野)
Ye Yuan(袁野)
Patvirtintas el. paštas swu.edu.cn
Pavadinimas
Cituota
Cituota
Metai
Position-transitional particle swarm optimization-incorporated latent factor analysis
X Luo, Y Yuan, S Chen, N Zeng, Z Wang
IEEE Transactions on Knowledge and Data Engineering 34 (8), 3958-3970, 2020
2862020
Randomized latent factor model for high-dimensional and sparse matrices from industrial applications
M Shang, X Luo, Z Liu, J Chen, Y Yuan, MC Zhou
IEEE/CAA Journal of Automatica Sinica 6 (1), 131-141, 2018
1312018
Non-negative latent factor model based on β-divergence for recommender systems
L Xin, Y Yuan, MC Zhou, Z Liu, M Shang
IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (8), 4612-4623, 2019
1082019
A highly accurate framework for self-labeled semisupervised classification in industrial applications
D Wu, X Luo, G Wang, M Shang, Y Yuan, H Yan
IEEE Transactions on Industrial Informatics 14 (3), 909-920, 2017
1062017
A multilayered-and-randomized latent factor model for high-dimensional and sparse matrices
Y Yuan, Q He, X Luo, M Shang
IEEE transactions on big data 8 (3), 784-794, 2020
1032020
An α–β-divergence-generalized recommender for highly accurate predictions of missing user preferences
M Shang, Y Yuan, X Luo, MC Zhou
IEEE transactions on cybernetics 52 (8), 8006-8018, 2021
1002021
A Kalman-filter-incorporated latent factor analysis model for temporally dynamic sparse data
Y Yuan, X Luo, M Shang, Z Wang
IEEE Transactions on Cybernetics 53 (9), 5788-5801, 2022
862022
Water eutrophication evaluation based on rough set and petri nets: A case study in Xiangxi-River, Three Gorges Reservoir
H Yan, Y Huang, G Wang, X Zhang, M Shang, L Feng, J Dong, K Shan, ...
Ecological Indicators 69, 463-472, 2016
562016
Effects of preprocessing and training biases in latent factor models for recommender systems
Y Yuan, X Luo, MS Shang
Neurocomputing 275, 2019-2030, 2018
542018
Pseudo gradient-adjusted particle swarm optimization for accurate adaptive latent factor analysis
X Luo, J Chen, Y Yuan, Z Wang
IEEE Transactions on Systems, Man, and Cybernetics: Systems 54 (4), 2213-2226, 2024
412024
Spatial and temporal relation rule acquisition of eutrophication in Da’ning River based on rough set theory
HY Yan, XR Zhang, JH Dong, MS Shang, K Shan, D Wu, Y Yuan, X Wang, ...
Ecological Indicators 66, 180-189, 2016
352016
An adaptive divergence-based non-negative latent factor model
Y Yuan, R Wang, G Yuan, L Xin
IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (10), 6475-6487, 2023
332023
A generalized and fast-converging non-negative latent factor model for predicting user preferences in recommender systems
Y Yuan, X Luo, M Shang, D Wu
Proceedings of The Web Conference 2020, 498-507, 2020
302020
Hyper-parameter-evolutionary latent factor analysis for high-dimensional and sparse data from recommender systems
J Chen, Y Yuan, T Ruan, J Chen, X Luo
Neurocomputing 421, 316-328, 2021
282021
Sdgnn: Symmetry-preserving dual-stream graph neural networks
J Chen, Y Yuan, X Luo
IEEE/CAA journal of automatica sinica 11 (7), 1717-1719, 2024
262024
A fuzzy PID-incorporated stochastic gradient descent algorithm for fast and accurate latent factor analysis
Y Yuan, J Li, X Luo
IEEE Transactions on Fuzzy Systems, 2024
252024
A nonlinear PID-incorporated adaptive stochastic gradient descent algorithm for latent factor analysis
J Li, X Luo, Y Yuan, S Gao
IEEE Transactions on Automation Science and Engineering, 2023
222023
Adaptive divergence-based non-negative latent factor analysis of high-dimensional and incomplete matrices from industrial applications
Y Yuan, X Luo, MC Zhou
IEEE Transactions on Emerging Topics in Computational Intelligence 8 (2 …, 2024
212024
A proportional-integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model
J Li, Y Yuan, T Ruan, J Chen, X Luo
Neurocomputing 427, 29-39, 2021
192021
Performance of latent factor models with extended linear biases
J Chen, X Luo, Y Yuan, M Shang, Z Ming, Z Xiong
Knowledge-Based Systems 123, 128-136, 2017
152017
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