Yuan Ye
Yuan Ye
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences
Verifierad e-postadress på cigit.ac.cn
Citeras av
Citeras av
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
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, 2020
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
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
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
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
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, 2020
Effects of preprocessing and training biases in latent factor models for recommender systems
Y Yuan, X Luo, MS Shang
Neurocomputing 275, 2019-2030, 2018
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, 2021
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
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
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
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
Water bloom precursor analysis based on two direction S-rough set
H Yan, G Wang, D Wu, Y Huang, M Shang, J Xu, K Shan, X Shi, J Dong, ...
Water Resources Management 31 (5), 1435-1456, 2017
An adaptive latent factor model via particle swarm optimization for high-dimensional and sparse matrices
S Chen, Y Yuan, J Wang
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019
NUFFT applied to motion compensation in the Near-Space SAR imaging
H Yang, Y Yuan, J Wu, Y Huang, J Yang
2012 IEEE International Geoscience and Remote Sensing Symposium, 3883-3886, 2012
A Nonlinear Proportional Integral Derivative-Incorporated Stochastic Gradient Descent-based Latent Factor Model
J Li, Y Yuan
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
Effect of linear biases in latent factor models on high-dimensional and sparse matrices from recommender systems
Y Yuan, X Luo, MS Shang, XY Cai
2017 IEEE 14th International Conference on Networking, Sensing and Control …, 2017
Water quality online monitoring system integration of three gorges drawdown areas
Y Yuan, M Shang, G Wang, X Zhang
2015 5th International Conference on Computer Sciences and Automation …, 2016
Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Latent Factor Analysis
Y Yuan, M Shang, X Luo
ECAI 2020, 561-568, 2020
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