| 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 | 162 | 2020 |
| 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 | 108 | 2018 |
| 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 | 87 | 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 | 85 | 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 | 48 | 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 8 (3), 784-794, 2020 | 47 | 2020 |
| 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 | 46 | 2021 |
| Effects of preprocessing and training biases in latent factor models for recommender systems Y Yuan, X Luo, MS Shang Neurocomputing 275, 2019-2030, 2018 | 40 | 2018 |
| 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 | 34 | 2016 |
| 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 | 22 | 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 | 18 | 2021 |
| 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, 2022 | 16 | 2022 |
| 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 | 12 | 2017 |
| 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 | 11 | 2021 |
| 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 | 6 | 2019 |
| 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, 1435-1456, 2017 | 5 | 2017 |
| Adaptive regularization-incorporated latent factor analysis X Luo, Y Yuan, D Wu 2020 IEEE International Conference on Knowledge Graph (ICKG), 481-488, 2020 | 3 | 2020 |
| 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 | 3 | 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 | 2 | 2020 |
| Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Latent Factor Analysis Y Yuan, M Shang, X Luo ECAI 2020, 561-568, 2020 | 2 | 2020 |
Luo Xin (罗辛)Southwest University在 swu.edu.cn 的电子邮件经过验证
