Suivre
Luo Xin (罗辛)
Luo Xin (罗辛)
FIEEE, Dean of CCIS&SSE, Southwest University
Adresse e-mail validée de swu.edu.cn
Titre
Citée par
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Année
An Efficient Non-negative Matrix-factorization-based Approach to Collaborative-filtering for Recommender Systems
X Luo, M Zhou, Y Xia, Q Zhu
IEEE Transactions on Industiral Informatics 10 (2), 1273-1284, 2014
7392014
Manipulability optimization of redundant manipulators using dynamic neural networks
L Jin, S Li, HM La, X Luo
IEEE Transactions on Industrial Electronics 64 (6), 4710-4720, 2017
3622017
A nonnegative latent factor model for large-scale sparse matrices in recommender systems via alternating direction method
X Luo, MC Zhou, S Li, Z You, Y Xia, Q Zhu
IEEE transactions on neural networks and learning systems 27 (3), 579-592, 2015
3322015
Temporal pattern-aware QoS prediction via biased non-negative latent factorization of tensors
X Luo, H Wu, H Yuan, MC Zhou
IEEE transactions on cybernetics 50 (5), 1798-1809, 2019
3032019
An overview of calibration technology of industrial robots
Z Li, S Li, X Luo
IEEE/CAA Journal of Automatica Sinica 8 (1), 23-36, 2021
2952021
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
2852020
Generating highly accurate predictions for missing QoS data via aggregating nonnegative latent factor models
X Luo, MC Zhou, Y Xia, Q Zhu, AC Ammari, A Alabdulwahab
IEEE transactions on neural networks and learning systems 27 (3), 524-537, 2015
2632015
Incorporation of efficient second-order solvers into latent factor models for accurate prediction of missing QoS data
X Luo, MC Zhou, S Li, Y Xia, ZH You, QS Zhu, H Leung
IEEE transactions on cybernetics 48 (4), 1216-1228, 2017
2542017
Obstacle avoidance and tracking control of redundant robotic manipulator: An RNN-based metaheuristic approach
AH Khan, S Li, X Luo
IEEE transactions on industrial informatics 16 (7), 4670-4680, 2019
2502019
A data-characteristic-aware latent factor model for web services QoS prediction
D Wu, X Luo, M Shang, Y He, G Wang, X Wu
IEEE Transactions on Knowledge and Data Engineering 34 (6), 2525-2538, 2020
2462020
Incremental collaborative filtering recommender based on regularized matrix factorization
X Luo, Y Xia, Q Zhu
Knowledge-Based Systems 27, 271-280, 2012
2352012
A novel approach to large-scale dynamically weighted directed network representation
X Luo, H Wu, Z Wang, J Wang, D Meng
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9756 …, 2021
2152021
A deep latent factor model for high-dimensional and sparse matrices in recommender systems
D Wu, X Luo, M Shang, Y He, G Wang, MC Zhou
IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (7), 4285-4296, 2019
2062019
An inherently nonnegative latent factor model for high-dimensional and sparse matrices from industrial applications
X Luo, MC Zhou, S Li, MS Shang
IEEE Transactions on Industrial Informatics 14 (5), 2011-2022, 2017
2022017
A fast non-negative latent factor model based on generalized momentum method
X Luo, Z Liu, S Li, M Shang, Z Wang
IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (1), 610-620, 2018
1992018
Neural dynamics for cooperative control of redundant robot manipulators
L Jin, S Li, X Luo, Y Li, B Qin
IEEE Transactions on Industrial Informatics 14 (9), 3812-3821, 2018
1992018
Efficient and high-quality recommendations via momentum-incorporated parallel stochastic gradient descent-based learning
X Luo, W Qin, A Dong, K Sedraoui, MC Zhou
IEEE/CAA Journal of Automatica Sinica 8 (2), 402-411, 2020
1752020
NeuLFT: A novel approach to nonlinear canonical polyadic decomposition on high-dimensional incomplete tensors
X Luo, H Wu, Z Li
IEEE Transactions on Knowledge and Data Engineering 35 (6), 6148-6166, 2022
1702022
Advancing non-negative latent factorization of tensors with diversified regularization schemes
H Wu, X Luo, MC Zhou
IEEE Transactions on Services Computing 15 (3), 1334-1344, 2020
1692020
An L1-and-L2-Norm-Oriented Latent Factor Model for Recommender Systems
D Wu, M Shang, X Luo, Z Wang
IEEE Transactions on Neural Networks and Learning Systems 33 (10), 5775-5788, 2021
1682021
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