| 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 | 739 | 2014 |
| 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 | 362 | 2017 |
| 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 | 333 | 2015 |
| 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 | 303 | 2019 |
| 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 | 296 | 2021 |
| 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 | 285 | 2020 |
| 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 | 263 | 2015 |
| 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 | 254 | 2017 |
| 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 | 250 | 2019 |
| 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 | 247 | 2020 |
| Incremental collaborative filtering recommender based on regularized matrix factorization X Luo, Y Xia, Q Zhu Knowledge-Based Systems 27, 271-280, 2012 | 235 | 2012 |
| 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 | 215 | 2021 |
| 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 | 206 | 2019 |
| 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 | 202 | 2017 |
| 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 | 199 | 2018 |
| 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 | 199 | 2018 |
| 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 | 175 | 2020 |
| 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 | 170 | 2022 |
| 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 | 170 | 2020 |
| 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 | 168 | 2021 |
MengChu ZhouNJITEmail verificata su njit.edu