| 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 | 262 | 2019 |
| 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 | 148 | 2021 |
| 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 | 124 | 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, 2022 | 109 | 2022 |
| A PID-incorporated latent factorization of tensors approach to dynamically weighted directed network analysis H Wu, X Luo, MC Zhou, MJ Rawa, K Sedraoui, A Albeshri IEEE/CAA Journal of Automatica Sinica 9 (3), 533-546, 2021 | 55 | 2021 |
| Adjusting learning depth in nonnegative latent factorization of tensors for accurately modeling temporal patterns in dynamic QoS data X Luo, M Chen, H Wu, Z Liu, H Yuan, MC Zhou IEEE Transactions on Automation Science and Engineering 18 (4), 2142-2155, 2021 | 53 | 2021 |
| Instance-frequency-weighted regularized, nonnegative and adaptive latent factorization of tensors for dynamic QoS analysis H Wu, X Luo 2021 IEEE International Conference on Web Services (ICWS), 560-568, 2021 | 16 | 2021 |
| Discovering hidden pattern in large-scale dynamically weighted directed network via latent factorization of tensors H Wu, X Luo, MC Zhou 2021 IEEE 17th International Conference on Automation Science and …, 2021 | 10 | 2021 |
| Neural latent factorization of tensors for dynamically weighted directed networks analysis H Wu, X Luo, MC Zhou 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021 | 7 | 2021 |
| Dynamical representation learning for Ethereum transaction network via non-negative adaptive latent factorization of tensors Z Lin, H Wu 2021 International Conference on Cyber-Physical Social Intelligence (ICCSI), 1-6, 2021 | 6 | 2021 |
| Proportional-integral-derivative-incorporated latent factorization of tensors for large-scale dynamic network analysis H Wu, Y Xia, X Luo 2021 China Automation Congress (CAC), 2980-2984, 2021 | 6 | 2021 |
| Efficient representation to dynamic QoS data via momentum-incorporated biased nonnegative and adaptive latent factorization of tensors M Chen, H Wu 2021 International Conference on Cyber-Physical Social Intelligence (ICCSI), 1-6, 2021 | 5 | 2021 |
| Momentum-incorporated latent factorization of tensors for extracting temporal patterns from QoS data M Chen, H Wu, C He, S Chen 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 5 | 2019 |
| A parallelized, momentum-incorporated stochastic gradient descent scheme for latent factor analysis on high-dimensional and sparse matrices from recommender systems W Qin, H Wu, Q Lai, C Wang 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 5 | 2019 |
| A new variable step-size Levenberg-Marquardt algorithm for industrial robot calibration Z Li, S Li, H Wu 2022 IEEE international conference on networking, sensing and control (ICNSC …, 2022 | 4 | 2022 |
| Multiple biases-incorporated latent factorization of tensors for dynamic network link prediction X Wu, J Wang, H Wu Proceedings of the 2021 5th International Conference on Innovation in …, 2021 | 3 | 2021 |
| A diverse biases non-negative latent factorization of tensors model for dynamic network link prediction X Wu, H Gou, H Wu, J Wang, M Chen, S Lai 2020 IEEE International Conference on Networking, Sensing and Control (ICNSC …, 2020 | 3 | 2020 |
| Non-Negative Latent Factorization of Tensors Model Based on -Divergence for Time-Aware QoS Prediction Z Peng, H Wu 2022 IEEE International Conference on Networking, Sensing and Control (ICNSC …, 2022 | 2 | 2022 |
| Multiple Biases-Incorporated Latent Factorization of Tensors H Wu, X Wu, X Luo Dynamic Network Representation Based on Latent Factorization of Tensors, 11-26, 2023 | 1 | 2023 |
| Highly-Accurate robot calibration based on plane constraint via integrating Square-Root Cubature Kalman filter and Levenberg-Marquardt algorithm T Chen, S Li, H Wu 2022 IEEE International Conference on Networking, Sensing and Control (ICNSC …, 2022 | 1 | 2022 |
Luo Xin (罗辛)Southwest UniversityVerified email at swu.edu.cn
