| Research on Healthy Anomaly Detection Model Based on Deep Learning from Multiple Time‐Series Physiological Signals K Wang, Y Zhao, Q Xiong, M Fan, G Sun, L Ma, T Liu Scientific Programming 2016 (1), 5642856, 2016 | 64 | 2016 |
| A semi-supervised leakage detection method driven by multivariate time series for natural gas gathering pipeline Z Zuo, L Ma, S Liang, J Liang, H Zhang, T Liu Process Safety and Environmental Protection 164, 468-478, 2022 | 45 | 2022 |
| Fast adaptive gradient RBF networks for online learning of nonstationary time series T Liu, S Chen, S Liang, S Gan, CJ Harris IEEE Transactions on Signal Processing 68, 2015-2030, 2020 | 45 | 2020 |
| Accurate WiFi-based indoor localization by using fuzzy classifier and mlps ensemble in complex environment Q Zhu, Q Xiong, K Wang, W Lu, T Liu Journal of the Franklin Institute 357 (3), 1420-1436, 2020 | 38 | 2020 |
| Selective ensemble of multiple local model learning for nonlinear and nonstationary systems T Liu, S Chen, S Liang, CJ Harris Neurocomputing 378, 98-111, 2020 | 20 | 2020 |
| Explainable tensor multi-task ensemble learning based on brain structure variation for Alzheimer’s Disease dynamic prediction Y Zhang, T Liu, V Lanfranchi, P Yang IEEE Journal of Translational Engineering in Health and Medicine 11, 1-12, 2022 | 16 | 2022 |
| Data-based online optimal temperature tracking control in continuous microwave heating system by adaptive dynamic programming T Liu, S Liang, Q Xiong, K Wang Neural processing letters 51, 167-191, 2020 | 16 | 2020 |
| Learning to detect local overheating of the high-power microwave heating process with deep learning K Wang, L Ma, Q Xiong, S Liang, G Sun, X Yu, Z Yao, T Liu IEEE Access 6, 10288-10296, 2018 | 16 | 2018 |
| Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression M Zhou, Y Zhang, T Liu, Y Yang, P Yang Proceedings of the 31st ACM International Conference on Information …, 2022 | 15 | 2022 |
| Fast tunable gradient RBF networks for online modeling of nonlinear and nonstationary dynamic processes T Liu, S Chen, S Liang, D Du, CJ Harris Journal of Process Control 93, 53-65, 2020 | 15 | 2020 |
| Multi-output selective ensemble identification of nonlinear and nonstationary industrial processes T Liu, S Chen, S Liang, S Gan, CJ Harris IEEE Transactions on Neural Networks and Learning Systems 33 (5), 1867-1880, 2020 | 13 | 2020 |
| Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction M Zhou, X Wang, T Liu, Y Yang, P Yang IEEE Transactions on Knowledge and Data Engineering, 2024 | 12 | 2024 |
| Spatio-temporal similarity measure based multi-task learning for predicting alzheimer’s disease progression using mri data X Wang, Y Zhang, M Zhou, T Liu, J Qi, P Yang 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | 12 | 2023 |
| Robust temporal smoothness in multi-task learning M Zhou, Y Zhang, Y Yang, T Liu, P Yang Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11426 …, 2023 | 12 | 2023 |
| Sustainable fertilisation management via tensor multi-task learning using multi-dimensional agricultural data Y Zhang, X Wang, T Liu, R Wang, Y Li, Q Xue, P Yang Journal of Industrial Information Integration 34, 100461, 2023 | 11 | 2023 |
| Two-stage method for diagonal recurrent neural network identification of a high-power continuous microwave heating system T Liu, S Liang, Q Xiong, K Wang Neural Processing Letters 50, 2161-2182, 2019 | 11 | 2019 |
| Adaptive multioutput gradient rbf tracker for nonlinear and nonstationary regression T Liu, S Chen, K Li, S Gan, CJ Harris IEEE Transactions on Cybernetics 53 (12), 7906-7919, 2023 | 10 | 2023 |
| Integrated CS optimization and OLS for recurrent neural network in modeling microwave thermal process T Liu, S Liang, Q Xiong, K Wang Neural Computing and Applications 32, 12267-12280, 2020 | 10 | 2020 |
| Adaptive critic based optimal neurocontrol of a distributed microwave heating system using diagonal recurrent network T Liu, S Liang, Q Xiong, K Wang IEEE Access 6, 68839-68849, 2018 | 10 | 2018 |
| Efficient adaptive deep gradient RBF network for multi-output nonlinear and nonstationary industrial processes T Liu, S Chen, P Yang, Y Zhu, CJ Harris Journal of Process Control 126, 1-11, 2023 | 9 | 2023 |
Po YangProfessor of Pervasive Intelligence at the Sheffield UniversityΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα sheffield.ac.uk