Tong Liu
Orcid: 0000-0001-6449-0625Affiliations:
- University of Sheffield, OAK Group, Department of Computer Science, UK
- Chongqing University, School of Automation, Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing, China (PhD 2021)
- University of Southampton, School of Electronics and Computer Science, Southampton, UK (2018-2019)
According to our database1,
Tong Liu
authored at least 26 papers
between 2016 and 2024.
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Bibliography
2024
Leak Detection for Natural Gas Gathering Pipelines Under Multiple Operating Conditions Using RP-1dConvLSTM-AE and Multimodel Decision.
IEEE Trans. Ind. Electron., June, 2024
Lifelong Learning Meets Dynamic Processes: An Emerging Streaming Process Prediction Framework With Delayed Process Output Measurement.
IEEE Trans. Control. Syst. Technol., March, 2024
PI-CoF: A Bilevel Optimization Framework for Solving Active Learning Problems using Physics-Information.
CoRR, 2024
2023
Adaptive Multioutput Gradient RBF Tracker for Nonlinear and Nonstationary Regression.
IEEE Trans. Cybern., December, 2023
Efficient multi-task learning with adaptive temporal structure for progression prediction.
Neural Comput. Appl., August, 2023
Sustainable fertilisation management via tensor multi-task learning using multi-dimensional agricultural data.
J. Ind. Inf. Integr., August, 2023
Deep Cascade Gradient RBF Networks With Output-Relevant Feature Extraction and Adaptation for Nonlinear and Nonstationary Processes.
IEEE Trans. Cybern., 2023
Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data.
CoRR, 2023
Adaptive Real-Time Exploration and Optimization of Safety-Critical Industrial Systems with Ensemble Learning.
Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Multi-Output Selective Ensemble Identification of Nonlinear and Nonstationary Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst., 2022
Spatio-temporal Tensor Multi-Task Learning for Precision Fertilisation with Real-world Agricultural Data.
Proceedings of the IECON 2022, 2022
Spatio-temporal Tensor Multi-Task Learning for Predicting Alzheimer's Disease in a Longitudinal study.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2020
Fast Adaptive Gradient RBF Networks For Online Learning of Nonstationary Time Series.
IEEE Trans. Signal Process., 2020
Data-Based Online Optimal Temperature Tracking Control in Continuous Microwave Heating System by Adaptive Dynamic Programming.
Neural Process. Lett., 2020
Integrated CS optimization and OLS for recurrent neural network in modeling microwave thermal process.
Neural Comput. Appl., 2020
Accurate WiFi-based indoor localization by using fuzzy classifier and mlps ensemble in complex environment.
J. Frankl. Inst., 2020
Selective ensemble of multiple local model learning for nonlinear and nonstationary systems.
Neurocomputing, 2020
Growing and Pruning Selective Ensemble Regression for Nonlinear and Nonstationary Systems.
IEEE Access, 2020
2019
Two-Stage Method for Diagonal Recurrent Neural Network Identification of a High-Power Continuous Microwave Heating System.
Neural Process. Lett., 2019
A Multiple Local Model Learning for Nonlinear and Time-Varying Microwave Heating Process.
Proceedings of the International Joint Conference on Neural Networks, 2019
Expert Control System based Hierarchical Control Strategy for Tunnel Microwave Rice Drying.
Proceedings of the 17th European Control Conference, 2019
2018
Learning to Detect Local Overheating of the High-Power Microwave Heating Process With Deep Learning.
IEEE Access, 2018
Adaptive Critic Based Optimal Neurocontrol of a Distributed Microwave Heating System Using Diagonal Recurrent Network.
IEEE Access, 2018
2016
Research on Healthy Anomaly Detection Model Based on Deep Learning from Multiple Time-Series Physiological Signals.
Sci. Program., 2016