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ORCIDTong Liu 0014
Person information
- affiliation: University of Sheffield, OAK Group, Department of Computer Science, UK
- affiliation (PhD 2021): Chongqing University, School of Automation, Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing, China
- affiliation (2018-2019): University of Southampton, School of Electronics and Computer Science, Southampton, UK
Other persons with the same name
- Tong Liu — disambiguation page
- Tong Liu 0001
![[0000-0003-0485-839X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0485-839X")
— Shanghai Jiao Tong University, Shanghai Key Laboratory of Scalable Computing and Systems, China - Tong Liu 0002 — Huizhou University, Department of Electronic Science, China (and 1 more)
- Tong Liu 0003 — Chinese University of Hong Kong, Hong Kong
- Tong Liu 0004 — Free University of Bozen-Bolzano, Italy (and 1 more)
- Tong Liu 0005 — Shandong University of Science and Technology, Qingdao, China
- Tong Liu 0006 — National University of Defense Technology, Changsha, Hunan, China
- Tong Liu 0007 — Actel Corp., Sunnyvale, CA, USA (and 1 more)
- Tong Liu 0008 — Louisiana Tech University, Ruston, LA, USA
- Tong Liu 0009 — Beijing Institute of Technology, Beijing, China
- Tong Liu 0010 — Rochester Institute of Technology, USA
- Tong Liu 0011 — Chongqing University of Posts and Telecommunications, College of Computer Science and Technology, Chongqing, China
- Tong Liu 0012 — Harbin Engineering University, College of Information and Communication Engineering, Harbin, China
- Tong Liu 0013 — Northeast Forestry University, College of Information and Computer Engineering, Harbin, China
- Tong Liu 0015 — Dalian University of Technology, School of Physics, Dalian, China (and 1 more)
- Tong Liu 0016 — Massey University, School of Natural and Computational Sciences, Auckland, New Zealand
- Tong Liu 0017 — KTH Royal Institute of Technology, Department of Machine Design, Stockholm, Sweden
- Tong Liu 0018 — BOE Technology Group Co., Ltd. (and 1 more)
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2020 – today
- 2024
[j21]Tong Liu, Sheng Chen, Po Yang, Yunpeng Zhu, Mehmet Mercangöz, Chris J. Harris:
Lifelong Learning Meets Dynamic Processes: An Emerging Streaming Process Prediction Framework With Delayed Process Output Measurement. IEEE Trans. Control. Syst. Technol. 32(2): 384-398 (2024)- [j20]Zhonglin Zuo, Hao Zhang, Li Ma, Tong Liu, Shan Liang:
Leak Detection for Natural Gas Gathering Pipelines Under Multiple Operating Conditions Using RP-1dConvLSTM-AE and Multimodel Decision. IEEE Trans. Ind. Electron. 71(6): 6263-6273 (2024) - [j19]Xiwen He, Tong Liu, Yumei Zhang, Ruimin Xie:
Soft Sensor Modeling Based on Vector- Quantized Weighted-Wasserstein VAE for Polyester Polymerization Process. IEEE Trans. Ind. Informatics 20(9): 11338-11347 (2024) - [j18]Tong Liu, Xulong Wang, Po Yang, Sheng Chen, Chris J. Harris:
Unsupervised Transfer Aided Lifelong Regression for Learning New Tasks Without Target Output. IEEE Trans. Knowl. Data Eng. 36(9): 4981-4995 (2024) - [j17]Menghui Zhou, Xulong Wang, Tong Liu, Yun Yang, Po Yang:
Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. IEEE Trans. Knowl. Data Eng. 36(10): 5206-5220 (2024) - [c11]Liqiu Dong, Marta A. Zagorowska, Tong Liu, Alex Durkin, Mehmet Mercangöz:
PI-CoF: A Bilevel Optimization Framework for Solving Active Learning Problems using Physics-Information. CCTA 2024: 101-106 - [i2]Liqiu Dong, Marta A. Zagorowska, Tong Liu, Alex Durkin, Mehmet Mercangöz:
PI-CoF: A Bilevel Optimization Framework for Solving Active Learning Problems using Physics-Information. CoRR abs/2402.13588 (2024) - 2023
- [j16]Yu Zhang, Xulong Wang, Tong Liu, Ruijing Wang, Yang Li, Qing Xue, Po Yang:
Sustainable fertilisation management via tensor multi-task learning using multi-dimensional agricultural data. J. Ind. Inf. Integr. 34: 100461 (2023) - [j15]Yu Zhang, Xulong Wang, Tong Liu, Rujing Wang, Yang Li, Qing Xue, Po Yang:
Corrigendum to 'Sustainable fertilisation management via tensor multi-task learning using multi-dimensional agricultural data': [Journal of Industrial Informatic Integration, Vol 34, August (2023) start page-end page]. J. Ind. Inf. Integr. 35: 100508 (2023) - [j14]Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang:
Efficient multi-task learning with adaptive temporal structure for progression prediction. Neural Comput. Appl. 35(22): 16305-16320 (2023) - [j13]Tong Liu, Zeyue Tian, Sheng Chen, Kai Wang, Chris J. Harris:
Deep Cascade Gradient RBF Networks With Output-Relevant Feature Extraction and Adaptation for Nonlinear and Nonstationary Processes. IEEE Trans. Cybern. 53(8): 4908-4922 (2023) - [j12]Tong Liu, Sheng Chen, Kang Li, Shaojun Gan, Chris J. Harris:
Adaptive Multioutput Gradient RBF Tracker for Nonlinear and Nonstationary Regression. IEEE Trans. Cybern. 53(12): 7906-7919 (2023) - [c10]Menghui Zhou, Yu Zhang, Yun Yang, Tong Liu, Po Yang:
Robust Temporal Smoothness in Multi-Task Learning. AAAI 2023: 11426-11434 - [c9]Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang:
Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. BIBM 2023: 940-943 - [c8]Menghui Zhou, Tong Liu, Xulong Wang, Kang Liu, Yu Zhang, Po Yang:
Integrating Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. BIBM 2023: 3265-3272 - [c7]Tong Liu, Xulong Wang, He Huang, Po Yang:
Weak Regression Enhanced Lifelong Learning for Improved Performance and Reduced Training Data. CIKM 2023: 1587-1596 - [c6]Buse Sibel Korkmaz, Tong Liu, Mehmet Mercangöz:
Adaptive Real-Time Exploration and Optimization of Safety-Critical Industrial Systems with Ensemble Learning. INDIN 2023: 1-8 - [i1]Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang:
Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. CoRR abs/2311.03557 (2023) - 2022
- [j11]Tong Liu, Sheng Chen, Shan Liang, Shaojun Gan, Chris J. Harris:
Multi-Output Selective Ensemble Identification of Nonlinear and Nonstationary Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. 33(5): 1867-1880 (2022) - [c5]Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang:
Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression. CIKM 2022: 2743-2752 - [c4]Yu Zhang, Menghui Zhou, Tong Liu, Vitaveska Lanfranchi, Po Yang:
Spatio-temporal Tensor Multi-Task Learning for Predicting Alzheimer's Disease in a Longitudinal study. EMBC 2022: 979-985 - [c3]Yu Zhang, Tong Liu, Yang Li, Ruijing Wang, He Huang, Po Yang:
Spatio-temporal Tensor Multi-Task Learning for Precision Fertilisation with Real-world Agricultural Data. IECON 2022: 1-6 - 2020
- [j10]Tong Liu, Sheng Chen, Shan Liang, Chris J. Harris:
Growing and Pruning Selective Ensemble Regression for Nonlinear and Nonstationary Systems. IEEE Access 8: 73278-73292 (2020) - [j9]Tong Liu, Sheng Chen, Shan Liang, Chris J. Harris:
Selective ensemble of multiple local model learning for nonlinear and nonstationary systems. Neurocomputing 378: 98-111 (2020) - [j8]Qiwu Zhu, Qingyu Xiong, Kai Wang, Wang Lu, Tong Liu:
Accurate WiFi-based indoor localization by using fuzzy classifier and mlps ensemble in complex environment. J. Frankl. Inst. 357(3): 1420-1436 (2020) - [j7]Tong Liu, Shan Liang, Qingyu Xiong, Kai Wang:
Integrated CS optimization and OLS for recurrent neural network in modeling microwave thermal process. Neural Comput. Appl. 32(16): 12267-12280 (2020) - [j6]Tong Liu, Shan Liang, Qingyu Xiong, Kai Wang:
Data-Based Online Optimal Temperature Tracking Control in Continuous Microwave Heating System by Adaptive Dynamic Programming. Neural Process. Lett. 51(1): 167-191 (2020) - [j5]Tong Liu, Sheng Chen, Shan Liang, Shaojun Gan, Chris J. Harris:
Fast Adaptive Gradient RBF Networks For Online Learning of Nonstationary Time Series. IEEE Trans. Signal Process. 68: 2015-2030 (2020)
2010 – 2019
- 2019
- [j4]Tong Liu, Shan Liang, Qingyu Xiong, Kai Wang:
Two-Stage Method for Diagonal Recurrent Neural Network Identification of a High-Power Continuous Microwave Heating System. Neural Process. Lett. 50(3): 2161-2182 (2019) - [c2]Tong Liu, Shan Liang, Jinglu Hu:
Expert Control System based Hierarchical Control Strategy for Tunnel Microwave Rice Drying. ECC 2019: 3619-3624 - [c1]Tong Liu, Shan Liang, Sheng Chen, Chris J. Harris:
A Multiple Local Model Learning for Nonlinear and Time-Varying Microwave Heating Process. IJCNN 2019: 1-8 - 2018
- [j3]Kai Wang, Longkun Ma, Qingyu Xiong, Shan Liang, Guotan Sun, Xing Yu, Zheng Yao, Tong Liu:
Learning to Detect Local Overheating of the High-Power Microwave Heating Process With Deep Learning. IEEE Access 6: 10288-10296 (2018) - [j2]Tong Liu, Shan Liang, Qingyu Xiong, Kai Wang:
Adaptive Critic Based Optimal Neurocontrol of a Distributed Microwave Heating System Using Diagonal Recurrent Network. IEEE Access 6: 68839-68849 (2018) - 2016
- [j1]Kai Wang, Youjin Zhao, Qingyu Xiong, Min Fan, Guotan Sun, Longkun Ma, Tong Liu:
Research on Healthy Anomaly Detection Model Based on Deep Learning from Multiple Time-Series Physiological Signals. Sci. Program. 2016: 5642856:1-5642856:9 (2016)
Coauthor Index
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last updated on 2024-12-23 20:30 CET by the dblp team
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