Research on Healthy Anomaly Detection Model Based on Deep Learning from Multiple Time-Series Physiological Signals. - Kai Wang 003; Youjin Zhao; Qingyu Xiong; Min Fan; Guotan Sun; Longkun Ma; Tong Liu 014 (Sci. Program., 2016)

Adaptive Critic Based Optimal Neurocontrol of a Distributed Microwave Heating System Using Diagonal Recurrent Network. - Tong Liu 014; Shan Liang; Qingyu Xiong; Kai Wang 003 (IEEE Access, 2018)

Learning to Detect Local Overheating of the High-Power Microwave Heating Process With Deep Learning. - Kai Wang 003; Longkun Ma; Qingyu Xiong; Shan Liang; Guotan Sun; Xing Yu; Zheng Yao; Tong Liu 014 (IEEE Access, 2018)

Expert Control System based Hierarchical Control Strategy for Tunnel Microwave Rice Drying. - Tong Liu 014; Shan Liang; Jinglu Hu (ECC, 2019)

A Multiple Local Model Learning for Nonlinear and Time-Varying Microwave Heating Process. - Tong Liu 014; Shan Liang; Sheng Chen 001; Chris J. Harris (IJCNN, 2019)

Two-Stage Method for Diagonal Recurrent Neural Network Identification of a High-Power Continuous Microwave Heating System. - Tong Liu 014; Shan Liang; Qingyu Xiong; Kai Wang 003 (Neural Process. Lett., 2019)

Growing and Pruning Selective Ensemble Regression for Nonlinear and Nonstationary Systems. - Tong Liu 014; Sheng Chen 001; Shan Liang; Chris J. Harris (IEEE Access, 2020)

Selective ensemble of multiple local model learning for nonlinear and nonstationary systems. - Tong Liu 014; Sheng Chen 001; Shan Liang; Chris J. Harris (Neurocomputing, 2020)

Accurate WiFi-based indoor localization by using fuzzy classifier and mlps ensemble in complex environment. - Qiwu Zhu; Qingyu Xiong; Kai Wang 003; Wang Lu; Tong Liu 014 (J. Frankl. Inst., 2020)

Integrated CS optimization and OLS for recurrent neural network in modeling microwave thermal process. - Tong Liu 014; Shan Liang; Qingyu Xiong; Kai Wang 003 (Neural Comput. Appl., 2020)

Data-Based Online Optimal Temperature Tracking Control in Continuous Microwave Heating System by Adaptive Dynamic Programming. - Tong Liu 014; Shan Liang; Qingyu Xiong; Kai Wang 003 (Neural Process. Lett., 2020)

Fast Adaptive Gradient RBF Networks For Online Learning of Nonstationary Time Series. - Tong Liu 014; Sheng Chen 001; Shan Liang; Shaojun Gan; Chris J. Harris (IEEE Trans. Signal Process., 2020)

Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression. - Menghui Zhou; Yu Zhang 128; Tong Liu 014; Yun Yang 003; Po Yang 001 (CIKM, 2022)

Spatio-temporal Tensor Multi-Task Learning for Predicting Alzheimer's Disease in a Longitudinal study. - Yu Zhang 128; Menghui Zhou; Tong Liu 014; Vitaveska Lanfranchi; Po Yang 001 (EMBC, 2022)

Spatio-temporal Tensor Multi-Task Learning for Precision Fertilisation with Real-world Agricultural Data. - Yu Zhang 128; Tong Liu 014; Yang Li; Ruijing Wang; He Huang; Po Yang 001 (IECON, 2022)

Multi-Output Selective Ensemble Identification of Nonlinear and Nonstationary Industrial Processes. - Tong Liu 014; Sheng Chen 001; Shan Liang; Shaojun Gan; Chris J. Harris (IEEE Trans. Neural Networks Learn. Syst., 2022)

Robust Temporal Smoothness in Multi-Task Learning. - Menghui Zhou; Yu Zhang 128; Yun Yang 003; Tong Liu 014; Po Yang 001 (AAAI, 2023)

Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. - Xulong Wang 001; Yu Zhang 128; Menghui Zhou; Tong Liu 014; Jun Qi 001; Po Yang 001 (BIBM, 2023)

Integrating Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. - Menghui Zhou; Tong Liu 014; Xulong Wang 001; Kang Liu; Yu Zhang 128; Po Yang 001 (BIBM, 2023)

Weak Regression Enhanced Lifelong Learning for Improved Performance and Reduced Training Data. - Tong Liu 014; Xulong Wang 001; He Huang; Po Yang 001 (CIKM, 2023)

Adaptive Real-Time Exploration and Optimization of Safety-Critical Industrial Systems with Ensemble Learning. - Buse Sibel Korkmaz; Tong Liu 014; Mehmet Mercangöz (INDIN, 2023)

Deep Cascade Gradient RBF Networks With Output-Relevant Feature Extraction and Adaptation for Nonlinear and Nonstationary Processes. - Tong Liu 014; Zeyue Tian; Sheng Chen 001; Kai Wang 003; Chris J. Harris (IEEE Trans. Cybern., 2023)

Sustainable fertilisation management via tensor multi-task learning using multi-dimensional agricultural data. - Yu Zhang 128; Xulong Wang 001; Tong Liu 014; Ruijing Wang; Yang Li; Qing Xue; Po Yang 001 (J. Ind. Inf. Integr., 2023)

Efficient multi-task learning with adaptive temporal structure for progression prediction. - Menghui Zhou; Yu Zhang 128; Tong Liu 014; Yun Yang 003; Po Yang 001 (Neural Comput. Appl., 2023)

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]. - Yu Zhang 128; Xulong Wang 001; Tong Liu 014; Rujing Wang; Yang Li; Qing Xue; Po Yang 001 (J. Ind. Inf. Integr., 2023)

Adaptive Multioutput Gradient RBF Tracker for Nonlinear and Nonstationary Regression. - Tong Liu 014; Sheng Chen 001; Kang Li 002; Shaojun Gan; Chris J. Harris (IEEE Trans. Cybern., 2023)

PI-CoF: A Bilevel Optimization Framework for Solving Active Learning Problems using Physics-Information. - Liqiu Dong; Marta A. Zagorowska; Tong Liu 014; Alex Durkin; Mehmet Mercangöz (CCTA, 2024)

ParallelFarm: An AI-Enabled Sustainable Farming Management System for Carbon Neutrality. - Gaoshan Bi; Yu Zhang 128; Qing Xue; Yang Li; Zhipeng Yuan; Kang Liu; Tong Liu 014; Po Yang 001 (INDIN, 2024)

Lifelong Learning Meets Dynamic Processes: An Emerging Streaming Process Prediction Framework With Delayed Process Output Measurement. - Tong Liu 014; Sheng Chen 001; Po Yang 001; Yunpeng Zhu; Mehmet Mercangöz; Chris J. Harris (IEEE Trans. Control. Syst. Technol., 2024)

Leak Detection for Natural Gas Gathering Pipelines Under Multiple Operating Conditions Using RP-1dConvLSTM-AE and Multimodel Decision. - Zhonglin Zuo; Hao Zhang 141; Li Ma; Tong Liu 014; Shan Liang (IEEE Trans. Ind. Electron., 2024)

Soft Sensor Modeling Based on Vector- Quantized Weighted-Wasserstein VAE for Polyester Polymerization Process. - Xiwen He; Tong Liu 014; Yumei Zhang; Ruimin Xie (IEEE Trans. Ind. Informatics, 2024)

Unsupervised Transfer Aided Lifelong Regression for Learning New Tasks Without Target Output. - Tong Liu 014; Xulong Wang 001; Po Yang 001; Sheng Chen 001; Chris J. Harris (IEEE Trans. Knowl. Data Eng., 2024)

Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. - Menghui Zhou; Xulong Wang 001; Tong Liu 014; Yun Yang 003; Po Yang 001 (IEEE Trans. Knowl. Data Eng., 2024)

An end-to-end autonomous learning approach for waterway images analysis of inland river. - Zechen Li 002; Bingjie Chen; Tong Liu 014; Zhonglin Zuo; Shan Liang (Eng. Appl. Artif. Intell., 2025)

Contrastive Conditional Adversarial Autoencoder With Class-Specific Forces for Imbalanced Open-Set Fault Detection. - Zhonglin Zuo; Tao Meng; Zheng Li; Hao Zhang 141; Tong Liu 014; Zhansheng Chen; Zhibo Pang (IEEE Trans Autom. Sci. Eng., 2025)

Lifelong Monitoring of Bearing-Rotor Systems Over Whole Life Cycle: An Emerging Paradigm. - Yulai Zhao 001; Tong Liu 014; Yun-Peng Zhu; Zepeng Liu; Qingkai Han; Hui Ma (IEEE Trans. Ind. Informatics, 2025)

Deep Probabilistic Principal Component Analysis for Process Monitoring. - Xiangyin Kong; Yimeng He; Zhihuan Song; Tong Liu 014; Zhiqiang Ge (IEEE Trans. Neural Networks Learn. Syst., 2025)