Tong Liu - RankMe

44 papers A* 1A 2B 1C 5Journal 30Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Unmanned Traffic Command System for Controlled Waterway in Inland River: An Edge-centric IoT Approach. Unmanned Syst. Zechen Li, Tong Liu, Su Li, Lang You, Shan Liang, Dejun Wang
2025	C	`conf`	A Deep Reinforcement Learning-based Autonomous Robotic Operation Framework for Blood Gas Analyzers. INDIN Haiyang Jiang, Tong Liu, Huaping Liu, Visakan Kadirkamanathan, Hang Wu, Kai Wang
2025	J	`jnl`	An end-to-end autonomous learning approach for waterway images analysis of inland river. Eng. Appl. Artif. Intell. Zechen Li, Bingjie Chen, Tong Liu, Zhonglin Zuo, Shan Liang
2025	J	`jnl`	Contrastive Conditional Adversarial Autoencoder With Class-Specific Forces for Imbalanced Open-Set Fault Detection. IEEE Trans Autom. Sci. Eng. Zhonglin Zuo, Tao Meng, Zheng Li, Hao Zhang, Tong Liu, Zhansheng Chen, Zhibo Pang
2025	C	`conf`	DA-Mamba: A Data Augmentation-Enhanced State Space Model for Fertiliser N2O Prediction in Agricultural IoT Applications. INDIN Gaoshan Bi, Tong Liu, Yu Zhang, Qing Xue, Yang Li, Po Yang
2025	J	`jnl`	DCDU-VMamba: Depth Completion of Transparent Objects With Dual U-VMamba for Robotic Grasp. IEEE Trans. Instrum. Meas. Haiyang Jiang, Tong Liu, Huaping Liu, Kai Wang, Jiabao Song
2025	J	`jnl`	Deep Probabilistic Principal Component Analysis for Process Monitoring. IEEE Trans. Neural Networks Learn. Syst. Xiangyin Kong, Yimeng He, Zhihuan Song, Tong Liu, Zhiqiang Ge
2025	J	`jnl`	Lifelong Monitoring of Bearing-Rotor Systems Over Whole Life Cycle: An Emerging Paradigm. IEEE Trans. Ind. Informatics Yulai Zhao, Tong Liu, Yun-Peng Zhu, Zepeng Liu, Qingkai Han, Hui Ma
2025	J	`jnl`	SPOT: An efficient training-free task similarity quantification method for continual learning. Pattern Recognit. Lett. Xulong Wang, Yu Zhang, Tong Liu, Zhipeng Yuan, Kang Liu, Vitaveska Lanfranchi, Po Yang
2024	J	`jnl`	Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. IEEE Trans. Knowl. Data Eng. Menghui Zhou, Xulong Wang, Tong Liu, Yun Yang, Po Yang
2024	J	`jnl`	Leak Detection for Natural Gas Gathering Pipelines Under Multiple Operating Conditions Using RP-1dConvLSTM-AE and Multimodel Decision. IEEE Trans. Ind. Electron. Zhonglin Zuo, Hao Zhang, Li Ma, Tong Liu, Shan Liang
2024	J	`jnl`	Lifelong Learning Meets Dynamic Processes: An Emerging Streaming Process Prediction Framework With Delayed Process Output Measurement. IEEE Trans. Control. Syst. Technol. Tong Liu, Sheng Chen, Po Yang, Yunpeng Zhu, Mehmet Mercangöz, Chris J. Harris
2024	—	`conf`	PI-CoF: A Bilevel Optimization Framework for Solving Active Learning Problems using Physics-Information. CCTA Liqiu Dong, Marta A. Zagorowska, Tong Liu, Alex Durkin, Mehmet Mercangöz
2024	J	`jnl`	PI-CoF: A Bilevel Optimization Framework for Solving Active Learning Problems using Physics-Information. CoRR Liqiu Dong, Marta A. Zagorowska, Tong Liu, Alex Durkin, Mehmet Mercangöz
2024	C	`conf`	ParallelFarm: An AI-Enabled Sustainable Farming Management System for Carbon Neutrality. INDIN Gaoshan Bi, Yu Zhang, Qing Xue, Yang Li, Zhipeng Yuan, Kang Liu, Tong Liu, Po Yang
2024	J	`jnl`	Soft Sensor Modeling Based on Vector- Quantized Weighted-Wasserstein VAE for Polyester Polymerization Process. IEEE Trans. Ind. Informatics Xiwen He, Tong Liu, Yumei Zhang, Ruimin Xie
2024	J	`jnl`	Unsupervised Transfer Aided Lifelong Regression for Learning New Tasks Without Target Output. IEEE Trans. Knowl. Data Eng. Tong Liu, Xulong Wang, Po Yang, Sheng Chen, Chris J. Harris
2023	J	`jnl`	Adaptive Multioutput Gradient RBF Tracker for Nonlinear and Nonstationary Regression. IEEE Trans. Cybern. Tong Liu, Sheng Chen, Kang Li, Shaojun Gan, Chris J. Harris
2023	C	`conf`	Adaptive Real-Time Exploration and Optimization of Safety-Critical Industrial Systems with Ensemble Learning. INDIN Buse Sibel Korkmaz, Tong Liu, Mehmet Mercangöz
2023	J	`jnl`	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. Yu Zhang, Xulong Wang, Tong Liu, Rujing Wang, Yang Li, Qing Xue, Po Yang
2023	J	`jnl`	Deep Cascade Gradient RBF Networks With Output-Relevant Feature Extraction and Adaptation for Nonlinear and Nonstationary Processes. IEEE Trans. Cybern. Tong Liu, Zeyue Tian, Sheng Chen, Kai Wang, Chris J. Harris
2023	J	`jnl`	Efficient multi-task learning with adaptive temporal structure for progression prediction. Neural Comput. Appl. Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang
2023	—	`conf`	Integrating Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. BIBM Menghui Zhou, Tong Liu, Xulong Wang, Kang Liu, Yu Zhang, Po Yang
2023	A*	`conf`	Robust Temporal Smoothness in Multi-Task Learning. AAAI Menghui Zhou, Yu Zhang, Yun Yang, Tong Liu, Po Yang
2023	—	`conf`	Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. BIBM Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang
2023	J	`jnl`	Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. CoRR Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang
2023	J	`jnl`	Sustainable fertilisation management via tensor multi-task learning using multi-dimensional agricultural data. J. Ind. Inf. Integr. Yu Zhang, Xulong Wang, Tong Liu, Ruijing Wang, Yang Li, Qing Xue, Po Yang
2023	A	`conf`	Weak Regression Enhanced Lifelong Learning for Improved Performance and Reduced Training Data. CIKM Tong Liu, Xulong Wang, He Huang, Po Yang
2022	J	`jnl`	Multi-Output Selective Ensemble Identification of Nonlinear and Nonstationary Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. Tong Liu, Sheng Chen, Shan Liang, Shaojun Gan, Chris J. Harris
2022	A	`conf`	Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression. CIKM Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang
2022	C	`conf`	Spatio-temporal Tensor Multi-Task Learning for Precision Fertilisation with Real-world Agricultural Data. IECON Yu Zhang, Tong Liu, Yang Li, Ruijing Wang, He Huang, Po Yang
2022	—	`conf`	Spatio-temporal Tensor Multi-Task Learning for Predicting Alzheimer's Disease in a Longitudinal study. EMBC Yu Zhang, Menghui Zhou, Tong Liu, Vitaveska Lanfranchi, Po Yang
2020	J	`jnl`	Accurate WiFi-based indoor localization by using fuzzy classifier and mlps ensemble in complex environment. J. Frankl. Inst. Qiwu Zhu, Qingyu Xiong, Kai Wang, Wang Lu, Tong Liu
2020	J	`jnl`	Data-Based Online Optimal Temperature Tracking Control in Continuous Microwave Heating System by Adaptive Dynamic Programming. Neural Process. Lett. Tong Liu, Shan Liang, Qingyu Xiong, Kai Wang
2020	J	`jnl`	Fast Adaptive Gradient RBF Networks For Online Learning of Nonstationary Time Series. IEEE Trans. Signal Process. Tong Liu, Sheng Chen, Shan Liang, Shaojun Gan, Chris J. Harris
2020	J	`jnl`	Growing and Pruning Selective Ensemble Regression for Nonlinear and Nonstationary Systems. IEEE Access Tong Liu, Sheng Chen, Shan Liang, Chris J. Harris
2020	J	`jnl`	Integrated CS optimization and OLS for recurrent neural network in modeling microwave thermal process. Neural Comput. Appl. Tong Liu, Shan Liang, Qingyu Xiong, Kai Wang
2020	J	`jnl`	Selective ensemble of multiple local model learning for nonlinear and nonstationary systems. Neurocomputing Tong Liu, Sheng Chen, Shan Liang, Chris J. Harris
2019	B	`conf`	A Multiple Local Model Learning for Nonlinear and Time-Varying Microwave Heating Process. IJCNN Tong Liu, Shan Liang, Sheng Chen, Chris J. Harris
2019	—	`conf`	Expert Control System based Hierarchical Control Strategy for Tunnel Microwave Rice Drying. ECC Tong Liu, Shan Liang, Jinglu Hu
2019	J	`jnl`	Two-Stage Method for Diagonal Recurrent Neural Network Identification of a High-Power Continuous Microwave Heating System. Neural Process. Lett. Tong Liu, Shan Liang, Qingyu Xiong, Kai Wang
2018	J	`jnl`	Adaptive Critic Based Optimal Neurocontrol of a Distributed Microwave Heating System Using Diagonal Recurrent Network. IEEE Access Tong Liu, Shan Liang, Qingyu Xiong, Kai Wang
2018	J	`jnl`	Learning to Detect Local Overheating of the High-Power Microwave Heating Process With Deep Learning. IEEE Access Kai Wang, Longkun Ma, Qingyu Xiong, Shan Liang, Guotan Sun, Xing Yu, Zheng Yao, Tong Liu
2016	J	`jnl`	Research on Healthy Anomaly Detection Model Based on Deep Learning from Multiple Time-Series Physiological Signals. Sci. Program. Kai Wang, Youjin Zhao, Qingyu Xiong, Min Fan, Guotan Sun, Longkun Ma, Tong Liu