Graph convolutional network soft sensor for process quality prediction M Jia, D Xu, T Yang, Y Liu, Y Yao Journal of Process Control 123, 12-25, 2023 | 52 | 2023 |
Topology-guided graph learning for process fault diagnosis M Jia, J Hu, Y Liu, Z Gao, Y Yao Industrial & Engineering Chemistry Research 62 (7), 3238-3248, 2023 | 21 | 2023 |
Correntropy long short term memory soft sensor for quality prediction in industrial polyethylene process Q Liu, M Jia, Z Gao, L Xu, Y Liu Chemometrics and Intelligent Laboratory Systems 231, 104678, 2022 | 21 | 2022 |
EGC2: Enhanced graph classification with easy graph compression J Chen, H Xiong, H Zheng, D Zhang, J Zhang, M Jia, Y Liu Information Sciences 629, 376-397, 2023 | 11 | 2023 |
Transductive transfer broad learning for cross-domain information exploration and multigrade soft sensor application J Zhu, M Jia, Y Zhang, H Deng, Y Liu Chemometrics and Intelligent Laboratory Systems 235, 104778, 2023 | 7 | 2023 |
Deep graph network for process soft sensor development M Jia, Y Dai, D Xu, T Yang, Y Yao, Y Liu 2021 8th International Conference on Information, Cybernetics, and …, 2021 | 7 | 2021 |
Physics-guided graph learning soft sensor for chemical processes Y Liu, M Jia, D Xu, T Yang, Y Yao Chemometrics and Intelligent Laboratory Systems 249, 105131, 2024 | 5 | 2024 |
Dynamic data reconciliation for enhancing the performance of kernel learning soft sensor models considering measurement noise W Zhu, M Jia, Z Zhang, Y Liu Chemometrics and Intelligent Laboratory Systems 246, 105083, 2024 | 3 | 2024 |
Domain adaptation graph convolution network for quality inferring of batch processes J Zhu, M Jia, Y Zhang, W Zhou, H Deng, Y Liu Chemometrics and Intelligent Laboratory Systems 243, 105028, 2023 | 3 | 2023 |
Graph-guided masked autoencoder for process anomaly detection M Jia, D Xu, T Yang, Y Yao, Y Liu Process Safety and Environmental Protection 186, 1345-1357, 2024 | 2 | 2024 |
Two-dimensional LSTM soft sensor using noisy process data Q Liu, M Jia, X Guo, Y Liu, Z Gao, L Xu Measurement Science and Technology 35 (8), 085001, 2024 | 1 | 2024 |
Features Masked Auto-Encoder-Based Anomaly Detection in Process Industry J Hu, M Jia, Q Yang, Y Liu 2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS …, 2023 | 1 | 2023 |
Dynamic Graph Learning Soft Sensor in Process Industry M Jia, D Xu, T Yang, Y Yao, Y Liu 2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS …, 2023 | 1 | 2023 |
Topology-Informed Graph Convolutional Network for Fault Diagnosis M Jia, Y Liu, D Xu, T Yang, Y Yao 2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS …, 2022 | 1 | 2022 |
Temporal graph convolutional network soft sensor for molecular weight distribution prediction W Guo, J Zhu, X Yu, M Jia, Y Liu Chemometrics and Intelligent Laboratory Systems 252, 105196, 2024 | | 2024 |
Semisupervised Graph Contrastive Learning for Process Fault Diagnosis M Jia, C Yang, Q Liu, Z Gao, Y Liu Industrial & Engineering Chemistry Research, 2024 | | 2024 |
Global Dependency Graph Network for Soft Sensing in Process Industry M Jia, L Zhou, Y Liu, Z Gao, Y Yao IEEE Sensors Journal, 2024 | | 2024 |
Decentralized federated domain generalization with cluster alignment for fault diagnosis D Xu, M Jia, T Chen, Y Liu, T Chai, T Yang Control Engineering Practice 148, 105951, 2024 | | 2024 |
Temporal Graph Convolutional Network Soft Sensor for Chemical Process with Distributed Outputs W Guo, M Jia, W Zhou, Y Liu 2023 5th International Conference on Industrial Artificial Intelligence (IAI …, 2023 | | 2023 |
Time-Attention Graph Convolutional Network Soft Sensor in Biochemical Processes M Jia, D Xu, T Yang, Y Yao, Y Liu 2022 4th International Conference on Industrial Artificial Intelligence (IAI …, 2022 | | 2022 |