| Double-level locally weighted extreme learning machine for soft sensor modeling of complex nonlinear industrial processes X Zhang, X Deng, P Wang IEEE Sensors Journal 21 (2), 1897-1905, 2020 | 38 | 2020 |
| Domain adaptation mixture of Gaussian processes for online soft sensor modeling of multimode processes when sensor degradation occurs X Zhang, C Song, J Zhao, X Deng IEEE Transactions on Industrial Informatics 18 (7), 4654-4664, 2021 | 27 | 2021 |
| Gaussian mixture continuously adaptive regression for multimode processes soft sensing under time-varying virtual drift X Zhang, C Song, J Zhao, D Xia Journal of Process Control 124, 1-13, 2023 | 25 | 2023 |
| High-sensitivity composite dual-network hydrogel strain sensor and its application in intelligent recognition and motion monitoring W Zhang, X Zhang, W Zhao, X Wang ACS Applied Polymer Materials 5 (4), 2628-2638, 2023 | 20 | 2023 |
| Deep subdomain learning adaptation network: A sensor fault-tolerant soft sensor for industrial processes X Zhang, C Song, J Zhao, Z Xu, X Deng IEEE Transactions on Neural Networks and Learning Systems, 2022 | 16 | 2022 |
| Deep Gaussian mixture adaptive network for robust soft sensor modeling with a closed-loop calibration mechanism X Zhang, C Song, J Zhao, Z Xu Engineering Applications of Artificial Intelligence 122, 106124, 2023 | 13 | 2023 |
| Spatial-temporal causality modeling for industrial processes with a knowledge-data guided reinforcement learning X Zhang, C Song, J Zhao, Z Xu, X Deng IEEE Transactions on Industrial Informatics 20 (4), 5634-5646, 2023 | 7 | 2023 |
| Adaptive soft sensor modeling of chemical processes based on an improved just‐in‐time learning and random mapping partial least squares K Zhang, X Zhang Journal of Chemometrics, e3554, 2024 | 1 | 2024 |
| Bayesian-Based Causal Structure Inference With a Domain Knowledge Prior for Stable and Interpretable Soft Sensing X Zhang, C Song, B Huang, J Zhao IEEE Transactions on Cybernetics, 2024 | | 2024 |