| Data augmentation classifier for imbalanced fault classification X Jiang, Z Ge IEEE Transactions on Automation Science and Engineering 18 (3), 1206-1217, 2020 | 140 | 2020 |
| Augmented multidimensional convolutional neural network for industrial soft sensing X Jiang, Z Ge IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2021 | 83 | 2021 |
| Latent variable models in the era of industrial big data: Extension and beyond X Kong, X Jiang, B Zhang, J Yuan, Z Ge Annual Reviews in Control 54, 167-199, 2022 | 76 | 2022 |
| Automatic interpretation and clinical evaluation for fundus fluorescein angiography images of diabetic retinopathy patients by deep learning Z Gao, X Pan, J Shao, X Jiang, Z Su, K Jin, J Ye British Journal of Ophthalmology 107 (12), 1852-1858, 2023 | 74 | 2023 |
| An embedded cloud database service method for distributed industry monitoring DP Tan, L Li, YL Zhu, S Zheng, HJ Ruan, XY Jiang IEEE Transactions on Industrial Informatics 14 (7), 2881-2893, 2017 | 64 | 2017 |
| Improving the performance of just-in-time learning-based soft sensor through data augmentation X Jiang, Z Ge IEEE Transactions on Industrial Electronics 69 (12), 13716-13726, 2022 | 49 | 2022 |
| Virtual sensing f-CaO content of cement clinker based on incremental deep dynamic features extracting and transferring model L Yao, X Jiang, G Huang, J Qian, B Shen, L Xu, Z Ge IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2020 | 47 | 2020 |
| Weakly supervised multilayer perceptron for industrial fault classification with inaccurate and incomplete labels S Liao, X Jiang, Z Ge IEEE Transactions on Automation Science and Engineering 19 (2), 1192-1201, 2020 | 25 | 2020 |
| MSHF: a multi-source heterogeneous fundus (MSHF) dataset for image quality assessment K Jin, Z Gao, X Jiang, Y Wang, X Ma, Y Li, J Ye Scientific Data 10 (1), 286, 2023 | 24 | 2023 |
| Augmented industrial data-driven modeling under the curse of dimensionality X Jiang, X Kong, Z Ge IEEE/CAA Journal of Automatica Sinica 10 (6), 1445-1461, 2023 | 22 | 2023 |
| Information fingerprint for secure industrial big data analytics X Jiang, Z Ge IEEE Transactions on Industrial Informatics 18 (4), 2641-2650, 2021 | 12 | 2021 |
| Ensemble Data Augmentation for Imbalanced Fault Diagnosis X Jiang, J Zheng, X Zhuang, Z Ge IEEE Transactions on Instrumentation and Measurement, 2023 | 10 | 2023 |
| Attacks on data-driven process monitoring systems: Subspace transfer networks X Jiang, Z Ge IEEE Transactions on Artificial Intelligence 3 (3), 470-484, 2022 | 10 | 2022 |
| RAGAN: Regression attention generative adversarial networks X Jiang, Z Ge IEEE Transactions on Artificial Intelligence 4 (6), 1549-1563, 2022 | 9 | 2022 |
| A spatial-information-based semi-supervised soft sensor for f-CaO content prediction in cement industry X Jiang, L Yao, G Huang, J Qian, B Shen, L Xu, Z Ge 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS …, 2020 | 6 | 2020 |
| Numerical simulation and neural network study using an upstream cylinder for flow control of an airfoil M Zhang, ZC Zheng, Y Liu, X Jiang Fluids Engineering Division Summer Meeting 59032, V002T02A045, 2019 | 6 | 2019 |
| Time series data augmentation classifier for industrial process imbalanced fault diagnosis B Shen, L Yao, X Jiang, Z Yang, J Zeng 2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS …, 2023 | 5 | 2023 |
| Clinical evaluation of deep learning systems for assisting in the diagnosis of the epiretinal membrane grade in general ophthalmologists Y Yan, X Huang, X Jiang, Z Gao, X Liu, K Jin, J Ye Eye 38 (4), 730-736, 2024 | 4 | 2024 |
| Rethinking the diffusion models for missing data imputation: A gradient flow perspective Z Chen, H Li, F Wang, O Zhang, H Xu, X Jiang, Z Song, H Wang Advances in Neural Information Processing Systems 38, 1-50, 2024 | 3 | 2024 |
| A Novel Time Diffusion Model for Industrial Time Series Data Generation C Zheng, X Jiang, Z Song, X Zhang, B Shen 2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS …, 2024 | 3 | 2024 |