| Online monitoring of performance variations and process dynamic anomalies with performance-relevant full decomposition of slow feature analysis J Zheng, C Zhao Journal of Process Control 80, 89-102, 2019 | 40 | 2019 |
| Enhanced canonical variate analysis with slow feature for dynamic process status analytics J Zheng, C Zhao Journal of Process Control 95, 10-31, 2020 | 37 | 2020 |
| Full decoupling high-order dynamic mode decomposition for advanced static and dynamic synergetic fault detection and isolation X Chen, J Zheng, C Zhao, M Wu IEEE Transactions on Automation Science and Engineering 21 (1), 226-240, 2022 | 33 | 2022 |
| Retrospective comparison of several typical linear dynamic latent variable models for industrial process monitoring J Zheng, C Zhao, F Gao Computers & Chemical Engineering 157, 107587, 2022 | 33 | 2022 |
| Interval-aware probabilistic slow feature analysis for irregular dynamic process monitoring with missing data J Zheng, X Chen, C Zhao IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023 | 21 | 2023 |
| Financial Fraud Detection Based on Deep Learning: Towards Large-Scale Pre-training Transformer Models H Wang, J Zheng, IE Carvajal-Roca, L Chen, M Bai China Conference on Knowledge Graph and Semantic Computing, 163-177, 2023 | 8 | 2023 |
| Incorporating adjacent user modeling into session-based recommendation with graph neural networks M Chen, J Zheng 2021 International Conference on Data Mining Workshops (ICDMW), 1-9, 2021 | 3 | 2021 |
| Coarse-to-fine condition identification for wide-range non-stationary processes driven by coupled condition indicators J Zheng, X Chen, C Zhao Control Engineering Practice 128, 105328, 2022 | 1 | 2022 |
| Process monitoring under closed-loop control with performance-relevant full decomposition of slow feature analysis J Zheng, C Zhao 2019 12th Asian Control Conference (ASCC), 1672-1677, 2019 | 1 | 2019 |
