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Jingxin Zhang 0002
Person information
- affiliation: Chinese Academy of Sciences, Haixi Institutes, Quanzhou Institute of Equipment Manufacturing, Jinjiang, China
- affiliation (PhD 2018): Tsinghua University, Department of Automation, Beijing, China
- affiliation (former): Harbin Institute of Technology, Research Institute of Intelligent Control and Systems, Harbin, China
Other persons with the same name
- Jingxin Zhang 0001
— Swinburne University of Technology, School of Software and Electrical Engineering, Department of Telecommunications, Electrical, Robotics and Biomedical Engineering, Melbourne, Australia (and 5 more)
- Jingxin Zhang 0003
- Jingxin Zhang 0004 — Guilin University of Electronic Technology, School of Computer Science and Engineering, Guilin, China
- Jingxin Zhang 0005
- Jingxin Zhang 0006
- Jingxin Zhang 0007 — Chang'an University, Xi'an, China
- Jingxin Zhang 0008 — Southeast University, Nanjing, China
- Jingxin Zhang 0009 — Sony Semiconductor Solutions Europe, Stuttgart, Germany
- Jingxin Zhang 0010 — University of Southern California, CA, USA
- Jingxin Zhang 0011 — Tianjin University, College of Management and Economics, China (and 1 more)
- Jingxin Zhang 0012
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2020 – today
- 2024
- [j11]Jingxin Zhang
Continual Learning-Based Probabilistic Slow Feature Analysis for Monitoring Multimode Nonstationary Processes. IEEE Trans Autom. Sci. Eng. 21(1): 733-745 (2024) - [j10]Mengxuan Li
SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-Hoc Interpretable Fault Diagnosis With Limited Fault Samples. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6194-6205 (2024) - 2023
- [j9]Jingxin Zhang
Continual Learning for Multimode Dynamic Process Monitoring With Applications to an Ultra-Supercritical Thermal Power Plant. IEEE Trans Autom. Sci. Eng. 20(1): 137-150 (2023) - [j8]Jingxin Zhang
Adaptive Cointegration Analysis and Modified RPCA With Continual Learning Ability for Monitoring Multimode Nonstationary Processes. IEEE Trans. Cybern. 53(8): 4841-4854 (2023) - [j7]Jingxin Zhang
Self-Learning Sparse PCA for Multimode Process Monitoring. IEEE Trans. Ind. Informatics 19(1): 29-39 (2023) - [j6]Jingxin Zhang
Monitoring Multimode Nonlinear Dynamic Processes: An Efficient Sparse Dynamic Approach With Continual Learning Ability. IEEE Trans. Ind. Informatics 19(7): 8029-8038 (2023) - 2022
- [j5]Jinhua Guo
Structure Parameter Optimized Kernel Based Online Prediction With a Generalized Optimization Strategy for Nonstationary Time Series. IEEE Trans. Signal Process. 70: 2698-2712 (2022) - [i7]Jingxin Zhang, Donghua Zhou, Maoyin Chen, Xia Hong:
Continual learning-based probabilistic slow feature analysis for multimode dynamic process monitoring. CoRR abs/2202.11295 (2022) - 2021
- [j4]Jingxin Zhang
Nonlinear process monitoring using a mixture of probabilistic PCA with clusterings. Neurocomputing 458: 319-326 (2021) - [c4]Jingxin Zhang
Sparse DiPCA for dynamic process monitoring. CAA SAFEPROCESS 2021: 1-6 - [i6]Jingxin Zhang, Donghua Zhou, Maoyin Chen:
Monitoring nonstationary processes based on recursive cointegration analysis and elastic weight consolidation. CoRR abs/2101.08579 (2021) - [i5]Jingxin Zhang, Donghua Zhou, Maoyin Chen:
Self-learning sparse PCA for multimode process monitoring. CoRR abs/2108.03449 (2021) - [i4]Jinhua Guo, Hao Chen, Jingxin Zhang, Sheng Chen:
Structure Parameter Optimized Kernel Based Online Prediction with a Generalized Optimization Strategy for Nonstationary Time Series. CoRR abs/2108.08180 (2021) - 2020
- [j3]Dehao Wu
Multimode process monitoring based on fault dependent variable selection and moving window-negative log likelihood probability. Comput. Chem. Eng. 136: 106787 (2020) - [i3]Jingxin Zhang, Hao Chen, Songhang Chen, Xia Hong:
An improved mixture of probabilistic PCA for nonlinear data-driven process monitoring. CoRR abs/2012.06830 (2020) - [i2]Jingxin Zhang, Maoyin Chen, Hao Chen, Xia Hong, Donghua Zhou:
Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation. CoRR abs/2012.07021 (2020) - [i1]Jingxin Zhang, Donghua Zhou, Maoyin Chen:
Monitoring multimode processes: a modified PCA algorithm with continual learning ability. CoRR abs/2012.07044 (2020)
2010 – 2019
- 2019
- [j2]Jingxin Zhang
An Improved Mixture of Probabilistic PCA for Nonlinear Data-Driven Process Monitoring. IEEE Trans. Cybern. 49(1): 198-210 (2019) - [c3]Jingxin Zhang
Dynamic Laplacian eigenmaps for process monitoring. CAA SAFEPROCESS 2019: 59-63 - [c2]Min Wang, Maoyin Chen, Jingxin Zhang, Donghua Zhou:
A Non-Greedy Algorithm Based L1-Norm LDA Method for Fault Detection. CAA SAFEPROCESS 2019: 127-132 - 2017
- [j1]Shen Yin
A Data-Driven Learning Approach for Nonlinear Process Monitoring Based on Available Sensing Measurements. IEEE Trans. Ind. Electron. 64(1): 643-653 (2017) - 2014
- [c1]Shen Yin
Fault diagnosis of the continuous stirred tank heater using fuzzy-possibilistic c-means algorithm. ISIE 2014: 2445-2450
Coauthor Index
aka: Maoyin Chen
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