Jingxin Zhang - RankMe

26 papers Journal 22Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An adaptive fault diagnosis framework with limited fault data for nonstationary processes. Neurocomputing Zhuolin Deng, Yueche Chen, Kunlong Chen, Jingxin Zhang
2025	J	`jnl`	An efficient multimodal attentional principal component analysis for continual learning-based dynamic process monitoring. Neurocomputing Jingxin Zhang, Haikun Wei, Kanjian Zhang, James Xiao, Xia Hong
2025	J	`jnl`	Multimodal Continual Learning for Process Monitoring: A Novel Weighted Canonical Correlation Analysis With Attention Mechanism. IEEE Trans. Neural Networks Learn. Syst. Jingxin Zhang, James Xiao, Maoyin Chen, Xia Hong
2025	J	`jnl`	Self-learning stationary subspace analysis for fault detection of industrial processes with varying operation conditions. Eng. Appl. Artif. Intell. Dehao Wu, Jianan Deng, Jingxin Zhang, Keke Huang, Chunhua Yang, Weihua Gui
2024	J	`jnl`	Continual Learning-Based Probabilistic Slow Feature Analysis for Monitoring Multimode Nonstationary Processes. IEEE Trans Autom. Sci. Eng. Jingxin Zhang, Donghua Zhou, Maoyin Chen, Xia Hong
2024	J	`jnl`	SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-Hoc Interpretable Fault Diagnosis With Limited Fault Samples. IEEE Trans. Neural Networks Learn. Syst. Mengxuan Li, Peng Peng, Jingxin Zhang, Hongwei Wang, Weiming Shen
2023	J	`jnl`	Adaptive Cointegration Analysis and Modified RPCA With Continual Learning Ability for Monitoring Multimode Nonstationary Processes. IEEE Trans. Cybern. Jingxin Zhang, Donghua Zhou, Maoyin Chen
2023	J	`jnl`	Continual Learning for Multimode Dynamic Process Monitoring With Applications to an Ultra-Supercritical Thermal Power Plant. IEEE Trans Autom. Sci. Eng. Jingxin Zhang, Donghua Zhou, Maoyin Chen, Xia Hong
2023	J	`jnl`	Monitoring Multimode Nonlinear Dynamic Processes: An Efficient Sparse Dynamic Approach With Continual Learning Ability. IEEE Trans. Ind. Informatics Jingxin Zhang, Maoyin Chen, Xia Hong
2023	J	`jnl`	Self-Learning Sparse PCA for Multimode Process Monitoring. IEEE Trans. Ind. Informatics Jingxin Zhang, Donghua Zhou, Maoyin Chen
2022	J	`jnl`	Continual learning-based probabilistic slow feature analysis for multimode dynamic process monitoring. CoRR Jingxin Zhang, Donghua Zhou, Maoyin Chen, Xia Hong
2022	J	`jnl`	Structure Parameter Optimized Kernel Based Online Prediction With a Generalized Optimization Strategy for Nonstationary Time Series. IEEE Trans. Signal Process. Jinhua Guo, Hao Chen, Jingxin Zhang, Sheng Chen
2021	J	`jnl`	Monitoring nonstationary processes based on recursive cointegration analysis and elastic weight consolidation. CoRR Jingxin Zhang, Donghua Zhou, Maoyin Chen
2021	J	`jnl`	Nonlinear process monitoring using a mixture of probabilistic PCA with clusterings. Neurocomputing Jingxin Zhang, Maoyin Chen, Xia Hong
2021	J	`jnl`	Self-learning sparse PCA for multimode process monitoring. CoRR Jingxin Zhang, Donghua Zhou, Maoyin Chen
2021	—	`conf`	Sparse DiPCA for dynamic process monitoring. CAA SAFEPROCESS Jingxin Zhang, Donghua Zhou, Maoyin Chen
2021	J	`jnl`	Structure Parameter Optimized Kernel Based Online Prediction with a Generalized Optimization Strategy for Nonstationary Time Series. CoRR Jinhua Guo, Hao Chen, Jingxin Zhang, Sheng Chen
2020	J	`jnl`	An improved mixture of probabilistic PCA for nonlinear data-driven process monitoring. CoRR Jingxin Zhang, Hao Chen, Songhang Chen, Xia Hong
2020	J	`jnl`	Monitoring multimode processes: a modified PCA algorithm with continual learning ability. CoRR Jingxin Zhang, Donghua Zhou, Maoyin Chen
2020	J	`jnl`	Multimode process monitoring based on fault dependent variable selection and moving window-negative log likelihood probability. Comput. Chem. Eng. Dehao Wu, Donghua Zhou, Jingxin Zhang, Maoyin Chen
2020	J	`jnl`	Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation. CoRR Jingxin Zhang, Maoyin Chen, Hao Chen, Xia Hong, Donghua Zhou
2019	—	`conf`	A Non-Greedy Algorithm Based L1-Norm LDA Method for Fault Detection. CAA SAFEPROCESS Min Wang, Maoyin Chen, Jingxin Zhang, Donghua Zhou
2019	J	`jnl`	An Improved Mixture of Probabilistic PCA for Nonlinear Data-Driven Process Monitoring. IEEE Trans. Cybern. Jingxin Zhang, Hao Chen, Songhang Chen, Xia Hong
2019	—	`conf`	Dynamic Laplacian eigenmaps for process monitoring. CAA SAFEPROCESS Jingxin Zhang, Maoyin Chen, Donghua Zhou
2017	J	`jnl`	A Data-Driven Learning Approach for Nonlinear Process Monitoring Based on Available Sensing Measurements. IEEE Trans. Ind. Electron. Shen Yin, Chengming Yang, Jingxin Zhang, Yuchen Jiang
2014	—	`conf`	Fault diagnosis of the continuous stirred tank heater using fuzzy-possibilistic c-means algorithm. ISIE Shen Yin, Jingxin Zhang