Xin Peng
Orcid: 0000-0001-9277-8415Affiliations:
- East China University of Science and Technology, Shanghai, China
According to our database1,
Xin Peng
authored at least 54 papers
between 2017 and 2025.
Collaborative distances:
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Bibliography
2025
A novel synchronous spatio-temporal relationship network for geographical-related time-spatial series forecasting.
Inf. Sci., 2025
Domain perceptive-pruning and fine-tuning the pre-trained model for heterogeneous transfer learning in cross domain prediction.
Expert Syst. Appl., 2025
2024
A Novel Hybrid-Action-Based Deep Reinforcement Learning for Industrial Energy Management.
IEEE Trans. Ind. Informatics, October, 2024
Deep Adaptive Fuzzy Clustering for Evolutionary Unsupervised Representation Learning.
IEEE Trans. Neural Networks Learn. Syst., May, 2024
Transferable Deep Slow Feature Network With Target Feature Attention for Few-Shot Time-Series Prediction.
IEEE Trans. Ind. Informatics, May, 2024
Large-Scale Data-Driven Optimization in Deep Modeling With an Intelligent Decision-Making Mechanism.
IEEE Trans. Cybern., May, 2024
A Transfer-Learning-Based Fault Detection Approach for Nonlinear Industrial Processes Under Unusual Operating Conditions.
IEEE Trans. Ind. Informatics, April, 2024
Unified Solutions to Optimal Fuzzy Observer-Based Fault Detection for Discrete-Time Nonlinear Systems.
IEEE Trans. Fuzzy Syst., April, 2024
A Two-Stage Multi-Target Domain Adaptation Framework for Prediction of Key Performance Indicators Based on Adversarial Network.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
Integration of Encoding and Temporal Forecasting: Toward End-to-End NO<sub>x</sub> Prediction for Industrial Chemical Process.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Fault Effect Identification-Based Adaptive Performance Self-Recovery Control Strategy for Wastewater Treatment Process.
IEEE Trans. Ind. Informatics, March, 2024
Multi-Level Medical Image Segmentation Network Based on Multi-Scale and Context Information Fusion Strategy.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024
Distributed secure consensus for multiagent systems based on removing intra-cluster coupling restrictions and its application to energy systems.
Inf. Sci., January, 2024
Regularized Wasserstein Distance-Based Joint Distribution Adaptation Approach for Fault Detection Under Variable Working Conditions.
IEEE Trans. Instrum. Meas., 2024
Small-Object Feature-Enhanced Visual Segmentation Model Based on BlendMask for Evaluating Sludge Performance.
IEEE Trans. Instrum. Meas., 2024
A Transferable Ensemble Additive Network for Interpretable Prediction of Key Performance Indicators.
IEEE Trans. Instrum. Meas., 2024
Robust Sparse Gaussian Process Regression for Soft Sensing in Industrial Big Data Under the Outlier Condition.
IEEE Trans. Instrum. Meas., 2024
OWFD-UCPM: An open-world fault diagnosis scheme based on uncertainty calibration and prototype management.
Knowl. Based Syst., 2024
Refinery planning optimization based on smart predict-then-optimize method under exogenous price uncertainty.
Comput. Chem. Eng., 2024
A Neural Additive Domain Adaptation Network with Interpretability for Fault Detection in Various Operating Conditions.
Proceedings of the IEEE International Conference on Industrial Technology, 2024
2023
Nitrogen Oxides Concentration Estimation of Diesel Engines Based on a Sparse Nonstationary Trigonometric Gaussian Process Regression With Maximizing the Composite Likelihood.
IEEE Trans. Ind. Electron., November, 2023
A Novel Distributed Fault Diagnosis Scheme Toward Open-Set Scenarios Based on Extreme Value Theory.
IEEE Trans. Ind. Informatics, October, 2023
Self-Healing Control for Wastewater Treatment Process Based on Variable-Gain State Observer.
IEEE Trans. Ind. Informatics, October, 2023
Residual-triggered threshold decision and performance self-healing control for wastewater treatment process.
Inf. Sci., September, 2023
Distributed Optimization Subject to Inseparable Coupled Constraints: A Case Study on Plant-Wide Ethylene Process.
IEEE Trans. Ind. Informatics, April, 2023
A Novel Interpretable Ensemble Learning Method for NIR-Based Rapid Characterization of Petroleum Products.
IEEE Trans. Instrum. Meas., 2023
Contour-Context Joint Blind Image Inpainting Network for Molecular Sieve Particle Size Measurement of SEM Images.
IEEE Trans. Instrum. Meas., 2023
Teacher-Student Uncertainty Autoencoder for the Process-Relevant and Quality-Relevant Fault Detection in the Industrial Process.
IEEE Trans. Artif. Intell., 2023
Data-Driven Fault Compensation Tracking Control for Coupled Wastewater Treatment Process.
IEEE CAA J. Autom. Sinica, 2023
Reinforcement Learning Based Gasoline Blending Optimization: Achieving More Efficient Nonlinear Online Blending of Fuels.
CoRR, 2023
CoRR, 2023
2022
Erratum to "Merged-Sampling Mask R-CNN With Random Proposal Expansion for Particle Measurement of SEM Images of Molecular Sieve Catalysts".
IEEE Trans. Instrum. Meas., 2022
Neural Network Based on Windowed Convolutional Transformation to Extract Features in Time Domain and Its Application on Soft Sensing.
IEEE Trans. Instrum. Meas., 2022
Optimal Observer-Based Fault Detection and Estimation Approaches for T-S Fuzzy Systems.
IEEE Trans. Fuzzy Syst., 2022
Observer-Based Secure Event-Triggered Bipartite Consensus Control of Linear Multiagent Systems Subject to Denial-of-Service Attacks.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
Accurate and Fast Deep Evolutionary Networks Structured Representation Through Activating and Freezing Dense Networks.
IEEE Trans. Cogn. Dev. Syst., 2022
Neural networks with upper and lower bound constraints and its application on industrial soft sensing modeling with missing values.
Knowl. Based Syst., 2022
Quality-relevant feature extraction method based on teacher-student uncertainty autoencoder and its application to soft sensors.
Inf. Sci., 2022
2021
Merged-Sampling Mask R-CNN With Random Proposal Expansion for Particle Measurement of SEM Images of Molecular Sieve Catalysts.
IEEE Trans. Instrum. Meas., 2021
IEEE Trans. Instrum. Meas., 2021
Model-Agnostic Meta-Learning With Optimal Alternative Scaling Value and Its Application to Industrial Soft Sensing.
IEEE Trans. Ind. Informatics, 2021
A Sparse Nonstationary Trigonometric Gaussian Process Regression and Its Application on Nitrogen Oxide Prediction of the Diesel Engine.
IEEE Trans. Ind. Informatics, 2021
Automatic determining optimal parameters in multi-kernel collaborative fuzzy clustering based on dimension constraint.
Neurocomputing, 2021
Representation Evaluation Block-based Teacher-Student Network for the Industrial Quality-relevant Performance Modeling and Monitoring.
CoRR, 2021
A deep learning-based robust optimization approach for refinery planning under uncertainty.
Comput. Chem. Eng., 2021
2020
Neurocomputing, 2020
Cross-Task Fault Diagnosis Based on Deep Domain Adaptation With Local Feature Learning.
IEEE Access, 2020
Plant-Wide Process Monitoring Strategy Based on Complex Network and Bayesian Inference-Based Multi-Block Principal Component Analysis.
IEEE Access, 2020
2018
A Just-in-Time Learning Based Monitoring and Classification Method for Hyper/Hypocalcemia Diagnosis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Neurocomputing, 2018
2017
Multimode Process Monitoring and Fault Detection: A Sparse Modeling and Dictionary Learning Method.
IEEE Trans. Ind. Electron., 2017
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
An online performance monitoring using statistics pattern based kernel independent component analysis for non-Gaussian process.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017