Xinmin Zhang
Orcid: 0000-0001-9354-2025
According to our database1,
Xinmin Zhang
authored at least 48 papers
between 2007 and 2024.
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Bibliography
2024
A 3-D Convolution-Based Burn-Through Point Multistep Prediction Model for Sintering Process.
IEEE Trans. Ind. Electron., April, 2024
Deep Learning of Partially Labeled Data for Quality Prediction Based on Stacked Target-Related Laplacian Autoencoder.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Information Complementary Fusion Stacked Autoencoders for Soft Sensor Applications in Multimode Industrial Processes.
IEEE Trans. Ind. Informatics, January, 2024
Mechanism of balloon burst during transcatheter aortic valve replacement pre-dilatation: Image observation and validation by finite element analysis.
Comput. Biol. Medicine, January, 2024
Adversarial Learning From Imbalanced Data: A Robust Industrial Fault Classification Method.
IEEE Trans. Inf. Forensics Secur., 2024
2023
Multisource Information Fusion for Autoformer: Soft Sensor Modeling of FeO Content in Iron Ore Sintering Process.
IEEE Trans. Ind. Informatics, December, 2023
Reinforcement learning-based cost-sensitive classifier for imbalanced fault classification.
Sci. China Inf. Sci., November, 2023
IEEE Trans. Ind. Informatics, August, 2023
First attempt of barrier functions for Caputo's fractional-order nonlinear dynamical systems.
Sci. China Inf. Sci., July, 2023
A Faster Dynamic Feature Extractor and Its Application to Industrial Quality Prediction.
IEEE Trans. Ind. Informatics, May, 2023
Stacked supervised Poisson autoencoders-based soft-sensor for defects prediction in steelmaking process.
Comput. Chem. Eng., April, 2023
Frontiers Inf. Technol. Electron. Eng., March, 2023
Feature-Aligned Stacked Autoencoder: A Novel Semisupervised Deep Learning Model for Pattern Classification of Industrial Faults.
IEEE Trans. Artif. Intell., 2023
Balanced Adversarial Robust Learning for Industrial Fault Classification with Imbalanced Data.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
A Decomposition-based Encoder-Decoder Framework for Multi-step Prediction of Burn-Through Point in Sintering Process.
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023
Rolling bearing fault diagnosis with variable load and few samples based on multifeature fusion meta-learning.
Proceedings of the CAA Symposium on Fault Detection, 2023
GPBP: Pipeline Extraction of Entities and Relations for Construction of Urban Utility Tunnel Knowledge Graph.
Proceedings of the CAA Symposium on Fault Detection, 2023
2022
Peer-to-Peer Electricity Trading of Interconnected Flexible Distribution Networks Based on Distributed Ledger.
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Ind. Informatics, 2022
DSTED: A Denoising Spatial-Temporal Encoder-Decoder Framework for Multistep Prediction of Burn-Through Point in Sintering Process.
IEEE Trans. Ind. Electron., 2022
Hessian Semisupervised Scatter Regularized Classification Model With Geometric and Discriminative Information for Nonlinear Process.
IEEE Trans. Cybern., 2022
Softw. Pract. Exp., 2022
Frontiers Inf. Technol. Electron. Eng., 2022
Eng. Appl. Artif. Intell., 2022
A Novel Attempt of Barrier Function to the Safety of Caputo's fractional-order systems.
Proceedings of the 8th International Conference on Control, 2022
Remaining Useful Life Predictions for Turbofan Engine Using Semi-supervised DBN-LSTM Joint Training Model.
Proceedings of the 8th International Conference on Control, 2022
2021
Dynamic Variational Bayesian Student's T Mixture Regression With Hidden Variables Propagation for Industrial Inferential Sensor Development.
IEEE Trans. Ind. Informatics, 2021
Reinforced knowledge distillation: Multi-class imbalanced classifier based on policy gradient reinforcement learning.
Neurocomputing, 2021
Evolutionary overview of water resource management (1990-2019) based on a bibliometric analysis in Web of Science.
Ecol. Informatics, 2021
Quickomics: exploring omics data in an intuitive, interactive and informative manner.
Bioinform., 2021
2020
Impacts of Land Cover/Use on the Urban Thermal Environment: A Comparative Study of 10 Megacities in China.
Remote. Sens., 2020
CHOmics: A web-based tool for multi-omics data analysis and interactive visualization in CHO cell lines.
PLoS Comput. Biol., 2020
Comput. Chem. Eng., 2020
2019
PhD thesis, 2019
A comparative study of deep and shallow predictive techniques for hot metal temperature prediction in blast furnace ironmaking.
Comput. Chem. Eng., 2019
Comput. Chem. Eng., 2019
Proceedings of the 58th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2019
2018
Quantifying Surface Urban Heat Island Formation in the World Heritage Tropical Mountain City of Sri Lanka.
ISPRS Int. J. Geo Inf., 2018
Quality-relevant independent component regression model for virtual sensing application.
Comput. Chem. Eng., 2018
Principal Polynomial Analysis for Fault Detection and Diagnosis of Industrial Processes.
IEEE Access, 2018
Proceedings of the IECON 2018, 2018
Improving Ensemble Learning Performance with Complementary Neural Networks for Facial Expression Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
2017
Locally weighted kernel partial least squares regression based on sparse nonlinear features for virtual sensing of nonlinear time-varying processes.
Comput. Chem. Eng., 2017
Research on the Improvement of CNC Machine Tool HMI Based on Eye Tracking Experiment.
Proceedings of the 5th International Conference on Enterprise Systems, 2017
Pattern trees modeling for prediction and control of hot metal temperature in blast furnace ironmaking.
Proceedings of the 11th Asian Control Conference, 2017
2016
MethPat: a tool for the analysis and visualisation of complex methylation patterns obtained by massively parallel sequencing.
BMC Bioinform., 2016
2013
2007