Qunxiong Zhu
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2024
IEEE Trans. Ind. Informatics, April, 2024
Novel Schur Decomposition Orthogonal Exponential DLPP With Mixture Distance for Fault Diagnosis.
IEEE Trans. Ind. Informatics, April, 2024
Data Mode-Related Generative Adversarial Network for Industrial Soft Sensor Application.
IEEE Trans. Ind. Informatics, March, 2024
Improved Bi-LSTM With Distributed Nonlinear Extensions and Parallel Inputs for Soft Sensing.
IEEE Trans. Ind. Informatics, March, 2024
IEEE Trans. Ind. Informatics, March, 2024
Novel dual-network autoencoder based adversarial domain adaptation with Wasserstein divergence for fault diagnosis of unlabeled data.
Expert Syst. Appl., March, 2024
Quality Regularization-Based Semisupervised Adversarial Transfer Model With Unlabeled Data for Industrial Soft Sensing.
IEEE Trans. Ind. Informatics, February, 2024
Adversarial Attacks for Neural Network-Based Industrial Soft Sensors: Mirror Output Attack and Translation Mirror Output Attack.
IEEE Trans. Ind. Informatics, February, 2024
Novel Deep Layers-Extended Autoencoder With Correlation and Its Industrial Soft Sensing.
IEEE Trans. Ind. Informatics, January, 2024
2023
A Novel Wrapped Feature Selection Framework for Developing Power System Intrusion Detection Based on Machine Learning Methods.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023
Novel Regularization Double Preserving Integrated With Neighborhood Locality Projections for Fault Diagnosis.
IEEE Trans. Ind. Informatics, October, 2023
Novel Feature-Disentangled Autoencoder Integrating Residual Network for Industrial Soft Sensor.
IEEE Trans. Ind. Informatics, October, 2023
Novel virtual sample generation method based on data augmentation and weighted interpolation for soft sensing with small data.
Expert Syst. Appl., September, 2023
Farthest-Nearest Distance Neighborhood and Locality Projections Integrated With Bootstrap for Industrial Process Fault Diagnosis.
IEEE Trans. Ind. Informatics, May, 2023
Improved Locality Preserving Projections Based on Heat-Kernel and Cosine Weights for Fault Classification in Complex Industrial Processes.
IEEE Trans. Reliab., March, 2023
Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis.
IEEE Trans. Reliab., March, 2023
Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing.
Eng. Appl. Artif. Intell., March, 2023
IET Image Process., January, 2023
Novel Bootstrap-Based Discriminant NPE Integrated With Orthogonal LPP for Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023
A New Distributed Echo State Network Integrated With an Auto-Encoder for Dynamic Soft Sensing.
IEEE Trans. Instrum. Meas., 2023
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023
2022
Novel K-Medoids Based SMOTE Integrated With Locality Preserving Projections for Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
Novel Stacked Input-Enhanced Supervised Autoencoder Integrated With Gated Recurrent Unit for Soft Sensing.
IEEE Trans. Instrum. Meas., 2022
IEEE Trans. Instrum. Meas., 2022
Novel Imbalanced Fault Diagnosis Method based on CSMOTE integrated with LSDA and LightGBM for Industrial Process.
Proceedings of the 8th International Conference on Control, 2022
2021
Novel Virtual Sample Generation Using Target-Relevant Autoencoder for Small Data-Based Soft Sensor.
IEEE Trans. Instrum. Meas., 2021
Fault Diagnosis Using Improved Discrimination Locality Preserving Projections Integrated With Sparse Autoencoder.
IEEE Trans. Instrum. Meas., 2021
Integrating virtual sample generation with input-training neural network for solving small sample size problems: application to purified terephthalic acid solvent system.
Soft Comput., 2021
Novel virtual sample generation using conditional GAN for developing soft sensor with small data.
Eng. Appl. Artif. Intell., 2021
A virtual sample generation approach based on a modified conditional GAN and centroidal Voronoi tessellation sampling to cope with small sample size problems: Application to soft sensing for chemical process.
Appl. Soft Comput., 2021
2020
Dealing with small sample size problems in process industry using virtual sample generation: a Kriging-based approach.
Soft Comput., 2020
Fault diagnosis using novel AdaBoost based discriminant locality preserving projection with resamples.
Eng. Appl. Artif. Intell., 2020
An Improved Term Weighting Method for Content Analysis on Chinese Internet Media Contents.
Proceedings of the 7th International Conference on Control, 2020
2019
A Novel Hybrid Method Integrating ICA-PCA With Relevant Vector Machine for Multivariate Process Monitoring.
IEEE Trans. Control. Syst. Technol., 2019
Dynamic Minimax Probability Machine-Based Approach for Fault Diagnosis Using Pairwise Discriminate Analysis.
IEEE Trans. Control. Syst. Technol., 2019
Intelligent modeling using a novel feature extraction based multiple activation functions extreme learning machine.
Proceedings of the 16th IEEE International Conference on Networking, Sensing and Control, 2019
Improved Alarm Visualization System Based on Two-Dimensional Online Root-cause Contribution Graph for Industry 4.0.
Proceedings of the 16th IEEE International Conference on Networking, Sensing and Control, 2019
Proceedings of the 12th Asian Control Conference, 2019
Fault Diagnosis of Chemical Processes Based on a novel Adaptive Kernel Principal Component Analysis.
Proceedings of the 12th Asian Control Conference, 2019
2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Energy modeling and efficiency optimization using a novel extreme learning fuzzy logic network.
Proceedings of the 5th International Conference on Control, 2018
A novel nonlinear virtual sample generation approach integrating extreme learning machine with noise injection for enhancing energy modeling and analysis on small data: Application to petrochemical industries.
Proceedings of the 5th International Conference on Control, 2018
Proceedings of the 5th International Conference on Control, 2018
2017
Energy consumption analysis and evaluation of petrochemical industries using an improved fuzzy analytic hierarchy process approach.
J. Intell. Fuzzy Syst., 2017
The numerical method for the optimal supporting position and related optimal control for the catalytic reaction system.
Clust. Comput., 2017
Computational optimal control for the time fractional convection-diffusion-reaction system.
Clust. Comput., 2017
Pairwise discriminate analysis based minimax probability machine (PDA-MPM) approach for fault diagnosis.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017
A novel EFSM-based ELM double-faults identification approach and its application to non-linear processes.
Proceedings of the 11th Asian Control Conference, 2017
An enhanced extreme learning machine with a double parallel structure and its application to modeling complex chemical processes.
Proceedings of the 11th Asian Control Conference, 2017
2015
Positive and negative correlation input attributes oriented subnets based double parallel extreme learning machine (PNIAOS-DPELM) and its application to monitoring chemical processes in steady state.
Neurocomputing, 2015
A data-attribute-space-oriented double parallel (DASODP) structure for enhancing extreme learning machine: Applications to regression datasets.
Eng. Appl. Artif. Intell., 2015
Energy efficiency analysis based on DEA integrated ISM: A case study for Chinese ethylene industries.
Eng. Appl. Artif. Intell., 2015
Proceedings of the International Conference on Cloud Computing and Big Data, 2015
2014
A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise.
Neurocomputing, 2014
2013
A piecewise linear chaotic map and sequential quadratic programming based robust hybrid particle swarm optimization.
Inf. Sci., 2013
Proceedings of the Fifth International Conference on Digital Image Processing, 2013
2012
J. Comput., 2012
2011
J. Softw., 2011
Hierarchy probability cost analysis model incorporate MAIMS principle for EPC project cost estimation.
Expert Syst. Appl., 2011
2010
Proceedings of the Web Information Systems and Mining - International Conference, 2010
A Novel Fast Non-negative Matrix Factorization Algorithm and Its Application in Text Clustering.
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010
Multi-layer moving-window hierarchical neural network for modeling of high-density polyethylene cascade reaction process.
Proceedings of the 11th International Conference on Control, 2010
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010
2009
Expert Syst. Appl., 2009
2008
Proceedings of the International Conference on Computer Science and Software Engineering, 2008
2007
Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007
Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007
2006
Fuzzy multi-attribute decision-making method based on eigenvector of fuzzy attribute evaluation space.
Decis. Support Syst., 2006