Ning Zhang

Orcid: 0000-0002-6793-1518

Affiliations:
  • Beijing University of Chemical Technology (BUCT), Beijing, China


According to our database1, Ning Zhang authored at least 13 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
Cross-Modality Manifold Adaptive Network for Industrial Multimode Processes and Its Applications.
IEEE Trans Autom. Sci. Eng., 2025

Weighted nonlinear information extension based time series Kolmogorov-Arnold Network for industrial application with soft sensing.
Eng. Appl. Artif. Intell., 2025

2024
Feature Representation-Based Cross-Modality Shared-Specific Network and Its Application in Multimode Process Soft Sensing.
IEEE Trans. Ind. Informatics, October, 2024

Improved Multi-Distance ARMF Integrated With LTSA Based Pattern Matching Method and Its Application in Fault Diagnosis.
IEEE Trans Autom. Sci. Eng., July, 2024

Novel dual-network autoencoder based adversarial domain adaptation with Wasserstein divergence for fault diagnosis of unlabeled data.
Expert Syst. Appl., March, 2024

IC points weight learning-based GCN and improving feature distribution for industrial fault diagnosis.
Expert Syst. Appl., 2024

2023
Novel Regularization Double Preserving Integrated With Neighborhood Locality Projections for Fault Diagnosis.
IEEE Trans. Ind. Informatics, October, 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 Bootstrap-Based Discriminant NPE Integrated With Orthogonal LPP for Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023

2022
Novel K-Medoids Based SMOTE Integrated With Locality Preserving Projections for Fault Diagnosis.
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
Fault Diagnosis Using Improved Discrimination Locality Preserving Projections Integrated With Sparse Autoencoder.
IEEE Trans. Instrum. Meas., 2021


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