Zisheng Wang
Orcid: 0000-0003-1722-2454
According to our database1,
Zisheng Wang authored at least 27 papers
between 2015 and 2026.
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Bibliography
2026
A recursive algorithm for reliability evaluation of multi-state hierarchical systems with stochastic dependent components.
Reliab. Eng. Syst. Saf., 2026
An adaptive industrial large language model for mechanical fault diagnosis under variable operating conditions.
Adv. Eng. Informatics, 2026
DUST-VLM: A light scattering imaging based vision-language model for dust risk monitoring.
Adv. Eng. Informatics, 2026
Dual-Domain Diffusion Priors and Image Fusion-Based Model for Metal Artifact Reduction in Clinical Dental CBCT Images.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026
2025
Multi-label domain adversarial reinforcement learning for unsupervised compound fault recognition.
Reliab. Eng. Syst. Saf., 2025
Domain reinforcement feature adaptation methodology with correlation alignment for compound fault diagnosis of rolling bearing.
Expert Syst. Appl., 2025
Adaptive fault diagnosis of railway vehicle on-board controller with large language models.
Appl. Soft Comput., 2025
Video transformer with three-dimensional shifted window multi-head self-attention for automatic part quality detection during two-photon lithography.
Adv. Eng. Informatics, 2025
Biologically inspired compound defect detection using a spiking neural network with continuous time-frequency gradients.
Adv. Eng. Informatics, 2025
Denoising autoencoder multilayer perceptron spiking neural network for isonicotinic acid yield prediction on real industrial dataset.
Adv. Eng. Informatics, 2025
2024
Noisy Open Set Adversarial Domain Adaption for Bearing Fault Diagnosis Based on Optimized Divergence.
IEEE Trans. Instrum. Meas., 2024
Application of the Finite Element Method for Analyzing the Vibration Characteristics of a Spindle System and Fault Diagnosis.
Symmetry, 2024
Open set transfer learning for bearing defect recognition based on selective momentum contrast and dual adversarial structure.
Adv. Eng. Informatics, 2024
A Method for Anomaly Detection in Power Energy Topology Graph Data Based on Domain Knowledge Graph and Graph Neural Networks.
Proceedings of the 10th IEEE Conference on Big Data Security on Cloud, 2024
2023
Transfer reinforcement learning method with multi-label learning for compound fault recognition.
Adv. Eng. Informatics, January, 2023
2022
A novel semi-supervised generative adversarial network based on the actor-critic algorithm for compound fault recognition.
Neural Comput. Appl., 2022
Multi-label fault recognition framework using deep reinforcement learning and curriculum learning mechanism.
Adv. Eng. Informatics, 2022
Alternative multi-label imitation learning framework monitoring tool wear and bearing fault under different working conditions.
Adv. Eng. Informatics, 2022
2021
Algorithms and Analysis for Optimizing the Tracking Performance of Cyber Attacked Sensor-Equipped Connected Vehicle Networks.
IEEE Trans. Inf. Forensics Secur., 2021
IEEE Signal Process. Lett., 2021
Intelligent fault recognition framework by using deep reinforcement learning with one dimension convolution and improved actor-critic algorithm.
Adv. Eng. Informatics, 2021
2020
A Statistical Learning-Based Algorithm for Topology Verification in Natural Gas Networks Based on Noisy Sensor Measurements.
IEEE Trans. Inf. Forensics Secur., 2020
Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020
2019
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019
2018
Clustering Data Association Using Data Relevance in Spatial Domain for Doppler-Only RSN Localization.
IEEE Trans. Aerosp. Electron. Syst., 2018
A Novel Adaptive Joint Time Frequency Algorithm by the Neural Network for the ISAR Rotational Compensation.
Remote. Sens., 2018
2015
Geometric phase carried by the observables and its application to quantum computation.
Quantum Inf. Comput., 2015