Yongsheng Zhu
Orcid: 0000-0002-9256-2427
According to our database1,
Yongsheng Zhu
authored at least 50 papers
between 2004 and 2024.
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Bibliography
2024
Semi-supervised small sample fault diagnosis under a wide range of speed variation conditions based on uncertainty analysis.
Reliab. Eng. Syst. Saf., February, 2024
Deep learning-based framework for regional risk assessment in a multi-ship encounter situation based on the transformer network.
Reliab. Eng. Syst. Saf., January, 2024
An Investigation Into the Behavior of Intelligent Fault Diagnostic Models Under Imbalanced Data.
IEEE Trans. Instrum. Meas., 2024
IEEE Internet Things J., 2024
Progressive generative adversarial network for generating high-dimensional and wide-frequency signals in intelligent fault diagnosis.
Eng. Appl. Artif. Intell., 2024
Neural architecture search for multi-sensor information fusion-based intelligent fault diagnosis.
Adv. Eng. Informatics, 2024
Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning.
Proceedings of the 33rd USENIX Security Symposium, 2024
2023
Blockchain enabled zero trust based authentication scheme for railway communication networks.
J. Cloud Comput., December, 2023
Performance Optimization in Frequency Estimation of Noisy Signals: Ds-IpDTFT Estimator.
Sensors, September, 2023
Few-Shot GAN: Improving the Performance of Intelligent Fault Diagnosis in Severe Data Imbalance.
IEEE Trans. Instrum. Meas., 2023
IEEE Trans. Instrum. Meas., 2023
Generative Adversarial Network With Dual Multiscale Feature Fusion for Data Augmentation in Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023
Uncertainty modelling and dynamic risk assessment for long-sequence AIS trajectory based on multivariate Gaussian Process.
Reliab. Eng. Syst. Saf., 2023
Generative adversarial networks driven by multi-domain information for improving the quality of generated samples in fault diagnosis.
Eng. Appl. Artif. Intell., 2023
2022
J. King Saud Univ. Comput. Inf. Sci., November, 2022
Adaptive cost-sensitive learning: Improving the convergence of intelligent diagnosis models under imbalanced data.
Knowl. Based Syst., 2022
Exploring fine-grained syntactic information for aspect-based sentiment classification with dual graph neural networks.
Neurocomputing, 2022
Gradient harmonized loss: Improving the performance of intelligent diagnosis models in large imbalance scenarios.
Proceedings of the 2022 IEEE International Conference on Prognostics and Health Management, 2022
Proceedings of the 4th International Conference on Data Intelligence and Security, 2022
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2022
2021
Differential evolution using improved crowding distance for multimodal multiobjective optimization.
Swarm Evol. Comput., 2021
Sensors, 2021
A novel weak fault diagnosis method for rolling bearings based on LSTM considering quasi-periodicity.
Knowl. Based Syst., 2021
An improved brain storm optimisation algorithm for energy-efficient train operation problem.
Int. J. Bio Inspired Comput., 2021
Text-independent speaker recognition based on adaptive course learning loss and deep residual network.
EURASIP J. Adv. Signal Process., 2021
Investigation on Sealing Performance and Power Consumption of a Novel Centrifugal Pump Type Oil Flinger for Turbocharger.
IEEE Access, 2021
SIntactical Distance Attention Guided Graph Convolutional Network for aspect-based sentiment analIsis.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Signal Process., 2020
Use of CdTe Quantum Dots as Heat Resistant Temperature Sensor for Bearing Rotating Elements Monitoring.
IEEE J. Sel. Areas Commun., 2020
A self-organized speciation based multi-objective particle swarm optimizer for multimodal multi-objective problems.
Appl. Soft Comput., 2020
2019
Solving dynamic economic emission dispatch problem considering wind power by multi-objective differential evolution with ensemble of selection method.
Nat. Comput., 2019
Dynamic economic emission dispatch based on multi-objective pigeon-inspired optimization with double disturbance.
Sci. China Inf. Sci., 2019
Dynamic Multi-Objective Dispatch Considering Wind Power and Electric Vehicles With Probabilistic Characteristics.
IEEE Access, 2019
Effects of Substrate Terminal on the Dynamic Resistance and the Midpoint Potential of High Voltage Cascode GaN HEMTs.
Proceedings of the International Conference on IC Design and Technology, 2019
Proceedings of the 2019 3rd International Conference on Digital Signal Processing, 2019
Proceedings of the Bio-inspired Computing: Theories and Applications, 2019
2018
A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems.
Swarm Evol. Comput., 2018
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018
2017
Int. J. Mach. Learn. Cybern., 2017
Using Multi-objective Evolutionary Algorithm to Solve Dynamic Environment and Economic Dispatch with EVs.
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017
Proceedings of the IEEE International Conference on Industrial Technology, 2017
2016
Economic emission dispatch problems with stochastic wind power using summation based multi-objective evolutionary algorithm.
Inf. Sci., 2016
Int. J. Online Eng., 2016
Research on the non-contact temperature measurement of bearing cage by thermosensitive CdTe quantum dots.
Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016
Study on the reliability evaluation method of equipment based on the Cloud-Logistic model.
Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016
2015
2013
Nonnegative matrix factorization and artificial immune based classification for fault diagnosis of diesel valve train.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013
2012
Proceedings of the 2012 IEEE International Conference on Automation Science and Engineering, 2012
2006
2004
Proceedings of the Advances in Neural Networks, 2004