Yongsheng Zhu

Orcid: 0000-0002-9256-2427

According to our database1, Yongsheng Zhu authored at least 46 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

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

A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis.
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
Automatic mapping of configuration options in software using static analysis.
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

Detecting Vulnerabilities in Ethereum Smart Contracts with Deep Learning.
Proceedings of the 4th International Conference on Data Intelligence and Security, 2022

Prevention of GAN-Based Privacy Inferring Attacks Towards Federated Learning.
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

An Effective Self-Powered Piezoelectric Sensor for Monitoring Basketball Skills.
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
A novel multiobjective optimization algorithm for sparse signal reconstruction.
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

Face Recognition Based on FP-Growth Improved LBP Operator.
Proceedings of the 2019 3rd International Conference on Digital Signal Processing, 2019

Prediction of Photovoltaic Power Generation Based on POS-BP Neural Network.
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

Deep Forest with Local Experts Based on ELM for Pedestrian Detection.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

2017
A path planner based on multivariant optimization algorithm with absorption.
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

A zero human-intervention provisioning for industrial IoT devices.
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

A Front Tracking Method Based on Runge-Kutta Discontinuous Galerkin Methods.
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
Performance Analysis of Gang Scheduling in a Grid.
J. Netw. Syst. Manag., 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
A novelty degradation assessment method for equipment based on multi-kernel SVDD.
Proceedings of the 2012 IEEE International Conference on Automation Science and Engineering, 2012

2006
A Speedup Method for SVM Decision.
Proceedings of the Structural, 2006

2004
A Practical Parameters Selection Method for SVM.
Proceedings of the Advances in Neural Networks, 2004


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