Yadong Xu
Orcid: 0000-0003-0713-4434
According to our database1,
Yadong Xu
authored at least 53 papers
between 2012 and 2024.
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Bibliography
2024
Cross-Modal Fusion Convolutional Neural Networks With Online Soft-Label Training Strategy for Mechanical Fault Diagnosis.
IEEE Trans. Ind. Informatics, January, 2024
Multiattention-Based Feature Aggregation Convolutional Networks With Dual Focal Loss for Fault Diagnosis of Rotating Machinery Under Data Imbalance Conditions.
IEEE Trans. Instrum. Meas., 2024
IEEE Trans. Instrum. Meas., 2024
Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Digital twin-driven focal modulation-based convolutional network for intelligent fault diagnosis.
Reliab. Eng. Syst. Saf., December, 2023
Integrated intelligent fault diagnosis approach of offshore wind turbine bearing based on information stream fusion and semi-supervised learning.
Expert Syst. Appl., December, 2023
IFD-MDCN: Multibranch denoising convolutional networks with improved flow direction strategy for intelligent fault diagnosis of rolling bearings under noisy conditions.
Reliab. Eng. Syst. Saf., September, 2023
CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery.
Inf. Fusion, July, 2023
Retailing and ordering strategies for online apparel retailers facing bracketing purchase behaviour.
Int. J. Prod. Res., May, 2023
Deep order-wavelet convolutional variational autoencoder for fault identification of rolling bearing under fluctuating speed conditions.
Expert Syst. Appl., April, 2023
Joint Threshold Learning Convolutional Networks for Intelligent Fault Diagnosis Under Nonstationary Conditions.
IEEE Trans. Instrum. Meas., 2023
Global contextual multiscale fusion networks for machine health state identification under noisy and imbalanced conditions.
Reliab. Eng. Syst. Saf., 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Hierarchical Multiscale Dense Networks for Intelligent Fault Diagnosis of Electromechanical Systems.
IEEE Trans. Instrum. Meas., 2022
IEEE Trans. Ind. Electron., 2022
Syst., 2022
Signal Process., 2022
Dually attentive multiscale networks for health state recognition of rotating machinery.
Reliab. Eng. Syst. Saf., 2022
Global contextual residual convolutional neural networks for motor fault diagnosis under variable-speed conditions.
Reliab. Eng. Syst. Saf., 2022
Attention-based multiscale denoising residual convolutional neural networks for fault diagnosis of rotating machinery.
Reliab. Eng. Syst. Saf., 2022
Trajectory Design and Access Control for Air-Ground Coordinated Communications System With Multiagent Deep Reinforcement Learning.
IEEE Internet Things J., 2022
Reliable Fault Diagnosis of Bearings Using an Optimized Stacked Variational Denoising Auto-Encoder.
Entropy, 2022
2021
Deep regularized variational autoencoder for intelligent fault diagnosis of rotor-bearing system within entire life-cycle process.
Knowl. Based Syst., 2021
A novel multi-scale fusion framework for detail-preserving low-light image enhancement.
Inf. Sci., 2021
Intelligent Fault Diagnosis of Rolling-Element Bearings Using a Self-Adaptive Hierarchical Multiscale Fuzzy Entropy.
Entropy, 2021
Application of Generalized Composite Multiscale Lempel-Ziv Complexity in Identifying Wind Turbine Gearbox Faults.
Entropy, 2021
Multiscale Dense Convolutional Networks for Intelligent Fault Diagnosis of Rolling Bearing.
Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Fidelity and Performance of State Fast-forwarding in Microscopic Traffic Simulations.
ACM Trans. Model. Comput. Simul., 2020
Multi-focus image fusion using learning based matting with sum of the Gaussian-based modified Laplacian.
Digit. Signal Process., 2020
Proceedings of the Winter Simulation Conference, 2020
Proceedings of the International Symposium on Community-centric Systems, 2020
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
2019
IEEE Access, 2019
Size Optimization Design for Cantilever Structure of an Ammunition Supply Truck Based on Optistruct.
Proceedings of the 2019 4th International Conference on Automation, 2019
Research on Modern Design Technology of the Recuperator Combined With Neural Network.
Proceedings of the 2019 4th International Conference on Automation, 2019
2018
Proceedings of the 2018 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2018
2017
PhD thesis, 2017
Reducing Synchronization Overhead with Computation Replication in Parallel Agent-Based Road Traffic Simulation.
IEEE Trans. Parallel Distributed Syst., 2017
ACM Trans. Model. Comput. Simul., 2017
Proceedings of the 2017 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2017
2016
Kinematic error modeling and analysis of the loading device based on multi-body theory and stream of variation theory.
Proceedings of the IEEE International Conference on Information and Automation, 2016
Proceedings of the IEEE International Conference on Information and Automation, 2016
2015
An Asynchronous Synchronization Strategy for Parallel Large-scale Agent-based Traffic Simulations.
Proceedings of the 3rd ACM Conference on SIGSIM-Principles of Advanced Discrete Simulation, London, United Kingdom, June 10, 2015
2014
Efficient graph-based dynamic load-balancing for parallel large-scale agent-based traffic simulation.
Proceedings of the 2014 Winter Simulation Conference, 2014
2013
Proceedings of the AsiaSim 2013, 2013
2012
Proceedings of the 2012 IEEE International Conference on Robotics and Biomimetics, 2012
Proceedings of the 26th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation, 2012