Yudong Cao
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2024
Unsupervised Fault Detection With Deep One-Class Classification and Manifold Distribution Alignment.
IEEE Trans. Ind. Informatics, February, 2024
Complex augmented representation network for transferable health prognosis of rolling bearing considering dynamic covariate shift.
Reliab. Eng. Syst. Saf., January, 2024
Source-free domain adaptation for transferable remaining useful life prediction of machine considering source data absence.
Reliab. Eng. Syst. Saf., 2024
Knowl. Based Syst., 2024
Online Knowledge Distillation for Machine Health Prognosis Considering Edge Deployment.
IEEE Internet Things J., 2024
Cost-sensitive learning considering label and feature distribution consistency: A novel perspective for health prognosis of rotating machinery with imbalanced data.
Expert Syst. Appl., 2024
An autoregressive model-based degradation trend prognosis considering health indicators with multiscale attention information.
Eng. Appl. Artif. Intell., 2024
An optimization algorithm for active noise control in stamping workshop based on maximum correntropy criterion.
Proceedings of the 2024 6th International Conference on Control and Computer Vision, 2024
Proceedings of the 2024 6th International Conference on Control and Computer Vision, 2024
2023
Remaining useful life prediction of bearings using multi-source adversarial online regression under online unknown conditions.
Expert Syst. Appl., October, 2023
Adv. Intell. Syst., October, 2023
Fault diagnosis of bearings using a two-stage transfer alignment approach with semantic consistency and entropy loss.
Expert Syst. Appl., September, 2023
Semi-supervised machinery health assessment framework via temporal broad learning system embedding manifold regularization with unlabeled data.
Expert Syst. Appl., July, 2023
Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry.
J. Chem. Inf. Model., June, 2023
Incremental Learning for Remaining Useful Life Prediction via Temporal Cascade Broad Learning System With Newly Acquired Data.
IEEE Trans. Ind. Informatics, April, 2023
Picture-in-Picture Strategy-Based Complex Graph Neural Network for Remaining Useful Life Prediction of Rotating Machinery.
IEEE Trans. Instrum. Meas., 2023
Intelligent Health Assessment of Aviation Bearing Based on Deep Transfer Graph Convolutional Networks under Large Speed Fluctuations.
Sensors, 2023
Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions.
Reliab. Eng. Syst. Saf., 2023
Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions.
Knowl. Based Syst., 2023
Self-Supervised Cluster-Contrast Distillation Hashing Network for Cross-Modal Retrieval.
IEEE Access, 2023
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Health Trend Prediction of Rolling Bearings using Transferable Autoregressive Recurrent Adaptation Approach.
Proceedings of the 10th International Conference on Dependable Systems and Their Applications, 2023
2022
Multiobjective Evolution Enhanced Collaborative Health Monitoring and Prognostics: A Case Study of Bearing Life Test With Three-Axis Acceleration Signals.
IEEE Trans. Instrum. Meas., 2022
Semi-supervised double attention guided assessment approach for remaining useful life of rotating machinery.
Reliab. Eng. Syst. Saf., 2022
Adv. Multim., 2022
Intelligent machinery health prognostics under variable operation conditions with limited and variable-length data.
Adv. Eng. Informatics, 2022
2021
Remaining Useful Life Estimation Under Multiple Operating Conditions via Deep Subdomain Adaptation.
IEEE Trans. Instrum. Meas., 2021
A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings.
Reliab. Eng. Syst. Saf., 2021
A novel Time-frequency Transformer and its Application in Fault Diagnosis of Rolling Bearings.
CoRR, 2021
2020
2018
基于有监督双正则NMF的静脉识别算法 (Vein Recognition Algorithm Based on Supervised NMF with Two Regularization Terms).
计算机科学, 2018
Speech Enhancement Control Design Algorithm for Dual-Microphone Systems Using <i>β</i>-NMF in a Complex Environment.
Complex., 2018
2017
Image multi-label annotation based on supervised nonnegative matrix factorization with new matching measurement.
Neurocomputing, 2017
Quantum Neuron: an elementary building block for machine learning on quantum computers.
CoRR, 2017
Proceedings of the Quantum Technology and Optimization Problems, 2017
2016
Combinatorial algorithms for perturbation theory and application on quantum computing
PhD thesis, 2016
基于有效维度特征的手背静脉识别算法 (Dorsal Hand Vein Recognition Algorithm Based on Effective Dimensional Feature).
计算机科学, 2016
2015
2012
Non-Contact Translation-Rotation Sensor Using Combined Effects of Magnetostriction and Piezoelectricity.
Sensors, 2012
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012
2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010