Baokun Han

Orcid: 0000-0001-7367-6253

According to our database1, Baokun Han authored at least 29 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Elimination of Random Mixed Noise in ECG Using Convolutional Denoising Autoencoder With Transformer Encoder.
IEEE J. Biomed. Health Informatics, April, 2024

Predicting spontaneous termination of atrial fibrillation based on dual path network and feature selection.
Biomed. Signal Process. Control., February, 2024

An attention mechanism-guided domain adversarial network for gearbox fault diagnosis under different operating conditions.
Trans. Inst. Meas. Control, 2024

A New Dual-Domain Signal Collaborative Transfer Network for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024

2023
Diagnosis of atrial fibrillation using self-complementary attentional convolutional neural network.
Comput. Methods Programs Biomed., August, 2023

Digital twin aided adversarial transfer learning method for domain adaptation fault diagnosis.
Reliab. Eng. Syst. Saf., June, 2023

A Novel Domain Adaptive Fault Diagnosis Method for Bearings Based on Unbalance Data Generation.
IEEE Trans. Instrum. Meas., 2023

Multi-path Heart Sound Detection Based on Wavelet Scattering and Attention Mechanism.
Proceedings of the 16th International Congress on Image and Signal Processing, 2023

2022
Partial Domain Adaptation Method Based on Class-Weighted Alignment for Fault Diagnosis of Rotating Machinery.
IEEE Trans. Instrum. Meas., 2022

Cooperative Game Approach to Robust Control Design for Fuzzy Dynamical Systems.
IEEE Trans. Cybern., 2022

ReMac: A Matrix Computation System with Redundancy Elimination.
Proc. VLDB Endow., 2022

Parallel Cross-Sparse Filtering Networks and Its Application on Fault Diagnosis of Rotating Machinery.
J. Sensors, 2022

Redundancy Elimination in Distributed Matrix Computation.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Efficient Matrix Computation for SGD-Based Algorithms on Apache Spark.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
A Hierarchical Control Design Framework for Fuzzy Mechanical Systems With High-Order Uncertainty Bound.
IEEE Trans. Fuzzy Syst., 2021

A Generalizable Sample Resolution Augmentation Method for Mechanical Fault Diagnosis Based on ESPCN.
J. Sensors, 2021

Parallel sparse filtering for intelligent fault diagnosis using acoustic signal processing.
Neurocomputing, 2021

An intelligent diagnosis framework for roller bearing fault under speed fluctuation condition.
Neurocomputing, 2021

A New Universal Domain Adaptive Method for Diagnosing Unknown Bearing Faults.
Entropy, 2021

A Weighted Subdomain Adaptation Network for Partial Transfer Fault Diagnosis of Rotating Machinery.
Entropy, 2021

Detection and classification of marine mammal sounds using AlexNet with transfer learning.
Ecol. Informatics, 2021

2020
Deep Adaptive Adversarial Network-Based Method for Mechanical Fault Diagnosis under Different Working Conditions.
Complex., 2020

Multidimensional Blind Deconvolution Method Based on Cross-Sparse Filtering for Weak Fault Diagnosis.
IEEE Access, 2020

A Novel Data Augmentation Method for Intelligent Fault Diagnosis Under Speed Fluctuation Condition.
IEEE Access, 2020

A Generic Intelligent Bearing Fault Diagnosis System Using Convolutional Neural Networks With Transfer Learning.
IEEE Access, 2020

A Novel Transfer Learning Method for Fault Diagnosis Using Maximum Classifier Discrepancy With Marginal Probability Distribution Adaptation.
IEEE Access, 2020

Research and Application of Regularized Sparse Filtering Model for Intelligent Fault Diagnosis Under Large Speed Fluctuation.
IEEE Access, 2020

Data-Enhanced Stacked Autoencoders for Insufficient Fault Classification of Machinery and its Understanding via Visualization.
IEEE Access, 2020

2019
Generalization of Deep Neural Networks for Imbalanced Fault Classification of Machinery Using Generative Adversarial Networks.
IEEE Access, 2019


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