Tianfu Li

Orcid: 0009-0007-2410-9595

According to our database1, Tianfu Li authored at least 17 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
WPConvNet: An Interpretable Wavelet Packet Kernel-Constrained Convolutional Network for Noise-Robust Fault Diagnosis.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Explainable Graph Wavelet Denoising Network for Intelligent Fault Diagnosis.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Physics-Constraint Variational Neural Network for Wear State Assessment of External Gear Pump.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis.
IEEE Trans. Cybern., January, 2024

2023
BP-SRM: A directly training algorithm for spiking neural network constructed by spike response model.
Neurocomputing, December, 2023

Graph attention U-Net to fuse multi-sensor signals for long-tailed distribution fault diagnosis.
Eng. Appl. Artif. Intell., November, 2023

Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios.
Eng. Appl. Artif. Intell., November, 2023

Smart filter aided domain adversarial neural network: An unsupervised domain adaptation method for fault diagnosis in noisy industrial scenarios.
CoRR, 2023

A Research of Spam Message Detection based on Ensemble Learning.
Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering, 2023

2022
WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Robust watermarking algorithm for medical images based on log-polar transform.
EURASIP J. Wirel. Commun. Netw., 2022

2021
Bayesian Differentiable Architecture Search for Efficient Domain Matching Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021

Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.
IEEE Trans. Instrum. Meas., 2021

Multireceptive Field Graph Convolutional Networks for Machine Fault Diagnosis.
IEEE Trans. Ind. Electron., 2021

Hierarchical attention graph convolutional network to fuse multi-sensor signals for remaining useful life prediction.
Reliab. Eng. Syst. Saf., 2021

Detecting cerebral microbleeds via deep learning with features enhancement by reusing ground truth.
Comput. Methods Programs Biomed., 2021

2020
Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study.
CoRR, 2020


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