Guifu Du

Orcid: 0000-0003-2305-0353

According to our database1, Guifu Du authored at least 13 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
EnergyMatch: A long-tailed semi-supervised learning framework for cross-domain fault diagnosis.
Reliab. Eng. Syst. Saf., 2026

A novel knowledge-informed quadratic neurons residual network for explainable fault diagnosis in few-shot scenarios.
Eng. Appl. Artif. Intell., 2026

FFTLNet: A Find-first-then-look network for railway signal detection.
Digit. Signal Process., 2026

Classification bias and regression bias adjustment for long-tailed traffic sign detection and recognition.
Digit. Signal Process., 2026

2024
A More Balanced Loss-Reweighting Method for Long-Tailed Traffic Sign Detection and Recognition.
IEEE Trans. Intell. Transp. Syst., December, 2024

Low-Rank Constrained Multikernel General Parameterized Time-Frequency Transform and Its Application in Rotating Machine Fault Diagnosis Under Varying Speed Condition.
IEEE Trans. Instrum. Meas., 2024

2023
Double-Scale Convolutional Autoencoder and Extreme Learning Machine for Parameter Identification of DC Bus Capacitor in Power Electronic Transformer.
IEEE Trans. Ind. Informatics, August, 2023

2022
Long-Tailed Traffic Sign Detection Using Attentive Fusion and Hierarchical Group Softmax.
IEEE Trans. Intell. Transp. Syst., 2022

Adaptive Swarm Decomposition Guided by Spectral Characteristic Information Scanner and Its Application for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022

2021
Four Consecutive Samples Based Frequency Estimation for Single-Phase Grids With DC Offsets.
IEEE Trans. Ind. Electron., 2021

2020
An Optimization Tendency Guiding Mode Decomposition Method for Bearing Fault Detection Under Varying Speed Conditions.
IEEE Access, 2020

2019
Analysis of Rail Potential with the Influence of Multi-node Power Distribution in Urban Rail Power Supply System.
Proceedings of the IECON 2019, 2019

2018
An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis.
IEEE Access, 2018


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