Jiahao Du

Orcid: 0000-0002-0085-3690

According to our database1, Jiahao Du authored at least 13 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Generalized Zero-Shot Approach Leveraging Attribute Space for High-Speed Train Bogie.
IEEE Trans. Instrum. Meas., 2024

Lightweight FL: A Low-Cost Federated Learning Framework for Mechanical Fault Diagnosis With Training Optimization and Model Pruning.
IEEE Trans. Instrum. Meas., 2024

2023
Fault Diagnosis of Multi-Railway High-Speed Train Bogies by Improved Federated Learning.
IEEE Trans. Veh. Technol., June, 2023

Application and Research Progress of Transcutaneous Electrical Nerve Stimulation in the Treatment of Pain.
Proceedings of the 16th International Convention on Rehabilitation Engineering and Assistive Technology, 2023

Inpainting of Remote Sensing Sea Surface Temperature image with Multi-scale Physical Constraints.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Federated Transfer Learning for Fault Diagnosis of High-speed Train Bogie With Data Security and Training Optimization.
Proceedings of the CAA Symposium on Fault Detection, 2023

2022
Precise Diagnosis of Unknown Fault of High-Speed Train Bogie Using Novel FBM-Net.
IEEE Trans. Instrum. Meas., 2022

A clustered blueprint separable convolutional neural network with high precision for high-speed train bogie fault diagnosis.
Neurocomputing, 2022

A generative adversarial network with joint multistream architecture and spectral compensation for pansharpening.
Appl. Soft Comput., 2022

2020
Design and Implementation of an Intelligent Analgesic Bracelet Based on Wrist-ankle Acupuncture.
IEEE Trans. Biomed. Circuits Syst., 2020

An Enhanced Scale Robust Network for Crowd Counting.
IEEE Access, 2020

2019
基于多尺度层级LSTM网络的时间序列预测分析 (Time Series Analysis Based on MSH-LSTM).
计算机科学, 2019

Crowd Counting via Conditional Generative Adversarial Networks.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019


  Loading...