Man Hu

Orcid: 0000-0003-0350-4071

According to our database1, Man Hu authored at least 12 papers between 2018 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
E-Net: a novel deep learning framework integrating expert knowledge for glaucoma optic disc hemorrhage segmentation.
Multim. Tools Appl., November, 2023

Energy Self-Sufficient Rail Corrugation Identification by a Multistable Piezo-Electro-Magnet Coupled Energy Transducer.
IEEE Trans. Instrum. Meas., 2023

2022
Augment BERT with average pooling layer for Chinese summary generation.
J. Intell. Fuzzy Syst., 2022

AP-BERT: enhanced pre-trained model through average pooling.
Appl. Intell., 2022

Adaptive Aggregation-Transformation Decoupled Graph Convolutional Network for Semi-Supervised Learning.
IEEE Access, 2022

Hybrid Structure Encoding Graph Neural Networks with Attention Mechanism for Link Prediction.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

2021
A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis.
npj Digit. Medicine, 2021

2020
The clothing image classification algorithm based on the improved Xception model.
Int. J. Comput. Sci. Eng., 2020

A Novel Adaptive Weighted Loss Design in Adversarial Learning for Retinal Nerve Fiber Layer Defect Segmentation.
IEEE Access, 2020

Research on animal image classification based on transfer learning.
Proceedings of the EITCE 2020: 4th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, 6 November, 2020, 2020

2019
Shared Feature Learning Based on Prior Information for Glaucoma Diagnosis.
J. Medical Imaging Health Informatics, 2019

2018
Research on Polar Code Construction Algorithms Under Gaussian Channel.
Proceedings of the Tenth International Conference on Ubiquitous and Future Networks, 2018


  Loading...