Fubao Zhu

According to our database1, Fubao Zhu authored at least 28 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
EEG spatial projection and an improved 3D CNN with channel spatiotemporal joint attention mechanism for emotion recognition.
Signal Image Video Process., December, 2024

VMD based wavelet hybrid denoising and improved FBCCA algorithm: a new technique for wearable SSVEP recognition.
Signal Image Video Process., September, 2024

MFC-RMA (Matrix Factorization and Constraints- Role Mining Algorithm): An Optimized Role Mining Algorithm.
Symmetry, August, 2024

Dilated Deep MPFormer Network for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2024

Model-level attention and batch-instance style normalization for federated learning on medical image segmentation.
Inf. Fusion, 2024

Imbalanced complemented subspace representation with adaptive weight learning.
Expert Syst. Appl., 2024

MsMorph: An Unsupervised pyramid learning network for brain image registration.
CoRR, 2024

Vision Transformer-based Multimodal Feature Fusion Network for Lymphoma Segmentation on PET/CT Images.
CoRR, 2024

2023
Imbalanced least squares regression with adaptive weight learning.
Inf. Sci., November, 2023

A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images.
Comput. Biol. Medicine, June, 2023

MDR-Net: Multiscale dense residual networks for liver image segmentation.
IET Image Process., 2023

A Robust Deep Learning Method with Uncertainty Estimation for the Pathological Classification of Renal Cell Carcinoma based on CT Images.
CoRR, 2023

MLA-BIN: Model-level Attention and Batch-instance Style Normalization for Domain Generalization of Federated Learning on Medical Image Segmentation.
CoRR, 2023

A novel method using machine learning to integrate features from lung and epicardial adipose tissue for detecting the severity of COVID-19 infection.
CoRR, 2023

2022
A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images.
CoRR, 2022

2021
Automatic Identification of the End-Diastolic and End-Systolic Cardiac Frames from Invasive Coronary Angiography Videos.
CoRR, 2021

A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images.
CoRR, 2021

2020
Machine Learning for the Preliminary Diagnosis of Dementia.
Sci. Program., 2020

Cognition-Driven Traffic Simulation for Unstructured Road Networks.
J. Comput. Sci. Technol., 2020

2018
Shadow traffic: A unified model for abnormal traffic behavior simulation.
Comput. Graph., 2018

2014
Towards effective GML data management: framework and prototype.
Int. J. Data Min. Model. Manag., 2014

2011
Storing GML Documents: A Model-Mapping Based Approach.
Proceedings of the Database Systems for Adanced Applications, 2011

2010
Towards Spatial Information Services in LBS: A GML-Based Approach.
Proceedings of the 2010 International Conference on Machine Vision and Human-machine Interface, 2010

LRIR: A hybrid semantic Web services matching approach.
Proceedings of the 3rd International Conference on Information Sciences and Interaction Sciences (ICIS 2010), 2010

2007
Improved Schemes for Node Clustering in Decentralized Peer-to-Peer Networks.
Proceedings of the Third International IEEE Conference on Signal-Image Technologies and Internet-Based System, 2007

Constraints-preserving GML storage in object-relational databases.
Proceedings of the 15th ACM International Symposium on Geographic Information Systems, 2007

2006
Storing and querying GML in object-relational databases.
Proceedings of the 14th ACM International Symposium on Geographic Information Systems, 2006

2005
An Automatic Negotiation Method Based on CBR and Agent Reasoning.
Proceedings of the Fifth International Conference on Computer and Information Technology (CIT 2005), 2005


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