Zhenzhou Wu

Orcid: 0009-0009-2721-0183

According to our database1, Zhenzhou Wu authored at least 18 papers between 2013 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation.
IEEE Trans. Medical Imaging, December, 2023

Study on QoS Routing Optimization Algorithms for Smart Ocean Networks.
IEEE Access, 2023

Fast Reroute Algorithms for Satellite Network With Segment Routing.
IEEE Access, 2023

Toward an Efficient and Dynamic Allocation of Radio Access Network Slicing Resources for 5G Era.
IEEE Access, 2023

2021
Brain Age Estimation From MRI Using Cascade Networks With Ranking Loss.
IEEE Trans. Medical Imaging, 2021

2020
Primary Categorizing and Masking Cerebral Small Vessel Disease Based on "Deep Learning System".
Frontiers Neuroinformatics, 2020

Adversarial Data Encryption.
CoRR, 2020

2018
AIRNet: Self-Supervised Affine Registration for 3D Medical Images using Neural Networks.
CoRR, 2018

2017
An active contour model based on local fitted images for image segmentation.
Inf. Sci., 2017

Character-Based Text Classification using Top Down Semantic Model for Sentence Representation.
CoRR, 2017

HiNet: Hierarchical Classification with Neural Network.
CoRR, 2017

From character to document representation with global context awareness.
Proceedings of the 3rd International Conference on Communication and Information Processing, 2017

2016
Multi-Modal Hybrid Deep Neural Network for Speech Enhancement.
CoRR, 2016

Automatic Segmentation of Left Ventricular Myocardium by Deep Convolutional and De-convolutional Neural Networks.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015
Deep Denoising Auto-encoder for Statistical Speech Synthesis.
CoRR, 2015

Neural Modeling of Buying Behaviour for E-Commerce from Clicking Patterns.
Proceedings of the 2015 International ACM Recommender Systems Challenge, 2015

Investigation of parametric rectified linear units for noise robust speech recognition.
Proceedings of the INTERSPEECH 2015, 2015

2013


  Loading...