Wei Wang

Orcid: 0000-0002-2298-3429

Affiliations:

Changsha University of Science and Technology, School of Computer and Communication Engineering, China

According to our database¹, Wei Wang authored at least 39 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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Bibliography

2024

From Spatial to Frequency Domain: A Pure Frequency Domain FDNet Model for the Classification of Remote Sensing Images.

[BibT_eX]

[DOI]

Wei Wang

Tianle Yang

Xin Wang

IEEE Trans. Geosci. Remote. Sens., 2024

CF-GCN: Graph Convolutional Network for Change Detection in Remote Sensing Images.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

AFPF-Net: Adjacent-Level Feature Progressive Fusion Full Convolutional Network for Remote Sensing Change Detection.

[BibT_eX]

[DOI]

Wei Wang

Luocheng Xia

Xin Wang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A Boundary Guided Cross Fusion Approach for Remote Sensing Image Segmentation.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2024

Frequency and spatial based multi-layer context network (FSCNet) for remote sensing scene classification.

[BibT_eX]

[DOI]

Int. J. Appl. Earth Obs. Geoinformation, 2024

A Multi-Scale Additive Enhanced Network for Remote Sensing Scene Classification.

[BibT_eX]

[DOI]

Wei Wang

Zixin Zhou

Xin Wang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Building Change Detection Based on Fully Convolutional Network in High-Resolution Remote Sensing Images.

[BibT_eX]

[DOI]

Wei Wang

Luocheng Xia

Xin Wang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023

PHCU-Net: A parallel hierarchical cascade U-Net for skin lesion segmentation.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., September, 2023

BFRNet: Bidimensional Feature Representation Network for Remote Sensing Images Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

2022

A CBAM Based Multiscale Transformer Fusion Approach for Remote Sensing Image Change Detection.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

A ViT-Based Multiscale Feature Fusion Approach for Remote Sensing Image Segmentation.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

A COVID-19 CXR image recognition method based on MSA-DDCovidNet.

[BibT_eX]

[DOI]

IET Image Process., 2022

Detecting COVID-19 patients via MLES-Net deep learning models from X-Ray images.

[BibT_eX]

[DOI]

BMC Medical Imaging, 2022

2021

JCOGIN: a programming framework for particle transport on combinatorial geometry.

[BibT_eX]

[DOI]

J. Supercomput., 2021

Detecting COVID-19 Patients in X-Ray Images Based on MAI-Nets.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Syst., 2021

Using CFW-Net Deep Learning Models for X-Ray Images to Detect COVID-19 Patients.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Syst., 2021

Detecting COVID-19 in Chest X-Ray Images via MCFF-Net.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2021

Medical Image Classification Based on Information Interaction Perception Mechanism.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2021

A Multipulse Radar Signal Recognition Approach via HRF-Net Deep Learning Models.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2021

D2-CovidNet: A Deep Learning Model for COVID-19 Detection in Chest X-Ray Images.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2021

COVID-19 Patients Detection in Chest X-ray Images via MCFF-Net.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Advanced Computational Intelligence, 2021

2020

A Novel Image Classification Approach via Dense-MobileNet Models.

[BibT_eX]

[DOI]

Mob. Inf. Syst., 2020

Woodland Labeling in Chenzhou, China, via Deep Learning Approach.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Syst., 2020

High-Resolution Radar Target Recognition via Inception-Based VGG (IVGG) Networks.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2020

A SAR Image Target Recognition Approach via Novel SSF-Net Models.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2020

Image Target Recognition via Mixed Feature-Based Joint Sparse Representation.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2020

A New Image Classification Approach via Improved MobileNet Models with Local Receptive Field Expansion in Shallow Layers.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2020

A Radar Signal Recognition Approach via IIF-Net Deep Learning Models.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2020

An improved deep learning approach and its applications on colonic polyp images detection.

[BibT_eX]

[DOI]

BMC Medical Imaging, 2020

Lightweight deep network for traffic sign classification.

[BibT_eX]

[DOI]

Ann. des Télécommunications, 2020

2019

An Advanced Deep Residual Dense Network (DRDN) Approach for Image Super-Resolution.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Syst., 2019

Image Object Recognition via Deep Feature-Based Adaptive Joint Sparse Representation.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2019

A Secure DFT Architecture Protecting Crypto Chips Against Scan-Based Attacks.

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[DOI]

IEEE Access, 2019

A Semantic Segmentation Approach Based on DeepLab Network in High-Resolution Remote Sensing Images.

[BibT_eX]

[DOI]

Proceedings of the Image and Graphics - 10th International Conference, 2019

2018

自适应加权特征字典与联合稀疏相结合的遥感目标检测 (Remote Sensing Targets Detection Based on Adaptive Weighting Feature Dictionaries and Joint Sparse).

[BibT_eX]

[DOI]

Wei Wang

Junwu Chen

Xin Wang

计算机科学, 2018

2017

A direct AC-DC converter integrated with SSHI circuit for piezoelectric energy harvesting.

[BibT_eX]

[DOI]

IEICE Electron. Express, 2017

A novel test data compression approach based on bit reversion.

[BibT_eX]

[DOI]

IEICE Electron. Express, 2017

Reliability evaluation of logic circuits based on transient faults propagation metrics.

[BibT_eX]

[DOI]

IEICE Electron. Express, 2017

2016

On orbit satellite fuel consumption optimization with Analytic Hierarchy Process method.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Automation and Computing, 2016

Wei Wang

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