Xin Wang

Orcid: 0000-0003-2386-5405

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


According to our database1, Xin Wang authored at least 30 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
From Spatial to Frequency Domain: A Pure Frequency Domain FDNet Model for the Classification of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024

CF-GCN: Graph Convolutional Network for Change Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024

AFPF-Net: Adjacent-Level Feature Progressive Fusion Full Convolutional Network for Remote Sensing Change Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A Boundary Guided Cross Fusion Approach for Remote Sensing Image Segmentation.
IEEE Geosci. Remote. Sens. Lett., 2024

Frequency and spatial based multi-layer context network (FSCNet) for remote sensing scene classification.
Int. J. Appl. Earth Obs. Geoinformation, 2024

A Multi-Scale Additive Enhanced Network for Remote Sensing Scene Classification.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Building Change Detection Based on Fully Convolutional Network in High-Resolution Remote Sensing Images.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023
PHCU-Net: A parallel hierarchical cascade U-Net for skin lesion segmentation.
Biomed. Signal Process. Control., September, 2023

BFRNet: Bidimensional Feature Representation Network for Remote Sensing Images Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
A CBAM Based Multiscale Transformer Fusion Approach for Remote Sensing Image Change Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

A ViT-Based Multiscale Feature Fusion Approach for Remote Sensing Image Segmentation.
IEEE Geosci. Remote. Sens. Lett., 2022

A COVID-19 CXR image recognition method based on MSA-DDCovidNet.
IET Image Process., 2022

Detecting COVID-19 patients via MLES-Net deep learning models from X-Ray images.
BMC Medical Imaging, 2022

2021
JCOGIN: a programming framework for particle transport on combinatorial geometry.
J. Supercomput., 2021

Detecting COVID-19 Patients in X-Ray Images Based on MAI-Nets.
Int. J. Comput. Intell. Syst., 2021

Using CFW-Net Deep Learning Models for X-Ray Images to Detect COVID-19 Patients.
Int. J. Comput. Intell. Syst., 2021

Detecting COVID-19 in Chest X-Ray Images via MCFF-Net.
Comput. Intell. Neurosci., 2021

Medical Image Classification Based on Information Interaction Perception Mechanism.
Comput. Intell. Neurosci., 2021

D2-CovidNet: A Deep Learning Model for COVID-19 Detection in Chest X-Ray Images.
Comput. Intell. Neurosci., 2021

COVID-19 Patients Detection in Chest X-ray Images via MCFF-Net.
Proceedings of the 13th International Conference on Advanced Computational Intelligence, 2021

2020
A Novel Image Classification Approach via Dense-MobileNet Models.
Mob. Inf. Syst., 2020

Woodland Labeling in Chenzhou, China, via Deep Learning Approach.
Int. J. Comput. Intell. Syst., 2020

High-Resolution Radar Target Recognition via Inception-Based VGG (IVGG) Networks.
Comput. Intell. Neurosci., 2020

Image Target Recognition via Mixed Feature-Based Joint Sparse Representation.
Comput. Intell. Neurosci., 2020

A New Image Classification Approach via Improved MobileNet Models with Local Receptive Field Expansion in Shallow Layers.
Comput. Intell. Neurosci., 2020

An improved deep learning approach and its applications on colonic polyp images detection.
BMC Medical Imaging, 2020

2019
An Advanced Deep Residual Dense Network (DRDN) Approach for Image Super-Resolution.
Int. J. Comput. Intell. Syst., 2019

Image Object Recognition via Deep Feature-Based Adaptive Joint Sparse Representation.
Comput. Intell. Neurosci., 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).
计算机科学, 2018

2016
On orbit satellite fuel consumption optimization with Analytic Hierarchy Process method.
Proceedings of the 22nd International Conference on Automation and Computing, 2016


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