Ying Wang

Affiliations:
  • Xidian University, School of Electronic Engineering, Lab of Video and Image Processing Systems, Xi'an, China (PhD 2010)


According to our database1, Ying Wang authored at least 42 papers between 2007 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
A local-nonlocal mathematical morphology.
Neurocomputing, 2022

CSTNET: Enhancing Global-To-Local Interactions for Image Captioning.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Patch-based co-occurrence filter with fast adaptive kernel.
Signal Process., 2021

Visual relationship detection with region topology structure.
Inf. Sci., 2021

Captioning Transformer With Scene Graph Guiding.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Progressive Sub-Band Residual-Learning Network for MR Image Super Resolution.
IEEE J. Biomed. Health Informatics, 2020

Spectral-Spatial-Weighted Multiview Collaborative Sparse Unmixing for Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2020

Deep spectral convolution network for hyperspectral image unmixing with spectral library.
Signal Process., 2020

Hyperspectral Unmixing via Recurrent Neural Network With Chain Classifier.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Spatial-Spectral Autoencoder Networks for Hyperspectral Unmixing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Markov Random Fields Integrating Adaptive Interclass-Pair Penalty and Spectral Similarity for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2019

Urban Observation: Integration of Remote Sensing and Social Media Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Region-Based Multiview Sparse Hyperspectral Unmixing Incorporating Spectral Library.
IEEE Geosci. Remote. Sens. Lett., 2019

A novel joint dictionary framework for sparse hyperspectral unmixing incorporating spectral library.
Neurocomputing, 2019

Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants.
CoRR, 2019

Refined Segmentation R-CNN: A Two-Stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Non-Local Compressive Network for Hyperspectral and Multispectral Data Fusion.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
An Integrated Spatio-Spectral-Temporal Sparse Representation Method for Fusing Remote-Sensing Images With Different Resolutions.
IEEE Trans. Geosci. Remote. Sens., 2018

Deep Convolutional Neural Networks for mental load classification based on EEG data.
Pattern Recognit., 2018

A parasitic metric learning net for breast mass classification based on mammography.
Pattern Recognit., 2018

Collaborative learning for hyperspectral image classification.
Neurocomputing, 2018

Deep Differential Coding for High-Resolution Remote Sensing Scene Classification.
Proceedings of the 2018 International Conference on Image and Graphics Processing, 2018

2017
Sparse Weighted Constrained Energy Minimization for Accurate Remote Sensing Image Target Detection.
Remote. Sens., 2017

Restricting Greed in Training of Generative Adversarial Network.
CoRR, 2017

2016
Efficient Multiple-Feature Learning-Based Hyperspectral Image Classification With Limited Training Samples.
IEEE Trans. Geosci. Remote. Sens., 2016

Single satellite image dehazing via linear intensity transformation and local property analysis.
Neurocomputing, 2016

A deep feature based framework for breast masses classification.
Neurocomputing, 2016

Multispectral image classification based on improved weighted MRF Bayesian.
Neurocomputing, 2016

An Integrated Method for Road Network Centerline Detection from Multispectral Imagery.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

Asymmetry Analysis with Sparse Autoencoder in Mammography.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2016

Multiple-Feature Kernel Hashing for Mass Detection.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2016

Shadow Detection in High-Resolution Remote Sensing Image Based on Improved K-means.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2016

2015
Dirichlet-Based Concentric Circle Feature Transform for Breast Mass Classification.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Multispectral Image Classification Using a New Bayesian Approach with Weighted Markov Random Fields.
Proceedings of the Computer Vision - CCF Chinese Conference, 2015

Breast mass detection with kernelized supervised hashing.
Proceedings of the 8th International Conference on Biomedical Engineering and Informatics, 2015

2014
Latent feature mining of spatial and marginal characteristics for mammographic mass classification.
Neurocomputing, 2014

2013
An Efficient Semi-supervised Hashing Method Based on Graph Transduction.
Proceedings of the Intelligence Science and Big Data Engineering, 2013

2011
Mammographic mass segmentation: Embedding multiple features in vector-valued level set in ambiguous regions.
Pattern Recognit., 2011

2010
On combining morphological component analysis and concentric morphology model for mammographic mass detection.
IEEE Trans. Inf. Technol. Biomed., 2010

2009
MCs Detection with Combined Image Features and Twin Support Vector Machines.
J. Comput., 2009

Embedded Geometric Active Contour with Shape Constraint for Mass Segmentation.
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

2007
A Feature Analysis Approach to Mass Detection in Mammography Based on RF-SVM.
Proceedings of the International Conference on Image Processing, 2007


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