Ying Wang

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 24

Top Topics

Convolutional Neural Network

Markov Random Field

Image Classification

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

Tuo Xu, Ying Wang, Jie Li, Yuefan Du
Generative Adversarial Network and Mutual-Point Learning Algorithm for Few-Shot Open-Set Classification of Hyperspectral Images. Remote. Sens. 16 (7) (2024)
Lin Qi, Jie Li, Ying Wang, Yongfa Huang, Xinbo Gao
Spectral-Spatial-Weighted Multiview Collaborative Sparse Unmixing for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 58 (12) (2020)
Xuetong Xue, Ying Wang, Jie Li, Zhicheng Jiao, Ziqi Ren, Xinbo Gao
Progressive Sub-Band Residual-Learning Network for MR Image Super Resolution. IEEE J. Biomed. Health Informatics 24 (2) (2020)
Lin Qi, Jie Li, Ying Wang, Mingyu Lei, Xinbo Gao
Deep spectral convolution network for hyperspectral image unmixing with spectral library. Signal Process. 176 (2020)
Lin Qi, Jie Li, Ying Wang, Xinbo Gao
Urban Observation: Integration of Remote Sensing and Social Media Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (11) (2019)
Yalong Liu, Jie Li, Ying Wang, Miaomiao Wang, Fan Wu, Zhicheng Jiao, Jian Yang, Xingbo Gao
Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants. CoRR (2019)
Lin Qi, Jie Li, Xinbo Gao, Ying Wang, Chongyue Zhao, Yu Zheng
A novel joint dictionary framework for sparse hyperspectral unmixing incorporating spectral library. Neurocomputing 356 (2019)
Yalong Liu, Jie Li, Ying Wang, Miaomiao Wang, Xianjun Li, Zhicheng Jiao, Jian Yang, Xingbo Gao
Refined Segmentation R-CNN: A Two-Stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants. MICCAI (3) (2019)
Chao Pan, Xinbo Gao, Ying Wang, Jie Li
Markov Random Fields Integrating Adaptive Interclass-Pair Penalty and Spectral Similarity for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57 (5) (2019)
Junbo Hao, Ying Wang, Jie Li, Xinbo Gao
Non-Local Compressive Network for Hyperspectral and Multispectral Data Fusion. IGARSS (2019)
Lin Qi, Jie Li, Ying Wang, Xinbo Gao
Region-Based Multiview Sparse Hyperspectral Unmixing Incorporating Spectral Library. IEEE Geosci. Remote. Sens. Lett. 16 (7) (2019)
Zhicheng Jiao, Xinbo Gao, Ying Wang, Jie Li, Haojun Xu
Deep Convolutional Neural Networks for mental load classification based on EEG data. Pattern Recognit. 76 (2018)
Chao Pan, Jie Li, Ying Wang, Xinbo Gao
Collaborative learning for hyperspectral image classification. Neurocomputing 275 (2018)
Chongyue Zhao, Xinbo Gao, William J. Emery, Ying Wang, Jie Li
An Integrated Spatio-Spectral-Temporal Sparse Representation Method for Fusing Remote-Sensing Images With Different Resolutions. IEEE Trans. Geosci. Remote. Sens. 56 (6) (2018)
Zhicheng Jiao, Xinbo Gao, Ying Wang, Jie Li
A parasitic metric learning net for breast mass classification based on mammography. Pattern Recognit. 75 (2018)
Ying Wang, Miao Fan, Jie Li, Zhaobin Cui
Sparse Weighted Constrained Energy Minimization for Accurate Remote Sensing Image Target Detection. Remote. Sens. 9 (11) (2017)
Haoxuan You, Zhicheng Jiao, Haojun Xu, Jie Li, Ying Wang, Xinbo Gao
Restricting Greed in Training of Generative Adversarial Network. CoRR (2017)
Weiping Ni, Xinbo Gao, Ying Wang
Single satellite image dehazing via linear intensity transformation and local property analysis. Neurocomputing 175 (2016)
Dongxiao Yang, Ying Wang, Zhicheng Jiao
Asymmetry Analysis with Sparse Autoencoder in Mammography. ICIMCS (2016)
Chongyue Zhao, Xinbo Gao, Ying Wang, Jie Li
Efficient Multiple-Feature Learning-Based Hyperspectral Image Classification With Limited Training Samples. IEEE Trans. Geosci. Remote. Sens. 54 (7) (2016)
Zhaobin Cui, Ying Wang, Xinbo Gao, Jie Li, Yu Zheng
Multispectral image classification based on improved weighted MRF Bayesian. Neurocomputing 212 (2016)
Yuefan Du, Jie Li, Ying Wang
An Integrated Method for Road Network Centerline Detection from Multispectral Imagery. IDEAL (2016)
Zhicheng Jiao, Xinbo Gao, Ying Wang, Jie Li
A deep feature based framework for breast masses classification. Neurocomputing 197 (2016)
Yuefan Du, Jie Li, Ying Wang
Shadow Detection in High-Resolution Remote Sensing Image Based on Improved K-means. ICIMCS (2016)
Shengxi Li, Ying Wang, Jie Li, Xinbo Gao
Multispectral Image Classification Using a New Bayesian Approach with Weighted Markov Random Fields. CCCV (1) (2015)
Min Pang, Ying Wang, Jie Li
Dirichlet-Based Concentric Circle Feature Transform for Breast Mass Classification. ICTAI (2015)
Lu Liu, Jie Li, Ying Wang
Breast mass detection with kernelized supervised hashing. BMEI (2015)
Ying Wang, Jie Li, Xinbo Gao
Latent feature mining of spatial and marginal characteristics for mammographic mass classification. Neurocomputing 144 (2014)
Xiumei Wang, Xianjun Gao, Jie Li, Ying Wang
An Efficient Semi-supervised Hashing Method Based on Graph Transduction. IScIDE (2013)
Ying Wang, Dacheng Tao, Xinbo Gao, Xuelong Li, Bin Wang
Mammographic mass segmentation: Embedding multiple features in vector-valued level set in ambiguous regions. Pattern Recognit. 44 (9) (2011)
Xinbo Gao, Ying Wang, Xuelong Li, Dacheng Tao
On combining morphological component analysis and concentric morphology model for mammographic mass detection. IEEE Trans. Inf. Technol. Biomed. 14 (2) (2010)
Xinsheng Zhang, Xinbo Gao, Ying Wang
MCs Detection with Combined Image Features and Twin Support Vector Machines. J. Comput. 4 (3) (2009)
Ying Wang, Xinbo Gao, Xuelong Li, Dacheng Tao, Bin Wang
Embedded Geometric Active Contour with Shape Constraint for Mass Segmentation. CAIP (2009)
Ying Wang, Xinbo Gao, Jie Li
A Feature Analysis Approach to Mass Detection in Mammography Based on RF-SVM. ICIP (5) (2007)