Ying Wang

52 papers A* 1A 1B 3C 7Journal 28Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Transfer learning from 2D natural images to 4D fMRI brain images via geometric mapping.
Medical Image Anal.
Kai Gao, Lubin Wang, Liang Li, Xiao Chen, Bin Lu, Yu-Wei Wang, Xue-Ying Li, Zi-Han Wang, Hui-Xian Li, Yi-Fan Liao, Li-Ping Cao, Guan-Mao Chen, Jian-Shan Chen, Tao Chen, Tao-Lin Chen, Yan-Rong Chen, Yu-Qi Cheng, Zhao-Song Chu, Shi-Xian Cui, Xi-Long Cui, Zhao-Yu Deng, Qing-Lin Gao, Qi-Yong Gong, Wen-Bin Guo, Can-Can He, Zheng-Jia-Yi Hu, Qian Huang, Xin-Lei Ji, Feng-Nan Jia, Li Kuang, Bao-Juan Li, Feng Li, Tao Li, Xue Li, Tao Lian, Xiao-Yun Liu, Yan-Song Liu, Zhe-Ning Liu, Yi-Cheng Long, Jian-Ping Lu, Jiang Qiu, Xiao-Xiao Shan, Tian-Mei Si, Peng-Feng Sun, Chuan-Yue Wang, Han-Lin Wang, Xiang Wang, Ying Wang, Chen-Nan Wu, Xiao-Ping Wu, Xin-Ran Wu, Yan-Kun Wu, Chun-Ming Xie, Guang-Rong Xie, Peng Xie, Xiu-Feng Xu, Zhen-Peng Xue, Hong Yang, Jian Yang, Hua Yu, Yong-qiang Yu, Min-Lan Yuan, Yong-Gui Yuan, Ai-Xia Zhang, Ke-Rang Zhang, Wei Zhang, Zi-Jing Zhang, Jing-Ping Zhao, Jia-Jia Zhu, Xi-Nian Zuo, Hua-Ning Wang, Chao-Gan Yan, Yufeng Zang, Dewen Hu
2024 J jnl
Generative Adversarial Network and Mutual-Point Learning Algorithm for Few-Shot Open-Set Classification of Hyperspectral Images.
Remote. Sens.
Tuo Xu, Ying Wang, Jie Li, Yuefan Du
2024 — conf
Mitigating Racial Bias in Chest X-Ray Disease Diagnosis Via Disentanglement Learning.
ISBI
Xinwei Lai, Ying Wang, Jie Li, Zhusi Zhong, Xin Yang
2023 C conf
A Dual-Stream Convolutional Feature Fusion Network for Hyperspectral Unmixing.
IGARSS
Haoyue Hua, Jie Li, Ying Wang, Xinbo Gao
2022 J jnl
A local-nonlocal mathematical morphology.
Neurocomputing
Zhonggui Sun, Meiqi Lyu, Jie Li, Ying Wang, Xinbo Gao
2022 B conf
CSTNET: Enhancing Global-To-Local Interactions for Image Captioning.
ICIP
Xin Yang, Ying Wang, Haishun Chen, Jie Li
2022 C conf
Hyperspectral and Multispectral Data Fusion with 1D-Convolution on Spectrum.
IGARSS
Jinchi Xie, Ying Wang, Jie Li
2021 B conf
Captioning Transformer With Scene Graph Guiding.
ICIP
Haishun Chen, Ying Wang, Xin Yang, Jie Li
2021 J jnl
Patch-based co-occurrence filter with fast adaptive kernel.
Signal Process.
Zhonggui Sun, Tingting Liu, Jie Li, Ying Wang, Xinbo Gao
2021 J jnl
Visual relationship detection with region topology structure.
Inf. Sci.
Le Zhang, Ying Wang, Haishun Chen, Jie Li, Zhenxi Zhang
2020 J jnl
Deep spectral convolution network for hyperspectral image unmixing with spectral library.
Signal Process.
Lin Qi, Jie Li, Ying Wang, Mingyu Lei, Xinbo Gao
2020 C conf
Hyperspectral Unmixing via Recurrent Neural Network With Chain Classifier.
IGARSS
Mingyu Lei, Jie Li, Lin Qi, Ying Wang, Xinbo Gao
2020 A conf
LiDAR Iris for Loop-Closure Detection.
IROS
Ying Wang, Zezhou Sun, Cheng-Zhong Xu, Sanjay E. Sarma, Jian Yang, Hui Kong
2020 J jnl
Progressive Sub-Band Residual-Learning Network for MR Image Super Resolution.
IEEE J. Biomed. Health Informatics
Xuetong Xue, Ying Wang, Jie Li, Zhicheng Jiao, Ziqi Ren, Xinbo Gao
2020 C conf
Spatial-Spectral Autoencoder Networks for Hyperspectral Unmixing.
IGARSS
Yongfa Huang, Jie Li, Lin Qi, Ying Wang, Xinbo Gao
2020 J jnl
Spectral-Spatial-Weighted Multiview Collaborative Sparse Unmixing for Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens.
Lin Qi, Jie Li, Ying Wang, Yongfa Huang, Xinbo Gao
2019 J jnl
A novel joint dictionary framework for sparse hyperspectral unmixing incorporating spectral library.
Neurocomputing
Lin Qi, Jie Li, Xinbo Gao, Ying Wang, Chongyue Zhao, Yu Zheng
2019 A* conf
Build your own hybrid thermal/EO camera for autonomous vehicle.
ICRA
Yigong Zhang, Yicheng Gao, Shuo Gu, Yubin Guo, Minghao Liu, Zezhou Sun, Zhixing Hou, Hang Yang, Ying Wang, Jian Yang, Jean Ponce, Hui Kong
2019 — conf
Campus Guide: A Lidar-based Mobile Robot.
ECMR
Minghao Liu, Zhixing Hou, Zezhou Sun, Ning Yin, Hang Yang, Ying Wang, Zhiqiang Chu, Hui Kong
2019 J jnl
LiDAR Iris for Loop-Closure Detection.
CoRR
Ying Wang, Zezhou Sun, Jian Yang, Hui Kong
2019 J jnl
Markov Random Fields Integrating Adaptive Interclass-Pair Penalty and Spectral Similarity for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Chao Pan, Xinbo Gao, Ying Wang, Jie Li
2019 C conf
Non-Local Compressive Network for Hyperspectral and Multispectral Data Fusion.
IGARSS
Junbo Hao, Ying Wang, Jie Li, Xinbo Gao
2019 — conf
Refined Segmentation R-CNN: A Two-Stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants.
MICCAI (3)
Yalong Liu, Jie Li, Ying Wang, Miaomiao Wang, Xianjun Li, Zhicheng Jiao, Jian Yang, Xingbo Gao
2019 J jnl
Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants.
CoRR
Yalong Liu, Jie Li, Ying Wang, Miaomiao Wang, Fan Wu, Zhicheng Jiao, Jian Yang, Xingbo Gao
2019 J jnl
Region-Based Multiview Sparse Hyperspectral Unmixing Incorporating Spectral Library.
IEEE Geosci. Remote. Sens. Lett.
Lin Qi, Jie Li, Ying Wang, Xinbo Gao
2019 J jnl
Urban Observation: Integration of Remote Sensing and Social Media Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Lin Qi, Jie Li, Ying Wang, Xinbo Gao
2018 J jnl
A parasitic metric learning net for breast mass classification based on mammography.
Pattern Recognit.
Zhicheng Jiao, Xinbo Gao, Ying Wang, Jie Li
2018 J jnl
An Integrated Spatio-Spectral-Temporal Sparse Representation Method for Fusing Remote-Sensing Images With Different Resolutions.
IEEE Trans. Geosci. Remote. Sens.
Chongyue Zhao, Xinbo Gao, William J. Emery, Ying Wang, Jie Li
2018 J jnl
Collaborative learning for hyperspectral image classification.
Neurocomputing
Chao Pan, Jie Li, Ying Wang, Xinbo Gao
2018 J jnl
Deep Convolutional Neural Networks for mental load classification based on EEG data.
Pattern Recognit.
Zhicheng Jiao, Xinbo Gao, Ying Wang, Jie Li, Haojun Xu
2018 — conf
Deep Differential Coding for High-Resolution Remote Sensing Scene Classification.
ICIGP
Qiuping Shi, Jie Li, Zhicheng Jiao, Ying Wang
2018 — conf
Visual Odometry for Indoor Mobile Robot by Recognizing Local Manhattan Structures.
ACCV (5)
Zhixing Hou, Yaqing Ding, Ying Wang, Hang Yang, Hui Kong
2017 J jnl
Restricting Greed in Training of Generative Adversarial Network.
CoRR
Haoxuan You, Zhicheng Jiao, Haojun Xu, Jie Li, Ying Wang, Xinbo Gao
2017 J jnl
Sparse Weighted Constrained Energy Minimization for Accurate Remote Sensing Image Target Detection.
Remote. Sens.
Ying Wang, Miao Fan, Jie Li, Zhaobin Cui
2016 J jnl
A deep feature based framework for breast masses classification.
Neurocomputing
Zhicheng Jiao, Xinbo Gao, Ying Wang, Jie Li
2016 C conf
An Integrated Method for Road Network Centerline Detection from Multispectral Imagery.
IDEAL
Yuefan Du, Jie Li, Ying Wang
2016 — conf
Asymmetry Analysis with Sparse Autoencoder in Mammography.
ICIMCS
Dongxiao Yang, Ying Wang, Zhicheng Jiao
2016 J jnl
Efficient Multiple-Feature Learning-Based Hyperspectral Image Classification With Limited Training Samples.
IEEE Trans. Geosci. Remote. Sens.
Chongyue Zhao, Xinbo Gao, Ying Wang, Jie Li
2016 — conf
Multiple-Feature Kernel Hashing for Mass Detection.
ICIMCS
Xin Lv, Ying Wang
2016 J jnl
Multispectral image classification based on improved weighted MRF Bayesian.
Neurocomputing
Zhaobin Cui, Ying Wang, Xinbo Gao, Jie Li, Yu Zheng
2016 — conf
Shadow Detection in High-Resolution Remote Sensing Image Based on Improved K-means.
ICIMCS
Yuefan Du, Jie Li, Ying Wang
2016 J jnl
Single satellite image dehazing via linear intensity transformation and local property analysis.
Neurocomputing
Weiping Ni, Xinbo Gao, Ying Wang
2015 — conf
Breast mass detection with kernelized supervised hashing.
BMEI
Lu Liu, Jie Li, Ying Wang
2015 B conf
Dirichlet-Based Concentric Circle Feature Transform for Breast Mass Classification.
ICTAI
Min Pang, Ying Wang, Jie Li
2015 — conf
Multispectral Image Classification Using a New Bayesian Approach with Weighted Markov Random Fields.
CCCV (1)
Shengxi Li, Ying Wang, Jie Li, Xinbo Gao
2014 J jnl
Latent feature mining of spatial and marginal characteristics for mammographic mass classification.
Neurocomputing
Ying Wang, Jie Li, Xinbo Gao
2013 — conf
An Efficient Semi-supervised Hashing Method Based on Graph Transduction.
IScIDE
Xiumei Wang, Xianjun Gao, Jie Li, Ying Wang
2011 J jnl
Mammographic mass segmentation: Embedding multiple features in vector-valued level set in ambiguous regions.
Pattern Recognit.
Ying Wang, Dacheng Tao, Xinbo Gao, Xuelong Li, Bin Wang
2010 J jnl
On combining morphological component analysis and concentric morphology model for mammographic mass detection.
IEEE Trans. Inf. Technol. Biomed.
Xinbo Gao, Ying Wang, Xuelong Li, Dacheng Tao
2009 C conf
Embedded Geometric Active Contour with Shape Constraint for Mass Segmentation.
CAIP
Ying Wang, Xinbo Gao, Xuelong Li, Dacheng Tao, Bin Wang
2009 J jnl
MCs Detection with Combined Image Features and Twin Support Vector Machines.
J. Comput.
Xinsheng Zhang, Xinbo Gao, Ying Wang
2007 — conf
A Feature Analysis Approach to Mass Detection in Mammography Based on RF-SVM.
ICIP (5)
Ying Wang, Xinbo Gao, Jie Li