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Decision-based adversarial attack with frequency mixup 期刊论文
IEEE Trans. Information Forensics and Security (TIFS), 2022, 期号: 17, 页码: 1038-1052
作者:  Xiu-Chuan Li;  Xu-Yao Zhang;  Fei Yin;  Cheng-Lin Liu
Adobe PDF(5863Kb)  |  收藏  |  浏览/下载：203/42  |  提交时间：2022/04/07
Decision-based attack , detection , frequency domain  
A Semi-supervised End-to-end Framework for Transportation Mode Detection by Using GPS-enabled Sensing Devices 期刊论文
IEEE Internet of Things Journal, 2022, 卷号: 9, 期号: 10, 页码: 7842-7852
作者:  Zhishuai Li;  Gang Xiong;  Zebing Wei;  YIsheng Lv;  Noreen Anwar;  Fei-Yue Wang
Adobe PDF(2754Kb)  |  收藏  |  浏览/下载：207/61  |  提交时间：2022/04/08
Transportation mode detection , Semi-supervised learning, Human mobility , GPS trajectory.  
Inductive Spatiotemporal Graph Convolutional Networks for Short-term Quantitative Precipitation Forecasting 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2022, 卷号: 0, 期号: 0, 页码: 0
作者:  Yajing, Wu;  Xuebing, Yang;  Yongqiang, Tang;  Chenyang, Zhang;  Guoping, Zhang;  Wensheng, Zhang
Adobe PDF(10052Kb)  |  收藏  |  浏览/下载：272/65  |  提交时间：2022/04/06
Quantitative precipitation forecasting  graph convolutional networks (GCN)  spatiotemporal model  radar-rain gauge data merging  
Self-supervised graph representation learning via bootstrapping 期刊论文
NEUROCOMPUTING, 2021, 卷号: 456, 页码: 88-96
作者:  Che, Feihu;  Yang, Guohua;  Zhang, Dawei;  Tao, Jianhua;  Liu, Tong
Adobe PDF(1379Kb)  |  收藏  |  浏览/下载：341/57  |  提交时间：2021/11/03
Graph representation learning  Self-supervised  Bootstrapping  Graph neural network  
MRDDANet: A Multiscale Residual Dense Dual Attention Network for SAR Image Denoising 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 页码: 13
作者:  Liu, Shuaiqi;  Lei, Yu;  Zhang, Luyao;  Li, Bing;  Hu, Weiming;  Zhang, Yu-Dong
收藏  |  浏览/下载：183/0  |  提交时间：2022/01/27
Noise reduction  Radar polarimetry  Feature extraction  Speckle  Transforms  Synthetic aperture radar  Image denoising  Dual attention network  feature extraction  multiscale  synthetic aperture radar (SAR) image denoising  
Specific Borrmann classification in advanced gastric cancer by an ensemble multilayer perceptron network: a multicenter research 期刊论文
MEDICAL PHYSICS, 2021, 卷号: 48, 期号: 9, 页码: 5017-5028
作者:  Wang, Siwen;  Dong, Di;  Zhang, Wenjuan;  Hu, Hui;  Li, Hailin;  Zhu, Yongbei;  Zhou, Junlin;  Shan, Xiuhong;  Tian, Jie
Adobe PDF(2265Kb)  |  收藏  |  浏览/下载：219/33  |  提交时间：2021/11/02
advanced gastric cancer  Borrmann classification  ensemble learning  multilayer perceptron networks  radiomics  
A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 7, 页码: 2353-2362
作者:  Wang, Siwen;  Dong, Di;  Li, Liang;  Li, Hailin;  Bai, Yan;  Hu, Yahua;  Huang, Yuanyi;  Yu, Xiangrong;  Liu, Sibin;  Qiu, Xiaoming;  Lu, Ligong;  Wang, Meiyun;  Zha, Yunfei;  Tian, Jie
Adobe PDF(3142Kb)  |  收藏  |  浏览/下载：243/52  |  提交时间：2021/11/02
COVID-19  deep learning  radiomics  prognosis  computed tomography  
CSU-Net: A Context Spatial U-Net for Accurate Blood Vessel Segmentation in Fundus Images 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 4, 页码: 1128-1138
作者:  Bo,Wang;  Shengpei,Wang;  Shuang,Qiu;  Wei,Wei;  Haibao,Wang;  Huiguang,He
Adobe PDF(6892Kb)  |  收藏  |  浏览/下载：256/40  |  提交时间：2021/06/21
Fundus images  blood vessel segmentation  CSU-Net  feature fusion  structure loss  
A3GAN: An Attribute-Aware Attentive Generative Adversarial Network for Face Aging 期刊论文
IEEE Transactions on Information Forensics and Security, 2021, 卷号: 16, 页码: 2776-2790
作者:  Yunfan Liu;  Qi Li;  Zhenan Sun;  Tieniu Tan
Adobe PDF(4213Kb)  |  收藏  |  浏览/下载：65/14  |  提交时间：2023/06/20
A hybrid convolutional architecture for accurate image manipulation localization at the pixel-level 期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 期号: 80, 页码: 23377–23392
作者:  Zhang, Yixuan;  Zhang, Jiguang;  Xu, Shibiao
Adobe PDF(1369Kb)  |  收藏  |  浏览/下载：263/57  |  提交时间：2021/03/08
Manipulation localization  Top-down detection  Bottom-up segmentation  DenseCRFs