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CASIA OpenIR
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SASOD: Saliency-Aware Ship Object Detection in High-Resolution Optical Images 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 15
作者:  Ren, Zhida;  Tang, Yongqiang;  Yang, Yang;  Zhang, Wensheng
Adobe PDF(5807Kb)  |  收藏  |  浏览/下载：19/2  |  提交时间：2024/07/03
ship detection  Saliency detection  high-resolution optical images  remote sensing  Deep learning  Feature extraction  Marine vehicles  Object detection  Remote sensing  Optical sensors  Optical imaging  saliency detection  
Parallel Dual-Branch Fusion Network for Epileptic Seizure Prediction 期刊论文
Computers in Biology and Medicine, 2024, 卷号: 176, 页码: 108565
作者:  Hongcheng, Ma;  Yajing, Wu;  Yongqiang, Tang;  Rui, Chen;  Tao, Xu;  Wensheng, Zhang
Adobe PDF(1680Kb)  |  收藏  |  浏览/下载：49/19  |  提交时间：2024/05/30
Learning the long-tail distribution in latent space for Weighted Link Prediction via conditional Invertible Neural Networks 期刊论文
Knowledge-Based Systems, 2024, 卷号: 294, 期号: 21, 页码: 111714
作者:  Yajing, Wu;  Chenyang, Zhang;  Yongqiang, Tang;  Xuebing, Yang;  Yanting, Yin;  Wensheng Zhang
Adobe PDF(2160Kb)  |  收藏  |  浏览/下载：65/24  |  提交时间：2024/05/30
IDO: Instance dual-optimization for weakly supervised object detection 期刊论文
APPLIED INTELLIGENCE, 2023, 页码: 18
作者:  Ren, Zhida;  Tang, Yongqiang;  Zhang, Wensheng
Adobe PDF(3668Kb)  |  收藏  |  浏览/下载：76/7  |  提交时间：2023/11/17
Deep learning  Weakly supervised learning  Object detection  Multiple instance learning  
Constrained Maximum Cross-Domain Likelihood for Domain Generalization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Lin, Jianxin;  Tang, Yongqiang;  Wang, Junping;  Zhang, Wensheng
Adobe PDF(2518Kb)  |  收藏  |  浏览/下载：167/7  |  提交时间：2023/11/17
Optimization  Feature extraction  Metalearning  Entropy  Training  Hospitals  Task analysis  Distribution shift  domain adaptation  domain generalization  domain-invariant representation  joint distribution alignment  
Meta-path infomax joint structure enhancement for multiplex network representation learning 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 275, 页码: 14
作者:  Yuan, Ruiwen;  Wu, Yajing;  Tang, Yongqiang;  Wang, Junping;  Zhang, Wensheng
Adobe PDF(2083Kb)  |  收藏  |  浏览/下载：97/8  |  提交时间：2023/11/17
Multiplex network  Graph neural network  Network representation learning  Complementary information  Graph structure learning  
Cross-Stream Contrastive Learning for Self-Supervised Skeleton-Based Action Recognition 期刊论文
Image and Vision Computing, 2023, 期号: 135, 页码: 15-26
作者:  Ding Li;  Yongqiang Tang;  Wensheng Zhang
Adobe PDF(2330Kb)  |  收藏  |  浏览/下载：171/48  |  提交时间：2023/06/28
Ship Detection in High-Resolution Optical Remote Sensing Images Aided by Saliency Information 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2022, 期号: 0, 页码: 0
作者:  Zhida, Ren;  Yongqiang, Tang;  Zewen, He;  Lei, Tian;  Yang, Yang;  Wensheng, Zhang
Adobe PDF(3882Kb)  |  收藏  |  浏览/下载：240/43  |  提交时间：2022/04/22
Deep learning  ship detection  saliency detection  high-resolution optical images  remote sensing  
Inductive Spatiotemporal Graph Convolutional Networks for Short-term Quantitative Precipitation Forecasting 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, 2022, 2022, 卷号: 0, 0, 期号: 0, 页码: 0, 0
作者:  Yajing, Wu;  Xuebing, Yang;  Yongqiang, Tang;  Chenyang, Zhang;  Guoping, Zhang;  Wensheng, Zhang
Adobe PDF(10052Kb)  |  收藏  |  浏览/下载：341/81  |  提交时间：2022/04/06
Quantitative precipitation forecasting  graph convolutional networks (GCN)  spatiotemporal model  radar-rain gauge data merging  Quantitative precipitation forecasting  graph convolutional networks (GCN)  spatiotemporal model  radar-rain gauge data merging  
Partial Domain Adaptation by Progressive Sample Learning of Shared Classes 期刊论文
Neural Processing Letters, 2022, 卷号: 0, 期号: 0, 页码: 0
作者:  Lei, Tian;  Yongqiang, Tang;  Wensheng, Zhang
Adobe PDF(912Kb)  |  收藏  |  浏览/下载：226/63  |  提交时间：2022/04/06
Partial domain adaptation  Domain adaptation  Transfer learning  Self-paced learning  Low-dimensional subspace learning