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Online biomedical named entities recognition by data and knowledge-driven model 期刊论文
Artificial Intelligence In Medicine, 2024, 卷号: 150, 页码: 102813
作者:  Lulu Cao;  Chaochen Wu;  Guan Luo;  Chao Guo;  Anni Zheng
Adobe PDF(879Kb)  |  收藏  |  浏览/下载：19/9  |  提交时间：2024/06/05
Biomedical named entity recognition  Neural network  Pre-training  Knowledge representation  Online text  
Tri-relational multi-faceted graph neural networks for automatic question tagging 期刊论文
Neurocomputing, 2024, 卷号: 576, 页码: 127250
作者:  Nuojia Xu;  Jun Hu;  Quan Fang;  Dizhan Xue;  Yongxi Li;  Shengsheng Qian
Adobe PDF(2105Kb)  |  收藏  |  浏览/下载：44/20  |  提交时间：2024/06/04
Graph Neural Networks  Community Question Answering  Question Tagging  
Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression 期刊论文
ACM Transactions on Asian and Low-Resource Language Information Processing, 2024, 卷号: 23, 期号: 2, 页码: 1-19
作者:  Zhao Yang;  Yuanzhe Zhang;  Dianbo Sui;  Yiming Ju;  Jun Zhao;  Kang Liu
Adobe PDF(1250Kb)  |  收藏  |  浏览/下载：54/20  |  提交时间：2024/05/30
Explanation  knowledge distillation  model compression  
Robustly uncovering the heterogeneity of neurodegenerative disease by using data-driven subtyping in neuroimaging: A review 期刊论文
Brain research, 2024, 卷号: 1823, 页码: 13
作者:  Chen, Pindong;  Zhang, Shirui;  Zhao, Kun;  Kang, Xiaopeng;  Rittman, Timothy;  Liu, Yong
Adobe PDF(1130Kb)  |  收藏  |  浏览/下载：103/2  |  提交时间：2024/02/22
Neurodegenerative diseases  Alzheimer's disease  Heterogeneity  Subtype  Data-driven  
SpatioTemporal Inference Network for Precipitation Nowcasting With Multimodal Fusion 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 1299-1314
作者:  Jin, Qizhao;  Zhang, Xinbang;  Xiao, Xinyu;  Wang, Ying;  Meng, Gaofeng;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(8766Kb)  |  收藏  |  浏览/下载：87/8  |  提交时间：2024/02/21
Data mining  multimodal knowledge discovery  precipitation nowcasting  
Advancements in Humanoid Robots: A Comprehensive Review and Future Prospects 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 301-328
作者:  Yuchuang Tong;  Haotian Liu;  Zhengtao Zhang
Adobe PDF(7587Kb)  |  收藏  |  浏览/下载：160/44  |  提交时间：2024/01/23
Future trends and challenges  humanoid robots  human-robot interaction  key technologies  potential applications  
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2023, 卷号: 14, 期号: 5, 页码: 21
作者:  Zhu, Yanqiao;  Xu, Yichen;  Yu, Feng;  Liu, Qiang;  Wu, Shu
Adobe PDF(1686Kb)  |  收藏  |  浏览/下载：103/5  |  提交时间：2023/12/21
Cluster-aware self-training and refining  unsupervised learning  graph representation learning  
Attention Weighted Local Descriptors 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 9, 页码: 10632-10649
作者:  Wang, Changwei;  Xu, Rongtao;  Lu, Ke;  Xu, Shibiao;  Meng, Weiliang;  Zhang, Yuyang;  Fan, Bin;  Zhang, Xiaopeng
Adobe PDF(8075Kb)  |  收藏  |  浏览/下载：173/8  |  提交时间：2023/11/17
Local features detection and description  consistent attention mechanism  context augmentation  lightweight local descriptors  knowledge distillation  
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：165/6  |  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：95/6  |  提交时间：2023/11/17
Multiplex network  Graph neural network  Network representation learning  Complementary information  Graph structure learning