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检索条件"机构=CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology"
923 条 记 录,以下是351-360 订阅
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Beyond precision: A study on recall of initial retrieval with neural representations
arXiv
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arXiv 2018年
作者: Xiao, Yan Guo, Jiafeng Fan, Yixing Lan, Yanyan Xu, Jun Cheng, Xueqi University of Chinese Academy of Sciences Beijing China CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China
Vocabulary mismatch is a central problem in information retrieval (IR), i.e., the relevant documents may not contain the same (symbolic) terms of the query. Recently, neural representations have shown great success in... 详细信息
来源: 评论
Cyber security monitoring and data analysis at IHEP
Cyber security monitoring and data analysis at IHEP
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2019 International Symposium on Grids and Clouds, ISGC 2019
作者: Yan, Tian Hu, Hao An, Dehai Qi, Fazhi Jiang, Chen Computing Center Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China Key Laboratory of Network Assessment Technology CAS Institute of Information Engineering Chinese Academy of Sciences Beijing100093 China Inc. Beijing100085 China
Recently, cyber security threats becomes a noticeable challenge for academic institutes. In this paper, we present the security risk control model and the cyber security detection and monitoring system designed and de... 详细信息
来源: 评论
Combat data shift in few-shot learning with knowledge graph
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Frontiers of Computer science 2023年 第1期17卷 101-111页
作者: Yongchun ZHU Fuzhen ZHUANG Xiangliang ZHANG Zhiyuan QI Zhiping SHI Juan CAO Qing HE Key Lab of Intelligent Information Processing of Chinese Academy of Sciences(CAS) Institute of Computing TechnologyCASBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China Institute of Artificial Intelligence Beihang UniversityBeijing 100191China Xiamen Institute of Data Intelligence Xiamen 361021China Computer Science and Engineering University of Notre DameIN 46556USA University of California San Diego La JollaCA 92093USA College of Information Engineering&Academy for Multidisciplinary Studies Capital Normal UniversityBeijing 100089China
Many few-shot learning approaches have been designed under the meta-learning framework, which learns from a variety of learning tasks and generalizes to new tasks. These meta-learning approaches achieve the expected p... 详细信息
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Class-Incremental Few-Shot Event Detection
arXiv
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arXiv 2024年
作者: Zhao, Kailin Jin, Xiaolong Bai, Long Guo, Jiafeng Cheng, Xueqi Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences China School of Computer Science and Technology University of Chinese Academy of Sciences China
Event detection is one of the fundamental tasks in information extraction and knowledge graph. However, a realistic event detection system often needs to deal with new event classes constantly. These new classes usual... 详细信息
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Selective Temporal Knowledge Graph Reasoning
arXiv
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arXiv 2024年
作者: Hou, Zhongni Jin, Xiaolong Li, Zixuan Bai, Long Guo, Jiafeng Cheng, Xueqi School of Computer Science and Technology University of Chinese Academy of Sciences China Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences China
Temporal Knowledge Graph (TKG), which characterizes temporally evolving facts in the form of (subject, relation, object, timestamp), has attracted much attention recently. TKG reasoning aims to predict future facts ba... 详细信息
来源: 评论
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification
arXiv
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arXiv 2023年
作者: Zhang, Hengran Zhang, Ruqing Guo, Jiafeng de Rijke, Maarten Fan, Yixing Cheng, Xueqi School of Computer Science and Technology University of Chinese Academy of Sciences China CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences China University of Amsterdam Netherlands The University of Amsterdam Netherlands
Retrieval-enhanced methods have become a primary approach in fact verification (FV);it requires reasoning over multiple retrieved pieces of evidence to verify the integrity of a claim. To retrieve evidence, existing w... 详细信息
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MVAM: Multi-View Attention Method for Fine-grained Image-Text Matching
arXiv
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arXiv 2024年
作者: Cui, Wanqing Cheng, Rui Guo, Jiafeng Cheng, Xueqi CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Alibaba Group Beijing China
Existing two-stream models, such as CLIP, encode images and text through independent representations, showing good performance while ensuring retrieval speed, have attracted attention from industry and academia. Howev... 详细信息
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Few-shot Link Prediction on Hyper-relational Facts
arXiv
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arXiv 2023年
作者: Wei, Jiyao Guan, Saiping Jin, Xiaolong Guo, Jiafeng Cheng, Xueqi School of Computer Science and Technology University of Chinese Academy of Sciences China Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences China
Hyper-relational facts, which consist of a primary triple (head entity, relation, tail entity) and auxiliary attribute-value pairs, are widely present in real-world Knowledge Graphs (KGs). Link Prediction on Hyper-rel... 详细信息
来源: 评论
Generating Personalized Imputations for Patient Health Status Prediction in Electronic Health Records
Generating Personalized Imputations for Patient Health Statu...
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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
作者: Liu, Yang Zhang, Weiyu Si, Jiasheng Li, Zhao Peng, Xueping Lu, Wenpeng Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan China Evay Info Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Jinan China University of Technology Sydney Australian Artificial Intelligence Institute Sydney Australia
Electronic health records (EHRs) play a crucial role in the development of personalized treatment plans for patients. However, EHRs are often highly incomplete, posing significant challenges for predictive modeling. W... 详细信息
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Provably Robust Node Classification via Low-Pass Message Passing
Provably Robust Node Classification via Low-Pass Message Pas...
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IEEE International Conference on data Mining (ICDM)
作者: Yiwei Wang Shenghua Liu Minji Yoon Hemank Lamba Wei Wang Christos Faloutsos Bryan Hooi School of Computing National University of Singapore Singapore Institute of Computing Technology Chinese Academy of Sciences China CAS Key Laboratory of Network Data Science & Technology CAS and University of Chinese Academy of Sciences Beijing China Carnegie Mellon University United States
Graph Convolutional networks (GCNs) have achieved state-of-the-art performance on node classification. However, recent works have shown that GCNs are vulnerable to adversarial attacks, such as additions or deletions o... 详细信息
来源: 评论