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检索条件"机构=Key Laboratory of Knowledge and Data Engineering"
954 条 记 录,以下是531-540 订阅
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Retracted: Measurement and analysis of Chinese journal discriminative capacity
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Journal of Informetrics 2021年 第1期15卷
作者: Baolong Zhang Hao Wang Sanhong Deng Xinning Su School of Information Management Nanjing University Nanjing 210023 China Jiangsu Key Laboratory of Data Engineering and Knowledge Service Nanjing 210023 China
来源: 评论
knowledge graph enhanced neural collaborative recommendation
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Expert Systems with Applications 2021年 164卷 113992-113992页
作者: Sang, Lei Xu, Min Qian, Shengsheng Wu, Xindong Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology) Ministry of Education Hefei 230009 China Faculty of Engineering and Information Technology University of Technology Sydney Sydney 2007 Australia School of Computer Science and Information Engineering Hefei University of Technology Hefei 230009 China Institute of Automation Chinese Academy of Sciences Beijing 100190 China Mininglamp Academy of Sciences Mininglamp Technology Beijing 100084 China
Existing neural collaborative filtering (NCF) recommendation methods suffer from severe sparsity problem. knowledge Graph (KG), which commonly consists of fruitful connected facts about items, presents an unprecedente... 详细信息
来源: 评论
Enabling Efficient Random Access to Hierarchically-Compressed data
Enabling Efficient Random Access to Hierarchically-Compresse...
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International Conference on data engineering
作者: Feng Zhang Jidong Zhai Xipeng Shen Onur Mutlu Xiaoyong Du Key Laboratory of Data Engineering and Knowledge Engineering (MOE) and School of Information Renmin University of China Department of Computer Science and Technology Tsinghua University BNRist Computer Science Department North Carolina State University Department of Computer Science ETH Zürich
Recent studies have shown the promise of direct data processing on hierarchically-compressed text documents. By removing the need for decompressing data, the direct data processing technique brings large savings in bo... 详细信息
来源: 评论
Real-time Semantic Segmentation via Spatial-detail Guided Context Propagation
arXiv
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arXiv 2020年
作者: Hao, Shijie Zhou, Yuan Guo, Yanrong Hong, Richang Cheng, Jun Wang, Meng Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology Ministry of Education School of Computer Science and Information Engineering Hefei University of Technology Hefei230009 China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Chinese University of Hong Kong Hong Kong
Nowadays, vision-based computing tasks play an important role in various real-world applications. However, many vision computing tasks, e.g. semantic segmentation, are usually computationally expensive, posing a chall... 详细信息
来源: 评论
Applications of Game Theory in Vehicular Networks: A Survey
arXiv
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arXiv 2021年
作者: Sun, Zemin Liu, Yanheng Wang, Jian Li, Guofa Anil, Carie Li, Keqiang Guo, Xinyu Sun, Geng Tian, Daxin Cao, Dongpu College of Computer Science and Technology Jilin University Changchun130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China Institute of Human Factors and Ergonomics College of Mechatronics and Control Engineering Shenzhen University Guangdong Shenzhen518060 China School of Computer Science and Engineering VIT-AP Andhra Pradesh Amaravati522237 India College of Engineering Nanjing Agricultural University Nanjing210031 China State Key Laboratory of Automotive Safety and Energy Department of Automotive Engineering Tsinghua University Beijing100084 China Beijing Advanced Innovation Center for Big Data and Brain Computing Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control School of Transportation Science and Engineering Beihang University Beijing100191 China Waterloo Cognitive Autonomous Driving Lab University of Waterloo N2L 3G1 Canada
In the Internet of things (IoT) era, vehicles and other intelligent components in an intelligent transportation system (ITS) are connected, forming vehicular networks (VNs) that provide efficient and safe traffic and ... 详细信息
来源: 评论
Adaptive State Continuity-Based Sparse Inverse Covariance Clustering for Multivariate Time Series
Adaptive State Continuity-Based Sparse Inverse Covariance Cl...
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International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)
作者: Lei Li Wei Li Jianxing Liao Xuegang Hu Ministry of Education Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology) Hefei China
Compared with univariate time series clustering, multivariate time series (MTS) clustering has become a challenging research topic on the data mining of time series. In this paper, a novel model-based approach Adaptiv... 详细信息
来源: 评论
Does ad-context matter on the effectiveness of online advertising?  30
Does ad-context matter on the effectiveness of online advert...
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30th International Conference on Software engineering and knowledge engineering, SEKE 2018
作者: Sun, Caihong Zhang, Meina Zuo, Meiyun Key Laboratory of Data Engineering and Knowledge Engineering School of Information Renmin University of China Beijing China
In this paper, we focus on examining the effects of Ad-context on the click-Through rate (CTR) for the online advertising. Many researches have shown that ad-context congruity is a key factor to CTR, but the features ... 详细信息
来源: 评论
Unsupervised Cross-Lingual Word Embeddings Learning with Adversarial Training
Unsupervised Cross-Lingual Word Embeddings Learning with Adv...
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IEEE International Conference on Big knowledge (ICBK)
作者: Yuling Li Yuhong Zhang Peipei Li Xuegang Hu Key Laboratory of Knowledge Engineering with Big Data(Hefei University of Technology) Hefei University of Technology Hefei China
Recent works have managed to learn cross-lingual word embeddings (CLWEs) in an unsupervised manner. As a prominent unsupervised model, generative adversarial networks (GANs) have been heavily studied for unsupervised ... 详细信息
来源: 评论
RAKA: Co-training of relationships and attributes for cross-lingual knowledge alignment
arXiv
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arXiv 2019年
作者: Chen, Bo Zhang, Jing Tang, Xiaobin Chen, Hong Li, Cuiping Key Laboratory of Data Engineering Knowledge Engineering of Ministry of Education Renmin University of China Information School Renmin University of China
Cross-lingual knowledge alignment suffers from the attribute heterogeneity when leveraging the attributes and also suffers from the conflicts when combing the results inferred from attributes and relationships. This p... 详细信息
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Research on the motivation to contribution and influencing factors of university students——a semi-structured interview based on qualitative research
Research on the motivation to contribution and influencing f...
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第二届先进电子材料、计算机与材料工程国际学术会议(AEMCME 2019)
作者: Yueyao Li Sanhong Deng Yue Zhang School of Information Management Nanjing University Jiangsu Key Laboratory of Data Engineering and Knowledge Service Nanjing University
Due to the lack of theoretical knowledge and practical experience, the university students have many deficiencies in contribution. We conducted semi-structured interviews with 28 undergraduate and postgraduate student...
来源: 评论