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检索条件"机构=A Key Laboratory of Symbolic Computation and Knowledge Engineering"
1223 条 记 录,以下是1051-1060 订阅
排序:
Integrity maintenance of continually changed OWL ontology
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Journal of computational Information Systems 2012年 第7期8卷 2931-2939页
作者: Cui, Xianji Ouyang, Dantong Ye, Yuxin Wang, Haiyan College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Computation and Knowledge Engineering Ministry of Education Changchun 130012 China National Engineering Research Center of Geophysics Exploration Instruments Changchun 130061 China
OWL Ontologies may change continually to meet user's dynamic request and it may damage the integrity of the ontology. Thus, it is in urgent to propose an effective strategy to maintain the integrity of the continu... 详细信息
来源: 评论
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection
arXiv
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arXiv 2022年
作者: Yang, Zhiwei Ma, Jing Chen, Hechang Lin, Hongzhan Luo, Ziyang Chang, Yi College of Computer Science and Technology Jilin University Changchun China Department of Computer Science Hong Kong Baptist University Hong Kong School of Artificial Intelligence Jilin University China International Center of Future Science Jilin University China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education China
Existing fake news detection methods aim to classify a piece of news as true or false and provide veracity explanations, achieving remarkable performances. However, they often tailor automated solutions on manual fact... 详细信息
来源: 评论
Interference-Aware Opportunistic Job Placement for Shared Distributed Deep Learning Clusters
SSRN
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SSRN 2023年
作者: Li, Hongliang Zhao, Hairui Sun, Ting Li, Xiang Xu, Haixiao Li, Keqin College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering The Ministry of Education Changchun China High Performance Computing Center Jilin University Changchun China Department of Computer Science State University of New York New PaltzNY12561 United States
Distributed deep learning frameworks facilitate large deep learning workloads. These frameworks support sharing one GPU device among multiple jobs to improve resource utilization. Modern deep learning training jobs co... 详细信息
来源: 评论
Dual UAV Cluster-Assisted Maritime Physical Layer Secure Communications via Collaborative Beamforming
arXiv
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arXiv 2024年
作者: Huang, Jiawei Wang, Aimin Sun, Geng Li, Jiahui Wang, Jiacheng Du, Hongyang Niyato, Dusit 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 College of Computing and Data Science Nanyang Technological University Singapore639798 Singapore Department of Electrical and Electronic Engineering Hong Kong University 999077 Hong Kong
Unmanned aerial vehicles (UAVs) can be utilized as relay platforms to assist maritime wireless communications. However, complex channels and multipath effects at sea can adversely affect the quality of UAV transmitted... 详细信息
来源: 评论
Pathological brain detection based on online sequential extreme learning machine
Pathological brain detection based on online sequential extr...
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IEEE International Conference on Progress in Informatics and Computing (PIC)
作者: Siyuan Lu Hainan Wang Xueyan Wu Shuihua Wang School of Computer Science and Technology Nanjing Normal University Nanjing Jiangsu China State Key Lab of CAD & CG Zhejiang University Hangzhou Zhejiang China Key laboratory of symbolic computation and knowledge engineering of ministry of education Jilin University Changchun Jilin China Key Laboratory of Statistical information technology and data mining State Statistics Bureau Chengdu Sichuan China Department of Electrical Engineering CUNY New York NY USA
Magnetic resonance imaging (MRI) is a kind of imaging modality, which offers clearer images of soft tissues than computed tomography (CT). It is especially suitable for brain disease detection. It is beneficial to det... 详细信息
来源: 评论
Convergence-Aware Optimal Checkpointing for Exploratory Deep Learning Training Jobs
SSRN
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SSRN 2024年
作者: Li, Hongliang Wang, Zichen Zhao, Hairui Zhang, Meng Li, Xiang Xu, Haixiao College of Computer Science and Technology Jilin University Qianjin street 2699 Jilin Changchun130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering The Ministry of Education Qianjin street 2699 Jilin Changchun130012 China High Performance Computing Center Qianjin street 2699 Jilin Changchun130012 China
Training Deep Learning (DL) models are becoming more time-consuming, thus interruptions to the training processes are inevitable. Existing fault-tolerant work adopted checkpoint/recovery mechanism from traditional HPC... 详细信息
来源: 评论
TemporalPaD: a reinforcement-learning framework for temporal feature representation and dimension reduction
arXiv
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arXiv 2024年
作者: Mu, Xuechen Huang, Zhenyu Li, Kewei Zhang, Haotian Wang, Xiuli Fan, Yusi Zhang, Kai Zhou, Fengfeng Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Jilin Changchun130012 China School of Mathematics Jilin University Jilin Changchun130012 China College of computer Science and Technology Jilin University Jilin Changchun130012 China School of Biology and Engineering Guizhou Medical University Guizhou Guiyang550025 China
Recent advancements in feature representation and dimension reduction have highlighted their crucial role in enhancing the efficacy of predictive modeling. This work introduces TemporalPaD, a novel end-to-end deep lea... 详细信息
来源: 评论
Describing the semantic relation of the deep web query interfaces using ontology extended LAV
Journal of Software
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Journal of Software 2010年 第1期5卷 89-98页
作者: Liang, Hao Zuo, Wan-Li Ren, Fei Department of Computer Science and Technology Jilin University Jilin Changchun China Department of Information Changchun Taxation College Jilin Changchun China Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Changchun China
The key element in a Deep Web information fusion system is the data source modeling problem, which is the determinant technical factor of the whole system. The query interfaces provided by the Deep Web are the clues t... 详细信息
来源: 评论
Mining data records based on ontology evolution for deep web
Mining data records based on ontology evolution for deep web
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International Conference on Computer engineering and Technology, ICCET
作者: Wen Zhang Kerui Chen Fan Zhang College of Information Engineering Zhongzhou University Zhengzhou China College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education Changchun China
Currently, the research for the extraction of information in deep web is pretty active. Although many researchers already adopted ontology in the data extraction, many problems still exist. This paper proposed an onto... 详细信息
来源: 评论
GEOM-GCN: Geometric graph convolutional networks
arXiv
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arXiv 2020年
作者: Pei, Hongbin Wei, Bingzhe Chang, Kevin Chen-Chuan Lei, Yu Yang, Bo College of Computer Science and Technology Jilin University China Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign United States Department of Computer Science University of Illinois at Urbana-Champaign United States Department of Computing Hong Kong Polytechnic University Hong Kong Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education China
Message-passing neural networks (MPNNs) have been successfully applied to representation learning on graphs in a variety of real-world applications. However, two fundamental weaknesses of MPNNs' aggregators limit ... 详细信息
来源: 评论