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检索条件"机构=The Key Laboratory of Data Engineering and Visual Computing"
1551 条 记 录,以下是181-190 订阅
排序:
Exploring Patent Transformation Event: Forecasting Patent Transfer Time  26
Exploring Patent Transformation Event: Forecasting Patent Tr...
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26th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2023
作者: Huo, Jinchen Liu, Weidong Li, Yang Cao, Yan Institute of Scientific and Technical Information of China China College of Computer Science Inner Mongolia University China Natl. Loc. Jt. Eng. Research Center of Intelligent Information Processing Technology for Mongolian China Inner Mongolia Key Laboratory of Social Computing and Data Processing China Inner Mongolia Engineering Laboratory for Big Data Analysis Technology China
As the largest source of technical information around the world, patents are regarded as an essential crystallization and carrier of knowledge and technological innovation. Patent transformation is conducive not only ... 详细信息
来源: 评论
Sequence-to-Sequence Knowledge Graph Completion Based on Gated Attention Unit  29
Sequence-to-Sequence Knowledge Graph Completion Based on Gat...
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29th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2023
作者: Yi, Fengge Wei, Xiumei Liu, Xiaojing Jiang, Xuesong Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan China Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan China State Key Laboratory of High-end Server & Storage Technology Jinan China
We present GauKGT5, a sequence-to-sequence model proposed for knowledge graph completion (KGC). Our research extends the KGT5 model, a recent sequence-to-sequence link prediction (LP) model. GauKGT5 takes advantage of... 详细信息
来源: 评论
Research on patent recommendation method based on graph neural network  26
Research on patent recommendation method based on graph neur...
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26th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2023
作者: Zhang, Enchao Liu, Weidong Liu, Shi Cao, Yan Institute of Scientific and Technical Information of China China College of Computer Science Inner Mongolia University China Natl. Loc. Jt. Eng. Research Center of Intelligent Information Processing Technology for Mongolian China Inner Mongolia Key Laboratory of Social Computing and Data Processing China Inner Mongolia Engineering Laboratory for Big Data Analysis Technology China
Intellectual property transactions have shown a strong growth momentum in recent years, but the patent transaction market has been plagued by the matching degree of consumers and sellers, resulting in frequent problem... 详细信息
来源: 评论
Effective degree of freedom for near-field plane-based XL-MIMO with tri-polarization
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Frontiers of Information Technology & Electronic engineering 2024年 第12期25卷 1723-1731页
作者: Zhe WANG Jiayi ZHANG Wenhui YI Huahua XIAO Dusit NIYATO Bo AI School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China College of Computing and Data Science Nanyang Technological UniversitySingapore 639798Singapore State Key Laboratory of Mobile Network and Mobile Multimedia Technology ZTE CorporationShenzhen 518057China
In this paper we study the effective degree of freedom(EDoF)for extremely large-scale multipleinput multiple-output(XL-MIMO)*** consider two XL-MIMO hardware designs,uniform planar array(UPA)based and continuous apert... 详细信息
来源: 评论
TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering  38
TFGDA: Exploring Topology and Feature Alignment in Semi-supe...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Dan, Jun Liu, Weiming Xie, Chunfeng Yu, Hua Dong, Shunjie Tan, Yanchao Zhejiang University China Queen Mary University of London United Kingdom Dalian University of Technology China Shanghai Jiao Tong University China Fuzhou University China Engineering Research Center of Big Data Intelligence Ministry of Education China Fujian Key Laboratory of Network Computing and Intelligent Information Processing China
Semi-supervised graph domain adaptation, as a branch of graph transfer learning, aims to annotate unlabeled target graph nodes by utilizing transferable knowledge learned from a label-scarce source graph. However, mos...
来源: 评论
Intelligent Fast Cell Association Scheme Based on Deep Q-Learning in Ultra-Dense Cellular Networks
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China Communications 2021年 第2期18卷 259-270页
作者: Jinhua Pan Lusheng Wang Hai Lin Zhiheng Zha Caihong Kai Key Laboratory of Knowledge Engineering with Big Data Ministry of Education.School of Computer Science and Information EngineeringHefei University of TechnologyHefei 230601China Anhui Province Key Laboratory of Industry Safety and Emergency Technology Hefei 230601China Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education.School of Cyber Science and EngineeringWuhan UniversityWuhan 430072China
To support dramatically increased traffic loads,communication networks become *** cell association(CA)schemes are timeconsuming,forcing researchers to seek fast *** paper proposes a deep Q-learning based scheme,whose ... 详细信息
来源: 评论
DASCDC: Dual Attention-based Sparse Common Deep Clustering Method  9
DASCDC: Dual Attention-based Sparse Common Deep Clustering M...
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9th IEEE International Conference on Behavioural and Social computing, BESC 2022
作者: Dong, Yao Shi, Jin Deng, Yahan Dong, Yongfeng Wang, Ziqiu School of Artificial Intelligence Hebei University of Technology Tianjin300401 China Hebei Province Key Laboratory of Big Data Computing Tianjin300401 China Data Driven Industrial Intelligent Hebei Engineering Research Center Tianjin300401 China
Graph convolutional network (GCN) has been successfully applied in deep clustering on the high dimensional dataset, which is usually processed by extracting the feature and structure information. However, it lacks an ... 详细信息
来源: 评论
Joint Sparsification and Quantization for Wireless Federated Learning under Communication Constraints  24
Joint Sparsification and Quantization for Wireless Federated...
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24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023
作者: Su, Junshen Wang, Xijun Chen, Xiang Cheng, Ray-Guang Sun Yat-Sen University School of Electronics and Information Technology Guangzhou China The Chinese University of HongKong Guangdong Provincial Key Laboratory of Big Data Computing Shenzhen China National Taiwan University of Science and Technology Department of Electronic and Computer Engineering Taipei Taiwan
Communication efficiency is one of the key bottlenecks in Federated Learning (FL). Compression techniques, such as sparsification and quantization, are used to reduce communication overhead. However, joint designs of ... 详细信息
来源: 评论
Task-Aware Dynamic Transformer for Efficient Arbitrary-Scale Image Super-Resolution  27
Task-Aware Dynamic Transformer for Efficient Arbitrary-Scale...
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27th European Conference on Artificial Intelligence, ECAI 2024
作者: Xu, Tianyi Zhou, Yijie Hu, Xiaotao Zhang, Kai Zhang, Anran Qiu, Xingye Xu, Jun School of Statistics and Data Science Nankai University Tianjin China College of Computer Science Nankai University Tianjin China School of Intelligence Science and Technology Nanjing University Suzhou China Tencent Data Platform Beijing China Zhejiang University Hangzhou China Systems Engineering Research Institute China State Shipbuilding Corporation Limited Beijing China Guangdong Provincial Key Laboratory of Big Data Computing The Chinese University of Hong Kong Shenzhen China
Arbitrary-scale super-resolution (ASSR) aims to learn a single model for image super-resolution at arbitrary magnifying scales. Existing ASSR networks typically comprise an off-the-shelf scale-agnostic feature extract...
来源: 评论
A Weighted Flat Lattice Transformer-based Knowledge Extraction Architecture for Chinese Named Entity Recognition
A Weighted Flat Lattice Transformer-based Knowledge Extracti...
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International Conference on Computer Supported Cooperative Work in Design
作者: Hengwei Zhang Yuejia Wu Jian-Tao Zhou Inner Mongolia University College of Computer Science Hohhot China Ministry of Education National & Local Joint Engineering Research Center of Intelligent Information Processing Technology for Mongolian Engineering Research Center of Ecological Big Data Hohhot China Inner Mongolia Engineering Laboratory for Cloud Computing and Service Software Hohhot China Inner Mongolia Key Laboratory of Social Computing and Data Processing Hohhot China Inner Mongolia Key Laboratory of Discipline Inspection and Supervision Big Data Hohhot China Inner Mongolia Engineering Laboratory for Big Data Analysis Technology Hohhot China
Named Entity Recognition (NER) is one of the contents of Knowledge Extraction (KE) that transforms data into knowledge representation. However, Chinese NER faces the problem of lacking clear word boundaries that limit... 详细信息
来源: 评论