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检索条件"机构=Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education"
1656 条 记 录,以下是41-50 订阅
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An Optimization Algorithm for Service Composition Based on an Improved FOA
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Tsinghua Science and Technology 2015年 第1期20卷 90-99页
作者: Yiwen Zhang Guangming Cui Yan Wang Xing Guo Shu Zhao the School of Computer Science and Technology Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University
Large-scale service composition has become an important research topic in Service-Oriented computing(SOC). Quality of Service(Qo S) has been mostly applied to represent nonfunctional properties of web services and... 详细信息
来源: 评论
MR-IDPSO: A Novel Algorithm for Large-Scale Dynamic Service Composition
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Tsinghua Science and Technology 2015年 第6期20卷 602-612页
作者: Yanping Zhang Zihui Jing Yiwen Zhang School of Computer Science and Technology Key Laboratory of Intelligent Computing and Signal ProcessingMinistry of EducationAnhui University
In the era of big data, data intensive applications have posed new challenges to the field of service composition. How to select the optimal composited service from thousands of functionally equivalent services but di... 详细信息
来源: 评论
Uncertainty-aware Superpoint Graph Transformer for Weakly Supervised 3D Semantic Segmentation
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IEEE Transactions on Fuzzy Systems 2025年
作者: Fan, Yan Wang, Yu Zhu, Pengfei Hui, Le Xie, Jin Hu, Qinghua Tianjin University College of Intelligence and Computing Tianjin300350 China Ministry of Education of the People's Republic of China Engineering Research Center of City Intelligence and Digital Governance China Haihe Laboratory of Itai Tianjin China Northwestern Polytechnical University School of Electronics and Information Shaanxi Key Laboratory of Information Acquisition and Processing China Nanjing University of Science and Technology Pca Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education China Nanjing University State Key Laboratory for Novel Software Technology Nanjing China
Weakly supervised 3D semantic segmentation has successfully mitigated the labor-intensive and time-consuming task of annotating 3D point clouds. However, reliably utilizing the minimal point-wise annotations for unlab... 详细信息
来源: 评论
D-FGNAE: Decentralized Federated Graph Normalized AutoEncoder  19th
D-FGNAE: Decentralized Federated Graph Normalized AutoEncode...
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19th CCF Conference on Computer Supported Cooperative Work and Social computing, ChineseCSCW 2024
作者: Liang, Yuting Cai, Weixin Guo, Kun College of Computer and Data Science Fuzhou University Fuzhou350108 China Engineering Research Center of Big Data Intelligence Ministry of Education Fuzhou350108 China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou350108 China
Graphs widely exist in real-world, and Graph Neural Networks (GNNs) have exhibited exceptional efficacy in graph learning in diverse fields. With the strengthening of data privacy protection worldwide in recent years,... 详细信息
来源: 评论
Community-Aware Heterogeneous Graph Contrastive Learning  19th
Community-Aware Heterogeneous Graph Contrastive Learning
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19th CCF Conference on Computer Supported Cooperative Work and Social computing, ChineseCSCW 2024
作者: Li, Xinying Wu, Ling Guo, Kun College of Computer and Data Science Fuzhou University Fuzhou350108 China Engineering Research Center of Big Data Intelligence Ministry of Education Fuzhou350108 China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou350108 China
Recently, heterogeneous graph contrastive learning, which can mine supervision signals from the data, has attracted widespread attention. However, most existing methods employ random data augmentation strategies to co... 详细信息
来源: 评论
Community Evolution Tracking Based on High-Order Neighbor Consideration and Node Change Identification  19th
Community Evolution Tracking Based on High-Order Neighbor C...
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19th CCF Conference on Computer Supported Cooperative Work and Social computing, ChineseCSCW 2024
作者: Zhang, Yunan Wang, Chaohui Wu, Ling Guo, Kun College of Computer and Data Science Fuzhou University Fuzhou350108 China Engineering Research Center of Big Data Intelligence Ministry of Education Fuzhou350108 China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou350108 China
Community evolution tracking is widely used in complex network analysis, which analyzes and identifies how communities evolve over time based on dynamic community detection. However, the current incremental dynamic co... 详细信息
来源: 评论
UGCM-LU: A Unified Stream and Batch Graph computing Model with Local Update for Community Detection  19th
UGCM-LU: A Unified Stream and Batch Graph Computing Model w...
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19th CCF Conference on Computer Supported Cooperative Work and Social computing, ChineseCSCW 2024
作者: Li, Hong Wu, Ling Guo, Kun College of Computer and Data Science Fuzhou University Fuzhou350108 China Engineering Research Center of Big Data Intelligence Ministry of Education Fuzhou350108 China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou350108 China
Unified stream and batch computing (USBC) aims to incorporate stream and batch computation into a unified framework, thereby enabling the development of a one-stop solution for stream and batch data processing and enh... 详细信息
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Shape Recognition and Retrieval Based on Edit Distance and Dynamic Programming
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Tsinghua Science and Technology 2009年 第6期14卷 739-745页
作者: 潘鸿飞 梁栋 唐俊 王年 李薇 Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University
An important aim in pattern recognition is to cluster the given shapes. This paper presents a shape recognition and retrieval algorithm. The algorithm first extracts the skeletal features using the medial axis transfo... 详细信息
来源: 评论
Human-like conceptual representations emerge from language prediction
arXiv
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arXiv 2025年
作者: Xu, Ningyu Zhang, Qi Du, Chao Luo, Qiang Qiu, Xipeng Huang, Xuanjing Zhang, Menghan School of Computer Science Fudan University Shanghai China Institute of Modern Languages and Linguistics Fudan University Shanghai China Shanghai Key Laboratory of Intelligent Information Processing Shanghai China Research Institute of Intelligent Complex Systems Fudan University Shanghai China Shanghai Collaborative Innovation Center of Intelligent Visual Computing Shanghai China Ministry of Education Key Laboratory of Contemporary Anthropology Fudan University Shanghai China
People acquire concepts through rich physical and social experiences and use them to understand the world. In contrast, large language models (LLMs), trained exclusively through next-token prediction over language dat... 详细信息
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On the error coefficients of asymptotic frame error rate optimal binary linear codes
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IEEE Transactions on Information Theory 2025年
作者: Li, Shitao Luo, Gaojun Shi, Minjia Ling, San Anhui University Key Laboratory of Intelligent Computing Signal Processing Ministry of Education School of Mathematical Sciences Anhui Hefei230601 China Nanjing University of Aeronautics and Astronautics School of Mathematics Jiangsu Province Nanjing211106 China Nanyang Technological University School of Physical and Mathematical Sciences 637371 Singapore
A binary linear code is called asymptotic frame error rate (AFER)-optimal if it achieves the maximum possible value of the minimum distance while having the smallest value of the corresponding error coefficient. Over ... 详细信息
来源: 评论