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检索条件"机构=Fujian Key Laboratory of Scientific and Engineering Computing"
1339 条 记 录,以下是51-60 订阅
排序:
Any-Angle Routing Algorithm for Microfluidic Biochips Driven by Flow Path
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Jisuanji Yanjiu yu Fazhan/Computer Research and Development 2025年 第4期62卷 978-988页
作者: Youlin, Pan Shuai, Guo Xing, Huang Genggeng, Liu College of Computer and Data Science Fuzhou University Fuzhou350116 China Engineering Research Center of Big Data Intelligence Fuzhou University Ministry of Education Fuzhou350116 China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou350116 China School of Computer Science Northwestern Polytechnical University Xi’an710072 China
Continuous-flow microfluidic biochips (CFMBs) have become a hot research topic in recent years due to their ability to perform biochemical assays automatically and efficiently. For the first time, PathDriver+ takes th... 详细信息
来源: 评论
Numerical analysis of a semi-implicit Euler scheme for the Keller-Segel model
arXiv
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arXiv 2025年
作者: Huang, Xueling Goubet, Olivier Shen, Jie School of Mathematical Sciences Fujian Provincial Key Laboratory on Mathematical Modeling and High Performance Scientific Computing Xiamen University Fujian Xiamen361005 China Laboratoire Paul Painlevé CNRS UMR 8524 et équipe projet INRIA PARADYSE Université de Lille Lille59000 France School of Mathematical Science Eastern Institute of Technology Zhejiang Ningbo315200 China
We study the properties of a semi-implicit Euler scheme that is widely used in time discretization of Keller-Segel equations both in the parabolic-elliptic form and the parabolic-parabolic form. We prove that this lin... 详细信息
来源: 评论
Semi-Supervised Feature Selection With Multi-Scale Fuzzy Information Fusion: From Both Global and Local Perspectives
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IEEE Transactions on Fuzzy Systems 2025年
作者: Zhou, Nan Liao, Shujiao Chen, Hongmei Ding, Weiping Lu, Yaqian Minnan Normal University School of Mathematics and Statistics Fujian Key Laboratory of Granular Computing and Applications Zhangzhou363000 China Southwest Jiaotong University School of Computing and Artificial Intelligence National Engineering Laboratory of Integrated Transportation Big Data Application Technology Chengdu611756 China Nantong University School of Artificial Intelligence and Computer Science Nantong226019 China City University of Macau Faculty of Data Science 999078 China
In reality, the laborious nature of label annotation leads to the widespread existence of limited labeled data. Moreover, multi-scale data have received widespread attention due to its rich knowledge representation. H... 详细信息
来源: 评论
A novel deep high-level concept-mining jointing hashing model for unsupervised cross-modal retrieval
High-Confidence Computing
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High-Confidence computing 2025年 第2期5卷
作者: Dong, Chun-Ru Zhang, Jun-Yan Zhang, Feng Hua, Qiang Xu, Dachuan Hebei Key Laboratory of Machine Learning and Computational Intelligence College of Mathematics and Information Science Hebei University Baoding071002 China Beijing Institute for Scientific and Engineering Computing Beijing University of Technology Beijing100124 China
Unsupervised cross-modal hashing has achieved great success in various information retrieval applications owing to its efficient storage usage and fast retrieval speed. Recent studies have primarily focused on trainin... 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
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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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
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Clustering-based Low Rank Approximation Method
arXiv
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arXiv 2025年
作者: Zhu, Yujun Zhu, Jie Arshad, Hizba Wang, Zhongming Ming, Ju School of Mathematics and Statistics Huazhong University of Science and Technology Wuhan China Hubei Key Laboratory of Engineering Modeling and Scientific Computing Huazhong University of Science and Technology Wuhan China Department of Mathematics and Statistics Florida International University MiamiFL United States
We propose a clustering-based generalized low rank approximation method, which takes advantage of appealing features from both the generalized low rank approximation of matrices (GLRAM) and cluster analysis. It exploi... 详细信息
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A diffuse-interface lattice Boltzmann method for the dissolution through nonlinear heterogeneous reaction
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Physics of Fluids 2025年 第5期37卷
作者: Yang, Xiaofeng Zhan, Chengjie Liu, Xi Chai, Zhenhua School of Mathematics and Statistics Huazhong University of Science and Technology Wuhan430074 China Institute of Interdisciplinary Research for Mathematics and Applied Science Huazhong University of Science and Technology Wuhan430074 China Hubei Key Laboratory of Engineering Modeling and Scientific Computing Huazhong University of Science and Technology Wuhan430074 China The State Key Laboratory of Intelligent Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan430074 China
In this work, a diffuse-interface lattice Boltzmann method (DI-LBM) is proposed for the dissolution through nonlinear heterogeneous reaction. In this method, the sharp boundary between the fluid and solid phases is re... 详细信息
来源: 评论