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检索条件"机构=School of Computer and Comm.Eng."
22720 条 记 录,以下是11-20 订阅
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Hybrid concurrency control protocol for data sharing among heterogeneous blockchains
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Frontiers of computer Science 2024年 第3期18卷 1-12页
作者: Tiezheng GUO Zhiwei ZHANG Ye YUAN Xiaochun YANG Guoren WANG school of computer Science and Technology Beijing Institute of TechnologyBeijing 100029China school of computer Science and engineering Northeastern UniversityShenyang 110167China
With the development of information technology and cloud computing,data sharing has become an important part of scientific *** traditional data sharing,data is stored on a third-party storage platform,which causes the... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论
A Deep Deterministic Policy Gradient-Based Method for Enforcing Service Fault-Tolerance in MEC
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Chinese Journal of Electronics 2024年 第4期33卷 899-909页
作者: Tingyan LONG Peng CHEN Yunni XIA Yong MA Xiaoning SUN Jiale ZHAO Yifei LYU College of computer Science Chongqing University school of computer and Software engineering Xihua University school of computer and Information engineering Jiangxi Normal University school of computer and Information Science Chongqing Normal University
Mobile edge computing(MEC) provides edge services to users in a distributed and on-demand *** to the heterogeneity of edge applications, deploying latency and resource-intensive applications on resourceconstrained dev... 详细信息
来源: 同方期刊数据库 同方期刊数据库 评论
Adaptive coupled-sliding-variable-based finite-time control of composite formation for multi-robot systems
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Science China(Information Sciences) 2024年 第10期67卷 244-260页
作者: Xinru MA Hengyu LI Jun LIU Yueying WANG Shaorong XIE Jun LUO school of Mechatronic engineering and Automation Shanghai University school of Mathematics and computer Application Technology Jining University school of computer Science Shanghai University College of Mechanical and Vehicle engineering Chongqing University
This paper focuses on the finite-time control(FTC) of the composite formation consensus(CFC)problems for multi-robot systems(MRSs). The CFC problems are firstly proposed for MRSs under the complex network topology of ... 详细信息
来源: 同方期刊数据库 同方期刊数据库 评论
y-Tuning: an efficient tuning paradigm for large-scale pre-trained models via label representation learning
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Frontiers of computer Science 2024年 第4期18卷 107-116页
作者: Yitao LIU Chenxin AN Xipeng QIU school of computer Science Fudan UniversityShanghai 200433China
With current success of large-scale pre-trained models(PTMs),how efficiently adapting PTMs to downstream tasks has attracted tremendous attention,especially for PTMs with billions of *** work focuses on designing para... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论
Retrieval-and-alignment based large-scale indoor point cloud semantic segmentation
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Science China(Information Sciences) 2024年 第4期67卷 164-180页
作者: Zongyi XU Xiaoshui HUANG Bo YUAN Yangfu WANG Qianni ZHANG Weisheng LI Xinbo GAO school of computer Science and Technology Chongqing University of Posts and Telecommunications Shanghai Artificial Intelligence Laboratory school of Electronic engineering and computer Science Queen Mary University of London
Current methods for point cloud semantic segmentation depend on the extraction of descriptive features. However, unlike images, point clouds are irregular and often lack texture information, making it demanding to ext... 详细信息
来源: 同方期刊数据库 同方期刊数据库 评论
Weakly-supervised instance co-segmentation via tensor-based salient co-peak search
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Frontiers of computer Science 2024年 第2期18卷 83-92页
作者: Wuxiu QUAN Yu HU Tingting DAN Junyu LI Yue ZHANG Hongmin CAI school of computer Science Guangdong Polytechnic Normal UniversityGuangzhou 510665China school of computer Science and engineering South China University of TechnologyGuangzhou 510006China
Instance co-segmentation aims to segment the co-occurrent instances among two *** task heavily relies on instance-related cues provided by co-peaks,which are generally estimated by exhaustively exploiting all paired c... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论
Deep learning for code generation: a survey
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Science China(Information Sciences) 2024年 第9期67卷 5-40页
作者: Huangzhao ZHANG Kechi ZHANG Zhuo LI Jia LI Jia LI Yongmin LI Yunfei ZHAO Yuqi ZHU Fang LIU Ge LI Zhi JIN Key Lab of High Confidence Software Technologies (Peking University) Ministry of Education school of computer Science Peking University school of computer Science and engineering Beihang University
In the past decade, thanks to the powerfulness of deep-learning techniques, we have witnessed a whole new era of automated code generation. To sort out developments, we have conducted a comprehensive review of solutio... 详细信息
来源: 同方期刊数据库 同方期刊数据库 评论
Computation Tree Logic Model Checking of Multi-Agent Systems Based on Fuzzy Epistemic Interpreted Systems
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computers, Materials & Continua 2024年 第3期78卷 4129-4152页
作者: Xia Li Zhanyou Ma Zhibao Mian Ziyuan Liu Ruiqi Huang Nana He school of computer Science and engineering North Minzu UniversityYinchuan750000China school of computer Science FoSEThe University of HullHullUK
Model checking is an automated formal verification method to verify whether epistemic multi-agent systems adhere to property *** there is an extensive literature on qualitative properties such as safety and liveness,t... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论
Mobile Crowdsourcing Task Allocation Based on Dynamic Self-Attention GANs
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computers, Materials & Continua 2024年 第4期79卷 607-622页
作者: Kai Wei Song Yu Qingxian Pan school of computer and Control engineering Yantai UniversityYantai264005China school of computer and Information Science Southwest UniversityChongqing400715China
Crowdsourcing technology is widely recognized for its effectiveness in task scheduling and resource *** traditional methods for task allocation can help reduce costs and improve efficiency,they may encounter challenge... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论
Multi-instance partial-label learning: towards exploiting dual inexact supervision
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Science China(Information Sciences) 2024年 第3期67卷 48-61页
作者: Wei TANG Weijia ZHANG Min-Ling ZHANG school of computer Science and engineering Southeast University Key Laboratory of computer Network and Information Integration (Southeast University) Ministry of Education school of Information and Physical Sciences The University of Newcastle
Weakly supervised machine learning algorithms are able to learn from ambiguous samples or labels, e.g., multi-instance learning or partial-label learning. However, in some real-world tasks, each training sample is ass... 详细信息
来源: 同方期刊数据库 同方期刊数据库 评论