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检索条件"机构=National Engineering Laboratory for Big Data System Computing Technology"
821 条 记 录,以下是201-210 订阅
排序:
Android malware family classification and characterization using CFG and DFG  13
Android malware family classification and characterization u...
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13th International Symposium on Theoretical Aspects of Software engineering, TASE 2019
作者: Xu, Zhiwu Ren, Kerong Song, Fu College of Computer Science and Software Engineering Shenzhen University Shenzhen China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China School of Information Science and Technology ShanghaiTech University Shanghai China
Android malware has become a serious threat for our daily life, and thus there is a pressing need to effectively mitigate or defend against them. Recently, many approaches and tools to analyze Android malware have bee... 详细信息
来源: 评论
Fast Parallel Recovery for Transactional Stream Processing on Multicores  40
Fast Parallel Recovery for Transactional Stream Processing o...
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40th IEEE International Conference on data engineering, ICDE 2024
作者: Zhao, Jianjun Liu, Haikun Zhang, Shuhao Duan, Zhuohui Liao, Xiaofei Jin, Hai Zhang, Yu School of Computer Science and Technology Huazhong University of Science and Technology National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab Wuhan China School of Computer Science and Engineering Nanyang Technological University Singapore
Transactional stream processing engines (TSPEs) have gained increasing attention due to their capability of processing real-time stream applications with transactional semantics. However, TSPEs remain susceptible to s... 详细信息
来源: 评论
Evolutionary Multiobjective Feature Selection Assisted by Unselected Features  13
Evolutionary Multiobjective Feature Selection Assisted by Un...
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13th IEEE Congress on Evolutionary Computation, CEC 2024
作者: Duan, Xuan Liu, Songbai Ji, Junkai Li, Lingjie Lin, Qiuzhen Tan, Kay Chen College of Computer Science and Software Engineering Shenzhen University Shenzhen China Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen China Shenzhen China The Hong Kong Polytechnic University Department of Computing Hong Kong
To enhance the generalization of multi-objective feature selection (MOFS) in classification, this paper proposes an evolutionary multitasking algorithm, diverging from previous approaches that exclusively target selec... 详细信息
来源: 评论
FedRKG: A Privacy-Preserving Federated Recommendation Framework via Knowledge Graph Enhancement  18th
FedRKG: A Privacy-Preserving Federated Recommendation Framew...
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18th International Conference on Green, Pervasive, and Cloud computing, GPC 2023
作者: Yao, Dezhong Liu, Tongtong Cao, Qi Jin, Hai National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China School of Computing Science University of Glasgow Glasgow United Kingdom
Federated Learning (FL) has emerged as a promising approach for preserving data privacy in recommendation systems by training models locally. Recently, Graph Neural Networks (GNN) have gained popularity in recommendat... 详细信息
来源: 评论
A Multi-Dimensional Assessment Model and Its Application in E-learning Courses of Computer Science  20
A Multi-Dimensional Assessment Model and Its Application in ...
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21st Annual Conference of the Special Interest Group in Information technology Education, SIGITE 2020
作者: Luo, Jiwen Lu, Feng Wang, Tao Key Lab. of Parallel and Distributed Computing College of Computer National University of Defense Technology Changsha China National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China
Computer science is a practical discipline. It is always a great challenge to evaluate students' computer practice using computer-aided means for large scale students. We always need to address problems such as su... 详细信息
来源: 评论
Container lifecycle-aware scheduling for serverless computing
Container lifecycle-aware scheduling for serverless computin...
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作者: Wu, Song Tao, Zhiheng Fan, Hao Huang, Zhuo Zhang, Xinmin Jin, Hai Yu, Chen Cao, Chun National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing China
Elastic scaling in response to changes on demand is a main benefit of serverless computing. When bursty workloads arrive, a serverless platform launches many new containers and initializes function environments (known... 详细信息
来源: 评论
An Efficient Graph Accelerator with Distributed On-Chip Memory Hierarchy  22nd
An Efficient Graph Accelerator with Distributed On-Chip Mem...
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22nd International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2022
作者: Zheng, Ran Jiang, Yingxin Wang, Yibo Su, Yongbo Zheng, Long Yao, Pengcheng Liao, Xiaofei Jin, Hai National Engineering Research Center for Big Data Technology and System/Services Computing Technology and System Lab/Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China Zhejiang Lab Hangzhou311121 China
Graph processing has evolved and expanded swiftly with artificial intelligence and big data technology. High-Bandwidth Memory (HBM), which delivers terabyte-level memory bandwidth, has opened up new development possib... 详细信息
来源: 评论
CDA-GNN: A Chain-driven Accelerator for Efficient Asynchronous Graph Neural Network  24
CDA-GNN: A Chain-driven Accelerator for Efficient Asynchrono...
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61st ACM/IEEE Design Automation Conference, DAC 2024
作者: Yu, Hui Zhang, Yu He, Ligang He, Donghao Li, Qikun Zhao, Jin Liao, Xiaofei Jin, Hai Gu, Lin Liu, Haikun National Engineering Research Center for Big Data Technology and System Service Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology China Department of Computer Science University of Warwick United Kingdom
Asynchronous Graph Neural Network (AGNN) has attracted much research attention because it enables faster convergence speed than the synchronous GNN. However, existing software/hardware solutions suffer from redundant ... 详细信息
来源: 评论
Adaptive Evolutionary Reinforcement Learning Algorithm with Early Termination Strategy  23
Adaptive Evolutionary Reinforcement Learning Algorithm with ...
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23rd International Conference on Autonomous Agents and Multiagent systems, AAMAS 2024
作者: Wu, Xiaoqiang Zhu, Qingling Lin, Qiuzhen Chen, Weineng Li, Jianqiang College of Computer Science and Software Engineering Shenzhen University Shenzhen China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China School of Computer Science and Engineering South China University of Technology Guangzhou China
Evolutionary reinforcement learning algorithms (ERLs), which combine evolutionary algorithms (EAs) with reinforcement learning (RL), have demonstrated significant success in enhancing RL performance. However, most ERL... 详细信息
来源: 评论
Motif-preserving temporal network embedding  29
Motif-preserving temporal network embedding
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29th International Joint Conference on Artificial Intelligence, IJCAI 2020
作者: Huang, Hong Fang, Zixuan Wang, Xiao Miao, Youshan Jin, Hai National Engineering Research Center for Big Data Technology and System Service Computing Technology and Systems Laboratory School of Computer Science and Technology Huazhong University of Science and Technology China Beijing University of Posts and Telecommunications China Microsoft Research Asia
Network embedding, mapping nodes in a network to a low-dimensional space, achieves powerful performance. An increasing number of works focus on static network embedding, however, seldom attention has been paid to temp... 详细信息
来源: 评论