咨询与建议

限定检索结果

文献类型

  • 471 篇 会议
  • 180 篇 期刊文献
  • 7 册 图书

馆藏范围

  • 658 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 372 篇 工学
    • 326 篇 计算机科学与技术...
    • 226 篇 软件工程
    • 59 篇 信息与通信工程
    • 32 篇 生物工程
    • 30 篇 电气工程
    • 27 篇 电子科学与技术(可...
    • 27 篇 控制科学与工程
    • 21 篇 网络空间安全
    • 17 篇 动力工程及工程热...
    • 15 篇 机械工程
    • 9 篇 交通运输工程
    • 7 篇 光学工程
    • 7 篇 仪器科学与技术
    • 7 篇 化学工程与技术
    • 7 篇 生物医学工程(可授...
    • 5 篇 安全科学与工程
  • 119 篇 理学
    • 65 篇 数学
    • 35 篇 生物学
    • 19 篇 系统科学
    • 12 篇 统计学(可授理学、...
    • 11 篇 化学
    • 10 篇 物理学
  • 117 篇 管理学
    • 88 篇 管理科学与工程(可...
    • 38 篇 图书情报与档案管...
    • 36 篇 工商管理
  • 17 篇 法学
    • 10 篇 社会学
    • 7 篇 法学
  • 13 篇 经济学
    • 12 篇 应用经济学
  • 5 篇 医学
    • 5 篇 基础医学(可授医学...
  • 4 篇 文学
    • 4 篇 新闻传播学
  • 4 篇 农学
  • 1 篇 教育学
  • 1 篇 军事学
  • 1 篇 艺术学

主题

  • 65 篇 grid computing
  • 34 篇 virtual machinin...
  • 30 篇 servers
  • 29 篇 computer science
  • 27 篇 peer to peer com...
  • 26 篇 computational mo...
  • 26 篇 cloud computing
  • 25 篇 scalability
  • 24 篇 bandwidth
  • 23 篇 computer archite...
  • 21 篇 computers
  • 20 篇 resource managem...
  • 19 篇 protocols
  • 19 篇 kernel
  • 19 篇 hardware
  • 17 篇 operating system...
  • 17 篇 application soft...
  • 16 篇 memory managemen...
  • 15 篇 costs
  • 15 篇 virtual machine ...

机构

  • 100 篇 national enginee...
  • 71 篇 services computi...
  • 60 篇 school of comput...
  • 53 篇 services computi...
  • 45 篇 school of cyber ...
  • 29 篇 national enginee...
  • 28 篇 cluster and grid...
  • 27 篇 huazhong univers...
  • 26 篇 hubei engineerin...
  • 25 篇 services computi...
  • 23 篇 hubei key labora...
  • 21 篇 cluster and grid...
  • 18 篇 zhejiang lab
  • 17 篇 school of softwa...
  • 14 篇 services computi...
  • 14 篇 school of inform...
  • 13 篇 services computi...
  • 13 篇 cluster and grid...
  • 12 篇 national enginee...
  • 12 篇 service computin...

作者

  • 324 篇 hai jin
  • 234 篇 jin hai
  • 80 篇 xiaofei liao
  • 52 篇 deqing zou
  • 50 篇 liao xiaofei
  • 42 篇 song wu
  • 32 篇 zou deqing
  • 31 篇 shi xuanhua
  • 29 篇 wu song
  • 28 篇 xuanhua shi
  • 25 篇 long zheng
  • 25 篇 haikun liu
  • 24 篇 ran zheng
  • 19 篇 hu shengshan
  • 17 篇 xia xie
  • 17 篇 qin zhang
  • 17 篇 yu zhang
  • 15 篇 jiang xiao
  • 15 篇 yu huang
  • 14 篇 liu haikun

语言

  • 623 篇 英文
  • 23 篇 其他
  • 13 篇 中文
检索条件"机构=Services Computing Technology and System Lab & Cluster and Grid Computing Lab"
658 条 记 录,以下是101-110 订阅
排序:
Duo: Improving Data Sharing of Stateful Serverless Applications by Efficiently Caching Multi-Read Data
Duo: Improving Data Sharing of Stateful Serverless Applicati...
收藏 引用
International Symposium on Parallel and Distributed Processing (IPDPS)
作者: Zhuo Huang Hao Fan Chaoyi Cheng Song Wu Hai Jin 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 China
A growing number of applications are moving to serverless architectures for high elasticity and fine-grained billing. For stateful applications, however, the use of serverless architectures is likely to lead to signif...
来源: 评论
Scalable Optimal Margin Distribution Machine
arXiv
收藏 引用
arXiv 2023年
作者: Wang, Yilin Cao, Nan Zhang, Teng Shi, Xuanhua 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 China
Optimal margin Distribution Machine (ODM) is a newly proposed statistical learning framework rooting in the latest margin theory, which demonstrates better generalization performance than the traditional large margin ... 详细信息
来源: 评论
FIRE: combining multi-stage filtering with taint analysis for scalable recurring vulnerability detection  24
FIRE: combining multi-stage filtering with taint analysis fo...
收藏 引用
Proceedings of the 33rd USENIX Conference on Security Symposium
作者: Siyue Feng Yueming Wu Wenjie Xue Sikui Pan Deqing Zou Yang Liu Hai Jin National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security Cluster and Grid Computing Lab and School of Cyber Science and Engineering Huazhong University of Science and Technology China Nanyang Technological University Singapore National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security Cluster and Grid Computing Lab and School of Cyber Science and Engineering Huazhong University of Science and Technology China and Jinyinhu Laboratory China National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security Cluster and Grid Computing Lab and School of Computer Science and Technology Huazhong University of Science and Technology China
With the continuous development of software open-sourcing, the reuse of open-source software has led to a significant increase in the occurrence of recurring vulnerabilities. These vulnerabilities often arise through ...
来源: 评论
Enabling Efficient Large Recommendation Model Training with Near CXL Memory Processing
Enabling Efficient Large Recommendation Model Training with ...
收藏 引用
Annual International Symposium on Computer Architecture, ISCA
作者: Haifeng Liu Long Zheng Yu Huang Jingyi Zhou Chaoqiang Liu Runze Wang Xiaofei Liaot Hai Jinf Jingling Xue National Engineering Research Center for Big Data Technology and System/Services Computing Technology and System Lab/Cluster and Grid Computing Lab Huazhong University of Science and Technology China School of Computer Science and Engineering University of New South Wales Australia Zhejiang Lab Hangzhou China
Personalized recommendation systems have become one of the most important Internet services nowadays. A critical challenge of training and deploying the recommendation models is their high memory capacity and bandwidt... 详细信息
来源: 评论
MeG2: In-Memory Acceleration for Genome Graphs Analysis
MeG2: In-Memory Acceleration for Genome Graphs Analysis
收藏 引用
Design Automation Conference
作者: Yu Huang Long Zheng Haifeng Liu Zhuoran Zhou Dan Chen Pengcheng Yao Qinggang Wang Xiaofei Liao Hai Jin National Engineering Research Center for Big Data Technology and System/Services Computing Technology and System Lab/Cluster and Grid Computing Laboratory Huazhong University of Science and Technology Wuhan China Zhejiang Lab Hangzhou China
Genome graphs analysis has emerged as an effective means to enable mapping DNA fragments (known as reads) to the reference genome. It replaces the traditional linear reference with a graph-based representation to augm...
来源: 评论
It Takes Two to Tango: Serverless Workflow Serving via Bilaterally Engaged Resource Adaptation
arXiv
收藏 引用
arXiv 2025年
作者: Wu, Jing Wang, Lin Deng, Quanfeng Yu, Chen Zhang, Dong Yan, Bingheng Liu, Fangming National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab Huazhong University of Science and Technology China Paderborn University Germany Inspur Data Co. Ltd. China Peng Cheng Laboratory China
Serverless platforms typically adopt an early-binding approach for function sizing, requiring developers to specify an immutable size for each function within a workflow beforehand. Accounting for potential runtime va... 详细信息
来源: 评论
FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices
arXiv
收藏 引用
arXiv 2025年
作者: Yao, Dezhong Shi, Yuexin Liu, Tongtong Xu, Zhiqiang 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 Mohamed bin Zayed University of Artificial Intelligence United Arab Emirates
Federated Learning (FL) is increasingly adopted in edge computing scenarios, where a large number of heterogeneous clients operate under constrained or sufficient resources. The iterative training process in conventio... 详细信息
来源: 评论
Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach
arXiv
收藏 引用
arXiv 2024年
作者: Wan, Yao Wan, Guanghua Zhang, Shijie Zhang, Hongyu Zhou, Pan Jin, Hai Sun, Lichao 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 Huazhong University of Science and Technology China University of Leigh United States
Recent years have witnessed significant progress in developing deep learning-based models for automated code completion. Examples of such models include CodeGPT and StarCoder. These models are typically trained from a... 详细信息
来源: 评论
Fast Parallel Recovery for Transactional Stream Processing on Multicores
Fast Parallel Recovery for Transactional Stream Processing o...
收藏 引用
International Conference on Data Engineering
作者: Jianjun Zhao Haikun Liu Shuhao Zhang Zhuohui Duan Xiaofei Liao Hai Jin Yu Zhang 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 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
On Pipelined GCN with Communication-Efficient Sampling and Inclusion-Aware Caching
On Pipelined GCN with Communication-Efficient Sampling and I...
收藏 引用
IEEE Annual Joint Conference: INFOCOM, IEEE Computer and Communications Societies
作者: Shulin Wang Qiang Yu Xiong Wang Yuqing Li Hai Jin 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 School of Cyber Science and Engineering Wuhan University Wuhan China
Graph convolutional network (GCN) has achieved enormous success in learning structural information from unstructured data. As graphs become increasingly large, distributed training for GCNs is severely prolonged by fr... 详细信息
来源: 评论