咨询与建议

限定检索结果

文献类型

  • 415 篇 期刊文献
  • 408 篇 会议

馆藏范围

  • 823 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 503 篇 工学
    • 383 篇 计算机科学与技术...
    • 304 篇 软件工程
    • 97 篇 信息与通信工程
    • 77 篇 生物工程
    • 73 篇 电气工程
    • 58 篇 控制科学与工程
    • 38 篇 电子科学与技术(可...
    • 33 篇 交通运输工程
    • 29 篇 机械工程
    • 29 篇 生物医学工程(可授...
    • 25 篇 光学工程
    • 24 篇 化学工程与技术
    • 18 篇 网络空间安全
    • 15 篇 仪器科学与技术
    • 15 篇 动力工程及工程热...
    • 13 篇 材料科学与工程(可...
  • 261 篇 理学
    • 132 篇 数学
    • 87 篇 生物学
    • 43 篇 物理学
    • 36 篇 统计学(可授理学、...
    • 28 篇 化学
    • 17 篇 系统科学
  • 142 篇 管理学
    • 81 篇 管理科学与工程(可...
    • 66 篇 图书情报与档案管...
    • 25 篇 工商管理
  • 33 篇 医学
    • 25 篇 临床医学
    • 23 篇 基础医学(可授医学...
    • 15 篇 公共卫生与预防医...
    • 11 篇 药学(可授医学、理...
  • 21 篇 法学
    • 15 篇 社会学
  • 9 篇 经济学
  • 6 篇 农学
  • 2 篇 教育学
  • 2 篇 文学
  • 1 篇 军事学
  • 1 篇 艺术学

主题

  • 28 篇 semantics
  • 26 篇 training
  • 25 篇 computational mo...
  • 25 篇 feature extracti...
  • 21 篇 deep learning
  • 18 篇 accuracy
  • 15 篇 data models
  • 14 篇 task analysis
  • 14 篇 memory managemen...
  • 14 篇 contrastive lear...
  • 14 篇 predictive model...
  • 14 篇 machine learning
  • 13 篇 costs
  • 13 篇 codes
  • 12 篇 graph neural net...
  • 11 篇 scalability
  • 11 篇 deep neural netw...
  • 11 篇 computer archite...
  • 11 篇 convolution
  • 11 篇 optimization

机构

  • 130 篇 national enginee...
  • 100 篇 national enginee...
  • 74 篇 college of compu...
  • 61 篇 school of comput...
  • 51 篇 school of cyber ...
  • 37 篇 national enginee...
  • 31 篇 hubei engineerin...
  • 29 篇 huazhong univers...
  • 29 篇 services computi...
  • 27 篇 cluster and grid...
  • 27 篇 shenzhen univers...
  • 26 篇 hubei key labora...
  • 20 篇 national enginee...
  • 18 篇 school of comput...
  • 18 篇 shenzhen institu...
  • 18 篇 school of softwa...
  • 18 篇 zhejiang lab
  • 15 篇 guangdong provin...
  • 15 篇 school of inform...
  • 12 篇 hubei key labora...

作者

  • 126 篇 jin hai
  • 123 篇 hai jin
  • 43 篇 xiaofei liao
  • 40 篇 shen linlin
  • 26 篇 liao xiaofei
  • 24 篇 li jianqiang
  • 23 篇 hu shengshan
  • 22 篇 long zheng
  • 21 篇 haikun liu
  • 17 篇 yu zhang
  • 17 篇 linlin shen
  • 16 篇 zou deqing
  • 16 篇 zhang leo yu
  • 15 篇 li tianrui
  • 15 篇 deqing zou
  • 15 篇 jianqiang li
  • 15 篇 yu huang
  • 13 篇 jiang xiao
  • 13 篇 li minghui
  • 12 篇 zhou ziqi

语言

  • 747 篇 英文
  • 66 篇 其他
  • 13 篇 中文
检索条件"机构=The National Engineering Laboratory for Big Data System Computing Technology"
823 条 记 录,以下是251-260 订阅
排序:
A method for accelerating relations search over big data scenario  22
A method for accelerating relations search over big data sce...
收藏 引用
Proceedings of the 2022 5th International Conference on Algorithms, computing and Artificial Intelligence
作者: Lihua Liu Mao Wang Kaiming Xiao Haiwen Chen College of System Engineering National University of Defense Technology China and Laboratory for Big Data and Decision National University of Defense Technology China
We propose an acceleration method for relations search over big data scenario. The relations search is in essence an induced subgraph search of graph data model, which is to search all edges with all adjacent vertices... 详细信息
来源: 评论
FusionANNS: An Efficient CPU/GPU Cooperative Processing Architecture for Billion-scale Approximate Nearest Neighbor Search
arXiv
收藏 引用
arXiv 2024年
作者: Tian, Bing Liu, Haikun Tang, Yuhang Xiao, Shihai Duan, Zhuohui Liao, Xiaofei Zhang, Xuecang Zhu, Junhua Zhang, Yu 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 Huawei Technologies Co. Ltd China
Approximate nearest neighbor search (ANNS) has emerged as a crucial component of database and AI infrastructure Ever-increasing vector datasets pose significant challenges in terms of performance, cost, and accuracy f... 详细信息
来源: 评论
Efficient distributed algorithms for holistic aggregation functions on random regular graphs
收藏 引用
Science China(Information Sciences) 2022年 第5期65卷 32-50页
作者: Lin JIA Qiang-Sheng HUA Haoqiang FAN Qiuping WANG 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 TechnologyHuazhong University of Science and Technology Institute for Interdisciplinary Information Science Tsinghua University
In this paper, we propose efficient distributed algorithms for three holistic aggregation functions on random regular graphs that are good candidates for network topology in next-generation data *** three holistic agg... 详细信息
来源: 评论
Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution
arXiv
收藏 引用
arXiv 2024年
作者: Huang, Changxin Chang, Yanbin Lin, Junfan Liang, Junyang Zeng, Runhao Li, Jianqiang National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China Peng Cheng Laboratory Shenzhen China Artificial Intelligence Research Institute Shenzhen MSU-BIT University Shenzhen China
The ability to autonomously explore and resolve tasks with minimal human guidance is crucial for the self-development of embodied intelligence. Although reinforcement learning methods can largely ease human effort, it... 详细信息
来源: 评论
FlexiFed: Personalized Federated Learning for Edge Clients with Heterogeneous Model Architectures  23
FlexiFed: Personalized Federated Learning for Edge Clients w...
收藏 引用
2023 World Wide Web Conference, WWW 2023
作者: Wang, Kaibin He, Qiang Chen, Feifei Chen, Chunyang Huang, Faliang Jin, Hai Yang, Yun School of Computer Science and Technology Huazhong University of Science and Technology China Department of Computing Technologies Swinburne University of Technology Australia School of Information Technology Deakin University Australia Faculty of Information Technology Monash University Australia Guangxi Key Lab of Human-machine Interaction and Intelligent Decision Nanning Normal University China 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 Wuhan430074 China
Mobile and Web-of-Things (WoT) devices at the network edge account for more than half of the world's web traffic, making a great data source for various machine learning (ML) applications, particularly federated l... 详细信息
来源: 评论
SMOG: Accelerating Subgraph Matching on GPUs
SMOG: Accelerating Subgraph Matching on GPUs
收藏 引用
IEEE Conference on High Performance Extreme computing (HPEC)
作者: Zhibin Wang Ziheng Meng Xue Li Xi Lin Long Zheng Chen Tian Sheng Zhong State Key Laboratory for Novel Software Technology Nanjing University Alibaba Group“ 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 Zhejiang Lab
Subgraph matching is a crucial problem in graph theory with diverse applications in fields, such as bioinformatics, social networks and recommendation systems. Accelerating subgraph matching can be greatly facilitated...
来源: 评论
BADROBOT: JAILBREAKING EMBODIED LLMS IN THE PHYSICAL WORLD
arXiv
收藏 引用
arXiv 2024年
作者: Zhang, Hangtao Zhu, Chenyu Wang, Xianlong Zhou, Ziqi Yin, Changgan Li, Minghui Xue, Lulu Wang, Yichen Hu, Shengshan Liu, Aishan Guo, Peijin Zhang, Leo Yu National Engineering Research Center for Big Data Technology and System China Services Computing Technology and System Lab China Cluster and Grid Computing Lab China Hubei Engineering Research Center on Big Data Security China Hubei Key Laboratory of Distributed System Security China Beihang University China School of Cyber Science and Engineering Huazhong University of Science and Technology China School of Software Engineering Huazhong University of Science and Technology China School of Information and Communication Technology Griffith University Australia
Embodied AI represents systems where AI is integrated into physical entities. Large Language Model (LLM), which exhibits powerful language understanding abilities, has been extensively employed in embodied AI by facil... 详细信息
来源: 评论
Ethereum smart contract security research:survey and future research opportunities
收藏 引用
Frontiers of Computer Science 2021年 第2期15卷 143-160页
作者: Zeli WANG Hai JIN Weiqi DAI Kim-Kwang Raymond CHOO Deqing ZOU National Engineering Research Center for Big Data Technology and System Services Computing Technology and System LabClusters and Grid Computing LabHubei Engineering Research Center on Big Data SecurityWuhan430074China School of Computer Science and Technology Huazhong University of Science and TechnologyWuhan430074China School of Cyber Science and Engineering Huazhong University of Science and TechnologyWuhan430074China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen518057China Department of Information Systems and Cyber Security University of Texas at San AntonioSan AntonioTX78249-0631USA
Blockchain has recently emerged as a research trend,with potential applications in a broad range of industries and *** particular successful Blockchain technology is smart contract,which is widely used in commercial s... 详细信息
来源: 评论
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
Differential-Trust-Mechanism Based Trade-off Method Between Privacy and Accuracy in Recommender systems
收藏 引用
IEEE Transactions on Information Forensics and Security 2025年 20卷 5054-5068页
作者: Xu, Guangquan Feng, Shicheng Xi, Hao Yan, Qingyang Li, Wenshan Wang, Cong Wang, Wei Liu, Shaoying Tian, Zhihong Zheng, Xi Qingdao Huanghai University School of Big Data Qingdao China Tianjin University College of Intelligence and Computing Tianjin300350 China KLISS and School of Software Beijing100084 China Sichuan University School of Cyber Science and Engineering Chengdu610207 China Xi’an Jiaotong University School of Cyber Science and Engineering Xi’an710049 China East China Normal University Shanghai200062 China Hiroshima University School of Informatics and Data Science Higashihiroshima739-8511 Japan Guangzhou University Cyberspace Institute of Advanced Technology Guangdong Key Laboratory of Industrial Control System Security Huangpu Research School of Guangzhou University China Macquarie University School of Computing SydneyNSW2109 Australia
In the era where Web3.0 values data security and privacy, adopting groundbreaking methods to enhance privacy in recommender systems is crucial. Recommender systems need to balance privacy and accuracy, while also havi... 详细信息
来源: 评论