咨询与建议

限定检索结果

文献类型

  • 426 篇 期刊文献
  • 410 篇 会议

馆藏范围

  • 836 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 515 篇 工学
    • 391 篇 计算机科学与技术...
    • 305 篇 软件工程
    • 103 篇 信息与通信工程
    • 82 篇 电气工程
    • 77 篇 生物工程
    • 66 篇 控制科学与工程
    • 39 篇 电子科学与技术(可...
    • 36 篇 交通运输工程
    • 31 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
    • 22 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...
    • 14 篇 安全科学与工程
    • 13 篇 材料科学与工程(可...
  • 269 篇 理学
    • 137 篇 数学
    • 88 篇 生物学
    • 44 篇 物理学
    • 41 篇 统计学(可授理学、...
    • 28 篇 化学
    • 17 篇 系统科学
  • 148 篇 管理学
    • 85 篇 管理科学与工程(可...
    • 73 篇 图书情报与档案管...
    • 26 篇 工商管理
  • 34 篇 医学
    • 26 篇 临床医学
    • 24 篇 基础医学(可授医学...
    • 15 篇 公共卫生与预防医...
  • 20 篇 法学
    • 14 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

  • 132 篇 national enginee...
  • 102 篇 national enginee...
  • 75 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...
  • 28 篇 shenzhen univers...
  • 27 篇 cluster and grid...
  • 26 篇 hubei key labora...
  • 20 篇 national enginee...
  • 19 篇 zhejiang lab
  • 18 篇 school of comput...
  • 18 篇 shenzhen institu...
  • 18 篇 school of softwa...
  • 15 篇 guangdong provin...
  • 15 篇 school of inform...
  • 13 篇 huazhong univers...

作者

  • 130 篇 jin hai
  • 129 篇 hai jin
  • 43 篇 xiaofei liao
  • 39 篇 shen linlin
  • 28 篇 liao xiaofei
  • 25 篇 li jianqiang
  • 24 篇 long zheng
  • 23 篇 hu shengshan
  • 21 篇 haikun liu
  • 17 篇 yu zhang
  • 17 篇 linlin shen
  • 16 篇 zou deqing
  • 16 篇 zhang leo yu
  • 16 篇 yu huang
  • 15 篇 li tianrui
  • 15 篇 deqing zou
  • 15 篇 jianqiang li
  • 13 篇 jiang xiao
  • 13 篇 li minghui
  • 12 篇 zhou ziqi

语言

  • 757 篇 英文
  • 69 篇 其他
  • 13 篇 中文
检索条件"机构=The National Engineering Laboratory for Big Data System Computing Technology"
836 条 记 录,以下是431-440 订阅
排序:
An Efficient Block Validation Mechanism for UTXO-based Blockchains
An Efficient Block Validation Mechanism for UTXO-based Block...
收藏 引用
International Symposium on Parallel and Distributed Processing (IPDPS)
作者: Xiaohai Dai Bin Xiao Jiang Xiao 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 Department of Computing The Hong Kong Polytechnic University Hong Kong
It has been recognized that one of the bottlenecks in the UTXO-based blockchain systems is the slow block validation - the process of validating a newly-received block by a node before locally storing it and further b... 详细信息
来源: 评论
Graph-Augmented Contrastive Clustering for Time Series data
SSRN
收藏 引用
SSRN 2024年
作者: Zhang, Qin Liang, Zhuoluo Ngueilbaye, Alladoumbaye Liu, Han Zhou, Hong Huang, Joshua Zhexue College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen518060 China Guangzhou University China
The recent emergence of time series contrastive clustering methods can be categorized into two classes. The first class uses contrastive learning for universal representations, which can be effective in various downst... 详细信息
来源: 评论
Foundation models and intelligent decision-making: Progress, challenges, and perspectives
收藏 引用
The Innovation 2025年 第6期6卷
作者: Jincai Huang Yongjun Xu Qi Wang Qi (Cheems) Wang Xingxing Liang Fei Wang Zhao Zhang Wei Wei Boxuan Zhang Libo Huang Jingru Chang Liantao Ma Ting Ma Yuxuan Liang Jie Zhang Jian Guo Xuhui Jiang Xinxin Fan Zhulin An Tingting Li Aiguo Fei Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China National Engineering Research Center for Software Engineering Peking University Beijing 100871 China College of Systems Engineering National University of Defense Technology Changsha 410073 China Department of Oral Implantology Peking University School and Hospital of Stomatology Beijing 100081 China Laboratory for Big Data and Decision National University of Defense Technology Changsha 410073 China School of Automation Beijing Institute of Technology Beijing 100081 China Huazhong University of Science and Technology Wuhan 430074 China University of Chinese Academy of Sciences Beijing 100049 China State Key Laboratory of AI Safety Beijing 100190 China Department of Automation Tsinghua University Beijing 100084 China School of Information Science and Engineering Dalian Polytechnic University Dalian 116034 China The Hong Kong University of Science and Technology (Guangzhou) Guangzhou 511453 China College of Information and Electrical Engineering China Agricultural University Beijing 100083 China State Key Laboratory of Efficient Utilization of Agricultural Water Resources Beijing 100083 China IDEA Research International Digital Economy Academy Shenzhen 518057 China School of Computer Science National Pilot Software Engineering School Beijing University of Posts and Telecommunications Beijing 100876 China
Intelligent decision-making (IDM) is a cornerstone of artificial intelligence (AI) designed to automate or augment decision processes. Modern IDM paradigms integrate advanced frameworks to enable intelligent agents to... 详细信息
来源: 评论
Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection
arXiv
收藏 引用
arXiv 2022年
作者: Wan, Wei Hu, Shengshan Lu, Jianrong Yu Zhang, Leo Jin, Hai He, Yuanyuan School of Cyber Science and Engineering Huazhong University of Science and Technology China School of Computer Science and Technology Huazhong University of Science and Technology China National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Engineering Research Center on Big Data Security China Cluster and Grid Computing Lab School of Information Technology Deakin University Australia
Federated learning (FL) enables multiple clients to collaboratively train an accurate global model while protecting clients’ data privacy. However, FL is susceptible to Byzantine attacks from malicious participants. ... 详细信息
来源: 评论
DepGraph: A Dependency-Driven Accelerator for Efficient Iterative Graph Processing
DepGraph: A Dependency-Driven Accelerator for Efficient Iter...
收藏 引用
IEEE Symposium on High-Performance Computer Architecture
作者: Yu Zhang Xiaofei Liao Hai Jin Ligang He Bingsheng He Haikun Liu Lin Gu 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 University of Warwick United Kingdom National University of Singapore Singapore
Many graph processing systems have been recently developed for many-core processors. However, for iterative graph processing, due to the dependencies between vertices' states, the propagations of new states of ver... 详细信息
来源: 评论
Cross-links matter for link prediction: rethinking the debiased GNN from a data perspective  23
Cross-links matter for link prediction: rethinking the debia...
收藏 引用
Proceedings of the 37th International Conference on Neural Information Processing systems
作者: Zihan Luo Hong Huang Jianxun Lian Xiran Song Xing Xie Hai Jin National Engineering Research Center for Big Data Technology and System Service Computing Technology and Systems Laboratory Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China Microsoft Research Asia Beijing China
Recently, the bias-related issues in GNN-based link prediction have raised widely spread concerns. In this paper, we emphasize the bias on links across different node clusters, which we call cross-links, after conside...
来源: 评论
Local Information Guided Global Integration for Infrared Small Target Detection
Local Information Guided Global Integration for Infrared Sma...
收藏 引用
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Qiang Li Qianchen Mao Wenjie Liu Jinbao Wang Wenmin Wang Bingshu Wang School of Software Northwestern Polytechnical University Xi’an China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China Faculty of Innovation Engineering Macau University of Science and Technology Macau China
Infrared small targets often exhibit small scale and weak semantic features, which makes it a great challenge to their detection. To address this situation, we propose a novel network for infrared small target detecti...
来源: 评论
ACGraph: Accelerating Streaming Graph Processing via Dependence Hierarchy
ACGraph: Accelerating Streaming Graph Processing via Depende...
收藏 引用
Design Automation Conference
作者: Zihan Jiang Fubing Mao Yapu Guo Xu Liu Haikun Liu Xiaofei Liao Hai Jin Wei 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 Department of Electronic and Computer Engineering HKUST Hong Kong
Streaming graph processing needs to timely evaluate continuous queries. Prior systems suffer from massive redundant computations due to the irregular order of processing vertices influenced by updates. To address this...
来源: 评论
SSC- l0 : Sparse Subspace Clustering with the l0 Inequality Constraint  7th
SSC- l0 : Sparse Subspace Clustering with the l0 Inequality...
收藏 引用
7th Asian Conference on Pattern Recognition, ACPR 2023
作者: Wang, Yangbo Zhou, Jie Lin, Qingshui Lu, Jianglin Gao, Can National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen518060 China College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China SZU Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen518060 China Basic Teaching Department Liaoning Technical University Huludao125105 China College of Engineering Northeastern University BostonMA02115 United States
Self-expression learning methods often obtain a coefficient matrix to measure the similarity between pairs of samples. However, directly using all points to represent a fixed sample in a class under the self-expressio... 详细信息
来源: 评论
IBATree: A Novel Method for Interpretable Cancer Cell Diagnosis Using Information Bottleneck Attribution
IBATree: A Novel Method for Interpretable Cancer Cell Diagno...
收藏 引用
IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Muhammad Umair Raza Jie Chen Adil Nawaz Faisal Saeed Victor C.M. Leung Jianqiang Li Zhaoxia Wang College of Computer Science and Software Engineering Shenzhen University China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China Department of Gastroenterology Shenzhen Children’s Hospital China
Deep Neural Networks (DNNs) have demonstrated remarkable performance in classification and regression tasks on RGB-based pathological inputs. The network’s prediction mechanism must be interpretable to establish trus... 详细信息
来源: 评论