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411-420 订阅
排序:
NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors
arXiv
收藏 引用
arXiv 2024年
作者: Zhou, Ziqi Li, Bowen Song, Yufei Yu, Zhifei Hu, Shengshan Wan, Wei Zhang, Leo Yu Yao, Dezhong Jin, Hai National Engineering Research Center for Big Data Technology and System China Services Computing Technology and System Lab China Cluster and Grid Computing Lab Hubei Engineering Research Center on Big Data Security China Hubei Key Laboratory of Distributed System Security China School of Computer Science and Technology Huazhong University of Science and Technology China School of Cyber Science and Engineering Huazhong University of Science and Technology China School of Information and Communication Technology Griffith University Australia
With the advancement of deep learning, object detectors (ODs) with various architectures have achieved significant success in complex scenarios like autonomous driving. Previous adversarial attacks against ODs have be... 详细信息
来源: 评论
Multi-Label Text Classification for Judicial Texts via Dual Graph and Label Feature Fusion  10
Multi-Label Text Classification for Judicial Texts via Dual ...
收藏 引用
10th IEEE Smart World Congress, SWC 2024
作者: Gu, Qiliang Lu, Qin Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Jinan China Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Industrial Network and Information System Security Jinan China
The legal judgement prediction (LJP) of judicial texts represents a multi-label text classification (MLTC) problem, which in turn involves three distinct tasks: the prediction of charges, legal articles, and terms of ... 详细信息
来源: 评论
Towards Lightweight Serverless computing via Unikernel as a Function
Towards Lightweight Serverless Computing via Unikernel as a ...
收藏 引用
International Workshop on Quality of Service
作者: Bo Tan Haikun Liu Jia Rao 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 The University of Texas at Arlington
Serverless computing, also known as “Function as a Service (FaaS)”, is emerging as an event-driven paradigm of cloud computing. In the FaaS model, applications are programmed in the form of functions that are execut... 详细信息
来源: 评论
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [Extended Abstract]
Matching Knowledge Graphs in Entity Embedding Spaces: An Exp...
收藏 引用
International Conference on data engineering
作者: Weixin Zeng Xiang Zhao Zhen Tan Jiuyang Tang Xueqi Cheng Laboratory for Big Data and Decision National University of Defense Technology China Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology China Institute of Computing Technology CAS China
Entity alignment (EA) identifies equivalent entities that locate in different knowledge graphs (KGs), and has attracted growing research interests over the last few years with the advancement of KG embedding technique... 详细信息
来源: 评论
DeepGATGO: A Hierarchical Pretraining-Based Graph-Attention Model for Automatic Protein Function Prediction
arXiv
收藏 引用
arXiv 2023年
作者: Li, Zihao Jiang, Changkun Li, Jianqiang College of Computer Science and Software Engineering Shenzhen University Shenzhen China National Engineering Lab for Big Data System Computing Technology Shenzhen University Shenzhen China
Automatic protein function prediction (AFP) is classified as a large-scale multi-label classification problem aimed at automating protein enrichment analysis to eliminate the current reliance on labor-intensive wet-la... 详细信息
来源: 评论
SC-GNN: A Communication-Efficient Semantic Compression for Distributed Training of GNNs  24
SC-GNN: A Communication-Efficient Semantic Compression for D...
收藏 引用
61st ACM/IEEE Design Automation Conference, DAC 2024
作者: Wang, Jihe Wu, Ying Wang, Danghui School of Computer Science Northwestern Polytechnical University Xi'an China Engineering Research Center of Embedded System Integration Ministry of Education Northwestern Polytechnical University Xi'an China National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology Northwestern Polytechnical University Xi'an China
Training big graph neural networks (GNNs) in distributed systems is quite time-consuming mainly because of the ubiquitous aggregate operations that involve a large amount of cross-partition communication for collectin... 详细信息
来源: 评论
Automatic Life Event Tree Generation for Older Adults  1
收藏 引用
24th International Conference on Human-Computer Interaction, HCII 2022
作者: Gui, Fang Wu, Xi Hu, Min Yang, Jiaoyun School of Computer Science and Information Engineering Hefei University of Technology Hefei China Key Laboratory of Knowledge Engineering with Big Data of Ministry of Education Hefei University of Technology Hefei China National Smart Eldercare International S&T Cooperation Base Hefei University of Technology Hefei China Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology Hefei China Intelligent Interconnected Systems Laboratory of Anhui Province Hefei University of Technology Hefei China
Studies have shown that learning personal stories could help provide individualized eldercare services. However, personal stories are often disordered because of the scattered collection, including informal interviews... 详细信息
来源: 评论
Gradient Boosting-Accelerated Evolution for Multiple-Fault Diagnosis
Gradient Boosting-Accelerated Evolution for Multiple-Fault D...
收藏 引用
Design, Automation and Test in Europe Conference and Exhibition
作者: Hongfei Wang Chenliang Luo Deqing Zou Hai Jin Wenjie Cai National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Wuhan China Hubei Engineering Research Center on Big Data Security Hubei Key Laboratory of Distributed System Security School of Cyber Science and Engineering Wuhan China Huazhong University of Science and Technology Wuhan China Cluster and Grid Computing Lab School of Computer Science and Technology Wuhan China College of Public Administration Wuhan China
Logic diagnosis is a key step in yield learning. Multiple faults diagnosis is challenging because of several reasons, including error masking, fault reinforcement, and huge search space for possible fault combinations... 详细信息
来源: 评论
DG-CNN:Introducing Margin Information into Convolutional Neural Networks for Breast Cancer Diagnosis in Ultrasound Images
收藏 引用
Journal of Computer Science & technology 2022年 第2期37卷 277-294页
作者: Xiao-Zheng Xie Jian-Wei Niu Senior Member Xue-Feng Liu Qing-Feng Li Yong Wang Jie Han Shaojie Tang State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang UniversityBeijing 100191China Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang UniversityHangzhou 310051China Department of Diagnostic Ultrasound National Cancer CenterChinese Academy of Medical SciencesPeking Union Medical CollegeBeijing 100021China Naveen Jindal School of Management The University of Texas at DallasRichardsonTX 75080-3021U.S.A.
Although using convolutional neural networks(CNNs)for computer-aided diagnosis(CAD)has made tremendous progress in the last few years,the small medical datasets remain to be the major bottleneck in this *** address th... 详细信息
来源: 评论
Personalizing search results using hierarchical RNN with query-aware attention
arXiv
收藏 引用
arXiv 2019年
作者: Ge, Songwei Dou, Zhicheng Jiang, Zhengbao Nie, Jian-Yun Wen, Ji-Rong School of Information Renmin University of China DIRO Université de Montréal Beijing Key Laboratory of Big Data Management and Analysis Methods National Engineering Laboratory of Big Data System Software Beijing Institute of Technology Key Laboratory of Data Engineering and Knowledge Engineering MOE
Search results personalization has become an effective way to improve the quality of search engines. Previous studies extracted information such as past clicks, user topical interests, query click entropy and so on to... 详细信息
来源: 评论