咨询与建议

限定检索结果

文献类型

  • 899 篇 期刊文献
  • 651 篇 会议
  • 1 册 图书

馆藏范围

  • 1,551 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,067 篇 工学
    • 764 篇 计算机科学与技术...
    • 653 篇 软件工程
    • 286 篇 信息与通信工程
    • 187 篇 电气工程
    • 153 篇 生物工程
    • 114 篇 控制科学与工程
    • 108 篇 生物医学工程(可授...
    • 101 篇 光学工程
    • 95 篇 电子科学与技术(可...
    • 60 篇 机械工程
    • 50 篇 化学工程与技术
    • 45 篇 交通运输工程
    • 44 篇 仪器科学与技术
    • 35 篇 网络空间安全
    • 30 篇 建筑学
    • 30 篇 安全科学与工程
    • 29 篇 土木工程
  • 580 篇 理学
    • 317 篇 数学
    • 170 篇 生物学
    • 119 篇 物理学
    • 110 篇 统计学(可授理学、...
    • 55 篇 化学
    • 46 篇 系统科学
  • 300 篇 管理学
    • 172 篇 管理科学与工程(可...
    • 141 篇 图书情报与档案管...
    • 70 篇 工商管理
  • 98 篇 医学
    • 90 篇 临床医学
    • 78 篇 基础医学(可授医学...
    • 56 篇 药学(可授医学、理...
  • 42 篇 法学
    • 34 篇 社会学
  • 24 篇 经济学
  • 19 篇 农学
  • 13 篇 教育学
  • 1 篇 军事学
  • 1 篇 艺术学

主题

  • 80 篇 semantics
  • 61 篇 feature extracti...
  • 43 篇 deep learning
  • 43 篇 training
  • 32 篇 data models
  • 31 篇 computational mo...
  • 29 篇 accuracy
  • 28 篇 convolution
  • 28 篇 federated learni...
  • 25 篇 machine learning
  • 24 篇 predictive model...
  • 23 篇 data mining
  • 22 篇 contrastive lear...
  • 21 篇 deep neural netw...
  • 20 篇 image segmentati...
  • 20 篇 neural networks
  • 19 篇 visualization
  • 18 篇 graph neural net...
  • 18 篇 robustness
  • 17 篇 codes

机构

  • 54 篇 shandong provinc...
  • 46 篇 shandong enginee...
  • 44 篇 key laboratory o...
  • 43 篇 college of compu...
  • 41 篇 national enginee...
  • 39 篇 beijing advanced...
  • 36 篇 school of cyber ...
  • 35 篇 school of comput...
  • 35 篇 college of compu...
  • 33 篇 nanyang technolo...
  • 33 篇 university of ch...
  • 28 篇 school of big da...
  • 27 篇 peng cheng labor...
  • 26 篇 hubei key labora...
  • 26 篇 national enginee...
  • 25 篇 hubei engineerin...
  • 24 篇 school of comput...
  • 23 篇 services computi...
  • 23 篇 cluster and grid...
  • 21 篇 college of compu...

作者

  • 68 篇 niyato dusit
  • 30 篇 jin hai
  • 22 篇 sun geng
  • 19 篇 shen linlin
  • 19 篇 hai jin
  • 18 篇 hu shengshan
  • 18 篇 wang jiacheng
  • 17 篇 huang qingming
  • 16 篇 liu ya-feng
  • 16 篇 xu qianqian
  • 15 篇 li jiahui
  • 15 篇 liu bin
  • 14 篇 huang sheng
  • 14 篇 zhang leo yu
  • 13 篇 chen yanping
  • 13 篇 cao xiaochun
  • 13 篇 li minghui
  • 12 篇 zhou ziqi
  • 12 篇 wang lihui
  • 12 篇 mingzhe chen

语言

  • 1,405 篇 英文
  • 125 篇 其他
  • 34 篇 中文
检索条件"机构=Key Laboratory of Data Engineering and Visual Computing"
1551 条 记 录,以下是441-450 订阅
排序:
Few-Shot Class-Incremental Semantic Segmentation via Pseudo-Labeling and Knowledge Distillation  4
Few-Shot Class-Incremental Semantic Segmentation via Pseudo-...
收藏 引用
4th International Conference on Information Science, Parallel and Distributed Systems, ISPDS 2023
作者: Jiang, Chengjia Wang, Tao Li, Sien Wang, Jinyang Wang, Shirui Antoniou, Antonios Minjiang University Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Fuzhou China Fujian Education Institutions Wuyi University The Key Laboratory of Cognitive Computing and Intelligent Information Processing Wuyishan China College of Computer and Data Science Fuzhou University Fuzhou China European University Cyprus Department of Computer Science and Engineering Nicosia Cyprus
We address the problem of learning new classes for semantic segmentation models from few examples, which is challenging because of the following two reasons. Firstly, it is difficult to learn from limited novel data t... 详细信息
来源: 评论
Oversampling Multi-Label data Based on Natural Neighbor and Label Correlation
SSRN
收藏 引用
SSRN 2023年
作者: Liu, Bin Zhou, Ao Wang, Jin Tsoumakas, Grigorios Key Laboratory of Data Engineering and Visual Computing School of Computer Science of Technology Chongqing University of Posts and Telecommunications Chongqing400065 China School of Informatics Aristotle University of Thessaloniki Thessaloniki54124 Greece
In multi-label learning, addressing the class imbalance issue is of paramount importance. Oversampling methods are preferred as they offer a more general solution independent of the model choice, i.e., they alleviate ... 详细信息
来源: 评论
Multilingual Knowledge Graph Completion via Multimodal Decouple and Relation-based Ensemble Inference  29
Multilingual Knowledge Graph Completion via Multimodal Decou...
收藏 引用
29th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2023
作者: Liu, Xiaojing Jiang, Xuesong Yi, Fengge Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan China Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan China
The objective of Multimodal Knowledge Graph Completion (MKGC) is to forecast absent entities within a knowledge graph by leveraging additional textual and visual modalities. Existing studies commonly utilize a singula... 详细信息
来源: 评论
Abnormality Detection in Chest X-Ray Images Using Uncertainty Prediction Autoencoders  23rd
Abnormality Detection in Chest X-Ray Images Using Uncertaint...
收藏 引用
23rd International Conference on Medical Image computing and Computer-Assisted Intervention, MICCAI 2020
作者: Mao, Yifan Xue, Fei-Fei Wang, Ruixuan Zhang, Jianguo Zheng, Wei-Shi Liu, Hongmei School of Data and Computer Science Sun Yat-sen University Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing MOE Guangzhou China Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China Pazhou Lab Guangzhou China Guangdong Province Key Laboratory of Information Security Technology Guangzhou China
Chest radiography is widely used in annual medical screening to check whether lungs are healthy or not. Therefore it would be desirable to develop an intelligent system to help clinicians automatically detect potentia... 详细信息
来源: 评论
A Distributed Framework for Large-scale Protein-protein Interaction data Analysis and Prediction Using MapReduce
收藏 引用
IEEE/CAA Journal of Automatica Sinica 2022年 第1期9卷 160-172页
作者: Lun Hu Shicheng Yang Xin Luo Huaqiang Yuan Khaled Sedraoui MengChu Zhou School of Computer Science and Technology Dongguan University of TechnologyDongguan 523808China School of Computer Science and Technology Wuhan University of TechnologyWuhan 430070China Chongqing Engineering Research Center of Big Data Application for Smart Cities and Chongqing Key Laboratory of Big Data and Intelligent ComputingChongqing Institute of Green and Intelligent TechnologyChinese Academy of SciencesChongqing 400714China Xinjiang Technical Institute of Physics and Chemistry Chinese Academy of SciencesUrumqi 830000China Center of Research Excellence in Renewable Energy and Power Systems and the Department of Electrical and Computer EngineeringFaculty of EngineeringKing Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewarkNJ 07102 USA
Protein-protein interactions are of great significance for human to understand the functional mechanisms of *** the rapid development of high-throughput genomic technologies,massive protein-protein interaction(PPI)dat... 详细信息
来源: 评论
M-DFCPP: A runtime library for multi-machine dataflow computing
M-DFCPP: A runtime library for multi-machine dataflow comput...
收藏 引用
作者: Luo, Qiuming Liu, Senhong Huang, Jinke Li, Jinrong College of Computer Science and Software Engineering Shenzhen University Shenzhen China SKT Group Guangdong Province Key Laboratory of Popular High-Performance Computers Shenzhen China SKT Group Guangdong Province Engineering Center of China-made High Performance Data Computing System Shenzhen China
This article designs and implements a runtime library for general dataflow programming, DFCPP (Luo Q, Huang J, Li J, Du Z. Proceedings of the 52nd International Conference on Parallel Processing Workshops. ACM;2023:14... 详细信息
来源: 评论
Container lifecycle-aware scheduling for serverless computing
Container lifecycle-aware scheduling for serverless computin...
收藏 引用
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
EdgeNN: Efficient Neural Network Inference for CPU-GPU Integrated Edge Devices
EdgeNN: Efficient Neural Network Inference for CPU-GPU Integ...
收藏 引用
International Conference on data engineering
作者: Chenyang Zhang Feng Zhang Kuangyu Chen Mingjun Chen Bingsheng He Xiaoyong Du Key Laboratory of Data Engineering and Knowledge Engineering (MOE) and School of Information Renmin University of China School of Computing National University of Singapore
With the development of the architectures and the growth of AIoT application requirements, data processing on edge has become popular. Neural network inference is widely employed for data analytics on edge devices. Th...
来源: 评论
Challenges in Chinese knowledge graph construction
Challenges in Chinese knowledge graph construction
收藏 引用
International Conference on data engineering Workshops
作者: Chengyu Wang Ming Gao Xiaofeng He Rong Zhang Shanghai Key Laboratory of Trustworthy Computing Data Science and Engineering Institute East China Normal University Shanghai China
The automatic construction of large-scale knowledge graphs has received much attention from both academia and industry in the past few years. Notable knowledge graph systems include Google Knowledge Graph, DBPedia, YA... 详细信息
来源: 评论
Intelligent Question and Answering System Based on SVM and Cosine Similarity
Intelligent Question and Answering System Based on SVM and C...
收藏 引用
2017 International Conference on Mathematics, Modelling and Simulation Technologies and Applications(MMSTA 2017)
作者: Wan-li SONG Wei-wei CHEN Ming-zhu ZHANG Key Laboratory of Trusted Cloud Computing and Big Data Analysis School of Information EngineeringNanjing Xiao Zhuang University
It is a tough task for teachers to answer all questions from students effectively and *** this paper,we design and implements an intelligent question answering system using Natural Language Processing,template classif... 详细信息
来源: 评论