咨询与建议

限定检索结果

文献类型

  • 951 篇 期刊文献
  • 712 篇 会议
  • 1 册 图书

馆藏范围

  • 1,664 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,129 篇 工学
    • 808 篇 计算机科学与技术...
    • 671 篇 软件工程
    • 305 篇 信息与通信工程
    • 201 篇 电气工程
    • 153 篇 生物工程
    • 134 篇 控制科学与工程
    • 106 篇 生物医学工程(可授...
    • 104 篇 光学工程
    • 100 篇 电子科学与技术(可...
    • 61 篇 机械工程
    • 52 篇 化学工程与技术
    • 47 篇 仪器科学与技术
    • 47 篇 交通运输工程
    • 38 篇 网络空间安全
    • 35 篇 建筑学
    • 34 篇 土木工程
    • 33 篇 安全科学与工程
  • 606 篇 理学
    • 330 篇 数学
    • 173 篇 生物学
    • 130 篇 物理学
    • 113 篇 统计学(可授理学、...
    • 59 篇 化学
    • 45 篇 系统科学
  • 318 篇 管理学
    • 185 篇 管理科学与工程(可...
    • 150 篇 图书情报与档案管...
    • 75 篇 工商管理
  • 103 篇 医学
    • 95 篇 临床医学
    • 77 篇 基础医学(可授医学...
    • 56 篇 药学(可授医学、理...
  • 44 篇 法学
    • 35 篇 社会学
  • 25 篇 经济学
  • 19 篇 农学
  • 18 篇 教育学
  • 1 篇 军事学
  • 1 篇 艺术学

主题

  • 85 篇 semantics
  • 69 篇 feature extracti...
  • 49 篇 training
  • 48 篇 deep learning
  • 38 篇 federated learni...
  • 36 篇 computational mo...
  • 36 篇 accuracy
  • 32 篇 data models
  • 30 篇 convolution
  • 28 篇 contrastive lear...
  • 25 篇 data mining
  • 25 篇 machine learning
  • 24 篇 predictive model...
  • 21 篇 deep neural netw...
  • 21 篇 image segmentati...
  • 21 篇 neural networks
  • 21 篇 visualization
  • 21 篇 robustness
  • 20 篇 measurement
  • 19 篇 optimization

机构

  • 59 篇 college of compu...
  • 55 篇 key laboratory o...
  • 54 篇 shandong provinc...
  • 52 篇 shandong enginee...
  • 51 篇 national enginee...
  • 39 篇 beijing advanced...
  • 39 篇 school of cyber ...
  • 37 篇 school of comput...
  • 37 篇 university of ch...
  • 34 篇 college of compu...
  • 31 篇 nanyang technolo...
  • 31 篇 school of big da...
  • 29 篇 national enginee...
  • 28 篇 college of compu...
  • 28 篇 hubei key labora...
  • 27 篇 peng cheng labor...
  • 27 篇 hubei engineerin...
  • 26 篇 services computi...
  • 26 篇 school of comput...
  • 25 篇 cluster and grid...

作者

  • 75 篇 niyato dusit
  • 31 篇 jin hai
  • 24 篇 shen linlin
  • 23 篇 sun geng
  • 22 篇 hai jin
  • 20 篇 hu shengshan
  • 20 篇 wang jiacheng
  • 17 篇 huang qingming
  • 16 篇 xu qianqian
  • 16 篇 liu bin
  • 15 篇 zhang leo yu
  • 15 篇 li jiahui
  • 15 篇 liu ya-feng
  • 14 篇 huang sheng
  • 14 篇 zhou ziqi
  • 13 篇 cao xiaochun
  • 13 篇 du hongyang
  • 13 篇 li minghui
  • 12 篇 wang jinbao
  • 12 篇 wang lihui

语言

  • 1,241 篇 英文
  • 403 篇 其他
  • 34 篇 中文
检索条件"机构=The Key Laboratory of Data Engineering and Visual Computing"
1664 条 记 录,以下是1291-1300 订阅
Probabilistic methods for approximate archetypal analysis
arXiv
收藏 引用
arXiv 2021年
作者: Han, Ruijian Osting, Braxton Wang, Dong Xu, Yiming Department of Statistics The Chinese University of Hong Kong Hong Kong Department of Mathematics University of Utah Salt Lake City United States School of Science and Engineering The Chinese University of Hong Kong Shenzhen China Guangdong Provincial Key Laboratory of Big Data Computing The Chinese University of Hong Kong Shenzhen China Scientific Computing and Imaging Institute University of Utah Salt Lake City United States
Archetypal analysis is an unsupervised learning method for exploratory data analysis. One major challenge that limits the applicability of archetypal analysis in practice is the inherent computational complexity of th... 详细信息
来源: 评论
Label-consistency based graph neural networks for semi-supervised node classification
arXiv
收藏 引用
arXiv 2020年
作者: Xu, Bingbing Huang, Junjie Hou, Liang Shen, Huawei Gao, Jinhua Cheng, Xueqi CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences China School of Computer and Control Engineering University of Chinese Academy of Sciences China
Graph neural networks (GNNs) achieve remarkable success in graph-based semi-supervised node classification, leveraging the information from neighboring nodes to improve the representation learning of target node. The ... 详细信息
来源: 评论
Analysis of 5G academic Network based on graph representation learning method
arXiv
收藏 引用
arXiv 2021年
作者: Li, Xiaoming Xu, Guangquan Yu, Wei Jiao, Pengfei Song, Xiangyu Zhejiang Yuexiu University of Foreign Languages School of International Business Shaoxing China Shaoxing Key Laboratory of Intelligent Monitoring and Prevention of Smart City Shaoxing China School of Big Data School of Big Data Qingdao Huanghai University Qingdao China College of Intelligence and Computing Tianjin University Tianjin China School of IT Faculty of Science Engineering and Built Environment Deakin University GeelongVIC3220 Australia
With the rapid development of 5th Generation Mobile Communication Technology (5G), the diverse forms of collaboration and extensive data in academic social networks constructed by 5G papers make the management and ana... 详细信息
来源: 评论
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning
arXiv
收藏 引用
arXiv 2022年
作者: Ma, Chuan Li, Jun Wei, Kang Liu, Bo Ding, Ming Yuan, Long Han, Zhu Poor, H. Vincent Zhejiang Laboratory Hangzhou311121 China Key Laboratory of Computer Network and Information Integration Southeast University Ministry of Education China The School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing210096 China The Department of Computing Hong Kong Polytechnic University 999077 Hong Kong The University of Technology SydneyNSW2007 Australia Data61 CSIRO NSW2015 Australia The School of Computer Science Nanjing University of Science and Technology Nanjing210096 China The Department of Electrical and Computer Engineering The University of Houston HoustonTX77004 United States Department of Computer Science and Engineering Kyung Hee University Seoul Korea Republic of The Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States
Motivated by the advancing computational capacity of distributed end-user equipment (UE), as well as the increasing concerns about sharing private data, there has been considerable recent interest in machine learning ... 详细信息
来源: 评论
Three Branch net Lane Detection on Complex Road Conditions
Three Branch net Lane Detection on Complex Road Conditions
收藏 引用
IEEE International Conference on Systems, Man and Cybernetics
作者: Qiaosong Chen Zhixiang Wang Baijun Long Xiaoxu Sui Meng Zhang Xin Deng Jin Wang Key Laboratory of Data Engineering and Visual Computing Chongqing University of Posts and Telecommunications Chongqing China Streamax AI Lab Streamax Chongqing China
Lane detection task is the most necessary part in modern intelligent driving technology. However, there still have many challenge need to be conquered. In this paper, we proposed a three-branch neural network, in this... 详细信息
来源: 评论
Improving Object Detection of Remotely Sensed Multispectral Imagery Via Pan-sharpening  2020
Improving Object Detection of Remotely Sensed Multispectral ...
收藏 引用
Proceedings of the 2020 9th International Conference on computing and Pattern Recognition
作者: Feng Chen Shenlong Lou Yuejun Song College of Computer and Information Engineering Xiamen University of Technology Big Data Institute of Digital Natural Disaster Monitoring in Fujian Xiamen University of Technology Xiamen China and Fujian Key Laboratory of Sensing and Computing for Smart Cities School of Informatics Xiamen University Xiamen China UNISOC Pudong New Area Shanghai China Jiangxi Key Laboratory of Soil Erosion and Prevention Jiangxi Institute of Soil and Water Conservation Nanchang Jiangxi Province China
Pan-sharpening is used to fuse multispectral images with low spatial resolution and a panchromatic (Pan) image with high spatial resolution to generate synthesized images featured with high spatial and multispectral p... 详细信息
来源: 评论
Non-invasive biopsy diagnosis of diabetic kidney disease via deep learning applied to retinal images: a population-based study
收藏 引用
The Lancet Digital Health 2025年 第5期7卷 100868页
作者: Meng, Ziyao Guan, Zhouyu Yu, Shujie Wu, Yilan Zhao, Yaoning Shen, Jie Lim, Cynthia Ciwei Chen, Tingli Yang, Dawei Ran, An Ran He, Feng Hamzah, Haslina Singh, Sarkaaj Abd Raof, Anis Syazwani Lee-Boey, Jian Wen Samuel Lim, Soo-Kun Sun, Xufang Ge, Shuwang Xu, Gang Su, Hua Cheng, Yang Lu, Feng Liao, Xiaofei Jin, Hai Deng, Chenxin Ruan, Lei Zhang, Cuntai Wu, Chan Dai, Rongping Jin, Yixiao Wang, Wenxiao Li, Tingyao Liu, Ruhan Li, Jiajia Shu, Jia Lu, Yuwei Wang, Xiangning Wu, Qiang Qin, Yiming Tang, Jin Sheng, Xiaohua Jiao, Qiong Yang, Xiaokang Guo, Minyi McKay, Gareth J Hogg, Ruth E Liew, Gerald Chee, Evelyn Yi Lyn Hsu, Wynne Lee, Mong Li Szeto, Simon Luk, Andrea O Y Chan, Juliana C N Cheung, Carol Y Tan, Gavin Siew Wei Tham, Yih-Chung Cheng, Ching-Yu Sabanayagam, Charumathi Lim, Lee-Ling Jia, Weiping Li, Huating Sheng, Bin Wong, Tien Yin Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases Department of Computer Science and Engineering School of Electronic Information and Electrical Engineering Institute for Proactive Healthcare Shanghai Jiao Tong University Department of Endocrinology and Metabolism Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai Diabetes Institute Shanghai Clinical Centre for Diabetes Shanghai Key Laboratory of Diabetes Mellitus Shanghai China MOE Key Laboratory of AI School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Beijing Tsinghua Changgung Hospital Eye Center School of Clinical Medicine Tsinghua Medicine Tsinghua University Beijing China Medical Records and Statistics Office Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai China Department of Renal Medicine Singapore General Hospital SingHealth-Duke Academic Medical Centre Singapore Singapore Department of Ophthalmology Shanghai Health and Medical Center Wuxi China Department of Ophthalmology and Visual Sciences The Chinese University of Hong Kong Hong Kong Special Administrative Region China Singapore Eye Research Institute Singapore National Eye Centre Singapore Department of Medicine Faculty of Medicine Universiti Malaya Kuala Lumpur Malaysia Department of Ophthalmology Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Hubei Wuhan China Department of Nephrology Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China Department of Nephrology Union Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China Department of Ophthalmology Union Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China National Engineering Research Centre for Big Dat
Background: Improving the accessibility of screening diabetic kidney disease (DKD) and differentiating isolated diabetic nephropathy from non-diabetic kidney disease (NDKD) are two major challenges in the field of dia... 详细信息
来源: 评论
Graph wavelet neural network  7
Graph wavelet neural network
收藏 引用
7th International Conference on Learning Representations, ICLR 2019
作者: Xu, Bingbing Shen, Huawei Cao, Qi Qiu, Yunqi Cheng, Xueqi CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing China
We present graph wavelet neural network (GWNN), a novel graph convolutional neural network (CNN), leveraging graph wavelet transform to address the shortcomings of previous spectral graph CNN methods that depend on gr... 详细信息
来源: 评论
Graph classification based on skeleton and component features
arXiv
收藏 引用
arXiv 2021年
作者: Liu, Xue Wei, Wei Feng, Xiangnan Cao, Xiaobo Sun, Dan Beijing System Design Institute of Electro-Mechanic Engineering Beijing100854 China School of Mathematical Sciences Beihang University Beijing100191 China Key Laboratory of Mathematics Informatics and Behavioral Semantics Ministry of Education 100191 China Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100191 China Peng Cheng Laboratory Shenzhen Guangdong518066 China
Most existing popular methods for learning graph embedding only consider fixed-order global structural features and lack structures hierarchical representation. To address this weakness, we propose a novel graph embed... 详细信息
来源: 评论
Adaptive feature selection with weighted fuzzy rough sets for noisy data
收藏 引用
Fuzzy Sets and Systems 2025年 518卷
作者: Xiaoling Yang Hongmei Chen Tianrui Li Shan Feng Jihong Wan Yiyu Yao School of Mathematical Sciences Sichuan Normal University China School of Computing and Artificial Intelligence Southwest Jiaotong University China Department of Computer Science University of Regina Regina Canada National Engineering Laboratory of Integrated Transportation Big Data Application Technology Southwest Jiaotong University China Manufacturing Industry Chains Collaboration and Information Support Technology Key Laboratory of Sichuan Province Southwest Jiaotong University China
The existence of noise in data may decrease the performance of the classification model. An intuitive assumption suggests that samples with a higher local density have a greater probability of being correctly classifi... 详细信息
来源: 评论