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471-480 订阅
排序:
Deep knn for medical image classification  23rd
Deep knn for medical image classification
收藏 引用
23rd International Conference on Medical Image computing and Computer-Assisted Intervention, MICCAI 2020
作者: Zhuang, Jiaxin Cai, Jiabin Wang, Ruixuan Zhang, Jianguo Zheng, Wei-Shi School of Data and Computer Science Sun Yat-sen University Guangzhou China Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China Key Laboratory of Machine Intelligence and Advanced Computing MOE Guangzhou China Pazhou Lab Guangzhou China
Human-level diagnostic performance from intelligent systems often depends on large set of training data. However, the amount of available data for model training may be limited for part of diseases, which would cause ... 详细信息
来源: 评论
Fabric4show: real-time vision system for fabric defect detection and post-processing
收藏 引用
visual Intelligence 2024年 第1期2卷 1-13页
作者: Lin, Huaizhou Cai, Dan Xu, Zengmin Wu, Jinsong Sun, Lixian Jia, Haibin School of Materials Science and Engineering Guangxi Key Laboratory of Information Guilin University of Electronic Technology Guilin China School of Mathematics and Computing Science Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation Guilin University of Electronic Technology Center for Applied Mathematics of Guangxi (GUET) Guilin China Anview.ai Guilin China School of Artificial Intelligence Guilin University of Electronic Technology Guilin China Department of Electrical Engineering University of Chile Santiago Chile
The exploration of computer vision applications for fabric defect detection has immense potential value. However, current relevant research in this area has primarily focused on detection models that aim for high dete... 详细信息
来源: 评论
SCESP: An Edge Server Placement Method Based on Spectral Clustering in Mobile Edge computing  8th
SCESP: An Edge Server Placement Method Based on Spectral Cl...
收藏 引用
8th International Conference on Artificial Intelligence and Security , ICAIS 2022
作者: Wang, Lijuan Guo, Yingya Yao, Jiangyuan Zhou, Siyu College of Computer and Data Science Fuzhou University Fuzhou350000 China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou350000 China Key Laboratory of Spatial Data Mining and Information Sharing Ministry of Education Fuzhou350003 China School of Computer Science and Cyberspace Security Hainan University Haikou570228 China Tandon School of Engineering New York University New York10012 United States
With the rapid development of Internet of Things (IoT) and 5G, mobile edge computing is gaining popularity for its low computation latency, bandwidth costs and energy consumption. In mobile edge computing, the placeme... 详细信息
来源: 评论
Local and Global Feature-Aware Dual-Branch Networks for Plant Disease Recognition
收藏 引用
植物表型组学(英文) 2024年 第4期6卷 828-840页
作者: Jianwu Lin Xin Zhang Yongbin Qin Shengxian Yang Xingtian Wen Tomislav Cernava Quirico Migheli Xiaoyulong Chen Text Computing & Cognitive Intelligence Engineering Research Center of National Education Ministry College of Computer Science and TechnologyGuizhou UniversityGuiyang 550025China State Key Laboratory of Public Big Data College of Computer Science and TechnologyGuizhou UniversityGuiyang 550025China College of Big Data and Information Engineering Guizhou UniversityGuiyang 550025China Guizhou-Europe Environmental Biotechnology and Agricultural Informatics Oversea Innovation Center in Guizhou University Guizhou Provincial Science and Technology DepartmentGuiyang 550025China Text Computing & Cognitive Intelligence Engineering Research Center of National Education Ministry College of Computer Science and TechnologyGuizhou UniversityGuiyang 550025China State Key Laboratory of Public Big Data College of Computer Science and TechnologyGuizhou UniversityGuiyang 550025China College of Big Data and Information Engineering Guizhou UniversityGuiyang 550025China Guizhou-Europe Environmental Biotechnology and Agricultural Informatics Oversea Innovation Center in Guizhou University Guizhou Provincial Science and Technology DepartmentGuiyang 550025China College of Big Data and Information Engineering Guizhou UniversityGuiyang 550025China School of Biological Sciences Faculty of Environmental and Life SciencesUniversity of SouthamptonSouthampton S017 1BJUK Dipartimento di Agraria and NRD-Nucleo di Ricerca sulla Desertificazione Università degli Studi di SassariSassariItaly Guizhou-Europe Environmental Biotechnology and Agricultural Informatics Oversea Innovation Center in Guizhou University Guizhou Provincial Science and Technology DepartmentGuiyang 550025China College of Life Sciences Guizhou UniversityGuiyang 550025China
Accurate identification of plant diseases is important for ensuring the safety of agricultural *** neural networks(CNNs)and visual transformers(VTs)can extract effective representations of images and have been widely ... 详细信息
来源: 评论
Synthesis of Decoherence-Free Modes in Linear Quantum Passive Systems via Robust Pole Placement
Synthesis of Decoherence-Free Modes in Linear Quantum Passiv...
收藏 引用
2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024
作者: Miao, Zibo Pan, Yu Gao, Qing School of Mechanical Engineering and Automation Adaptive Robotics Harbin Institute of Technology Guangdong Key Laboratory of Intelligent Morphing Mechanisms Shenzhen518055 China The Institute of Cyber-Systems and Control College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China The School of Automation Science and Electrical Engineering Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100191 China
In this paper we extend our previous research on coherent observer-based pole placement approach to study the synthesis of robust decoherence-free (DF) modes for linear quantum passive systems, which is aimed at prese... 详细信息
来源: 评论
CLDG: Contrastive Learning on Dynamic Graphs  39
CLDG: Contrastive Learning on Dynamic Graphs
收藏 引用
39th IEEE International Conference on data engineering, ICDE 2023
作者: Xu, Yiming Shi, Bin Ma, Teng Dong, Bo Zhou, Haoyi Zheng, Qinghua Xi'an Jiaotong University Department of Computer Science and Technology China Xi'an Jiaotong University Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering China Xi'an Jiaotong University Department of Distance Education China Beihang University School of Software China Beihang University Advanced Innovation Center for Big Data and Brain Computing China
The graph with complex annotations is the most potent data type, whose constantly evolving motivates further exploration of the unsupervised dynamic graph representation. One of the representative paradigms is graph c... 详细信息
来源: 评论
Investigating different syntactic context types and context representations for learning word embeddings
Investigating different syntactic context types and context ...
收藏 引用
2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017
作者: Li, Bofang Liu, Tao Zhao, Zhe Tang, Buzhou Drozd, Aleksandr Rogers, Anna Du, Xiaoyong School of Information Renmin University of China China Key Laboratory of Data Engineering and Knowledge Engineering MOE China Shenzhen Graduate School Harbin Institute of Technology China Global Scientific Information and Computing Center Tokyo Institute of Technology China Department of Computer Science University of Massachusetts Lowell United States
The number of word embedding models is growing every year. Most of them are based on the co-occurrence information of words and their contexts. However, it is still an open question what is the best definition of cont... 详细信息
来源: 评论
An Asymmetric Modeling for Action Assessment  1
收藏 引用
16th European Conference on Computer Vision, ECCV 2020
作者: Gao, Jibin Zheng, Wei-Shi Pan, Jia-Hui Gao, Chengying Wang, Yaowei Zeng, Wei Lai, Jianhuang School of Data and Computer Science Sun Yat-sen University Guangzhou China Peng Cheng Laboratory Shenzhen518005 China School of Electronics Engineering and Computer Science Peking University Beijing China Pazhou Lab Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou China
Action assessment is a task of assessing the performance of an action. It is widely applicable to many real-world scenarios such as medical treatment and sporting events. However, existing methods for action assessmen... 详细信息
来源: 评论
Aerial Active STAR-RIS-assisted Satellite-Terrestrial Covert Communications
arXiv
收藏 引用
arXiv 2025年
作者: Zhang, Chuang Sun, Geng Li, Jiahui Wang, Jiacheng Zhang, Ruichen Niyato, Dusit Mao, Shiwen Quek, Tony Q.S. Computer Science and Technology Jilin University Changchun130012 China Singapore University of Technology and Design Singapore487372 Singapore College of Computer Science and Technology Jilin University Changchun130012 China College of Computing and Data Science Nanyang Technological University Singapore639798 Singapore Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China Department of Electrical and Computer Engineering Auburn University AuburnAL36849 United States Information System Technology and Design Pillar Singapore University of Technology and Design Singapore487372 Singapore
An integration of satellites and terrestrial networks is crucial for enhancing performance of next generation communication systems. However, the networks are hindered by the long-distance path loss and security risks... 详细信息
来源: 评论
CAMG: Context-Aware Moment Graph Network for Multimodal Temporal Activity Localization via Language  12th
CAMG: Context-Aware Moment Graph Network for Multimodal Tem...
收藏 引用
12th National CCF Conference on Natural Language Processing and Chinese computing, NLPCC 2023
作者: Hu, Yuelin Xu, Yuanwu Zhang, Yuejie Feng, Rui Zhang, Tao Lu, Xuequan Gao, Shang School of Computer Science Shanghai Key Laboratory of Intelligent Information Processing Shanghai Collaborative Innovation Center of Intelligent Visual Computing Fudan University Shanghai200433 China School of Information Management and Engineering Shanghai Key Laboratory of Financial Information Technology Shanghai University of Finance and Economics Shanghai200433 China School of Information Technology Deakin University Waurn PondsVIC3216 Australia
Temporal Activity Localization via Language (TALL) is a challenging task for language based video understanding, especially when a video contains multiple moments of interest and the language query has words describin... 详细信息
来源: 评论