咨询与建议

限定检索结果

文献类型

  • 994 篇 期刊文献
  • 641 篇 会议

馆藏范围

  • 1,635 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,027 篇 工学
    • 673 篇 计算机科学与技术...
    • 572 篇 软件工程
    • 237 篇 信息与通信工程
    • 139 篇 电气工程
    • 100 篇 生物工程
    • 98 篇 电子科学与技术(可...
    • 90 篇 控制科学与工程
    • 73 篇 化学工程与技术
    • 70 篇 光学工程
    • 50 篇 仪器科学与技术
    • 49 篇 生物医学工程(可授...
    • 47 篇 机械工程
    • 47 篇 网络空间安全
    • 34 篇 材料科学与工程(可...
    • 31 篇 动力工程及工程热...
    • 29 篇 安全科学与工程
  • 619 篇 理学
    • 236 篇 数学
    • 222 篇 物理学
    • 139 篇 生物学
    • 86 篇 统计学(可授理学、...
    • 54 篇 地球物理学
    • 52 篇 化学
    • 31 篇 系统科学
  • 283 篇 管理学
    • 165 篇 图书情报与档案管...
    • 126 篇 管理科学与工程(可...
    • 45 篇 工商管理
  • 104 篇 医学
    • 72 篇 临床医学
    • 46 篇 基础医学(可授医学...
    • 27 篇 药学(可授医学、理...
  • 46 篇 农学
    • 27 篇 作物学
  • 40 篇 法学
  • 25 篇 经济学
  • 12 篇 文学
  • 10 篇 军事学
  • 6 篇 教育学
  • 2 篇 艺术学

主题

  • 70 篇 semantics
  • 47 篇 deep learning
  • 46 篇 feature extracti...
  • 41 篇 training
  • 39 篇 accuracy
  • 32 篇 quantum cryptogr...
  • 31 篇 computational mo...
  • 30 篇 federated learni...
  • 24 篇 privacy
  • 23 篇 neural networks
  • 20 篇 image segmentati...
  • 20 篇 forecasting
  • 20 篇 data models
  • 19 篇 graph neural net...
  • 19 篇 information retr...
  • 18 篇 generative adver...
  • 18 篇 knowledge graph
  • 18 篇 data mining
  • 16 篇 machine learning
  • 16 篇 correlation

机构

  • 204 篇 university of ch...
  • 80 篇 cas key lab of n...
  • 71 篇 shandong provinc...
  • 63 篇 cas key laborato...
  • 63 篇 key laboratory o...
  • 51 篇 school of comput...
  • 49 篇 network and data...
  • 47 篇 tianjin key labo...
  • 46 篇 shandong enginee...
  • 43 篇 college of compu...
  • 40 篇 cas key laborato...
  • 34 篇 college of cyber...
  • 34 篇 school of comput...
  • 30 篇 cas center for e...
  • 30 篇 shaanxi key labo...
  • 29 篇 hefei national l...
  • 26 篇 anhui province k...
  • 26 篇 cas key lab of n...
  • 25 篇 school of comput...
  • 24 篇 shaanxi key labo...

作者

  • 190 篇 cheng xueqi
  • 146 篇 guo jiafeng
  • 49 篇 zhang ruqing
  • 47 篇 fan yixing
  • 43 篇 shen huawei
  • 43 篇 lan yanyan
  • 32 篇 jin xiaolong
  • 28 篇 pang liang
  • 25 篇 guo guang-can
  • 24 篇 bi keping
  • 21 篇 de rijke maarten
  • 21 篇 wang zhongmin
  • 21 篇 cao qi
  • 20 篇 chen yanping
  • 18 篇 xu jun
  • 18 篇 jie tian
  • 17 篇 xueqi cheng
  • 17 篇 chen wei
  • 16 篇 qin zhen
  • 16 篇 liu jun

语言

  • 1,493 篇 英文
  • 108 篇 其他
  • 36 篇 中文
检索条件"机构=CAS Key Laboratory of Network Data Science and Technology"
1635 条 记 录,以下是381-390 订阅
排序:
Drug-Protein Interaction Prediction by Fusion of Attention and Graph Neural network  42
Drug-Protein Interaction Prediction by Fusion of Attention a...
收藏 引用
42nd Chinese Control Conference, CCC 2023
作者: Chen, Tianrui Tuo, Shouheng Feng, Zengyu School of Computer Science and Technology Xi'An University of Posts and Telecommunications Shaanxi Xi'an710121 China Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Shaanxi Xi'an710121 China Xi'An Key Laboratory of Big Data and Intelligent Computing Shaanxi Xi'an710121 China
The identification of drug-protein interactions (DTIs) is a critical step in drug development and repositioning. However, detecting these interactions using scientific methods presents a formidable challenge. Existing... 详细信息
来源: 评论
Optimal algorithm for profiling dynamic arrays with finite values  22
Optimal algorithm for profiling dynamic arrays with finite v...
收藏 引用
22nd International Conference on Extending database technology, EDBT 2019
作者: Yang, Dingcheng Yu, Wenjian Deng, Junhui Liu, Shenghua BNRist Dept. Computer Science and Tech. Tsinghua Univ. Beijing China CAS Key Lab. Network Data Science and Tech. Inst. Computing Technology Chinese Academy of Sciences Beijing China
How can one quickly answer the most and top popular objects at any time, given a large log stream in a system of billions of users? It is equivalent to find the mode and top-frequent elements in a dynamic array corres... 详细信息
来源: 评论
CLSDRL:A routing optimization method for traffic feature extraction
CLSDRL:A routing optimization method for traffic feature ext...
收藏 引用
2021 International Conference on networking and network Applications, NaNA 2021
作者: Xia, Hong Li, Jianguo Chen, Yanping Lv, Ning Wang, ZhongMin Dong, Qingyi Xi'an University of Posts and Telecommunications School of Computer Science and Technology Shaanxi Xi'an710121 China Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Shaanxi Xi'an710121 China Xi'an Key Laboratory of Big Data and Intelligent Computing Shaanxi Xi'an710121 China
In order to solve the impact of the temporal and spatial characteristics of traffic on network routing optimization, this paper proposes convolution long-short memory neural network deep reinforcement learning (CLSDRL... 详细信息
来源: 评论
LCS-based Visual Recognition for AGV Guide Paths under Complex Illumination Conditions  15
LCS-based Visual Recognition for AGV Guide Paths under Compl...
收藏 引用
15th International Conference on Measurement technology and Mechanical Automation, ICMTMA 2023
作者: Wang, Z.M. Li, M. Gao, C. Jin, X.M. School of Computer Science and Technology Xi'An University of Posts and Telecommunications Shaanxi Xi'an710121 China Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Shaanxi Xi'an710121 China Xi'An Key Laboratory of Big Data and Intelligent Computing Shaanxi Xi'an710121 China
Complex lighting is one of the most challenging problems in automatic guided vehicle (AGV) vision recognition system. In order to overcome the influence of uneven illumination on the accuracy and robustness of path re... 详细信息
来源: 评论
EagleMine: Vision-guided mining in large graphs
arXiv
收藏 引用
arXiv 2017年
作者: Feng, Wenjie Liu, Shenghua Faloutsos, Christos Hooi, Bryan Shen, Huawei Cheng, Xueqi Cas Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences School of Computer Science Carnegie Mellon University
Given a graph with millions of nodes, what patterns exist in the distributions of node characteristics, and how can we detect them and separate anomalous nodes in a way similar to human vision? In this paper, we propo... 详细信息
来源: 评论
User Information Enhanced Knowledge Graph Convolutional networks for Recommender Systems  14
User Information Enhanced Knowledge Graph Convolutional Netw...
收藏 引用
14th International Conference on Measuring technology and Mechatronics Automation, ICMTMA 2022
作者: Hao, Junyu Li, Xiaoge School of Computer Science and Technology Xi'an University of Posts and Telecommunications Shaanxi Xi'an71012 China Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Shaanxi Xi'an710121 China Xi'an Key laboratory of Big Data and Intelligent Computing Shaanxi Xi'an710121 China
To deeply excavate the information contained in user data and better alleviate cold start problem, we propose KGCN++, a user information enhanced knowledge graph convolutional networks model for recommender system, wh... 详细信息
来源: 评论
One Comment from One Perspective: An Effective Strategy for Enhancing Automatic Music Comment  28
One Comment from One Perspective: An Effective Strategy for ...
收藏 引用
28th International Conference on Computational Linguistics, COLING 2020
作者: Huo, Tengfei Liu, Zhiqiang Zhang, Jinchao Zhou, Jie CAS Key Lab of Network Data Science and Technology China Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences Beijing China Pattern Recognition Center WeChat AI Tencent Inc. China
The automatic generation of music comments is of great significance for increasing the popularity of music and the music platform’s activity. In human music comments, there exists high distinction and diverse perspec... 详细信息
来源: 评论
eGPS 1.0: comprehensive software for multi-omic and evolutionary analyses
收藏 引用
National science Review 2019年 第5期6卷 867-869页
作者: Dalang Yu Lili Dong Fangqi Yan Hailong Mu Bixia Tang Xiao Yang Tao Zeng Qing Zhou Feng Gao Zhonghuang Wang Ziqian Hao Hongen Kang Yi Zheng Hongwei Huang Yuzhang Wei Wei Pan Yaochen Xu Junwei Zhu Shilei Zhao Ciran Wang Pengyu Wang Long Dai Mushan Li Li Lan Yiwei Wang Hua Chen Yi-Xue Li Yun-Xin Fu Zhen Shao Yiming Bao Fangqing Zhao Luo-Nan Chen Guo-Qing Zhang Wenming Zhao Haipeng Li CAS Key Laboratory of Computational Biology CAS-MPG Partner Institute for Computational Biology Shanghai Institute of Nutrition and HealthShanghai Institutes for Biological SciencesUniversity of Chinese Academy of Sciences Chinese Academy of Sciences University of Chinese Academy of Sciences BIG Data Center Beijing Institute of GenomicsChinese Academy of Sciences Shanghai Center for Bioinformation Technology Key Laboratory of Systems Biology Center for Excellence in Molecular Cell Science Shanghai Institute of Biochemistry and Cell Biology Chinese Academy of Sciences Shanghai Institute of Biochemistry and Cell Biology Chinese Academy of Sciences CAS Laboratory of Genomic and Precision Medicine Beijing Institute of Genomics Chinese Academy of Sciences Center for Excellence in Animal Evolution and Genetics Chinese Academy of Sciences Department of Biostatistics and Data Science School of Public Health University of Texas Health Science Center at Houston Computational Genomics Lab Beijing Institutes of Life Science Chinese Academy of Sciences Shanghai Research Center for Brain Science and Brain-Inspired Intelligence
It has become increasingly challenging for researchers to analyze the exponentially expanding amount of multi-omic ***, we describe multi-functional software named evolutionary GenotypePhenotype Systems (eGPS) that en... 详细信息
来源: 评论
Microbiologically Influenced Corrosion Behavior of Fe_(40)(CoCrMnNi)_(60) and Fe_(60)(CoCrMnNi)_(40) Medium Entropy Alloys in the Presence of Pseudomonas Aeruginosa
收藏 引用
Acta Metallurgica Sinica(English Letters) 2023年 第3期36卷 379-390页
作者: Weiwei Chang Yangyang Li Huaibei Zheng Hongchang Qian Dawei Guo Shuyuan Zhang Yuntian Lou Chi Tat Kwok Lap Mou Tam Dawei Zhang National Materials Corrosion and Protection Data Center Institute for Advanced Materials and TechnologyUniversity of Science and Technology BeijingBeijing 100083China BRI Southeast Asia Network for Corrosion and Protection(MOE) Shunde Graduate School of University of Science and Technology BeijingFoshan 528399China State Key Laboratory of Metal Material for Marine Equipment and Application Anshan 114002China Department of Electromechanical Engineering University of MacaoMacao 999078China Institute for the Development and Quality Macao 999078China
In this work,the microbiologically influenced corrosion(MIC)of Fe_(40)(CoCrMnNi)_(60) and Fe_(60)(CoCrMnNi)_(40) medium entropy alloys(MEAs)induced by Pseudomonas aeruginosa(***)was *** behaviors during 14 days of imm... 详细信息
来源: 评论
OpenKN: An open knowledge computational engine for network big data
OpenKN: An open knowledge computational engine for network b...
收藏 引用
International Conference on Advances in Social network Analysis and Mining, ASONAM
作者: Yantao Jia Yuanzhuo Wang Xueqi Cheng Xiaolong Jin Jiafeng Guo CAS Key Laboratory of Network Data Science and Technology Chinese Academy of Sciences Beijing P. R. China
With the coming of the era of big data, it is most urgent to establish the knowledge computational engine for the purpose of discovering implicit and valuable knowledge from the huge, rapidly dynamic, and complex netw... 详细信息
来源: 评论