咨询与建议

限定检索结果

文献类型

  • 319 篇 期刊文献
  • 179 篇 会议

馆藏范围

  • 498 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 339 篇 工学
    • 253 篇 计算机科学与技术...
    • 225 篇 软件工程
    • 63 篇 信息与通信工程
    • 37 篇 生物工程
    • 27 篇 控制科学与工程
    • 24 篇 电气工程
    • 22 篇 光学工程
    • 22 篇 电子科学与技术(可...
    • 16 篇 化学工程与技术
    • 12 篇 仪器科学与技术
    • 10 篇 生物医学工程(可授...
    • 10 篇 网络空间安全
    • 9 篇 安全科学与工程
    • 8 篇 机械工程
    • 8 篇 环境科学与工程(可...
  • 177 篇 理学
    • 90 篇 数学
    • 60 篇 物理学
    • 41 篇 生物学
    • 40 篇 统计学(可授理学、...
    • 14 篇 化学
    • 13 篇 地球物理学
    • 8 篇 系统科学
  • 135 篇 管理学
    • 105 篇 图书情报与档案管...
    • 35 篇 管理科学与工程(可...
    • 15 篇 工商管理
  • 14 篇 医学
    • 12 篇 临床医学
    • 9 篇 基础医学(可授医学...
    • 7 篇 公共卫生与预防医...
  • 12 篇 法学
    • 10 篇 社会学
  • 8 篇 经济学
    • 8 篇 应用经济学
  • 4 篇 文学
  • 2 篇 教育学
  • 2 篇 军事学
  • 1 篇 艺术学

主题

  • 30 篇 semantics
  • 16 篇 deep learning
  • 13 篇 information retr...
  • 12 篇 training
  • 11 篇 generative adver...
  • 11 篇 graph neural net...
  • 9 篇 convolution
  • 9 篇 knowledge graph
  • 9 篇 forecasting
  • 8 篇 feature extracti...
  • 7 篇 learning systems
  • 7 篇 machine learning
  • 6 篇 reinforcement le...
  • 6 篇 task analysis
  • 6 篇 image segmentati...
  • 6 篇 computational li...
  • 6 篇 natural language...
  • 5 篇 surveys
  • 5 篇 big data
  • 5 篇 prototypes

机构

  • 150 篇 university of ch...
  • 81 篇 cas key lab of n...
  • 63 篇 cas key laborato...
  • 28 篇 cas key lab of n...
  • 24 篇 university of am...
  • 22 篇 cas key lab of n...
  • 21 篇 school of comput...
  • 17 篇 data intelligenc...
  • 12 篇 institute for ai...
  • 11 篇 key lab. of inte...
  • 11 篇 school of comput...
  • 11 篇 baidu inc
  • 10 篇 cas key laborato...
  • 10 篇 peng cheng labor...
  • 10 篇 zhejiang lab
  • 9 篇 institute of com...
  • 9 篇 tianjin key labo...
  • 8 篇 linke lab school...
  • 7 篇 cas key laborato...
  • 7 篇 institute of qua...

作者

  • 180 篇 cheng xueqi
  • 151 篇 guo jiafeng
  • 58 篇 zhang ruqing
  • 57 篇 fan yixing
  • 49 篇 lan yanyan
  • 43 篇 shen huawei
  • 30 篇 pang liang
  • 27 篇 jin xiaolong
  • 26 篇 bi keping
  • 22 篇 de rijke maarten
  • 22 篇 cao qi
  • 20 篇 xueqi cheng
  • 19 篇 xu jun
  • 18 篇 chen wei
  • 16 篇 li zixuan
  • 15 篇 guan saiping
  • 14 篇 bai long
  • 13 篇 sun xiaoming
  • 11 篇 liu yu-an
  • 10 篇 xiaolong jin

语言

  • 409 篇 英文
  • 86 篇 其他
  • 3 篇 中文
检索条件"机构=Cas Key Lab of Network Data Science and Technology"
498 条 记 录,以下是351-360 订阅
Blockchain Assisted Federated Learning over Wireless Channels: Dynamic Resource Allocation and Client Scheduling
arXiv
收藏 引用
arXiv 2021年
作者: Deng, Xiumei Li, Jun Ma, Chuan Wei, Kang Shi, Long Ding, Ming Chen, Wen Poor, H. Vincent The School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing210094 China Zhejiang Lab Hangzhou China Nanjing University of Science and Technology Key Laboratory of Computer Network and Information Integration Southeast University Ministry of Education China Data61 CSIRO KensingtonWA6152 Australia The Department of Electronics Engineering Shanghai Jiao Tong University Shanghai200240 China Department of Electrical and Computer Engineering Princeton University NJ08544 United States
The blockchain technology has been extensively studied to enable distributed and tamper-proof data processing in federated learning (FL). Most existing blockchain assisted FL (BFL) frameworks have employed a third-par... 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
Dynamic MCMC sampling
arXiv
收藏 引用
arXiv 2019年
作者: Feng, Weiming He, Kun Sun, Xiaoming Yin, Yitong State Key Laboratory for Novel Software Technology Nanjing University CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences Beijing China
The Markov chain Monte Carlo (MCMC) methods are the primary tools for sampling from Gibbs distributions arising by various graphical models, e.g. Markov random fields (MRF). Traditional MCMC sampling algorithms are fo... 详细信息
来源: 评论
SetRank: Learning a permutation-invariant ranking model for information retrieval
arXiv
收藏 引用
arXiv 2019年
作者: Pang, Liang Xu, Jun Ai, Qingyao Lan, Yanyan Cheng, Xueqi Wen, Jirong CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China Renmin University of China Beijing China University of Utah United States
In learning-to-rank for information retrieval, a ranking model is automatically learned from the data and then utilized to rank the sets of retrieved documents. Therefore, an ideal ranking model would be a mapping fro... 详细信息
来源: 评论
MMCGAN: Generative Adversarial network with explicit manifold prior
arXiv
收藏 引用
arXiv 2020年
作者: Zheng, Guanhua Sang, Jitao Xu, Changsheng University of Science and Technology of China School of Computer and Information Technology Beijing Key Laboratory of Traffic Data Analysis and Mining Beijing Jiaotong University Beijing100044 China National Lab of Pattern Recognition Institute of Automation CAS University of Chinese Academy of Sciences Beijing100190 China
Generative Adversarial network(GAN) provides a good generative framework to produce realistic samples, but suffers from two recognized issues as mode collapse and unstable training. In this work, we propose to employ ... 详细信息
来源: 评论
Cake cutting on graphs: A discrete and bounded proportional protocol
arXiv
收藏 引用
arXiv 2019年
作者: Bei, Xiaohui Sun, Xiaoming Wu, Hao Zhang, Jialin Zhang, Zhijie Zi, Wei School of Physical and Mathematical Sciences Nanyang Technological University CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences
The classical cake cutting problem studies how to find fair allocations of a heterogeneous and divisible resource among multiple agents. Two of the most commonly studied fairness concepts in cake cutting are proportio... 详细信息
来源: 评论
Meta Mask Correction for Nuclei Segmentation in Histopathological Image
Meta Mask Correction for Nuclei Segmentation in Histopatholo...
收藏 引用
IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Jiangbo Shi Chang Jia Zeyu Gao Tieliang Gong Chunbao Wang Chen Li National Engineering Lab for Big Data Analytics Xi’an Jiao tong University Xi’an Shaanxi China School of Computer Science and Technology Xi’an Jiao tong University Xi’an Shaanxi China Shaanxi Province Key Laboratory of Satellite and Terrestrial Network Tech.R&D Xi’an Jiao tong University Xi’an Shaanxi China the First Affiliated Hospital of Xi’an Jiaotong University Xi’an Shaanxi China
Nuclei segmentation is a fundamental task in digital pathology analysis and can be automated by deep learning-based methods. However, the development of such an automated method requires a large amount of data with pr... 详细信息
来源: 评论
Climatic and Biotic Controls of Evapotranspiration Across Grassland Ecosystems on Tibetan Plateau
SSRN
收藏 引用
SSRN 2023年
作者: Peng, Siyuan Yang, Yue Luo, Dengnan Zeng, Xiang Liang, Minqi Tao, Long Zhang, Guangru Li, Pan Liao, Weijie Guo, Qun Cao, Ruochen Li, Yuzhe Zhang, Weirong Hu, Zhongmin School of Geography South China Normal University Shipai Campus Guangzhou510631 China Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation School of Ecology and Environment Hainan University Haikou570228 China Center for Eco-Environment Restoration Engineering of Hainan Province Hainan University Haikou570228 China Facility of Geographical Science Beijing Normal University Beijing100875 China Zhuhai Branch of State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University Zhuhai519087 China School of Atmospheric Sciences Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle Sun Yat-sen University Guangdong Zhuhai510245 China Key Lab of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China College of Resources and Environment University of Chinese Academy of Sciences Beijing101408 China International Institute for Earth System Sciences Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing University Jiangsu210023 China Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources School of Geography and Ocean Science Nanjing University Jiangsu210023 China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China
Accurately quantifying spatiotemporal variations in evapotranspiration (ET) and its components on Tibetan Plateau (TP) is crucial for understanding the regional water cycle and energy balance. However, the determinant... 详细信息
来源: 评论
Signed graph attention networks
arXiv
收藏 引用
arXiv 2019年
作者: Huang, Junjie Shen, Huawei Hou, Liang Cheng, Xueqi CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China
Graph or network data is ubiquitous in the real world, including social networks, information networks, traffic networks, biological networks and various technical networks. The non-Euclidean nature of graph data pose... 详细信息
来源: 评论
XTQA: Span-Level Explanations for Textbook Question Answering
arXiv
收藏 引用
arXiv 2020年
作者: Ma, Jie Chai, Qi Liu, Jun Yin, Qingyu Wang, Pinghui Zheng, Qinghua Ministry of Education of Key Lab for Intelligent Networks and Network Security School of Cyber Science and Engineering Xi’an Jiaotong University Shaanxi Xi’an710049 China Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering The School of Computer Science and Technology Xi’an Jiaotong University Shaanxi Xi’an710049 China Amazon United States
Textbook Question Answering (TQA) is the task of correctly answering diagram or non-diagram questions given large multi-modal contexts consisting of abundant essays and diagrams. In real-world scenarios, an explainabl... 详细信息
来源: 评论