咨询与建议

限定检索结果

文献类型

  • 495 篇 期刊文献
  • 420 篇 会议

馆藏范围

  • 915 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 604 篇 工学
    • 452 篇 计算机科学与技术...
    • 369 篇 软件工程
    • 166 篇 信息与通信工程
    • 81 篇 生物工程
    • 73 篇 电气工程
    • 67 篇 控制科学与工程
    • 56 篇 电子科学与技术(可...
    • 45 篇 光学工程
    • 40 篇 生物医学工程(可授...
    • 33 篇 化学工程与技术
    • 27 篇 机械工程
    • 24 篇 仪器科学与技术
    • 19 篇 交通运输工程
    • 15 篇 网络空间安全
    • 14 篇 航空宇航科学与技...
  • 366 篇 理学
    • 181 篇 数学
    • 109 篇 物理学
    • 91 篇 生物学
    • 63 篇 统计学(可授理学、...
    • 35 篇 化学
    • 29 篇 系统科学
    • 19 篇 地球物理学
  • 194 篇 管理学
    • 117 篇 图书情报与档案管...
    • 85 篇 管理科学与工程(可...
    • 25 篇 工商管理
  • 47 篇 医学
    • 38 篇 临床医学
    • 33 篇 基础医学(可授医学...
    • 19 篇 药学(可授医学、理...
    • 14 篇 公共卫生与预防医...
  • 27 篇 法学
    • 22 篇 社会学
  • 10 篇 经济学
  • 9 篇 文学
  • 7 篇 农学
  • 5 篇 教育学

主题

  • 42 篇 semantics
  • 32 篇 training
  • 30 篇 feature extracti...
  • 29 篇 deep learning
  • 19 篇 knowledge graph
  • 19 篇 computational mo...
  • 17 篇 generative adver...
  • 16 篇 machine learning
  • 16 篇 information retr...
  • 15 篇 conferences
  • 15 篇 data models
  • 14 篇 data mining
  • 14 篇 graph neural net...
  • 14 篇 federated learni...
  • 12 篇 neural networks
  • 12 篇 privacy
  • 11 篇 convolution
  • 11 篇 accuracy
  • 11 篇 forecasting
  • 10 篇 big data

机构

  • 171 篇 university of ch...
  • 80 篇 cas key lab of n...
  • 62 篇 cas key laborato...
  • 43 篇 school of comput...
  • 34 篇 key laboratory o...
  • 31 篇 shandong provinc...
  • 26 篇 institute of com...
  • 21 篇 peng cheng labor...
  • 18 篇 data intelligenc...
  • 17 篇 school of cyber ...
  • 16 篇 institute of com...
  • 15 篇 beijing key labo...
  • 15 篇 key laboratory o...
  • 15 篇 cas key laborato...
  • 14 篇 cas center for e...
  • 14 篇 key laboratory o...
  • 13 篇 gansu provincial...
  • 12 篇 institute of art...
  • 12 篇 chongqing key la...
  • 12 篇 institute for ai...

作者

  • 151 篇 cheng xueqi
  • 108 篇 guo jiafeng
  • 48 篇 lan yanyan
  • 42 篇 shen huawei
  • 34 篇 jin xiaolong
  • 34 篇 fan yixing
  • 30 篇 pang liang
  • 28 篇 zhang ruqing
  • 22 篇 xu jun
  • 22 篇 cao qi
  • 21 篇 huang qingming
  • 20 篇 bai long
  • 19 篇 li zixuan
  • 19 篇 guan saiping
  • 18 篇 xu qianqian
  • 17 篇 xueqi cheng
  • 14 篇 sun xiaoming
  • 12 篇 niyato dusit
  • 11 篇 hu bin
  • 11 篇 yang zhiyong

语言

  • 852 篇 英文
  • 54 篇 其他
  • 15 篇 中文
检索条件"机构=CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology"
915 条 记 录,以下是401-410 订阅
排序:
Adaptive information seeking for open-domain question answering
arXiv
收藏 引用
arXiv 2021年
作者: Zhu, Yunchang Pang, Liang Lan, Yanyan Shen, Huawei Cheng, Xueqi Data Intelligence System Research Center CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences Institute for AI Industry Research Tsinghua University
Information seeking is an essential step for open-domain question answering to efficiently gather evidence from a large corpus. Recently, iterative approaches have been proven to be effective for complex questions, by... 详细信息
来源: 评论
Universal logical operations with a dynamical qubit in Floquet code
arXiv
收藏 引用
arXiv 2025年
作者: Sun, Xuandong Li, Longcheng Wu, Zhiyi Guo, Zechen Huang, Peisheng Huang, Wenhui Li, Qixian Liang, Yongqi Liu, Yiting Sun, Daxiong Wang, Zilin Xie, Changrong Xiong, Yuzhe Yang, Xiaohan Zhang, Jiajian Zhang, Jiawei Zhang, Libo Zhang, Zihao Guo, Weijie Jiang, Ji Liu, Song Linpeng, Xiayu Niu, Jingjing Qiu, Jiawei Ren, Wenhui Tao, Ziyu Yuan, Yuefeng Zhou, Yuxuan Chu, Ji Zhong, Youpeng Sun, Xiaoming Yu, Dapeng Shenzhen Institute for Quantum Science and Engineering Southern University of Science and Technology Shenzhen518055 China International Quantum Academy Shenzhen518048 China Guangdong Provincial Key Laboratory of Quantum Science and Engineering Southern University of Science and Technology Shenzhen518055 China Institute of Computing Technology Chinese Academy of Sciences Beijing China CAS Center for Excellence in Topological Quantum Computation University of Chinese Academy of Sciences Beijing China School of Physics Peking University Beijing100871 China School of Physics Ningxia University Yinchuan750021 China Shenzhen Branch Hefei National Laboratory Shenzhen518048 China
Quantum error correction (QEC) protects quantum systems against inevitable noises and control inaccuracies, providing a pathway towards fault-tolerant (FT) quantum computation. However, the significant overhead of phy... 详细信息
来源: 评论
Efficient and Error-Resilient data Access Protocols for a Limited-Sized Quantum Random Access Memory
arXiv
收藏 引用
arXiv 2023年
作者: Chen, Zhao-Yun Xue, Cheng Wang, Yun-Jie Sun, Tai-Ping Liu, Huan-Yu Zhuang, Xi-Ning Dou, Meng-Han Zou, Tian-Rui Fang, Yuan Wu, Yu-Chun Guo, Guo-Ping Institute of Artificial Intelligence Hefei Comprehensive National Science Center Anhui Hefei230088 China Institute of the Advanced Technology University of Science and Technology of China Anhui Hefei230088 China CAS Key Laboratory of Quantum Information University of Science and Technology of China Anhui Hefei230026 China CAS Center For Excellence in Quantum Information and Quantum Physics University of Science and Technology of China Anhui Hefei230026 China Hefei National Laboratory Anhui Hefei230088 China Origin Quantum Computing Company Limited Anhui Hefei230026 China Institute of Artificial Intelligence Hefei Comprehensive National Science Center Anhui Hefei230026 China
Quantum Random Access Memory (QRAM) is a critical component for loading classical data into quantum computers. While constructing a practical QRAM presents several challenges, including the impracticality of an infini... 详细信息
来源: 评论
Geometry Interaction Knowledge Graph Embeddings
arXiv
收藏 引用
arXiv 2022年
作者: Cao, Zongsheng Xu, Qianqian Yang, Zhiyong Cao, Xiaochun Huang, Qingming State Key Laboratory of Information Security Institute of Information Engineering CAS Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing China Peng Cheng Laboratory Shenzhen China
Knowledge graph (KG) embeddings have shown great power in learning representations of entities and relations for link prediction tasks. Previous work usually embeds KGs into a single geometric space such as Euclidean ... 详细信息
来源: 评论
ER: Equivariance Regularizer for Knowledge Graph Completion
arXiv
收藏 引用
arXiv 2022年
作者: Cao, Zongsheng Xu, Qianqian Yang, Zhiyong Huang, Qingming State Key Laboratory of Information Security Institute of Information Engineering CAS Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing China Peng Cheng Laboratory Shenzhen China
Tensor factorization and distanced based models play important roles in knowledge graph completion (KGC). However, the relational matrices in KGC methods often induce a high model complexity, bearing a high risk of ov... 详细信息
来源: 评论
Lightweight Task-Oriented Semantic Communication Empowered by Large-Scale AI Models
收藏 引用
IEEE Transactions on Vehicular technology 2025年
作者: Liu, Chuanhong Guo, Caili Yang, Yang Chen, Mingzhe Quek, Tony Q. S. Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing100876 China Beijing University of Posts and Telecommunications Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing100876 China University of Miami Department of Electrical and Computer Engineering Institute for Data Science and Computing Coral GablesFL United States Singapore University of Technology and Design Dept. of Information Systems Technology and Design 487372 Singapore
Recent studies have focused on leveraging large-scale artificial intelligence (LAI) models to improve semantic representation and compression capabilities. However, the substantial computational demands of LAI models ... 详细信息
来源: 评论
Adversarial U-network for Predicting Blood Oxygen Level-Dependent Time Series
Adversarial U-Network for Predicting Blood Oxygen Level-Depe...
收藏 引用
IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Cong Bao Weihao Zheng Qin Zhang Songyu Yang Zhijun Yao Bin Hu Gansu Provincial Key Laboratory of Wearable Computing School of Information Science and Engineering Lanzhou University Lanzhou China School of Medical Technology Beijing Institute of Technology Beijing China CAS Center for Excellence in Brain Science and Intelligence Technology Shanghai Institutes for Biological Sciences Chinese Academy of Sciences Shanghai China Chinese Academy of Sciences Joint Research Center for Cognitive Neurosensor Technology of Lanzhou University & Institute of Semiconductors Lanzhou China
Functional magnetic resonance imaging (fMRI) plays a vital role in brain science as it measures and maps brain activity through the analysis of blood flow changes, offering valuable insights into cognitive functions a...
来源: 评论
Match-ignition: Plugging PageRank into transformer for long-form text matching
arXiv
收藏 引用
arXiv 2021年
作者: Pang, Liang Lan, Yanyan Cheng, Xueqi Data Intelligence System Research Center Institute of Computing Technology Chinese Academy of Sciences Beijing China Institute for AI Industry Research Tsinghua University Beijing China CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China
Neural text matching models have been widely used in community question answering, information retrieval, and dialogue. However, these models designed for short texts cannot well address the long-form text matching pr...
来源: 评论
A Novel Duo-Stage driven Deep Neural network Approach for Mitigating Electrode Shift Impact on Myoelectric Pattern Recognition Systems
A Novel Duo-Stage driven Deep Neural Network Approach for Mi...
收藏 引用
IEEE International Workshop on Medical Measurement and Applications (MEMEA)
作者: Frank Kulwa Oluwarotimi Williams Samuel Mojisola Grace Asogbon Tolulope Tofunmi Oyemakinde Olumide Olayinka Obe Guanglin Li CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen Institute of Advanced Technology (SIAT) Chinese Academy of Sciences (CAS) Shenzhen Guangdong China Shenzhen College of Advanced Technology University of Chinese Academy of Sciences Shenzhen Guangdong China School of Computing and Engineering University of Derby Derby United Kingdom Department of Computer Science Federal University of Technology Akure Nigeria
A major barrier to the commercialization of pattern recognition (PR)-based myoelectric prostheses is the lack of robustness to confounding factors such as electrode shift which has been lingering for years. To overcom...
来源: 评论
Fine-Grained Access Control with Privacy-Preserving data Retrieval for Cloud-Assisted IoV
收藏 引用
IEEE Transactions on Vehicular technology 2025年
作者: Li, Wenchao Xia, Chunhe Yang, Simiao Wang, Kangming Huang, Guotao Huang, Luqi Guo, Fuchun Susilo, Willy Wang, Tianbo Beihang University School of Cyber Science and Technology Beijing100191 China University of Wollongong School of Computing and Information Technology Institute of Cybersecurity and Cryptology WollongongNSW2522 Australia Beihang University Beijing Key Laboratory of Network Technology Beijing100191 China Guangxi Normal University Guangxi Collab. Innovation Center of Multi-source Information Integration and Intelligent Processing Guilin541004 China Beihang University Sino-French Engineer School Beijing100191 China Beihang University Computer Science and Engineering School Beijing100191 China
In addition to the autonomous driving technology of single vehicles, the inter-group control algorithm serving the data sharing of multi-vehicle cooperative driving has also attracted widespread attention. To ensure s... 详细信息
来源: 评论