咨询与建议

限定检索结果

文献类型

  • 988 篇 期刊文献
  • 794 篇 会议
  • 1 册 图书

馆藏范围

  • 1,783 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,148 篇 工学
    • 722 篇 计算机科学与技术...
    • 492 篇 软件工程
    • 193 篇 电子科学与技术(可...
    • 166 篇 信息与通信工程
    • 105 篇 控制科学与工程
    • 94 篇 电气工程
    • 89 篇 核科学与技术
    • 86 篇 光学工程
    • 83 篇 生物工程
    • 79 篇 机械工程
    • 71 篇 动力工程及工程热...
    • 50 篇 材料科学与工程(可...
    • 43 篇 化学工程与技术
    • 38 篇 生物医学工程(可授...
    • 37 篇 仪器科学与技术
    • 33 篇 建筑学
    • 30 篇 土木工程
    • 22 篇 力学(可授工学、理...
  • 744 篇 理学
    • 427 篇 物理学
    • 247 篇 数学
    • 96 篇 生物学
    • 59 篇 统计学(可授理学、...
    • 57 篇 系统科学
    • 52 篇 化学
  • 196 篇 管理学
    • 147 篇 管理科学与工程(可...
    • 59 篇 图书情报与档案管...
    • 41 篇 工商管理
  • 41 篇 医学
    • 34 篇 临床医学
    • 30 篇 基础医学(可授医学...
  • 21 篇 法学
  • 18 篇 经济学
  • 10 篇 农学
  • 6 篇 军事学
  • 4 篇 教育学
  • 3 篇 文学
  • 2 篇 哲学
  • 2 篇 艺术学

主题

  • 111 篇 hadron colliders
  • 75 篇 computer archite...
  • 41 篇 laboratories
  • 39 篇 hardware
  • 33 篇 computational mo...
  • 33 篇 delay
  • 31 篇 higgs bosons
  • 31 篇 training
  • 29 篇 w & z bosons
  • 29 篇 deep learning
  • 29 篇 circuit faults
  • 25 篇 semantics
  • 24 篇 benchmarking
  • 23 篇 bandwidth
  • 23 篇 wireless sensor ...
  • 23 篇 costs
  • 21 篇 quantum cryptogr...
  • 21 篇 energy efficienc...
  • 20 篇 neural networks
  • 20 篇 top quark

机构

  • 208 篇 state key labora...
  • 191 篇 yerevan physics ...
  • 162 篇 university of ch...
  • 151 篇 centro brasileir...
  • 150 篇 national and kap...
  • 150 篇 istanbul technic...
  • 149 篇 university of sp...
  • 148 篇 universidad iber...
  • 148 篇 indian institute...
  • 146 篇 brunel universit...
  • 146 篇 academy of scien...
  • 143 篇 charles universi...
  • 139 篇 università di to...
  • 136 篇 infn sezione di ...
  • 135 篇 imperial college...
  • 135 篇 university of de...
  • 134 篇 rwth aachen univ...
  • 134 篇 department of ph...
  • 133 篇 infn sezione di ...
  • 132 篇 indian institute...

作者

  • 112 篇 g. tonelli
  • 112 篇 d. barney
  • 112 篇 l. valencia palo...
  • 112 篇 t. liu
  • 112 篇 c. hensel
  • 112 篇 a. garcia-bellid...
  • 111 篇 a. babaev
  • 111 篇 a. steen
  • 111 篇 n. cartiglia
  • 108 篇 v. karjavine
  • 105 篇 n. colino
  • 105 篇 f. moortgat
  • 104 篇 b. clerbaux
  • 104 篇 g. sultanov
  • 103 篇 m. a. ciocci
  • 103 篇 k. lamichhane
  • 103 篇 s. maselli
  • 102 篇 e. migliore
  • 102 篇 p. avery
  • 102 篇 l. silvestris

语言

  • 1,685 篇 英文
  • 74 篇 中文
  • 28 篇 其他
检索条件"机构=State Key Laboratory of Computer Architecture~ Institute of Computing Technology"
1783 条 记 录,以下是221-230 订阅
排序:
Deep Representation Learning for Electron Ionization Mass Spectra Retrieval
Deep Representation Learning for Electron Ionization Mass Sp...
收藏 引用
IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Shibo Liu Xuan Zhang Anlei Jiao Shiwei Sun Longyang Dian Xuefeng Cui School of Computer Science and Technology Shandong University Qingdao China Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China State Key Laboratory of Microbial Technology Shandong University Qingdao China
The task of retrieving and analyzing mass spectra is indispensable for the identification of compounds in mass spectrometry (MS). This methodology is of critical importance as it enables researchers to correlate obser... 详细信息
来源: 评论
How to Train Your Neural Network for Molecular Structure Generation from Mass Spectra?
How to Train Your Neural Network for Molecular Structure Gen...
收藏 引用
IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Kai Zhao Yanmin Liu Longyang Dian Shiwei Sun Xuefeng Cui School of Computer Science and Technology Shandong University Qingdao China State Key Laboratory of Microbial Technology Shandong University Qingdao China Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China
Mass spectrometry serves as a pivotal tool for the analysis of small molecules through an examination of their mass-to-charge ratios. Recent advancements in deep learning have markedly enhanced the analysis of mass sp... 详细信息
来源: 评论
EdgeCross: Cloud Scale Traffic Management at Peering Edges
收藏 引用
Proceedings of the ACM on Networking 2024年 第CONEXT4期2卷 1-23页
作者: Xiaoliang Wang Penghui Mi Yong Zhu Baoyi An Yinhua Wang Lixiang Wang Xuezhi Yu Qiong Xie Xiang Huang Mingliang Yin Chaoyang Ji Wei Sun Yihang Lv Yuhang Chen Cam-Tu Nguyen Chen Tian Xiaoming Fu State Key Laboratory for Novel Software Technology Nanjing University Nanjing China Huawei Cloud Computing Technologies Co. Ltd. Shenzhen China Institute of Computer Science University of Göttingen Göttingen Germany
Cloud providers deployed dozens of PoPs and data centers globally to serve billions of geo-distributed users. The traffic management at peering edges has become a key capability of cloud network operators to meet the ... 详细信息
来源: 评论
Wave-particle duality relation with a quantum N-path beamsplitter
收藏 引用
Chinese Physics B 2021年 第5期30卷 220-228页
作者: Dong-Yang Wang Jun-Jie Wu Yi-Zhi Wang Yong Liu An-Qi Huang Chun-Lin Yu Xue-Jun Yang Institute for Quantum Information&State Key Laboratory of High Performance Computing College of Computer Science and TechnologyNational University of Defense TechnologyChangsha 410073China College of Information and Communication National University of Defense TechnologyXi'an 710006China China Greatwall Quantum Laboratory China Greatwall Technology Group CO.LTD.Changsha 410073China
The wave-particle duality relation derived by Englert sets an upper bound of the extractable information from wave and particle properties in a two-path ***,previous studies demonstrated that the introduction of a qua... 详细信息
来源: 评论
AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks
arXiv
收藏 引用
arXiv 2023年
作者: Gong, Cheng Lu, Ye Dai, Surong Qian, Deng Du, Chenkun Li, Tao College of Software Nankai University Tianjin300350 China College of Computer Science Nankai University Tianjin300350 China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China
Exploring the expected quantizing scheme with suitable mixed-precision policy is the key point to compress deep neural networks (DNNs) in high efficiency and accuracy. This exploration implies heavy workloads for doma... 详细信息
来源: 评论
BuildEnVR: An Immersive Analysis System for Environmental Field
BuildEnVR: An Immersive Analysis System for Environmental Fi...
收藏 引用
International Conference on Parallel and Distributed Systems (ICPADS)
作者: Zhenghan Zhou Kebin Liu Yantong Xie Hangxu Jin Shi Liu Ruiqing Wang Haitian Zhao Borong Lin Xiaofang Mu Hui Qi Global Innovation Exchange Tsinghua University Fuzhou Fuyao Institute for Advanced Study School of Architecture Carnegie Mellon University School of Architecture Tsinghua University College of Computer Science and Technology Taiyuan Normal University Shanxi Key Laboratory of Intelligent Optimization Computing and Blockchain Technology
Amidst global warming and escalating extreme weather events, indoor environmental quality’s impact on human health and public hygiene gains prominence. Environmental parameters exist essentially as fields, which are ... 详细信息
来源: 评论
TNANet: A Temporal-Noise-Aware Neural Network for Suicidal Ideation Prediction with Noisy Physiological Data
arXiv
收藏 引用
arXiv 2024年
作者: Liu, Niqi Liu, Fang Ji, Wenqi Du, Xinxin Liu, Xu Zhao, Guozhen Mu, Wenting Liu, Yong-Jin BNRist Department of Computer Science and Technology MOE-Key Laboratory of Pervasive Computing Tsinghua University China State Key Laboratory of Media Convergence and Communication Communication University of China China Multimodal Sensing and Computing Laboratory Beijing China CAS Key Laboratory of Behavioral Science Institute of Psychology China Department of Psychology Tsinghua University China
The robust generalization of deep learning models in the presence of inherent noise remains a significant challenge, especially when labels are subjective and noise is indiscernible in natural settings. This problem i... 详细信息
来源: 评论
Energy-efficient NTT Design with One-bank SRAM and 2-D PE Array
Energy-efficient NTT Design with One-bank SRAM and 2-D PE Ar...
收藏 引用
Design, Automation and Test in Europe Conference and Exhibition
作者: Jianan Mu Huajie Tan Jiawen Wu Haotian Lu Chip-Hong Chang Shuai Chen Shengwen Liang Jing Ye Huawei Li Xiaowei Li State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences CASTEST Tianjin University Nanyang Technological University Rock-Solid Security Lab Fiberhome
In Number Theoretic Transform (NTT) operation, more than half of the active energy consumption stems from memory accesses. Here, we propose a generalized design method to improve the energy efficiency of NTT operation...
来源: 评论
Memory Access Optimization of High-Order CFD Stencil Computations on GPU  1
收藏 引用
21st International Conference on Parallel and Distributed computing, Applications, and Technologies, PDCAT 2020
作者: Wang, Shengxiang Li, Zhuoqian Che, Yonggang Institute for Quantum Information and State Key Laboratory of High Performance Computing College of Computer National University of Defense Technology Changsha China
Stencils computations are a class of computations commonly found in scientific and engineering applications. They have relatively lower arithmetic intensity. Therefore, their performance is greatly affected by memory ... 详细信息
来源: 评论
Radio Modulation Recognition Based on Attention-based Convolutional Neural Network and Time-frequency Analysis  2
Radio Modulation Recognition Based on Attention-based Convol...
收藏 引用
2nd International Seminar on Artificial Intelligence, Networking and Information technology, AINIT 2021
作者: Li, Xinlong Huang, Da Yang, Wenjing Li, Xueqiong Institute for Quantum Information and State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha China
Radio modulation recognition is the key link of modern electronic warfare. This paper applies the idea of deep learning to radio modulation recognition. Since the modulation type is the most important information abou... 详细信息
来源: 评论