咨询与建议

限定检索结果

文献类型

  • 281 篇 期刊文献
  • 199 篇 会议

馆藏范围

  • 480 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 306 篇 工学
    • 214 篇 计算机科学与技术...
    • 187 篇 软件工程
    • 52 篇 控制科学与工程
    • 50 篇 信息与通信工程
    • 40 篇 生物工程
    • 38 篇 光学工程
    • 34 篇 电气工程
    • 25 篇 生物医学工程(可授...
    • 24 篇 机械工程
    • 21 篇 电子科学与技术(可...
    • 20 篇 交通运输工程
    • 18 篇 材料科学与工程(可...
    • 13 篇 化学工程与技术
    • 10 篇 仪器科学与技术
    • 10 篇 安全科学与工程
    • 7 篇 动力工程及工程热...
    • 7 篇 土木工程
  • 162 篇 理学
    • 80 篇 数学
    • 53 篇 物理学
    • 45 篇 生物学
    • 28 篇 统计学(可授理学、...
    • 14 篇 化学
    • 13 篇 系统科学
  • 94 篇 管理学
    • 59 篇 管理科学与工程(可...
    • 39 篇 图书情报与档案管...
    • 16 篇 工商管理
  • 31 篇 医学
    • 26 篇 临床医学
    • 18 篇 基础医学(可授医学...
    • 10 篇 药学(可授医学、理...
  • 11 篇 法学
    • 9 篇 社会学
  • 5 篇 经济学
  • 5 篇 农学
  • 2 篇 教育学
  • 1 篇 文学
  • 1 篇 军事学
  • 1 篇 艺术学

主题

  • 16 篇 deep learning
  • 14 篇 reinforcement le...
  • 12 篇 semantics
  • 12 篇 feature extracti...
  • 10 篇 machine learning
  • 10 篇 training
  • 9 篇 image segmentati...
  • 9 篇 predictive model...
  • 8 篇 artificial intel...
  • 8 篇 intelligent syst...
  • 7 篇 computer science
  • 7 篇 scalability
  • 7 篇 semantic segment...
  • 7 篇 task analysis
  • 7 篇 three-dimensiona...
  • 7 篇 convolution
  • 7 篇 laboratories
  • 7 篇 trajectory
  • 7 篇 correlation
  • 6 篇 automation

机构

  • 52 篇 school of artifi...
  • 28 篇 beijing engineer...
  • 28 篇 guangdong engine...
  • 25 篇 university of ch...
  • 19 篇 state key labora...
  • 18 篇 qingdao academy ...
  • 14 篇 center for resea...
  • 14 篇 the state key la...
  • 14 篇 state key labora...
  • 13 篇 ieee
  • 10 篇 cloud computing ...
  • 10 篇 state key labora...
  • 10 篇 state key labora...
  • 9 篇 intelligent manu...
  • 9 篇 the beijing engi...
  • 9 篇 the state key la...
  • 8 篇 beijing national...
  • 8 篇 department of co...
  • 7 篇 school of comput...
  • 7 篇 state key labora...

作者

  • 57 篇 gang xiong
  • 34 篇 xiong gang
  • 29 篇 zhen shen
  • 20 篇 xisong dong
  • 19 篇 fei-yue wang
  • 18 篇 shen zhen
  • 17 篇 dong xisong
  • 13 篇 xiuqin shang
  • 13 篇 fenghua zhu
  • 13 篇 fan rui
  • 13 篇 wang lihui
  • 12 篇 hu xiaolin
  • 11 篇 sun maosong
  • 10 篇 bin hu
  • 10 篇 liu yang
  • 9 篇 wang liang
  • 9 篇 shichao chen
  • 8 篇 zhu fenghua
  • 8 篇 liu qiang
  • 8 篇 wu shu

语言

  • 454 篇 英文
  • 17 篇 其他
  • 9 篇 中文
检索条件"机构=Research Center for Intelligent Computing Systems State Key Laboratory of Computer Architecture"
480 条 记 录,以下是251-260 订阅
排序:
Learning to Detect Unacceptable Machine Translations for Downstream Tasks
arXiv
收藏 引用
arXiv 2020年
作者: Zhang, Meng Jiang, Xin Liu, Yang Liu, Qun Huawei Noah’s Ark Lab Institute for Artificial Intelligence State Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing China Beijing National Research Center for Information Science and Technology
The field of machine translation has progressed tremendously in recent years. Even though the translation quality has improved significantly, current systems are still unable to produce uniformly acceptable machine tr... 详细信息
来源: 评论
Recent progress in semantic image segmentation
arXiv
收藏 引用
arXiv 2018年
作者: Liu, Xiaolong Deng, Zhidong Yang, Yuhan State Key Laboratory of Intelligent Technology and Systems Beijing National Research Center for Information Science and Technology Department of Computer Science Tsinghua University Beijing100084 China Department of Economics and Management Tsinghua University Beijing100084 China
Semantic image segmentation, which becomes one of the key applications in image processing and computer vision domain, has been used in multiple domains such as medical area and intelligent transportation. Lots of ben... 详细信息
来源: 评论
Neural machine translation with explicit phrase alignment
arXiv
收藏 引用
arXiv 2019年
作者: Zhang, Jiacheng Luan, Huanbo Sun, Maosong Zhai, FeiFei Xu, Jingfang Liu, Yang Institute for Artificial Intelligence State Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing China Beijing National Research Center for Information Science and Technology Sogou Inc. Beijing China
While neural machine translation (NMT) has achieved state-of-the-art translation performance, it is unable to capture the alignment between the input and output during the translation process. The lack of alignment in... 详细信息
来源: 评论
The Prediction of the Epidemic Trend of COVID-19 Using Neural Networks
收藏 引用
IFAC-PapersOnLine 2020年 第5期53卷 857-862页
作者: Jing Yang Zhen Shen Xisong Dong Xiuqin Shang Wei Li Gang Xiong J. Yang is with the State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China and also with College of Information Sciences & Technology Beijing University of Chemical Technology Beijing 100029 China. Z. Shen is with the State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China and also with the Intelligent Manufacturing Center Qingdao Academy of Intelligent Industries Qingdao Shandong 266113 China. X. Dong X. Shang and W. Li are with the State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China. G. Xiong is with Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing 100190 China and also with the Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Dongguan Guangdong 523808 China.
In this paper, a BP neural network and an LSTM network are applied respectively to the prediction of Coronavirus Disease 2019 (COVID-19) in Wuhan, China and South Korea. The methods do not require specific theories of...
来源: 评论
Hard-instance learning for quantum adiabatic prime factorization
收藏 引用
Physical Review A 2022年 第6期105卷 062455-062455页
作者: Jian Lin Zhengfeng Zhang Junping Zhang Xiaopeng Li State Key Laboratory of Surface Physics Institute of Nanoelectronics and Quantum Computing and Department of Physics Fudan University Shanghai 200433 China Shanghai Key Lab of Intelligent Information Processing and School of Computer Science Fudan University Shanghai 200433 China Shanghai Qi Zhi Institute Xuhui District Shanghai 200032 China Shanghai Research Center for Quantum Sciences Shanghai 201315 China
Prime factorization is a difficult problem with classical computing, whose exponential hardness is the foundation of Rivest-Shamir-Adleman cryptography. With programable quantum devices, adiabatic quantum computing ha... 详细信息
来源: 评论
SkinFormer: Learning Statistical Texture Representation with Transformer for Skin Lesion Segmentation
arXiv
收藏 引用
arXiv 2024年
作者: Xu, Rongtao Wang, Changwei Zhang, Jiguang Xu, Shibiao Meng, Weiliang Zhang, Xiaopeng The State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing China The Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Qilu University of Technology Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China CASIA Beijing China The State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences China School of Artificial Intelligence Beijing University of Posts and Telecommunications China
Accurate skin lesion segmentation from dermoscopic images is of great importance for skin cancer diagnosis. However, automatic segmentation of melanoma remains a challenging task because it is difficult to incorporate... 详细信息
来源: 评论
Cyber-Physical -Social systems for Smart Cities: An Overview
Cyber-Physical -Social Systems for Smart Cities: An Overview
收藏 引用
Digital Twins and Parallel Intelligence (DTPI), IEEE International Conference on
作者: Noreen Anwar Gang Xiong Wanze Lu Peijun Ye Hongxia Zhao Qinglai Wei The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China The Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation and with The Cloud Computing Center Chinese Academy of Sciences China School of Artificial Intelligence and Automation Beijing University of Technology Beijing China
Cyber-physical social systems (CPSS) include cyberspace, physical space, and social space. Since the introduction of CPSS, human relationships with machinery and the physical world have altered as a new paradigm. Rece... 详细信息
来源: 评论
Convolutional Neural Networks with Gated Recurrent Connections
arXiv
收藏 引用
arXiv 2021年
作者: Wang, Jianfeng Hu, Xiaolin the Computer Science Department University of Oxford Oxfordshire United Kingdom the Institute for Artificial Intelligence the State Key Laboratory of Intelligent Technology and Systems Beijing National Research Center for Information Science and Technology Department of Computer Science and Technology Tsinghua University Beijing100084 China
The convolutional neural network (CNN) has become a basic model for solving many computer vision problems. In recent years, a new class of CNNs, recurrent convolution neural network (RCNN), inspired by abundant recurr... 详细信息
来源: 评论
Feature Selection and Learning-Based Model for Uav Path Planning on Rough Terrains
SSRN
收藏 引用
SSRN 2022年
作者: Ali, Hub Xiong, Gang Husnain, Haider Muhammad Tamir, Tariku Sinshaw Dong, Xisong Shen, Zhen State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing100190 China Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences Dongguan523808 China Qingdao Academy of Intelligent Industries Qingdao266109 China Chengdu610054 China
Path planning and obstacle avoidance in 3D terrain have been identified as a monumental challenge for a UAV in a variety of autonomous missions, such as disaster management and search and rescue operations. In large t... 详细信息
来源: 评论
Auto-MatRegressor材料性能自动预测器:解放材料机器学习"调参师"
收藏 引用
Science Bulletin 2023年 第12期68卷 1259-1270,M0004页
作者: 刘悦 王双燕 杨正伟 Maxim Avdeev 施思齐 School of Computer Engineering and Science Shanghai UniversityShanghai 200444China Shanghai Engineering Research Center of Intelligent Computing System Shanghai 200444China State Key Laboratory of Advanced Special Steel School of Materials Science and EngineeringShanghai UniversityShanghai 200444China Materials Genome Institute Shanghai UniversityShanghai 200444China Zhejiang Laboratory Hangzhou 311100China Australian Nuclear Science and Technology Organisation Sydney 2232Australia School of Chemistry The University of SydneySydney 2006Australia
机器学习因其能够快速、精准拟合数据的潜在模式而被广泛应用于材料构效关系研究。然而,材料科学家往往需要进行繁琐的模型选择及参数寻优才能构建出高精度预测模型,为了解放材料机器学习"调参师",本文研发了基于元学习的材... 详细信息
来源: 评论