咨询与建议

限定检索结果

文献类型

  • 1,200 篇 会议
  • 721 篇 期刊文献

馆藏范围

  • 1,921 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,277 篇 工学
    • 974 篇 计算机科学与技术...
    • 866 篇 软件工程
    • 249 篇 信息与通信工程
    • 139 篇 生物工程
    • 130 篇 控制科学与工程
    • 112 篇 机械工程
    • 97 篇 光学工程
    • 77 篇 生物医学工程(可授...
    • 74 篇 电气工程
    • 69 篇 电子科学与技术(可...
    • 64 篇 化学工程与技术
    • 40 篇 仪器科学与技术
    • 28 篇 建筑学
    • 26 篇 农业工程
    • 24 篇 材料科学与工程(可...
    • 24 篇 动力工程及工程热...
  • 667 篇 理学
    • 408 篇 数学
    • 167 篇 生物学
    • 157 篇 物理学
    • 109 篇 统计学(可授理学、...
    • 59 篇 化学
    • 36 篇 系统科学
  • 412 篇 管理学
    • 261 篇 图书情报与档案管...
    • 163 篇 管理科学与工程(可...
    • 51 篇 工商管理
  • 60 篇 医学
    • 47 篇 临床医学
    • 38 篇 基础医学(可授医学...
  • 35 篇 农学
    • 31 篇 作物学
  • 31 篇 法学
    • 26 篇 社会学
  • 22 篇 经济学
    • 22 篇 应用经济学
  • 12 篇 教育学
  • 11 篇 艺术学
  • 9 篇 哲学
  • 4 篇 文学
  • 1 篇 军事学

主题

  • 95 篇 semantics
  • 88 篇 feature extracti...
  • 71 篇 training
  • 71 篇 information proc...
  • 57 篇 laboratories
  • 52 篇 computers
  • 48 篇 face recognition
  • 42 篇 visualization
  • 42 篇 humans
  • 40 篇 computational mo...
  • 36 篇 data mining
  • 35 篇 object detection
  • 35 篇 computer vision
  • 33 篇 image segmentati...
  • 33 篇 machine learning
  • 31 篇 decoding
  • 29 篇 support vector m...
  • 29 篇 deep learning
  • 28 篇 robustness
  • 26 篇 data models

机构

  • 431 篇 key laboratory o...
  • 296 篇 university of ch...
  • 83 篇 key laboratory o...
  • 64 篇 peng cheng labor...
  • 63 篇 key lab of intel...
  • 51 篇 key lab of intel...
  • 50 篇 graduate univers...
  • 47 篇 key laboratory o...
  • 45 篇 the key laborato...
  • 43 篇 key laboratory o...
  • 41 篇 school of comput...
  • 41 篇 chinese academy ...
  • 37 篇 graduate univers...
  • 35 篇 institute of sci...
  • 35 篇 school of cyber ...
  • 32 篇 school of comput...
  • 30 篇 key lab. of inte...
  • 29 篇 shanghai key lab...
  • 29 篇 institute of dig...
  • 26 篇 institute of com...

作者

  • 99 篇 zhongzhi shi
  • 98 篇 shi zhongzhi
  • 96 篇 xilin chen
  • 86 篇 shiguang shan
  • 85 篇 liu qun
  • 77 篇 huang qingming
  • 47 篇 xu qianqian
  • 45 篇 qing he
  • 42 篇 he qing
  • 40 篇 li hua
  • 40 篇 feng yang
  • 37 篇 wen gao
  • 34 篇 jiang shuqiang
  • 33 篇 cao juan
  • 32 篇 liu yang
  • 32 篇 yang zhiyong
  • 32 篇 cao xiaochun
  • 31 篇 zhuge hai
  • 30 篇 zhuang fuzhen
  • 28 篇 qingming huang

语言

  • 1,831 篇 英文
  • 48 篇 中文
  • 45 篇 其他
检索条件"机构=Key Lab. of Intelligent Information Processing Institute of Computing Technology"
1921 条 记 录,以下是1-10 订阅
排序:
DMFVAE:miRNA-disease associations prediction based on deep matrix factorization method with variational autoencoder
收藏 引用
Frontiers of Computer Science 2024年 第6期18卷 259-270页
作者: Pijing WEI Qianqian WANG Zhen GAO Ruifen CAO Chunhou ZHENG Information Materials and Intelligent Sensing Laboratory of Anhui Province Institutes of Physical Science and Information TechnologyAnhui UniversityHefei 230601China Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and TechnologyAnhui UniversityHefei 230601China Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Artificial IntelligenceAnhui UniversityHefei 230601China
MicroRNAs(miRNAs)are closely related to numerous complex human diseases,therefore,exploring miRNA-disease associations(MDAs)can help people gain a better understanding of complex disease *** increasing number of compu... 详细信息
来源: 评论
Non-uniform Compressive Sensing Imaging Based on Image Saliency
收藏 引用
Chinese Journal of Electronics 2023年 第1期32卷 159-165页
作者: LI Hongliang DAI Feng ZHAO Qiang MA Yike CAO Juan ZHANG Yongdong University of Chinese Academy of Sciences Key Lab of Intelligent Information Processing of Chinese Academy of Sciences Institute of Computing Technology Chinese Academy of Sciences University of Science and Technology of China
For more effective image sampling, compressive sensing(CS) imaging methods based on image saliency have been proposed in recent years. Those methods assign higher measurement rates to salient regions,but lower measure... 详细信息
来源: 评论
Audio-guided self-supervised learning for disentangled visual speech representations
收藏 引用
Frontiers of Computer Science 2024年 第6期18卷 277-279页
作者: Dalu FENG Shuang YANG Shiguang SHAN Xilin CHEN Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences Institute of Computing TechnologyChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China
1 *** visual speech representations from talking face videos is an important problem for several speech-related tasks,such as lip reading,talking face generation,and audiovisual speech separation[1,2].The key difficul... 详细信息
来源: 评论
Leveraging Slot-Aware Enhancements for Improved Zero-Shot Dialogue State Tracking  6
Leveraging Slot-Aware Enhancements for Improved Zero-Shot Di...
收藏 引用
6th International Conference on Frontier Technologies of information and Computer, ICFTIC 2024
作者: Song, Tianhang Hu, Haolei Chen, Xinxin Zi, Kangli Henan Institute of Advanced Technology Zhengzhou University Zhengzhou China Institute of Computing Technology Key Laboratory of Intelligent Information Processing Beijing China
Task-oriented dialogue systems (TOD) aim to help users complete specific tasks through multiple rounds of dialogue, in which Dialogue State Tracking (DST) is a key component. The training of DST models typically neces... 详细信息
来源: 评论
Relation Reconstructive Binarization of word embeddings
收藏 引用
Frontiers of Computer Science 2022年 第2期16卷 47-54页
作者: Feiyang PAN Shuokai LI Xiang AO Qing HE Key Lab of Intelligent Information Processing of Chinese Academy of Sciences(CAS) Institute of Computing TechnologyCASBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China
Word-embedding acts as one of the backbones of modern natural language processing(NLP).Recently,with the need for deploying NLP models to low-resource devices,there has been a surge of interest to compress word embedd... 详细信息
来源: 评论
From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos
收藏 引用
IEEE Transactions on Affective computing 2024年 第02期16卷 624-638页
作者: Chen, Yin Li, Jia Shan, Shiguang Wang, Meng Hong, Richang Hefei University of Technology School of Computer Science and Information Engineering Hefei230601 China Institute of Computing Technology Chinese Academy of Sciences Key Laboratory of Intelligent Information Processing Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China
Dynamic facial expression recognition (DFER) in the wild is still hindered by data limitations, e.g., insufficient quantity and diversity of pose, occlusion and illumination, as well as the inherent ambiguity of facia... 详细信息
来源: 评论
Exploring Trial-and-Error in Deep Learning:Initial Application to Isotope Detection in Mass Spectrometry
收藏 引用
Big Data Mining and Analytics 2024年 第4期7卷 1251-1261页
作者: Qihong Jiao Yuxiao Wang Yongshuai Wang Shiwei Sun Xuefeng Cui School of Computer Science and Technology Shandong UniversityQingdao 266237China Key Lab of Intelligent Information Processing Institute of Computing TechnologyChinese Academy of SciencesBeijing 100190China
Mass spectrometry plays a crucial role in biomedicine by detecting isotopes,contributing significantly to research,diagnostics,and therapy *** study introduces IsoFusion,a deep learning model designed to address isoto... 详细信息
来源: 评论
DragEntity:Trajectory Guided Video Generation using Entity and Positional Relationships  24
DragEntity:Trajectory Guided Video Generation using Entity a...
收藏 引用
32nd ACM International Conference on Multimedia, MM 2024
作者: Wan, Zhang Tang, Sheng Wei, Jiawei Zhang, Ruize Cao, Juan Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Zhengzhou University Zhengzhou China Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China
In recent years, diffusion models have achieved tremendous success in the field of video generation, with controllab.e video generation receiving significant attention. However, existing control methods still face two... 详细信息
来源: 评论
A prompt-based approach to adversarial example generation and robustness enhancement
收藏 引用
Frontiers of Computer Science 2024年 第4期18卷 85-96页
作者: Yuting YANG Pei HUANG Juan CAO Jintao LI Yun LIN Feifei MA Key Lab of Intelligent Information Processing of Chinese Academy of Sciences(CAS) Institute of Computing TechnologyCASBeijing 100190China School of Computer Science and Technology University of Chinese Academy of SciencesBeijing 100049China Department of Computer Science Stanford UniversityCA 94305USA School of Computing National University of SingaporeSingapore 119077Singapore Laboratory of Parallel Software and Computational Science Institute of SoftwareChinese Academy of SciencesBeijing 100190China
Recent years have seen the wide application of natural language processing(NLP)models in crucial areas such as finance,medical treatment,and news media,raising concerns about the model robustness and *** find that pro... 详细信息
来源: 评论
Multi-View Graph Embedding Learning for Image Co-Segmentation and Co-Localization
收藏 引用
IEEE Transactions on Circuits and Systems for Video technology 2024年 第6期34卷 4942-4956页
作者: Huang, Aiping Li, Lijian Zhang, Le Niu, Yuzhen Zhao, Tiesong Lin, Chia-Wen Fuzhou University Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information College of Physics and Information Engineering Fuzhou350108 China Fuzhou University Fujian Key Laboratory of Network Computing and Intelligent Information Processing College of Computer and Data Science Fuzhou350108 China University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu611731 China Fuzhou University Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information College of Physics and Information Engineering The Fujian Science and Technology Innovation Laboratory for Optoelectronic Information Fuzhou350108 China Institute of Communications Engineering National Tsing Hua University Department of Electrical Engineering Hsinchu30013 Taiwan
Image co-segmentation and co-localization exploit inter-image information to identify and extract foreground objects with a batch mode. However, they remain challenging when confronted with large object variations or ... 详细信息
来源: 评论