咨询与建议

限定检索结果

文献类型

  • 1,889 篇 会议
  • 1,463 篇 期刊文献
  • 3 册 图书

馆藏范围

  • 3,355 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 2,207 篇 工学
    • 1,527 篇 计算机科学与技术...
    • 1,321 篇 软件工程
    • 524 篇 信息与通信工程
    • 272 篇 控制科学与工程
    • 250 篇 生物工程
    • 204 篇 电气工程
    • 195 篇 机械工程
    • 195 篇 电子科学与技术(可...
    • 182 篇 光学工程
    • 165 篇 生物医学工程(可授...
    • 126 篇 化学工程与技术
    • 99 篇 仪器科学与技术
    • 66 篇 动力工程及工程热...
    • 61 篇 交通运输工程
    • 57 篇 建筑学
    • 51 篇 材料科学与工程(可...
    • 49 篇 土木工程
  • 1,236 篇 理学
    • 713 篇 数学
    • 320 篇 物理学
    • 297 篇 生物学
    • 210 篇 统计学(可授理学、...
    • 123 篇 化学
    • 95 篇 系统科学
  • 624 篇 管理学
    • 360 篇 图书情报与档案管...
    • 280 篇 管理科学与工程(可...
    • 90 篇 工商管理
  • 126 篇 医学
    • 104 篇 临床医学
    • 87 篇 基础医学(可授医学...
    • 55 篇 药学(可授医学、理...
  • 55 篇 法学
    • 45 篇 社会学
  • 49 篇 农学
  • 32 篇 经济学
  • 20 篇 教育学
  • 15 篇 艺术学
  • 10 篇 军事学
  • 9 篇 哲学
  • 7 篇 文学

主题

  • 151 篇 feature extracti...
  • 137 篇 semantics
  • 115 篇 training
  • 83 篇 information proc...
  • 71 篇 laboratories
  • 65 篇 deep learning
  • 65 篇 computational mo...
  • 64 篇 face recognition
  • 60 篇 object detection
  • 60 篇 computers
  • 54 篇 visualization
  • 50 篇 accuracy
  • 49 篇 data mining
  • 47 篇 humans
  • 46 篇 convolution
  • 45 篇 image segmentati...
  • 43 篇 data models
  • 41 篇 decoding
  • 40 篇 robustness
  • 39 篇 optimization

机构

  • 436 篇 key laboratory o...
  • 313 篇 university of ch...
  • 83 篇 key laboratory o...
  • 72 篇 peng cheng labor...
  • 62 篇 key lab of intel...
  • 51 篇 key lab of intel...
  • 48 篇 key laboratory o...
  • 47 篇 fujian provincia...
  • 46 篇 jiangxi province...
  • 46 篇 graduate univers...
  • 45 篇 the key laborato...
  • 44 篇 chinese academy ...
  • 43 篇 school of comput...
  • 43 篇 key laboratory o...
  • 39 篇 key laboratory o...
  • 38 篇 graduate univers...
  • 36 篇 hubei province k...
  • 33 篇 institute of dig...
  • 33 篇 school of inform...
  • 33 篇 school of comput...

作者

  • 101 篇 zhongzhi shi
  • 96 篇 xilin chen
  • 91 篇 shiguang shan
  • 90 篇 shi zhongzhi
  • 80 篇 liu qun
  • 69 篇 huang qingming
  • 45 篇 qing he
  • 40 篇 li hua
  • 40 篇 he qing
  • 39 篇 zhang fuquan
  • 39 篇 xu qianqian
  • 38 篇 feng yang
  • 38 篇 wen gao
  • 36 篇 liu yang
  • 32 篇 jiang shuqiang
  • 32 篇 cao juan
  • 30 篇 zhuang fuzhen
  • 29 篇 chen xilin
  • 29 篇 gao wen
  • 29 篇 zhuge hai

语言

  • 3,167 篇 英文
  • 124 篇 其他
  • 70 篇 中文
检索条件"机构=The Key Laboratory of Intelligent Information Processing Institute of Computing Technology"
3355 条 记 录,以下是61-70 订阅
排序:
Analysis and Optimization of Multiple-STAR-RIS Assisted MIMO-NOMA with GSVD Precoding: An Operator-Valued Free Probability Approach
收藏 引用
IEEE Transactions on Communications 2025年
作者: Wang, Siqiang Zheng, Zhong Guo, Jing Fei, Zesong Sun, Zhi Beijing Institute of Technology School of Information and Electronics Beijing China Beijing Institute of Technology School of Information and Electronics National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing Beijing100081 China Tsinghua University Department of Electronic Engineering Beijing China
Among the key enabling 6G techniques, multiple-input multiple-output (MIMO) and non-orthogonal multiple-access (NOMA) play an important role in enhancing the spectral efficiency of the wireless communication systems. ... 详细信息
来源: 评论
Time-independent Spiking Neuron via Membrane Potential Estimation for Efficient Spiking Neural Networks
Time-independent Spiking Neuron via Membrane Potential Estim...
收藏 引用
International Conference on Acoustics, Speech, and Signal processing (ICASSP)
作者: Hanqi Chen Lixing Yu Shaojie Zhan Penghui Yao Jiankun Shao Yunnan Key Laboratory of Intelligent Systems and Computing School of Information Science and Engineering Yunnan University China State Key Laboratory of Explosion Science and Technology Beijing Institute of Technology Beijing China
The computational inefficiency of spiking neural networks (SNNs) is primarily due to the sequential updates of membrane potential, which becomes more pronounced during extended encoding periods compared to artificial ... 详细信息
来源: 评论
Distributed Signal Detection with Multi-shot Weighted Combining
收藏 引用
IEEE Transactions on Vehicular technology 2025年
作者: Pan, Xuesong Zheng, Zhong Liu, Chang Fei, Zesong Beijing Institute of Technology School of Information and Electronics Beijing100081 China Beijing Institute of Technology School of Information and Electronics The Natl. Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing Beijing100081 China Guangdong University of Technology School of Information Engineering Guangzhou510006 China
Recently, the distributed multiple-input multiple-output (MIMO) systems have been widely investigated, where several physically separated access points (APs) connect to a central processing unit (CPU) via fronthaul li... 详细信息
来源: 评论
NetPrompt: Neural Network Prompting Enhances Event Extraction in Large Language Models
收藏 引用
IEEE Transactions on Big Data 2025年
作者: Mu, Lin Cheng, Yide Shen, Jun Zhang, Yiwen Zhong, Hong School of Computer Science and Technology Anhui University Anhui Hefei230601 China The Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education the Anhui Engineering Laboratory of IoT Security Technologies the School of Computer Science and Technology the Institute of Physical Science and Information Technology Anhui University Hefei230039 China
Event Extraction involves extracting event-related information such as event types and event arguments from context, which has long been tackled through well-designed neural networks or fine-tuned pre-trained language... 详细信息
来源: 评论
VFLMonitor: Defending One-Party Hijacking Attacks in Vertical Federated Learning
收藏 引用
IEEE Transactions on information Forensics and Security 2025年 20卷 4828-4843页
作者: Xu, Xiangrui Zhao, Yiwen Han, Yufei Zhu, Yongsheng Han, Zhen Xu, Guangquan Wang, Bin Ji, Shouling Wang, Wei Qingdao University of Science and Technology School of Information Science and Technology Qingdao266061 China University of Southern California Thomas Lord Department of Computer Science Los AngelesCA90007 United States INRIA Brittany Rennes35042 France Institute of Computing Technologies China Academy of Railway Sciences Corporation Ltd. Beijing100081 China Beijing Jiaotong University Beijing Key Laboratory of Security and Privacy in Intelligent Transportation Beijing100044 China College of Intelligence and Computing Tianjin300072 China Network and Data Security Hangzhou310053 China Zhejiang University College of Computer Science and Technology Zhejiang 310058 China Xi’an Jiaotong University Ministry of Education Key Laboratory for Intelligent Networks and Network Security Xi’an710049 China
Vertical Federated Learning (VFL) is susceptible to various one-party hijacking attacks, such as Replay and Generation attacks, where a single malicious client can manipulate the model to produce attacker-specified re... 详细信息
来源: 评论
Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation
arXiv
收藏 引用
arXiv 2025年
作者: Xiang, Wenzhao Liu, Chang Yu, Hongyang Chen, Xilin Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China Peng Cheng Laboratory China University of Chinese Academy of Sciences China Department of Electronic Engineering Shanghai Jiao Tong University China
Masked Image Modeling (MIM) has garnered significant attention in self-supervised learning, thanks to its impressive capacity to learn scalable visual representations tailored for downstream tasks. However, images inh... 详细信息
来源: 评论
Thermal constraint control of reversible solid oxide cell for optimal system efficiency
收藏 引用
International Journal of Hydrogen Energy 2025年 134卷 198-211页
作者: Xu, Yuanwu Yin, Jie Wang, Jingjing Wu, Xiao-long Peng, Jingxuan Tang, Ruifeng Zou, Suhang Fu, Xiaowei Li, Xi School of Artificial Intelligence and Automation Wuhan University of Science and Technology Hubei Wuhan430081 China School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent Control of Education Ministry Huazhong University of Science and Technology Hubei Wuhan430074 China School of Information Engineering Nanchang University Jiangxi Nanchang330031 China School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore China-Poland Belt and Road Joint Laboratory on Measurement and Control Technology Huazhong University of Science and Technology Hubei Wuhan430074 China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen518055 China
Reversible solid oxide cell (RSOC) demonstrates considerable promise in multimodal energy conversion architectures, particularly as a technology for hydrogen-based energy storage systems. Nevertheless, under dynamic o... 详细信息
来源: 评论
Extracting High-order Connectivity of EEG-based Dynamic Functional Connectivity Networks for Diagnosis of Major Depressive Disorder  24
Extracting High-order Connectivity of EEG-based Dynamic Func...
收藏 引用
4th Asia-Pacific Artificial Intelligence and Big Data Forum, AIBDF 2024
作者: Zhao, Feng Fan, Wenxuan Han, Zhongwei Chen, Hongyu School of Computer Science and Technology Shandong Technology and Business University Shandong Yantai China Yantai Key Laboratory of Big Data Modeling and Intelligent Computing Shandong Yantai China Immersion Technology and Evaluation Shandong Engineering Research Center Shandong Yantai China Information Engineering College Yantai Institute of Technology Shandong Yantai China Shandong Technology and Business University Shandong Yantai China
Functional connectivity networks (FCNs), particularly those utilizing the phase lag index (PLI) method, have been instrumental in elucidating the pathological features of Major Depressive Disorder (MDD) by assessing t... 详细信息
来源: 评论
CLIMS++: Cross Language Image Matching with Automatic Context Discovery for Weakly Supervised Semantic Segmentation
收藏 引用
International Journal of Computer Vision 2025年 1-20页
作者: Xie, Jinheng Deng, Songhe Hou, Xianxu Luo, Zhaochuan Shen, Linlin Huang, Yawen Zheng, Yefeng Shou, Mike Zheng Computer Vision Institute School of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Department of Computer Science Wenzhou-Kean University Wenzhou325060 China Guangdong Provincial Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen China Show Lab National University of Singapore Singapore639798 Singapore School of AI and Advanced Computing Xi’an Jiaotong-Liverpool University Suzhou215400 China Jarvis Research Center Tencent YouTu Lab Shenzhen518703 China
While promising results have been achieved in weakly-supervised semantic segmentation (WSSS), limited supervision from image-level tags inevitably induces discriminative reliance and spurious relations between target ... 详细信息
来源: 评论
DASC-SPT: Towards Self-Supervised Panoramic Semantic Segmentation
DASC-SPT: Towards Self-Supervised Panoramic Semantic Segment...
收藏 引用
IEEE Workshop on Applications of Computer Vision (WACV)
作者: Tianlong Tan Bin Chen Hongliang Cao Chenggang Yan Yike Ma Feng Dai Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences Institute of Computing Technology Chinese Academy of Sciences Beijing China Shandong University University of Chinese Academy of Sciences Beijing China Hangzhou Dianzi University
Self-Supervised Semantic Segmentation, aiming to leverage masses of unlabeled data for boosting semantic segmentation, has been rapidly emerging as an active task in recent years. However, existing self-supervised sem... 详细信息
来源: 评论