咨询与建议

限定检索结果

文献类型

  • 113 篇 会议
  • 93 篇 期刊文献

馆藏范围

  • 206 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 151 篇 工学
    • 114 篇 计算机科学与技术...
    • 99 篇 软件工程
    • 32 篇 信息与通信工程
    • 18 篇 控制科学与工程
    • 17 篇 生物工程
    • 15 篇 机械工程
    • 12 篇 电气工程
    • 10 篇 光学工程
    • 9 篇 化学工程与技术
    • 7 篇 动力工程及工程热...
    • 7 篇 生物医学工程(可授...
    • 6 篇 仪器科学与技术
    • 6 篇 电子科学与技术(可...
    • 5 篇 冶金工程
    • 5 篇 建筑学
    • 4 篇 材料科学与工程(可...
    • 4 篇 交通运输工程
    • 4 篇 安全科学与工程
  • 76 篇 理学
    • 43 篇 数学
    • 19 篇 物理学
    • 18 篇 生物学
    • 14 篇 统计学(可授理学、...
    • 10 篇 化学
    • 6 篇 系统科学
  • 49 篇 管理学
    • 29 篇 管理科学与工程(可...
    • 25 篇 图书情报与档案管...
    • 6 篇 工商管理
  • 10 篇 医学
    • 10 篇 临床医学
    • 7 篇 基础医学(可授医学...
  • 8 篇 法学
    • 8 篇 社会学
  • 3 篇 农学
  • 1 篇 经济学
  • 1 篇 艺术学

主题

  • 4 篇 feature extracti...
  • 4 篇 forecasting
  • 4 篇 training
  • 3 篇 image segmentati...
  • 3 篇 association rule...
  • 3 篇 redundancy
  • 3 篇 optimization
  • 3 篇 energy consumpti...
  • 3 篇 servers
  • 3 篇 computational mo...
  • 3 篇 websites
  • 3 篇 semantics
  • 3 篇 network security
  • 3 篇 edge computing
  • 3 篇 peer-to-peer com...
  • 3 篇 ubiquitous compu...
  • 3 篇 convolutional ne...
  • 3 篇 ontology
  • 2 篇 internet of thin...
  • 2 篇 fuzzy logic

机构

  • 30 篇 tianjin key lab ...
  • 23 篇 key laboratory o...
  • 20 篇 tianjin key lab....
  • 15 篇 tianjin key lab ...
  • 13 篇 university of ch...
  • 11 篇 intelligent soft...
  • 9 篇 key laboratory o...
  • 8 篇 key laboratory o...
  • 7 篇 state key lab of...
  • 6 篇 ministry of educ...
  • 6 篇 state key lab of...
  • 5 篇 university of sc...
  • 5 篇 school of softwa...
  • 5 篇 school of softwa...
  • 5 篇 school of electr...
  • 4 篇 school of sports...
  • 4 篇 dalian universit...
  • 4 篇 college of compu...
  • 4 篇 cambricon techno...
  • 3 篇 key laboratory o...

作者

  • 20 篇 zhang de-gan
  • 15 篇 zhang degan
  • 8 篇 sheng lin
  • 8 篇 de-gan zhang
  • 8 篇 zhang ting
  • 8 篇 guangping xu
  • 8 篇 degan zhang
  • 7 篇 zhang rui
  • 7 篇 hua zhang
  • 6 篇 chen yunji
  • 6 篇 li ling
  • 5 篇 hao yifan
  • 5 篇 ting zhang
  • 5 篇 kai shi
  • 5 篇 wang yuanquan
  • 5 篇 zhou shihua
  • 5 篇 zhang jie
  • 5 篇 yunji chen
  • 5 篇 rui zhang
  • 4 篇 peng hao

语言

  • 197 篇 英文
  • 5 篇 其他
  • 4 篇 中文
检索条件"机构=Key Lab of Intelligent Computing and New Software Technology"
206 条 记 录,以下是131-140 订阅
排序:
Viewpoint selection for photographing architectures
arXiv
收藏 引用
arXiv 2017年
作者: He, Jingwu Wang, Linbo Zhou, Wenzhe Zhang, Hongjie Cui, Xiufen Guo, Yanwen National Key Lab for Novel Software Technology Nanjing University NanJing210023 China MOE Key Laboratory of Intelligent Computing and Signal Processing Institute of Media Computing Anhui University HeFei230039 China Samsung Electronics R&D China
—This paper studies the problem of how to choose good viewpoints for taking photographs of architectures. We achieve this by learning from professional photographs of world famous landmarks that are available on the ... 详细信息
来源: 评论
Luban: Building Open-Ended Creative Agents via Autonomous Embodied Verification
arXiv
收藏 引用
arXiv 2024年
作者: Guo, Yuxuan Peng, Shaohui Guo, Jiaming Huang, Di Zhang, Xishan Zhang, Rui Hao, Yifan Li, Ling Tian, Zikang Gao, Mingju Li, Yutai Gan, Yiming Liang, Shuai Zhang, Zihao Du, Zidong Guo, Qi Hu, Xing Chen, Yunji University of Science and Technology of China China State Key Lab of Processors Institute of Computing Technology CAS China Cambricon Technologies China University of Chinese Academy of Sciences China Shanghai Innovation Center for Processor Technologies China Intelligent Software Research Center Institute of Software CAS China Institute of Computing Technology CAS China
Building open agents has always been the ultimate goal in AI research, and creative agents are the more enticing. Existing LLM agents excel at long-horizon tasks with well-defined goals (e.g., ‘mine diamonds’ in Min... 详细信息
来源: 评论
SPA: a graph spectral alignment perspective for domain adaptation  23
SPA: a graph spectral alignment perspective for domain adapt...
收藏 引用
Proceedings of the 37th International Conference on Neural Information Processing Systems
作者: Zhiqing Xiao Haobo Wang Ying Jin Lei Feng Gang Chen Fei Huang Junbo Zhao College of Computer Science and Technology Zhejiang University and Key Lab of Intelligent Computing based Big Data of Zhejiang Province Zhejiang University School of Software Technology Zhejiang University and Key Lab of Intelligent Computing based Big Data of Zhejiang Province Zhejiang University CUHK-SenseTime Joint Lab The Chinese University of Hong Kong School of Computer Science and Engineering Nanyang Technological University Alibaba Group
Unsupervised domain adaptation (UDA) is a pivotal form in machine learning to extend the in-domain model to the distinctive target domains where the data distributions differ. Most prior works focus on capturing the i...
来源: 评论
A consistent pixel-wise blur measure for partially blurred images
A consistent pixel-wise blur measure for partially blurred i...
收藏 引用
IEEE International Conference on Image Processing
作者: Xianyong Fang Feng Shen Yanwen Guo Christian Jacquemin Jian Zhou Shanchun Huang Anhui University Hefei Anhui CN Key Lab. of Intelligent Computing and Signal Processing Anhui University Hefei China State Key Lab. for Novel Software Technology Nanjing University Nanjing China AMI LIMSI-CNRS Orsay France
Despite numerous efforts on blur measurement of partially blurred images, there still lacks an effective blur measure that is both pixel-wise and locally sharp consistent. The paper proposes a novel method with two co... 详细信息
来源: 评论
Learning domain-aware detection head with prompt tuning  23
Learning domain-aware detection head with prompt tuning
收藏 引用
Proceedings of the 37th International Conference on Neural Information Processing Systems
作者: Haochen Li Rui Zhang Hantao Yao Xinkai Song Yifan Hao Yongwei Zhao Ling Li Yunji Chen Intelligent Software Research Center Institute of Software CAS Beijing China and University of Chinese Academy of Sciences Beijing China State Key Lab of Processors Institute of Computing Technology CAS Beijing China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation CAS Beijing China State Key Lab of Processors Institute of Computing Technology CAS Beijing China and University of Chinese Academy of Sciences Beijing China
Domain adaptive object detection (DAOD) aims to generalize detectors trained on an annotated source domain to an unlabelled target domain. However, existing methods focus on reducing the domain bias of the detection b...
来源: 评论
Learning a Coordinated Network for Detail-Refinement Multiexposure Image Fusion
收藏 引用
IEEE Transactions on Circuits and Systems for Video technology 2023年 第2期33卷 713-727页
作者: Li, Jiawei Liu, Jinyuan Zhou, Shihua Zhang, Qiang Kasabov, Nikola K. Ministry of Education School of Software Engineering Dalian University Key Laboratory of Advanced Design and Intelligent Computing Dalian116622 China Dalian University of Technology School of Software Technology Dalian116024 China Auckland University of Technology Knowledge Engineering and Discovery Research Institute Auckland1010 New Zealand Ulster University Intelligent Systems Research Center LondonderryBT52 1SA United Kingdom
Nowadays, deep learning has made rapid progress in the field of multi-exposure image fusion. However, it is still challenging to extract available features while retaining texture details and color. To address this di... 详细信息
来源: 评论
DNS Covert Channel Attack Detection Based on Spatio-Temporal Feature Fusion
DNS Covert Channel Attack Detection Based on Spatio-Temporal...
收藏 引用
International Symposium on Parallel and Distributed Processing with Applications, ISPA
作者: Wei You Chunlei Zhao Chao Shan Guozhong Dong Jie Yu Yong Guan Tianjin Key Laboratory of Intelligent Computing and Software New Technology Tianjin University of Technology Tianjin China Hubei Branch of National Computer Network Emergency Response Technical Team Coordination Center of China HuBei China Department of New Networks Pengcheng Laboratory Shenzhen China
An increasing number of Advanced Persistent Threat (APT) organizations are utilizing DNS (Domain Name System) covert channels to evade network intrusion detection systems and establish private authoritative servers fo... 详细信息
来源: 评论
BLOCKY ARTIFACT REMOVAL WITH LOW-RANK MATRIX RECOVERY
BLOCKY ARTIFACT REMOVAL WITH LOW-RANK MATRIX RECOVERY
收藏 引用
IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Ming Yin Junbin Gao Yanfeng Sun Shuting Cai School of Automation Guangdong University of Technology Guangzhou 510006 China School of Computing and Mathematics Charles Sturt University Bathurst NSW 2795 Australia Beijing Municipal Key Lab of Multimedia and Intelligent Software Technology Beijing University of Technology Beijing 100124 China
In this paper, a novel image blocky artifact removal scheme based on low-rank matrix recovery is proposed. The problem of suppressing blocky artifacts is formulated as recovering a low-rank matrix from corrupted obser... 详细信息
来源: 评论
A Representation Learning Framework for Stock Movement Prediction
SSRN
收藏 引用
SSRN 2022年
作者: Feng, Wenzhi Ma, Xiang Li, Xuemei Zhang, Caiming School of Software Shandong University Jinan250101 China Shandong Co-Innovation Center of Future Intelligent Computing Yantai264025 China Digital Media Technology Key Lab of Shandong Province Jinan250014 China
The learning of high-quality stock representations is one of the keys to predicting stock movements effectively. Current studies have been negatively impacted by stochasticity in stock prices, resulting in inadequate ... 详细信息
来源: 评论
DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection
arXiv
收藏 引用
arXiv 2024年
作者: Li, Haochen Zhang, Rui Yao, Hantao Zhang, Xin Hao, Yifan Song, Xinkai Li, Xiaqing Zhao, Yongwei Li, Ling Chen, Yunji Intelligent Software Research Center Institute of Software CAS Beijing China State Key Lab of Processors Institute of Computing Technology CAS Beijing China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation CAS Beijing China University of Chinese Academy of Sciences Beijing China
Domain adaptive object detection (DAOD) aims to generalize detectors trained on an annotated source domain to an unlabelled target domain. As the visual-language models (VLMs) can provide essential general knowledge o... 详细信息
来源: 评论