咨询与建议

限定检索结果

文献类型

  • 942 篇 期刊文献
  • 691 篇 会议
  • 1 册 图书

馆藏范围

  • 1,634 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,127 篇 工学
    • 812 篇 计算机科学与技术...
    • 665 篇 软件工程
    • 301 篇 信息与通信工程
    • 199 篇 电气工程
    • 156 篇 生物工程
    • 143 篇 控制科学与工程
    • 110 篇 生物医学工程(可授...
    • 102 篇 光学工程
    • 101 篇 电子科学与技术(可...
    • 61 篇 机械工程
    • 50 篇 化学工程与技术
    • 46 篇 交通运输工程
    • 45 篇 仪器科学与技术
    • 37 篇 网络空间安全
    • 33 篇 建筑学
    • 31 篇 土木工程
    • 31 篇 航空宇航科学与技...
  • 594 篇 理学
    • 323 篇 数学
    • 174 篇 生物学
    • 122 篇 物理学
    • 111 篇 统计学(可授理学、...
    • 56 篇 化学
    • 46 篇 系统科学
  • 312 篇 管理学
    • 180 篇 管理科学与工程(可...
    • 144 篇 图书情报与档案管...
    • 74 篇 工商管理
  • 101 篇 医学
    • 92 篇 临床医学
    • 79 篇 基础医学(可授医学...
    • 56 篇 药学(可授医学、理...
  • 42 篇 法学
    • 34 篇 社会学
  • 24 篇 经济学
  • 19 篇 农学
  • 13 篇 教育学
  • 2 篇 艺术学
  • 1 篇 军事学

主题

  • 80 篇 semantics
  • 63 篇 feature extracti...
  • 48 篇 deep learning
  • 45 篇 training
  • 32 篇 computational mo...
  • 32 篇 data models
  • 30 篇 accuracy
  • 29 篇 federated learni...
  • 28 篇 convolution
  • 25 篇 predictive model...
  • 25 篇 machine learning
  • 23 篇 data mining
  • 23 篇 contrastive lear...
  • 22 篇 deep neural netw...
  • 21 篇 image segmentati...
  • 20 篇 neural networks
  • 19 篇 graph neural net...
  • 19 篇 visualization
  • 18 篇 robustness
  • 17 篇 codes

机构

  • 54 篇 shandong provinc...
  • 51 篇 college of compu...
  • 51 篇 national enginee...
  • 46 篇 shandong enginee...
  • 44 篇 key laboratory o...
  • 40 篇 school of cyber ...
  • 39 篇 beijing advanced...
  • 37 篇 school of comput...
  • 37 篇 college of compu...
  • 35 篇 nanyang technolo...
  • 35 篇 university of ch...
  • 29 篇 school of big da...
  • 29 篇 national enginee...
  • 28 篇 college of compu...
  • 28 篇 hubei key labora...
  • 27 篇 peng cheng labor...
  • 27 篇 hubei engineerin...
  • 26 篇 services computi...
  • 25 篇 cluster and grid...
  • 25 篇 school of comput...

作者

  • 73 篇 niyato dusit
  • 32 篇 jin hai
  • 24 篇 sun geng
  • 23 篇 shen linlin
  • 21 篇 hai jin
  • 20 篇 hu shengshan
  • 19 篇 wang jiacheng
  • 17 篇 huang qingming
  • 16 篇 liu ya-feng
  • 16 篇 xu qianqian
  • 15 篇 zhang leo yu
  • 15 篇 li jiahui
  • 15 篇 liu bin
  • 14 篇 huang sheng
  • 14 篇 zhou ziqi
  • 13 篇 cao xiaochun
  • 13 篇 li minghui
  • 12 篇 wang jinbao
  • 12 篇 yang yang
  • 12 篇 li tianrui

语言

  • 1,409 篇 英文
  • 203 篇 其他
  • 35 篇 中文
检索条件"机构=The Key Laboratory of Data Engineering and Visual Computing"
1634 条 记 录,以下是191-200 订阅
Learning with Open-world Noisy data via Class-independent Margin in Dual Representation Space  39
Learning with Open-world Noisy Data via Class-independent Ma...
收藏 引用
39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025
作者: Pan, Linchao Gao, Can Zhou, Jie Wang, Jinbao College of Computer Science and Software Engineering Shenzhen University China Guangdong Provincial Key Laboratory of Intelligent Information Processing China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China
Learning with Noisy Labels (LNL) aims to improve the model generalization when facing data with noisy labels, and existing methods generally assume that noisy labels come from known classes, called closed-set noise. H... 详细信息
来源: 评论
Learning with Open-world Noisy data via Class-independent Margin in Dual Representation Space
arXiv
收藏 引用
arXiv 2025年
作者: Pan, Linchao Gao, Can Zhou, Jie Wang, Jinbao College of Computer Science and Software Engineering Shenzhen University China Guangdong Provincial Key Laboratory of Intelligent Information Processing China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China
Learning with Noisy Labels (LNL) aims to improve the model generalization when facing data with noisy labels, and existing methods generally assume that noisy labels come from known classes, called closed-set noise. H... 详细信息
来源: 评论
Big-Moe: Bypassing Isolated Gating For Generalized Multimodal Face Anti-Spoofing
Big-Moe: Bypassing Isolated Gating For Generalized Multimoda...
收藏 引用
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Yingjie Ma Zitong Yu Xun Lin Weicheng Xie Linlin Shen College of Computer Science and Software Engineering Shenzhen University Great Bay University National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Guangdong Provincial Key Laboratory of Intelligent Information Processing
In the domain of facial recognition security, multimodal Face Anti-Spoofing (FAS) is essential for countering presentation attacks. However, existing technologies encounter challenges due to modality biases and imbala... 详细信息
来源: 评论
Exploring Patent Transformation Event: Forecasting Patent Transfer Time  26
Exploring Patent Transformation Event: Forecasting Patent Tr...
收藏 引用
26th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2023
作者: Huo, Jinchen Liu, Weidong Li, Yang Cao, Yan Institute of Scientific and Technical Information of China China College of Computer Science Inner Mongolia University China Natl. Loc. Jt. Eng. Research Center of Intelligent Information Processing Technology for Mongolian China Inner Mongolia Key Laboratory of Social Computing and Data Processing China Inner Mongolia Engineering Laboratory for Big Data Analysis Technology China
As the largest source of technical information around the world, patents are regarded as an essential crystallization and carrier of knowledge and technological innovation. Patent transformation is conducive not only ... 详细信息
来源: 评论
Sequence-to-Sequence Knowledge Graph Completion Based on Gated Attention Unit  29
Sequence-to-Sequence Knowledge Graph Completion Based on Gat...
收藏 引用
29th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2023
作者: Yi, Fengge Wei, Xiumei Liu, Xiaojing Jiang, Xuesong Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan China Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan China State Key Laboratory of High-end Server & Storage Technology Jinan China
We present GauKGT5, a sequence-to-sequence model proposed for knowledge graph completion (KGC). Our research extends the KGT5 model, a recent sequence-to-sequence link prediction (LP) model. GauKGT5 takes advantage of... 详细信息
来源: 评论
Research on patent recommendation method based on graph neural network  26
Research on patent recommendation method based on graph neur...
收藏 引用
26th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2023
作者: Zhang, Enchao Liu, Weidong Liu, Shi Cao, Yan Institute of Scientific and Technical Information of China China College of Computer Science Inner Mongolia University China Natl. Loc. Jt. Eng. Research Center of Intelligent Information Processing Technology for Mongolian China Inner Mongolia Key Laboratory of Social Computing and Data Processing China Inner Mongolia Engineering Laboratory for Big Data Analysis Technology China
Intellectual property transactions have shown a strong growth momentum in recent years, but the patent transaction market has been plagued by the matching degree of consumers and sellers, resulting in frequent problem... 详细信息
来源: 评论
Effective degree of freedom for near-field plane-based XL-MIMO with tri-polarization
收藏 引用
Frontiers of Information Technology & Electronic engineering 2024年 第12期25卷 1723-1731页
作者: Zhe WANG Jiayi ZHANG Wenhui YI Huahua XIAO Dusit NIYATO Bo AI School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China College of Computing and Data Science Nanyang Technological UniversitySingapore 639798Singapore State Key Laboratory of Mobile Network and Mobile Multimedia Technology ZTE CorporationShenzhen 518057China
In this paper we study the effective degree of freedom(EDoF)for extremely large-scale multipleinput multiple-output(XL-MIMO)*** consider two XL-MIMO hardware designs,uniform planar array(UPA)based and continuous apert... 详细信息
来源: 评论
TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering  38
TFGDA: Exploring Topology and Feature Alignment in Semi-supe...
收藏 引用
38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Dan, Jun Liu, Weiming Xie, Chunfeng Yu, Hua Dong, Shunjie Tan, Yanchao Zhejiang University China Queen Mary University of London United Kingdom Dalian University of Technology China Shanghai Jiao Tong University China Fuzhou University China Engineering Research Center of Big Data Intelligence Ministry of Education China Fujian Key Laboratory of Network Computing and Intelligent Information Processing China
Semi-supervised graph domain adaptation, as a branch of graph transfer learning, aims to annotate unlabeled target graph nodes by utilizing transferable knowledge learned from a label-scarce source graph. However, mos...
来源: 评论
Intelligent Fast Cell Association Scheme Based on Deep Q-Learning in Ultra-Dense Cellular Networks
收藏 引用
China Communications 2021年 第2期18卷 259-270页
作者: Jinhua Pan Lusheng Wang Hai Lin Zhiheng Zha Caihong Kai Key Laboratory of Knowledge Engineering with Big Data Ministry of Education.School of Computer Science and Information EngineeringHefei University of TechnologyHefei 230601China Anhui Province Key Laboratory of Industry Safety and Emergency Technology Hefei 230601China Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education.School of Cyber Science and EngineeringWuhan UniversityWuhan 430072China
To support dramatically increased traffic loads,communication networks become *** cell association(CA)schemes are timeconsuming,forcing researchers to seek fast *** paper proposes a deep Q-learning based scheme,whose ... 详细信息
来源: 评论
DASCDC: Dual Attention-based Sparse Common Deep Clustering Method  9
DASCDC: Dual Attention-based Sparse Common Deep Clustering M...
收藏 引用
9th IEEE International Conference on Behavioural and Social computing, BESC 2022
作者: Dong, Yao Shi, Jin Deng, Yahan Dong, Yongfeng Wang, Ziqiu School of Artificial Intelligence Hebei University of Technology Tianjin300401 China Hebei Province Key Laboratory of Big Data Computing Tianjin300401 China Data Driven Industrial Intelligent Hebei Engineering Research Center Tianjin300401 China
Graph convolutional network (GCN) has been successfully applied in deep clustering on the high dimensional dataset, which is usually processed by extracting the feature and structure information. However, it lacks an ... 详细信息
来源: 评论