咨询与建议

限定检索结果

文献类型

  • 893 篇 期刊文献
  • 651 篇 会议

馆藏范围

  • 1,544 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,062 篇 工学
    • 759 篇 计算机科学与技术...
    • 653 篇 软件工程
    • 286 篇 信息与通信工程
    • 187 篇 电气工程
    • 153 篇 生物工程
    • 114 篇 控制科学与工程
    • 108 篇 生物医学工程(可授...
    • 101 篇 光学工程
    • 95 篇 电子科学与技术(可...
    • 60 篇 机械工程
    • 50 篇 化学工程与技术
    • 45 篇 交通运输工程
    • 44 篇 仪器科学与技术
    • 35 篇 网络空间安全
    • 30 篇 建筑学
    • 30 篇 安全科学与工程
    • 29 篇 土木工程
  • 580 篇 理学
    • 317 篇 数学
    • 170 篇 生物学
    • 119 篇 物理学
    • 110 篇 统计学(可授理学、...
    • 55 篇 化学
    • 46 篇 系统科学
  • 300 篇 管理学
    • 172 篇 管理科学与工程(可...
    • 141 篇 图书情报与档案管...
    • 70 篇 工商管理
  • 98 篇 医学
    • 90 篇 临床医学
    • 78 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
  • 1 篇 军事学
  • 1 篇 艺术学

主题

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

机构

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

作者

  • 68 篇 niyato dusit
  • 30 篇 jin hai
  • 22 篇 sun geng
  • 19 篇 shen linlin
  • 19 篇 hai jin
  • 18 篇 hu shengshan
  • 18 篇 wang jiacheng
  • 17 篇 huang qingming
  • 16 篇 liu ya-feng
  • 16 篇 xu qianqian
  • 15 篇 li jiahui
  • 15 篇 liu bin
  • 14 篇 huang sheng
  • 14 篇 zhang leo yu
  • 13 篇 chen yanping
  • 13 篇 cao xiaochun
  • 13 篇 li minghui
  • 12 篇 zhou ziqi
  • 12 篇 wang lihui
  • 12 篇 mingzhe chen

语言

  • 1,398 篇 英文
  • 125 篇 其他
  • 34 篇 中文
检索条件"机构=Key Laboratory of Data Engineering and Visual Computing"
1544 条 记 录,以下是461-470 订阅
排序:
Multilevel Perception Boundary-guided Network for Breast Lesion Segmentation in Ultrasound Images
arXiv
收藏 引用
arXiv 2023年
作者: Yang, Xing Zhang, Jian Chen, Qijian Wang, Li Wang, Lihui Engineering Research Center of Text Computing & Cognitive Intelligence Ministry of Education Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou University Guiyang550025 China
Automatic segmentation of breast tumors from the ultrasound images is essential for the subsequent clinical diagnosis and treatment plan. Although the existing deep learning-based methods have achieved significant pro... 详细信息
来源: 评论
DFGET: Displacement-Field Assisted Graph Energy Transmitter for Gland Instance Segmentation
arXiv
收藏 引用
arXiv 2023年
作者: Jian, Caiqing Qin, Yongbin Wang, Lihui Engineering Research Center of Text Computing & Cognitive Intelligence Ministry of Education Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou University Guiyang550025 China
Gland instance segmentation is an essential but challenging task in the diagnosis and treatment of adenocarcinoma. The existing models usually achieve gland instance segmentation through multi-task learning and bounda... 详细信息
来源: 评论
Multi-Disease-Aware Training Strategy for Cardiac MR Image Segmentation
arXiv
收藏 引用
arXiv 2025年
作者: Zheng, Hong Chen, Yucheng Mu, Nan Li, Xiaoning College of Computer Science Sichuan Normal University Chengdu610101 China School of Computing and Artificial Intelligence Southwest Jiaotong University Chengdu611756 China Department of Cardiology West China Hospital Sichuan University Chengdu610041 China Visual Computing and Virtual Reality Key Laboratory of Sichuan Province Chengdu610066 China Sichuan 2011 Collaborative Innovation Center for Educational Big Data Chengdu610066 China
Accurate segmentation of the ventricles from cardiac magnetic resonance images (CMRIs) is crucial for enhancing the diagnosis and analysis of heart conditions. Deep learning-based segmentation methods have recently ga... 详细信息
来源: 评论
multiPI-TransBTS: A Multi-Path Learning Framework for Brain Tumor Image Segmentation Based on Multi-Physical Information
arXiv
收藏 引用
arXiv 2024年
作者: Zhu, Hongjun Huang, Jiaohang Chen, Kuo Ying, Xuehui Qian, Ying School of Software Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China Chongqing Engineering Research Center of Software Quality Assurance Testing and Assessment Chongqing400065 China Key Laboratory of Big Data Intelligent Computing Chongqing University of Posts and Telecommunications Chongqing400065 China
Brain Tumor Segmentation (BraTS) plays a critical role in clinical diagnosis, treatment planning, and monitoring the progression of brain tumors. However, due to the variability in tumor appearance, size, and intensit... 详细信息
来源: 评论
Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning
arXiv
收藏 引用
arXiv 2025年
作者: Xie, Wenwen Sun, Geng Liu, Bei Li, Jiahui Wang, Jiacheng Du, Hongyang Niyato, Dusit Kim, Dong In The College of Computer Science and Technology Jilin University Changchun130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Changchun130012 China The College of Computing and Data Science Nanyang Technological University Singapore639798 Singapore The College of Computing and Data Science Nanyang Technological University Singapore The Department of Electrical and Electronic Engineering The University of Hong Kong 999077 Hong Kong The Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of
Emerging technologies in sixth generation (6G) of wireless communications, such as terahertz communication and ultra-massive multiple-input multiple-output, present promising prospects. Despite the high data rate pote... 详细信息
来源: 评论
Constructive Interference Precoding Empowered NOMA-ISAC Design
收藏 引用
IEEE Transactions on Wireless Communications 2025年
作者: Wang, Wei Dong, Chao Zhao, Nan Wu, Qihui Niyato, Dusit Ministry of Industry and Information Technology Nanjing University of Aeronautics and Astronautics Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Nanjing210023 China Dalian University of Technology School of Information and Communication Engineering Dalian116024 China Nanyang Technological University College of Computing and Data Science 639798 Singapore
Non-orthogonal multiple access (NOMA) can help integrated sensing and communication (ISAC) to accommodate more users and well manage interference. In this paper, we first propose a NOMA-ISAC scheme, in which a multian... 详细信息
来源: 评论
Interval quantile correlations with applications to testing high-dimensional quantile effects
收藏 引用
Journal of Econometrics 2025年 249卷
作者: Zhang, Yaowu Zhou, Yeqing Zhu, Liping Research Institute for Interdisciplinary Sciences School of Information Management and Engineering Shanghai University of Finance and Economics China School of Mathematical Sciences School of Economics and Management and Key Laboratory of Intelligent Computing and Applications Tongji University China Center for Applied Statistics and Institute of Statistics and Big Data Renmin University of China China
In this article, we propose interval quantile correlation and interval quantile partial correlation to measure the association between two random variables over an interval of quantile levels. We construct efficient e... 详细信息
来源: 评论
Task-Augmented Cross-View Imputation Network for Partial Multi-View Incomplete Multi-Label Classification
arXiv
收藏 引用
arXiv 2024年
作者: Zhao, Lian Wen, Jie Lu, Xiaohuan Wong, Wai Keung Long, Jiang Xie, Wulin College of Big Data and Information Engineering Guizhou University Guiyang China Shenzhen Key Laboratory of Visual Object Detection and Recognition Harbin Institute of Technology Shenzhen China School of Fashion and Textiles The Hong Kong Polytechnic University Hong Kong Hong Kong Laboratory for Artificial Intelligence in Design Hong Kong
In real-world scenarios, multi-view multi-label learning often encounters the challenge of incomplete training data due to limitations in data collection and unreliable annotation processes. The absence of multi-view ... 详细信息
来源: 评论
Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature
arXiv
收藏 引用
arXiv 2024年
作者: Wang, Yichen Chou, Yuxuan Zhou, Ziqi Zhang, Hangtao Wan, Wei Hu, Shengshan Li, Minghui National Engineering Research Center for Big Data Technology and System China Services Computing Technology and System Lab China Cluster and Grid Computing Lab China Hubei Engineering Research Center on Big Data Security China Hubei Key Laboratory of Distributed System Security China School of Cyber Science and Engineering Huazhong University of Science and Technology China School of Computer Science and Technology Huazhong University of Science and Technology China School of School of Software Engineering Huazhong University of Science and Technology China
As deep neural networks (DNNs) are widely applied in the physical world, many researches are focusing on physical-world adversarial examples (PAEs), which introduce perturbations to inputs and cause the model’s incor... 详细信息
来源: 评论
Distributed Traffic engineering in Hybrid Software Defined Networks: A Multi-agent Reinforcement Learning Framework
arXiv
收藏 引用
arXiv 2023年
作者: Guo, Yingya Tang, Qi Ma, Yulong Tian, Han Chen, Kai The College of Computer and Data Science Fuzhou University China The Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University China The Key Laboratory of Spatial Data Mining & Information Sharing Ministry of Education Fujian 350003 China The Department of Computer Science & Engineering Hong Kong University of Science & Technology Hong Kong
Traffic engineering (TE) is an efficient technique to balance network flows and thus improves the performance of a hybrid Software Defined Network (SDN). Previous TE solutions mainly leverage heuristic algorithms to c... 详细信息
来源: 评论