咨询与建议

限定检索结果

文献类型

  • 3,609 篇 期刊文献
  • 3,415 篇 会议
  • 4 册 图书

馆藏范围

  • 7,028 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 4,628 篇 工学
    • 3,259 篇 计算机科学与技术...
    • 2,691 篇 软件工程
    • 1,071 篇 信息与通信工程
    • 608 篇 电气工程
    • 592 篇 生物工程
    • 569 篇 控制科学与工程
    • 432 篇 电子科学与技术(可...
    • 388 篇 光学工程
    • 388 篇 生物医学工程(可授...
    • 332 篇 机械工程
    • 271 篇 化学工程与技术
    • 172 篇 仪器科学与技术
    • 170 篇 交通运输工程
    • 147 篇 动力工程及工程热...
    • 146 篇 材料科学与工程(可...
    • 126 篇 建筑学
    • 125 篇 网络空间安全
  • 2,733 篇 理学
    • 1,502 篇 数学
    • 694 篇 物理学
    • 671 篇 生物学
    • 463 篇 统计学(可授理学、...
    • 298 篇 化学
    • 202 篇 系统科学
  • 1,234 篇 管理学
    • 684 篇 管理科学与工程(可...
    • 601 篇 图书情报与档案管...
    • 245 篇 工商管理
  • 344 篇 医学
    • 291 篇 临床医学
    • 238 篇 基础医学(可授医学...
    • 159 篇 药学(可授医学、理...
  • 186 篇 法学
    • 151 篇 社会学
  • 88 篇 经济学
  • 87 篇 农学
  • 69 篇 教育学
  • 27 篇 文学
  • 10 篇 军事学
  • 10 篇 艺术学
  • 4 篇 哲学
  • 1 篇 历史学

主题

  • 272 篇 feature extracti...
  • 224 篇 semantics
  • 181 篇 training
  • 169 篇 deep learning
  • 136 篇 computational mo...
  • 123 篇 accuracy
  • 108 篇 machine learning
  • 93 篇 data models
  • 92 篇 convolution
  • 86 篇 predictive model...
  • 85 篇 optimization
  • 83 篇 federated learni...
  • 82 篇 image segmentati...
  • 81 篇 contrastive lear...
  • 79 篇 neural networks
  • 78 篇 data mining
  • 74 篇 visualization
  • 72 篇 object detection
  • 71 篇 reinforcement le...
  • 71 篇 graph neural net...

机构

  • 238 篇 university of ch...
  • 181 篇 key laboratory o...
  • 133 篇 shandong provinc...
  • 128 篇 school of inform...
  • 96 篇 college of compu...
  • 89 篇 peng cheng labor...
  • 89 篇 school of data a...
  • 73 篇 shandong provinc...
  • 70 篇 school of comput...
  • 69 篇 key laboratory o...
  • 68 篇 school of comput...
  • 64 篇 cas key laborato...
  • 56 篇 shandong provinc...
  • 54 篇 beijing advanced...
  • 52 篇 shandong enginee...
  • 52 篇 school of comput...
  • 52 篇 college of mathe...
  • 52 篇 college of compu...
  • 49 篇 school of comput...
  • 44 篇 school of comput...

作者

  • 91 篇 niyato dusit
  • 91 篇 cheng xueqi
  • 60 篇 huang qingming
  • 46 篇 guo jiafeng
  • 41 篇 zhao hai
  • 35 篇 zheng wei-shi
  • 34 篇 wang guoyin
  • 33 篇 liu yang
  • 33 篇 feng zhiquan
  • 31 篇 yang bo
  • 29 篇 jin xiaolong
  • 29 篇 yang zhiyong
  • 29 篇 xu xiaolong
  • 28 篇 shen huawei
  • 28 篇 lu bao-liang
  • 28 篇 yang yang
  • 28 篇 wang wei
  • 27 篇 zhang lei
  • 26 篇 jiang kai
  • 26 篇 li di

语言

  • 5,444 篇 英文
  • 1,485 篇 其他
  • 145 篇 中文
  • 3 篇 葡萄牙文
  • 1 篇 荷兰文
检索条件"机构=Key Laboratory of Data Science and Intelligent Computing"
7028 条 记 录,以下是741-750 订阅
排序:
BATON: symphony of random testing and concolic testing through machine learning and taint analysis
收藏 引用
science China(Information sciences) 2023年 第3期66卷 97-117页
作者: Bihuan CHEN Yang LIU Xin PENG Yijian WU Shengchao QIN School of Computer Science Fudan University Shanghai Key Laboratory of Data Science Fudan University School of Computer Science and Engineering Nanyang Technological University School of Computing Teesside University
Random testing is scalable but often fails to hit corner program behaviors,while systematic testing (e.g.,concolic execution) is promising to cover corner program behaviors but is not scalable to explore all program... 详细信息
来源: 评论
MSCA-UNet: Multi-Scale Channel Adaptive Sensing Module for Medical Image Segmentation
MSCA-UNet: Multi-Scale Channel Adaptive Sensing Module for M...
收藏 引用
2024 International Conference on New Trends in Computational Intelligence, NTCI 2024
作者: Diao, Liangjin Shen, Longfeng Chen, Jiacong Ge, Fangzhen Li, Mengwen College of Computer Science and Technology Huaibei Normal University Anhui Huaibei China Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei China Anhui University Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui Hefei China
Recent advancements in CNNs for medical image segmentation have focused on the combination of CNN and Transformer architectures to capture both local and global features. However, challenges remain, such as effectivel... 详细信息
来源: 评论
Incentivizing Crowdsensing for DT-Enabled Metaverse  20th
Incentivizing Crowdsensing for DT-Enabled Metaverse
收藏 引用
20th IFIP WG 10.3 International Conference on Network and Parallel computing, NPC 2024
作者: Ye, Dongdong Huang, Xumin Wu, Yuan Kang, Jiawen Zhong, Weifeng Niyato, Dusit School of Automation Guangdong University of Technology Guangzhou China State Key Laboratory of Internet of Things for Smart City University of Macau Taipa China Department of Computer and Information Science University of Macau Taipa China Collge of Computing and Data Science Nanyang Technological University Singapore Singapore
Digital Twin (DT) has been proposed as a key enabling technology to produce a digital clone of the physical world and facilitate the convergence of the physical and virtual worlds for building a real-world Metaverse. ... 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
IF-Font: ideographic description sequence-following font generation  24
IF-Font: ideographic description sequence-following font gen...
收藏 引用
Proceedings of the 38th International Conference on Neural Information Processing Systems
作者: Xinping Chen Xiao Ke Wenzhong Guo Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing College of Computer and Data Science Fuzhou University Fuzhou China and Engineering Research Center of Big Data Intelligence Ministry of Education Fuzhou China
Few-shot font generation (FFG) aims to learn the target style from a limited number of reference glyphs and generate the remaining glyphs in the target font. Previous works focus on disentangling the content and style...
来源: 评论
NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors  39
NumbOD: A Spatial-Frequency Fusion Attack Against Object Det...
收藏 引用
39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025
作者: Zhou, Ziqi Li, Bowen Song, Yufei Yu, Zhifei Hu, Shengshan Wan, Wei Zhang, Leo Yu Yao, Dezhong Jin, Hai 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 Computer Science and Technology Huazhong University of Science and Technology China School of Cyber Science and Engineering Huazhong University of Science and Technology China School of Information and Communication Technology Griffith University Australia
With the advancement of deep learning, object detectors (ODs) with various architectures have achieved significant success in complex scenarios like autonomous driving. Previous adversarial attacks against ODs have be... 详细信息
来源: 评论
SRv6-INT Enabled Network Monitoring and Measurement: Toward High-Yield Network Observability for Digital Twin  3rd
SRv6-INT Enabled Network Monitoring and Measurement: Toward...
收藏 引用
3rd International Conference on Machine Learning, Cloud computing and intelligent Mining, MLCCIM 2024
作者: Zhang, Xu Feng, Chuan Han, Pengchao Liu, Wei Gong, Xiaoxue Zhang, Qiupei Guo, Lei School of Communications and Information Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China Institute of Intelligent Communication and Network Security Chongqing University of Posts and Telecommunications Chongqing400065 China Key Laboratory of Big Data Intelligent Computing Chongqing University of Posts and Telecommunications Chongqing400065 China School of Information Engineering Guangdong University of Technology Guangzhou510006 China
Network monitoring and measurement is an important part of realizing the network digital twin. However, it introduces the problem of high cost when obtaining the status data of physical networks. Therefore, to efficie... 详细信息
来源: 评论
Towards Stricter Black-box Integrity Verification of Deep Neural Network Models  24
Towards Stricter Black-box Integrity Verification of Deep Ne...
收藏 引用
32nd ACM International Conference on Multimedia, MM 2024
作者: He, Chaoxiang Bai, Xiaofan Ma, Xiaojing Zhu, Bin B. Hu, Pingyi Fu, Jiayun Jin, Hai Zhang, Dongmei Huazhong University of Science and Technology Hubei Wuhan China Shanghai Jiao Tong University Shanghai China Microsoft Corporation Beijing China National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Engineering Research Center on Big Data Security Hubei Key Laboratory of Distributed System Security School of Cyber Science and Engineering Huazhong University of Science and Technology China National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology China
Cloud-based machine learning services offer significant advantages but also introduce the risk of tampering with cloud-deployed deep neural network (DNN) models. Black-box integrity verification (BIV) allows model own... 详细信息
来源: 评论
GACP:graph neural networks with ARMA flters and a parallel CNN for hyperspectral image classification
收藏 引用
International Journal of Digital Earth 2023年 第1期16卷 1770-1800页
作者: Jing Yang Jie Sun Yaping Ren Shaobo Li Shujie Ding Jianjun Hu School of Mechanical Engineering Guizhou UniversityGuiyangPeople’s Republic of China State Key Laboratory of Public Big Data Guizhou UniversityGuiyangPeople’s Republic of China School of Intelligent Systems Science and Engineering Jinan UniversityZhuhaiPeople’s Republic of China Department of Computer Science and Engineering University of South CarolinaColumbiaSCUSA
In recent years,the use of convolutional neural networks(CNNs)and graph neural networks(GNNs)to identify hyperspectral images(HSIs)has achieved excellent results,and such methods are widely used in agricultural remote... 详细信息
来源: 评论
FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees  41
FedLMT: Tackling System Heterogeneity of Federated Learning ...
收藏 引用
41st International Conference on Machine Learning, ICML 2024
作者: Liu, Jiahao Zhou, Yipeng Wu, Di Hu, Miao Guizani, Mohsen Sheng, Quan Z. School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou China School of Computing Faculty of Science and Engineering Macquarie University Sydney Australia Abu Dhabi United Arab Emirates
Federated learning (FL) is an emerging machine learning paradigm for preserving data privacy. However, diverse client hardware often has varying computation resources. Such system heterogeneity limits the participatio... 详细信息
来源: 评论