咨询与建议

限定检索结果

文献类型

  • 774 篇 期刊文献
  • 756 篇 会议
  • 1 册 图书

馆藏范围

  • 1,531 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 999 篇 工学
    • 749 篇 计算机科学与技术...
    • 622 篇 软件工程
    • 230 篇 信息与通信工程
    • 140 篇 生物工程
    • 134 篇 控制科学与工程
    • 128 篇 电气工程
    • 84 篇 生物医学工程(可授...
    • 72 篇 光学工程
    • 69 篇 机械工程
    • 67 篇 电子科学与技术(可...
    • 44 篇 化学工程与技术
    • 43 篇 仪器科学与技术
    • 38 篇 交通运输工程
    • 35 篇 网络空间安全
    • 29 篇 动力工程及工程热...
    • 23 篇 安全科学与工程
  • 544 篇 理学
    • 316 篇 数学
    • 156 篇 生物学
    • 102 篇 统计学(可授理学、...
    • 89 篇 物理学
    • 55 篇 系统科学
    • 48 篇 化学
  • 310 篇 管理学
    • 180 篇 管理科学与工程(可...
    • 154 篇 图书情报与档案管...
    • 60 篇 工商管理
  • 74 篇 医学
    • 62 篇 临床医学
    • 54 篇 基础医学(可授医学...
    • 37 篇 药学(可授医学、理...
  • 48 篇 法学
    • 40 篇 社会学
  • 27 篇 经济学
    • 26 篇 应用经济学
  • 27 篇 农学
  • 13 篇 教育学
  • 3 篇 艺术学
  • 1 篇 文学

主题

  • 68 篇 semantics
  • 68 篇 feature extracti...
  • 58 篇 training
  • 46 篇 deep learning
  • 38 篇 predictive model...
  • 35 篇 computational mo...
  • 34 篇 accuracy
  • 31 篇 convolution
  • 31 篇 machine learning
  • 30 篇 data models
  • 27 篇 graph neural net...
  • 25 篇 contrastive lear...
  • 21 篇 federated learni...
  • 20 篇 task analysis
  • 20 篇 image segmentati...
  • 20 篇 neural networks
  • 20 篇 visualization
  • 19 篇 convolutional ne...
  • 18 篇 deep neural netw...
  • 17 篇 object detection

机构

  • 72 篇 beijing advanced...
  • 58 篇 shandong provinc...
  • 52 篇 key laboratory o...
  • 46 篇 shandong enginee...
  • 41 篇 national enginee...
  • 38 篇 school of comput...
  • 38 篇 school of cyber ...
  • 34 篇 chongqing key la...
  • 33 篇 key laboratory o...
  • 31 篇 guangdong key la...
  • 29 篇 school of big da...
  • 29 篇 university of ch...
  • 29 篇 peng cheng labor...
  • 27 篇 national enginee...
  • 26 篇 hubei key labora...
  • 26 篇 hubei engineerin...
  • 24 篇 services computi...
  • 24 篇 cluster and grid...
  • 24 篇 school of comput...
  • 23 篇 college of compu...

作者

  • 32 篇 jin hai
  • 28 篇 wang guoyin
  • 22 篇 huang qingming
  • 22 篇 hai jin
  • 20 篇 shen linlin
  • 20 篇 xu qianqian
  • 18 篇 hu shengshan
  • 18 篇 chen yanping
  • 15 篇 yang zhiyong
  • 15 篇 chen huajun
  • 15 篇 liu ya-feng
  • 14 篇 huang sheng
  • 14 篇 wu di
  • 14 篇 zhang leo yu
  • 13 篇 li jianxin
  • 13 篇 li minghui
  • 13 篇 zhou yipeng
  • 12 篇 shang mingsheng
  • 12 篇 xia shuyin
  • 12 篇 yuan ye

语言

  • 1,431 篇 英文
  • 83 篇 其他
  • 35 篇 中文
检索条件"机构=Hebei Key Laboratory of Big Data Computing"
1531 条 记 录,以下是31-40 订阅
排序:
OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking
arXiv
收藏 引用
arXiv 2025年
作者: Xi, Zekun Yin, Wenbiao Fang, Jizhan Wu, Jialong Fang, Runnan Zhang, Ningyu Jiang, Yong Xie, Pengjun Huang, Fei Chen, Huajun Zhejiang University China Tongyi Lab Alibaba Group China Zhejiang Key Laboratory of Big Data Intelligent Computing China
Machine writing with large language models often relies on retrieval-augmented generation. However, these approaches remain confined within the boundaries of the model’s predefined scope, limiting the generation of c... 详细信息
来源: 评论
Functional Testing and Repair for ReRAM-Based Deep-Learning Accelerators
IEEE Design and Test
收藏 引用
IEEE Design and Test 2025年 第3期42卷 66-73页
作者: Li, Wen Wang, Ying Li, Huawei Li, Xiaowei Zou, Kaiwei Shanxi University School of Computer and Information Technology Shanxi Taiyuan030006 China Institute of Big Data Science and Industry Shanxi University Shanxi Taiyuan030006 China State Key Laboratory of Processors Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China Tsinghua University Department of Electronic Engineering Beijing100084 China
Editor’s notes: This article offers an overview of the RRAMedy framework, designed to perform online testing, fault diagnosis, and fault mitigation in resistive random-access memory (ReRAM) devices, specifically in t... 详细信息
来源: 评论
MSMAE-Net: multi-semantic and multi-attention enhanced network for image forgery localization
收藏 引用
Signal, Image and Video Processing 2025年 第7期19卷 1-11页
作者: Liao, Jianjun Su, Lichao Lu, Menghan Engineering Research Center of Big Data Intelligence Ministry of Education Fuzhou China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou China
The popularization of modern digital image technology has brought convenience to us, but it also poses many risks. The advancement of image editing software allows anyone to modify image content effortlessly. If these...
来源: 评论
LSDK-LegalSum: improving legal judgment summarization using logical structure and domain knowledge
收藏 引用
Journal of King Saud University - Computer and Information Sciences 2025年 第1期37卷 1-15页
作者: Gao, Wei Yu, Shuai Qin, Yongbin Yang, Caiwei Huang, Ruizhang Chen, Yanping Lin, Chuan Engineering Research Center of Text Computing & CognitiveIntelligence Ministry of Education Guizhou University Guizhou Huaxi Guiyang 550025 China State Key Laboratory of Public Big Data Guizhou University Guizhou Huaxi Guiyang 550025 China College of Computer Science and Technology Guizhou University Guizhou Huaxi Guiyang 550025 China
Legal judgment summarization enhances the efficiency and accuracy of processing and retrieving similar cases by distilling key information from legal judgment documents. Legal judgments, which record the trial process... 详细信息
来源: 评论
NSPG-Miner: Mining Repetitive Negative Sequential Patterns
arXiv
收藏 引用
arXiv 2025年
作者: Li, Yan Wang, Zhulin Liu, Jing Guo, Lei Fournier-Viger, Philippe Wu, Youxi Wu, Xindong School of Economics and Management Hebei University of Technology Tianjin300401 China School of Artificial Intelligence Hebei University of Technology Tianjin300401 China State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin300401 China College of Computer Science and Software Engineering Shenzhen University Shenzhen518061 China Hebei Key Laboratory of Big Data Computing 300401 China Key Laboratory of Knowledge Engineering with Big Data The Ministry of Education of China Hefei University of Technology Hefei230009 China
Sequential pattern mining (SPM) with gap constraints (or repetitive SPM or tandem repeat discovery in bioinformatics) can find frequent repetitive subsequences satisfying gap constraints, which are called positive seq... 详细信息
来源: 评论
Spatiotemporal Graph Contrastive Learning for Wind Power Forecasting
收藏 引用
IEEE Transactions on Sustainable Energy 2025年
作者: Liu, Guiyan Zhang, Yajuan Zhang, Ping Gu, Junhua Hebei University of Technology School of Artificial Intelligence Tianjin300401 China Hebei University of Technology Hebei Province Key Laboratory of Big Data Calculation School of Artificial Intelligence Tianjin300401 China Hebei University of Technology State Key Laboratory of Reliability and Intelligence of Electrical Equipment School of Artificial Intelligence Tianjin300401 China
Accurate and robust wind power forecasting plays a crucial role in ensuring the safety and stability of the power system. Hybrid spatiotemporal forecasting models based on graph convolutional networks have received wi... 详细信息
来源: 评论
LeapGNN: accelerating distributed GNN training leveraging feature-centric model migration  25
LeapGNN: accelerating distributed GNN training leveraging fe...
收藏 引用
Proceedings of the 23rd USENIX Conference on File and Storage Technologies
作者: Weijian Chen Shuibing He Haoyang Qu Xuechen Zhang The State Key Laboratory of Blockchain and Data Security Zhejiang University and Zhejiang Lab and Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security and Zhejiang Key Laboratory of Big Data Intelligent Computing Washington State University Vancouver
Distributed training of graph neural networks (GNNs) has become a crucial technique for processing large graphs. Prevalent GNN frameworks are model-centric, necessitating the transfer of massive graph vertex features ...
来源: 评论
Nonlinear Interference-Aware Routing,Wavelength and Power Allocation in C+L+S Multi-Band Optical Networks
收藏 引用
China Communications 2025年 第4期22卷 129-142页
作者: Zhang Xu Xie Wang Feng Chuan Zeng Hankun Zhou Shanshan Zhang Fan Gong Xiaoxue School of Communications and Information Engineering Chongqing University of Posts and TelecommunicationsChongqing 400065China Institute of Intelligent Communications and Network Security Chongqing University of Posts and TelecommunicationsChongqing 400065China Key Laboratory of Big Data Intelligent Computing Chongqing University of Posts and TelecommunicationsChongqing 400065China
Multi-band optical networks are a potential technology for increasing network ***,the strong interference and non-uniformity between wavelengths in multi-band optical networks have become a bottleneck restricting the ... 详细信息
来源: 评论
AutoMiner: Reinforcement Learning-Based Mining Attack Simulator  24th
AutoMiner: Reinforcement Learning-Based Mining Attack Simula...
收藏 引用
24th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2024
作者: Li, Wei Xue, Lide Han, Ziyang Chen, Bingren Zhang, Xishan Zhou, Xuehai University of Science and Technology of China Hefei China ShangHai Municipal Big Data Center Shanghai China Anban Tech Co. Shanghai China State Key Laboratory of Processor Technologies Institute of Computing Technology Chinese Academy of Sciences Beijing China Cambricon Technologies Beijing China
As blockchain technology rapidly advances, it faces significant security threats from attacks like selfish mining, which exploit consensus algorithm vulnerabilities, undermining system security. Traditional analysis m... 详细信息
来源: 评论
Archive-based multiple feature construction method using adaptive genetic programming
收藏 引用
Memetic computing 2025年 第2期17卷 1-16页
作者: Jia, Kaixuan Zhang, Fan Gao, Xiaoying Ma, Jianbin College of Information Science and Technology Hebei Agricultural University Baoding China College of Information Science and Technology Hebei Key Laboratory of Agricultural Big Data Hebei Agricultural University Baoding China School of Engineering and Computer Science Victoria University of Wellington Wellington New Zealand
The quality of features is an important factor that affects the classification performance of machine learning algorithms. Feature construction based on Genetic Programming (GP) can automatically create more discrimin...
来源: 评论