咨询与建议

限定检索结果

文献类型

  • 348 篇 期刊文献
  • 195 篇 会议
  • 1 册 图书

馆藏范围

  • 544 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 387 篇 工学
    • 269 篇 计算机科学与技术...
    • 230 篇 软件工程
    • 83 篇 信息与通信工程
    • 55 篇 生物工程
    • 40 篇 电气工程
    • 36 篇 控制科学与工程
    • 34 篇 电子科学与技术(可...
    • 33 篇 光学工程
    • 28 篇 生物医学工程(可授...
    • 25 篇 机械工程
    • 17 篇 化学工程与技术
    • 14 篇 仪器科学与技术
    • 14 篇 核科学与技术
    • 13 篇 网络空间安全
    • 12 篇 材料科学与工程(可...
    • 9 篇 动力工程及工程热...
    • 9 篇 安全科学与工程
  • 204 篇 理学
    • 86 篇 数学
    • 71 篇 物理学
    • 58 篇 生物学
    • 20 篇 统计学(可授理学、...
    • 17 篇 化学
    • 15 篇 系统科学
  • 107 篇 管理学
    • 67 篇 管理科学与工程(可...
    • 46 篇 图书情报与档案管...
    • 28 篇 工商管理
  • 25 篇 医学
    • 20 篇 临床医学
    • 16 篇 基础医学(可授医学...
    • 10 篇 药学(可授医学、理...
  • 8 篇 经济学
    • 8 篇 应用经济学
  • 8 篇 法学
  • 5 篇 教育学
  • 3 篇 农学
  • 2 篇 军事学
  • 2 篇 艺术学
  • 1 篇 文学

主题

  • 15 篇 semantics
  • 10 篇 hadron-hadron sc...
  • 9 篇 deep learning
  • 9 篇 feature extracti...
  • 9 篇 computer vision
  • 9 篇 robustness
  • 8 篇 machine learning
  • 7 篇 object detection
  • 7 篇 optimization
  • 7 篇 students
  • 6 篇 federated learni...
  • 5 篇 interpolation
  • 5 篇 accuracy
  • 5 篇 forecasting
  • 5 篇 data models
  • 4 篇 complex networks
  • 4 篇 semantic segment...
  • 4 篇 distillation
  • 4 篇 computers
  • 4 篇 change detection

机构

  • 49 篇 hubei key labora...
  • 38 篇 national enginee...
  • 25 篇 centro brasileir...
  • 25 篇 istanbul technic...
  • 25 篇 yerevan physics ...
  • 25 篇 department of ph...
  • 24 篇 national and kap...
  • 24 篇 charles universi...
  • 23 篇 universidad iber...
  • 23 篇 brunel universit...
  • 23 篇 university of sp...
  • 23 篇 academy of scien...
  • 23 篇 indian institute...
  • 23 篇 zhejiang univers...
  • 23 篇 school of comput...
  • 22 篇 italian national...
  • 22 篇 konya technical ...
  • 22 篇 università di to...
  • 22 篇 bingol universit...
  • 22 篇 erciyes universi...

作者

  • 70 篇 du bo
  • 35 篇 tao dacheng
  • 23 篇 liu juhua
  • 21 篇 konstantinou s.
  • 20 篇 lethuillier m.
  • 20 篇 pauls a.
  • 20 篇 lehti s.
  • 20 篇 waltenberger w.
  • 20 篇 lowette s.
  • 20 篇 luukka p.
  • 18 篇 ruimin hu
  • 17 篇 tavernier s.
  • 17 篇 hu ruimin
  • 16 篇 ding liang
  • 15 篇 zhong qihuang
  • 15 篇 wang zheng
  • 14 篇 mastrolorenzo l.
  • 14 篇 bo du
  • 13 篇 chen g.m.
  • 13 篇 laktineh i.b.

语言

  • 508 篇 英文
  • 25 篇 其他
  • 11 篇 中文
检索条件"机构=State Key Laboratory Software Engineering and School Computer and Complex Network Research Center"
544 条 记 录,以下是71-80 订阅
排序:
FM-FCN:A Neural network with Filtering Modules for Accurate Vital Signs Extraction
收藏 引用
research 2025年 第1期2024卷 92-106页
作者: Fangfang Zhu Qichao Niu Xiang Li Qi Zhao Honghong Su Jianwei Shuai Department of Physics and Fujian Provincial Key Laboratory for Soft Functional Materials ResearchXiamen UniversityXiamen 361005China National Institute for Data Science in Health and Medicine and State Key Laboratory of Cellular Stress BiologyInnovation Center for Cell Signaling NetworkXiamen UniversityXiamen 361005China Vitalsilicon Technology Co.Ltd. JiaxingZhejiang 314006China School of Computer Science and Software Engineering University of Science and Technology LiaoningAnshan 114051China Yangtze Delta Region Institute of Tsinghua University ZhejiangJiaxing 314006China Wenzhou Institute University of Chinese Academy of SciencesWenzhou 325001China Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine Vision and Brain Health)Wenzhou 325001China
Neural networks excel at capturing local spatial patterns through convolutional modules,but they may struggle to identify and effectively utilize the morphological and amplitude periodic nature of physiological *** th... 详细信息
来源: 评论
Styles Energy Consumption Analysis of Lane-Changing Maneuvers in Autonomous Vehicles: The Role of Driving Styles
SSRN
收藏 引用
SSRN 2024年
作者: Guo, Yu Nie, Guigen Zou, Xiaowei Zhu, Dongliang Gao, Wenliang Liao, Mi GNSS Research Center Wuhan University Wuhan China Hubei Luojia Laboratory Wuhan China National Engineering Research Center for Multimedia Software Hubei Key Laboratory of Multimedia and Network Communication Engineering School of Computer Science Wuhan University Wuhan China
HIGHLIGHTS·Optimized lane-change trajectories considering safety, comfort, and time efficiency.·Developed a model for identifying different lane changing styles to meet personalized driving preferences.·... 详细信息
来源: 评论
An Auto-Parallel Method for Deep Learning Models Based on Genetic Algorithm  29
An Auto-Parallel Method for Deep Learning Models Based on Ge...
收藏 引用
29th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2023
作者: Zeng, Yan Huang, Chengchuang Ni, Yijie Zhou, Chunbao Zhang, Jilin Wang, Jue Zhou, Mingyao Xue, Meiting Zhang, Yunquan Hangzhou Dianzi University School of Computer Science and Technology Hangzhou310018 China Ministry of Education Key Laboratory for Modeling and Simulation of Complex Systems Hangzhou310018 China Data Security Governance Zhejiang Engineering Research Center Hangzhou310018 China Hangzhou Dianzi University School of ITMO Joint Institute Hangzhou310018 China Institute of Computer Network Information Center of the Chinese Academy of Sciences Beijing100086 China HuaWei China Institute of Computing Technology of the Chinese Academy of Sciences State Key Laboratory of Computer Architecture Beijing100086 China
As the size of datasets and neural network models increases, automatic parallelization methods for models have become a research hotspot in recent years. The existing auto-parallel methods based on machine learning or... 详细信息
来源: 评论
Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names
Improving Generalized Zero-Shot Learning by Exploring the Di...
收藏 引用
Conference on computer Vision and Pattern Recognition (CVPR)
作者: Yapeng Li Yong Luo Zengmao Wang Bo Du National Engineering Research Center for Multimedia Software Hubei Key Laboratory of Multimedia and Network Communication Engineering Institute of Artificial Intelligence School of Computer Science Wuhan University Wuhan China Hubei Luojia Laboratory Wuhan China
Generalized Zero-Shot Learning (GZSL) methods often assume that the unseen classes are similar to seen classes, and thus perform poor when unseen classes are dissimilar to seen classes. Although some existing GZSL app... 详细信息
来源: 评论
Scratch Each Other’s Back: Incomplete Multi-modal Brain Tumor Segmentation Via Category Aware Group Self-Support Learning
Scratch Each Other’s Back: Incomplete Multi-modal Brain Tum...
收藏 引用
International Conference on computer Vision (ICCV)
作者: Yansheng Qiu Delin Chen Hongdou Yao Yongchao Xu Zheng Wang National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence School of Computer Science Wuhan University Hubei Key Laboratory of Multimedia and Network Communication Engineering
Although Magnetic Resonance Imaging (MRI) is very helpful for brain tumor segmentation and discovery, it often lacks some modalities in clinical practice. As a result, degradation of prediction performance is inevitab...
来源: 评论
Symmetric Pruning in Quantum Neural networks  11
Symmetric Pruning in Quantum Neural Networks
收藏 引用
11th International Conference on Learning Representations, ICLR 2023
作者: Wang, Xinbiao Liu, Junyu Liu, Tongliang Luo, Yong Du, Yuxuan Tao, Dacheng Institute of Artificial Intelligence School of Computer Science Wuhan University China Pritzker School of Molecular Engineering The University of Chicago United States JD Explore Academy Chicago Quantum Exchange United States Kadanoff Center for Theoretical Physics United States qBraid Co. Sydney AI Centre The University of Sydney Australia National Engineering Research Center for Multimedia Software School of Computer Science Institute of Artificial Intelligence Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University China Hubei Luojia Laboratory Wuhan China
Many fundamental properties of a quantum system are captured by its Hamiltonian and ground state. Despite the significance, ground states preparation (GSP) is classically intractable for most large-scale Hamiltonians.... 详细信息
来源: 评论
Robust Imagined Speech Production Using AI-Generated Content network for Patients with Language Impairments
收藏 引用
IEEE Transactions on Consumer Electronics 2024年
作者: Xu, Xu Fu, Chong Dalian University of Technology School of Software Dalian116621 China Northeastern University School of Computer Science and Engineering Shenyang110004 China Northeastern University Key Laboratory of Intelligent Computing in Medical Image Ministry of Education Shenyang110819 China Ministry of Education Engineering Research Center of Security Technology of Complex Network System Shenyang110004 China
Imagined speech production is critical for brain-computer interface systems. It is able to provide the communication ability for patients with language impairments. Nowadays, many studies have developed algorithms for... 详细信息
来源: 评论
Galliot: Path Merging Based Betweenness Centrality Algorithm on GPU  42
Galliot: Path Merging Based Betweenness Centrality Algorithm...
收藏 引用
42nd IEEE International Conference on computer Communications, INFOCOM 2023
作者: Zheng, Zhigao Zhao, Chen Xie, Peichen Dum, Bo School of Computer Science Wuhan University Wuhan 430072 China National Engineering Research Center for Multimedia Software Wuhan University Wuhan 430072 Chin. Institute of Artificial Intelligence Wuhan University Wuhan 430072 Chin. Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University Wuhan 430072 China Hubei Luojia Laboratory Wuhan 430072 China
Betweenness centrality (BC) is widely used to measure a vertex's significance by using the frequency of a vertex appearing in the shortest path between other vertices. However, most recent algorithms in BC computa... 详细信息
来源: 评论
Semantic-Aware Pseudo-Labeling for Unsupervised Meta-Learning
收藏 引用
IEEE Transactions on Pattern Analysis and Machine Intelligence 2025年 PP卷 PP页
作者: Ouyang, Tianran Dong, Xingping Ye, Mang Du, Bo Shao, Ling Shen, Jianbing Wuhan University School of Computer Science National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan430072 China University of Chinese Academy of Sciences UCAS-Terminus AI Lab Beijing China University of Macau State Key Laboratory of Internet of Things for Smart City Department of Computer and Information Science China
In unsupervised meta-learning, the clustering-based pseudo-labeling approach is an attractive framework, since it is model-agnostic, allowing it to synergize with supervised algorithms to learn from unlabeled data. Ho... 详细信息
来源: 评论
Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Solvers for Math Word Problems
arXiv
收藏 引用
arXiv 2024年
作者: Zhong, Qihuang Wang, Kang Xu, Ziyang Liu, Juhua Ding, Liang Du, Bo School of Computer Science National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University Wuhan430072 China School of Computer Science University of Sydney Sydney2006 Australia
Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks. However, CoT still falls short in dealing with complex math word problems, as it usually su... 详细信息
来源: 评论