咨询与建议

限定检索结果

文献类型

  • 298 篇 会议
  • 202 篇 期刊文献
  • 1 册 图书

馆藏范围

  • 501 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 365 篇 工学
    • 224 篇 计算机科学与技术...
    • 170 篇 软件工程
    • 74 篇 信息与通信工程
    • 70 篇 控制科学与工程
    • 36 篇 机械工程
    • 35 篇 电气工程
    • 35 篇 电子科学与技术(可...
    • 31 篇 交通运输工程
    • 28 篇 生物工程
    • 14 篇 仪器科学与技术
    • 14 篇 安全科学与工程
    • 11 篇 动力工程及工程热...
    • 11 篇 化学工程与技术
    • 11 篇 生物医学工程(可授...
    • 11 篇 网络空间安全
    • 10 篇 光学工程
    • 7 篇 材料科学与工程(可...
  • 172 篇 理学
    • 125 篇 数学
    • 34 篇 系统科学
    • 31 篇 生物学
    • 27 篇 统计学(可授理学、...
    • 20 篇 物理学
    • 9 篇 化学
  • 108 篇 管理学
    • 73 篇 管理科学与工程(可...
    • 48 篇 图书情报与档案管...
    • 27 篇 工商管理
  • 22 篇 法学
    • 20 篇 社会学
  • 11 篇 医学
    • 8 篇 基础医学(可授医学...
    • 7 篇 临床医学
  • 6 篇 经济学
    • 6 篇 应用经济学
  • 3 篇 农学
  • 2 篇 文学

主题

  • 21 篇 petri nets
  • 14 篇 web services
  • 12 篇 feature extracti...
  • 11 篇 training
  • 10 篇 data mining
  • 9 篇 graph neural net...
  • 8 篇 conferences
  • 8 篇 throughput
  • 8 篇 rough set theory
  • 7 篇 information syst...
  • 7 篇 support vector m...
  • 7 篇 lattices
  • 7 篇 laboratories
  • 7 篇 mapreduce
  • 7 篇 computational mo...
  • 7 篇 semantics
  • 7 篇 genetic algorith...
  • 6 篇 roads
  • 6 篇 vectors
  • 6 篇 schedules

机构

  • 121 篇 key laboratory o...
  • 78 篇 department of co...
  • 71 篇 the key laborato...
  • 55 篇 key laboratory o...
  • 14 篇 shanghai artific...
  • 13 篇 the key laborato...
  • 13 篇 key laboratory o...
  • 13 篇 department of el...
  • 12 篇 department of el...
  • 11 篇 department of co...
  • 11 篇 key laboratory o...
  • 10 篇 school of engine...
  • 10 篇 school of softwa...
  • 9 篇 department of co...
  • 9 篇 ieee
  • 9 篇 key laboratory o...
  • 8 篇 school of electr...
  • 8 篇 college of compu...
  • 7 篇 college of infor...
  • 7 篇 department of co...

作者

  • 31 篇 changjun jiang
  • 30 篇 zhou mengchu
  • 30 篇 jiang changjun
  • 20 篇 cheng wang
  • 19 篇 yan chungang
  • 18 篇 ding zhijun
  • 16 篇 wang cheng
  • 16 篇 wang hanli
  • 13 篇 li maozhen
  • 13 篇 mengchu zhou
  • 13 篇 miao duoqian
  • 13 篇 chungang yan
  • 12 篇 liu xiwei
  • 11 篇 xiang-yang li
  • 11 篇 zhijun ding
  • 10 篇 liu guanjun
  • 10 篇 shengjie zhao
  • 10 篇 zhao junqiao
  • 9 篇 xiwei liu
  • 9 篇 liu yang

语言

  • 473 篇 英文
  • 21 篇 中文
  • 10 篇 其他
检索条件"机构=The Key Laboratory of Embedded System and Service Computing of the Ministry of Education"
501 条 记 录,以下是1-10 订阅
排序:
Application-Oriented Cloud Workload Prediction:A Survey and New Perspectives
收藏 引用
Tsinghua Science and Technology 2025年 第1期30卷 34-54页
作者: Binbin Feng Zhijun Ding Key Laboratory of Embedded System and Service Computing Ministry of EducationDepartment of Computer Science and TechnologyTongji UniversityShanghai 201804China Key Laboratory of Embedded System and Service Computing Ministry of EducationTongji UniversityDepartment of Computer Science and TechnologyTongji UniversityShanghai 201804China Shanghai Artificial Intelligence Laboratory Shanghai 200232China
Workload prediction is critical in enabling proactive resource management of cloud *** workload prediction is valuable for cloud users and providers as it can effectively guide many practices,such as performance assur... 详细信息
来源: 评论
Locally differentially private high-dimensional data synthesis
收藏 引用
Science China(Information Sciences) 2023年 第1期66卷 25-42页
作者: Xue CHEN Cheng WANG Qing YANG Teng HU Changjun JIANG Key Laboratory of Embedded System and Service Computing (Tongji University) Ministry of Education National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security Tongji University
In local differential privacy(LDP), a challenging problem is the ability to generate highdimensional data while efficiently capturing the correlation between attributes in a dataset. Existing solutions for low-dimensi... 详细信息
来源: 评论
STMGT: A Long-Term Traffic Forecasting Method Based on Spatial-Temporal Multi-View Graph Transformer  24
STMGT: A Long-Term Traffic Forecasting Method Based on Spati...
收藏 引用
5th International Conference on Artificial Intelligence and Computer Engineering, ICAICE 2024
作者: Zheng, Fengkai The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China
Accurate long-term traffic forecasting is crucial for urban traffic management and planning. Existing methods focus mainly on short-term predictions and struggle with long-term spatial-temporal dependencies due to com... 详细信息
来源: 评论
Will the fibers of the future be considered fibers?
收藏 引用
National Science Review 2024年 第10期11卷 15-17页
作者: Dewen Xu Ya Liu Hailiang Wang Wei Yan Changjun Jiang Meifang Zhu State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and Engineering Donghua University Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Department of Computer Science and Technology Tongji University
Fiber materials are key materials that have changed human history and promoted the progress of human civilization. In ancient times, humans used feathers and animal skins for clothing, and later they widely employed n... 详细信息
来源: 评论
Adaptive Random Forest with Dynamic Detectors for Evolving Data Stream Classification  23
Adaptive Random Forest with Dynamic Detectors for Evolving D...
收藏 引用
9th International Conference on computing and Artificial Intelligence, ICCAI 2023
作者: Jin, Xuancheng Zhang, Yaying Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China
Evolving data streams containing concept drift breaks the assumption that data are independent and identically distributed (IID) in traditional machine learning models. A series of ensemble-based models have been adap... 详细信息
来源: 评论
A perspective on Petri Net learning
收藏 引用
Frontiers of Computer Science 2023年 第6期17卷 1-3页
作者: Hongda QI Changjun JIANG Key Laboratory of Embedded System and Service Computing(Ministry of Education) Tongji UniversityShanghai 201804China National(Province-Ministry Joint)Collaborative Innovation Center for Financial Network Security Tongji UniversityShanghai 201804China
Petri Nets(PNs)are used for modeling and analyzing discreteevent systems,such as communication protocols,trafficsystems,human-computer interaction,and fault ***’state space explosion problem means that the state spac... 详细信息
来源: 评论
3DGCformer: 3-Dimensional Graph Convolutional transformer for multi-step origin–destination matrix forecasting
收藏 引用
Applied Intelligence 2025年 第6期55卷 1-18页
作者: Huang, Yiou Deng, Hao Zhao, Shengjie School of Computer Science and Technology Tongji University Shanghai China Key Laboratory of Embedded System and Service Computing Shanghai China Engineering Research Center of Key Software Technologies for Smart City Perception and Planning Ministry of Education Shanghai China
Forecasting Human mobility is of great significance in the simulation and control of infectious diseases like COVID-19. To get a clear picture of potential future outbreaks, it is necessary to forecast multi-step Ori... 详细信息
来源: 评论
TAGnn: Time Adjoint Graph Neural Network for Traffic Forecasting  28th
TAGnn: Time Adjoint Graph Neural Network for Traffic Foreca...
收藏 引用
28th International Conference on Database systems for Advanced Applications, DASFAA 2023
作者: Zheng, Qi Zhang, Yaying The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai200092 China
Spatial-temporal modeling considering the particularity of traffic data is a crucial part of traffic forecasting. Many methods take efforts into relatively independent time series modeling and spatial mining and then ... 详细信息
来源: 评论
A Novel Neighborhood-Weighted Sampling Method for Imbalanced Datasets
收藏 引用
Chinese Journal of Electronics 2022年 第5期31卷 969-979页
作者: GUANG Mingjian YAN Chungang LIU Guanjun WANG Junli JIANG Changjun Key Laboratory of Embedded System and Service Computing Tongji University Ministry of Education National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security Tongji University
The weighted sampling methods based on k-nearest neighbors have been demonstrated to be effective in solving the class imbalance problem. However,they usually ignore the positional relationship between a sample and th... 详细信息
来源: 评论
Adaptive Granulation for Efficient Classification on Noise Labeled Images  9
Adaptive Granulation for Efficient Classification on Noise L...
收藏 引用
9th IEEE International Conference on Computational Intelligence and Applications, ICCIA 2024
作者: Cai, Kecan Zhang, Hongyun Miao, Duoqian Tongji University Department of Computer Science and Technology Shanghai China Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai China
Current semi-supervised learning-based sample selection methods for noisy label image classification typically utilize all clean and noisy samples for model training. However, not all noisy samples contribute positive... 详细信息
来源: 评论