咨询与建议

限定检索结果

文献类型

  • 352 篇 期刊文献
  • 315 篇 会议

馆藏范围

  • 667 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 449 篇 工学
    • 347 篇 计算机科学与技术...
    • 300 篇 软件工程
    • 96 篇 信息与通信工程
    • 50 篇 电气工程
    • 45 篇 控制科学与工程
    • 44 篇 生物工程
    • 39 篇 化学工程与技术
    • 29 篇 生物医学工程(可授...
    • 26 篇 电子科学与技术(可...
    • 24 篇 机械工程
    • 17 篇 光学工程
    • 16 篇 航空宇航科学与技...
    • 15 篇 建筑学
    • 13 篇 交通运输工程
    • 12 篇 仪器科学与技术
    • 12 篇 土木工程
    • 11 篇 动力工程及工程热...
  • 199 篇 理学
    • 116 篇 数学
    • 50 篇 生物学
    • 43 篇 统计学(可授理学、...
    • 34 篇 物理学
    • 25 篇 化学
    • 14 篇 系统科学
  • 144 篇 管理学
    • 88 篇 管理科学与工程(可...
    • 68 篇 图书情报与档案管...
    • 29 篇 工商管理
  • 30 篇 医学
    • 24 篇 临床医学
    • 19 篇 基础医学(可授医学...
    • 12 篇 药学(可授医学、理...
  • 15 篇 法学
    • 13 篇 社会学
  • 10 篇 农学
  • 9 篇 经济学
  • 3 篇 教育学
  • 3 篇 文学
  • 2 篇 艺术学

主题

  • 35 篇 semantics
  • 21 篇 knowledge engine...
  • 21 篇 training
  • 20 篇 conferences
  • 20 篇 data mining
  • 18 篇 feature extracti...
  • 15 篇 task analysis
  • 14 篇 deep learning
  • 12 篇 data models
  • 11 篇 big data
  • 11 篇 machine learning
  • 10 篇 computational mo...
  • 10 篇 visualization
  • 9 篇 object detection
  • 9 篇 knowledge graph
  • 8 篇 computer science
  • 8 篇 knowledge manage...
  • 8 篇 convolution
  • 8 篇 contrastive lear...
  • 8 篇 predictive model...

机构

  • 89 篇 school of inform...
  • 86 篇 school of comput...
  • 32 篇 college of compu...
  • 31 篇 key laboratory o...
  • 24 篇 key laboratory o...
  • 24 篇 key laboratory o...
  • 22 篇 key laboratory o...
  • 20 篇 key laboratory o...
  • 18 篇 key laboratory o...
  • 14 篇 key labs of data...
  • 14 篇 key laboratory o...
  • 14 篇 key laboratory o...
  • 13 篇 college of compu...
  • 13 篇 pazhou lab
  • 13 篇 department of ma...
  • 12 篇 key laboratory o...
  • 12 篇 key laboratory o...
  • 12 篇 key laboratory o...
  • 11 篇 school of softwa...
  • 10 篇 mininglamp acade...

作者

  • 32 篇 wu xindong
  • 29 篇 du xiaoyong
  • 28 篇 chen hong
  • 23 篇 sun geng
  • 22 篇 xindong wu
  • 21 篇 li cuiping
  • 20 篇 niyato dusit
  • 17 篇 wang meng
  • 17 篇 zhang jing
  • 17 篇 xiaoyong du
  • 15 篇 liu hongyan
  • 15 篇 xuegang hu
  • 15 篇 wang yang
  • 15 篇 li jiahui
  • 15 篇 wang jiacheng
  • 14 篇 he jun
  • 14 篇 chenyang bu
  • 13 篇 meng wang
  • 13 篇 hong chen
  • 13 篇 zhao zhang

语言

  • 611 篇 英文
  • 43 篇 其他
  • 13 篇 中文
检索条件"机构=Key Lab of Data Engineering and Knowledge Engineering of Ministry of Education"
667 条 记 录,以下是341-350 订阅
排序:
Size-fixed group discovery via multi-constrained graph pattern matching
收藏 引用
Information Sciences 2025年 690卷
作者: Guliu Liu Lei Li Guanfeng Liu Xindong Wu Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology) Ministry of Education 230601 Hefei China School of Computer Science and Information Engineering Hefei University of Technology 230601 Hefei China Department of Computing Macquarie University Sydney 2122 Australia
Multi-Constrained Graph Pattern Matching (MC-GPM) aims to match a pattern graph with multiple attribute constraints on its nodes and edges, and has garnered significant interest in various fields, including social-bas...
来源: 评论
Towards Feature Distribution Alignment and Diversity Enhancement for data-Free Quantization
Towards Feature Distribution Alignment and Diversity Enhance...
收藏 引用
IEEE International Conference on data Mining (ICDM)
作者: Yangcheng Gao Zhao Zhang Richang Hong Haijun Zhang Jicong Fan Shuicheng Yan School of Computer Science and Information Engineering Hefei University of Technology Hefei China Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education) & Intelligent Interconnected Systems Laboratory of Anhui Province Hefei University of Technology Hefei China Department of Computer Science Harbin Institute of Technology (Shenzhen) Xili University Town Shenzhen China School of Data Science The Chinese University of Hong Kong Shenzhen China Shenzhen Research Institute of Big Data Shenzhen China National University of Singapore Singapore
To obtain lower inference latency and less memory footprint of deep neural networks, model quantization has been widely employed in deep model deployment, by converting the floating points to low-precision integers. H... 详细信息
来源: 评论
Research on the Loading Method of Logistics Vehicle and Cargo Based on IPSO Algorithm
Research on the Loading Method of Logistics Vehicle and Carg...
收藏 引用
第42届中国控制会议
作者: Zewei Zhao Huqing Wang Zhe Sun Lei Xu Guangfu Gong Xiangpeng Xie Zhixin Sun Post Industry Technology Research and Development Center of the State Posts Bureau (Internet of Things Technology) Nanjing University of Posts and Telecommunications Post Big Data Technology and Application Engineering Research Center of Jiangsu Province Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and Telecommunications
Logistics vehicle and cargo matching problem is a typical combination optimization problem,which has important theoretical and application value in the field of logistics *** proved particle swarm optimization(PSO) al...
来源: 评论
Unsupervised vehicle re-identification with progressive adaptation  29
Unsupervised vehicle re-identification with progressive adap...
收藏 引用
29th International Joint Conference on Artificial Intelligence, IJCAI 2020
作者: Peng, Jinjia Wang, Yang Wang, Huibing Zhang, Zhao Fu, Xianping Wang, Meng College of Information and Science Technology Dalian Maritime University Liaoning Dalian China Pengcheng Laboratory Shenzhen Guangdong China Key Laboratory of Knowledge Engineering with Big Data Ministry of Education Hefei University of Technology China School of Computer Science and Information Engineering Hefei University of Technology China
Vehicle re-identification (reID) aims at identifying vehicles across different non-overlapping cameras views. The existing methods heavily relied on well-labeled datasets for ideal performance, which inevitably causes... 详细信息
来源: 评论
Social Group Query Based on Multi-fuzzy-constrained Strong Simulation
arXiv
收藏 引用
arXiv 2021年
作者: Liu, Guliu Li, Lei Liu, Guanfeng Wu, Xindong Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology Ministry of Education China School of Computer Science and Information Engineering Hefei University of Technology China Department of Computing Macquarie University Australia Mininglamp Academy of Sciences Mininglamp Technology China
Traditional social group analysis mostly uses interaction models, event models, or other methods to identify and distinguish groups. This type of method can divide social participants into different groups based on th... 详细信息
来源: 评论
Multi-scale Graph Convolutional Neural Network for Object Recognition from Point Cloud data  2nd
Multi-scale Graph Convolutional Neural Network for Object Re...
收藏 引用
2nd International Conference on Urban Intelligence and Applications, ICUIA 2020
作者: Lu, Qiang Chen, Chao Teng, Jinfeng Zhang, Chunyuan Huang, Yi Xuan, Shanli Key Laboratory of Knowledge Engineering with Big Data Ministry of Education Hefei University of Technology Hefei230009 China School of Computer and Information Hefei University of Technology Hefei230009 China Anhui Province Key Laboratory of Industry Safety and Emergency Technology Hefei230009 China
How to make robots understand the point cloud data which is collected from the 3D sensor and complete the recognition has become a hot research direction in recent years. In this paper, we propose a new approach to im... 详细信息
来源: 评论
Automatically labeling Aging Scenarios with a Machine Learning Approach  1
收藏 引用
24th International Conference on Human-Computer Interaction, HCII 2022
作者: An, Ning Xu, Yang Gao, Qinglin Zhu, Wenjie Wu, Aoran Chen, Honglin School of Computer Science and Information Engineering Hefei University of Technology Hefei China Key Laboratory of Knowledge Engineering with Big Data of Ministry of Education Hefei University of Technology Hefei China National Smart Eldercare International S&T Cooperation Base Hefei University of Technology Hefei China Intelligent Interconnected Systems Laboratory of Anhui Province Hefei University of Technology Hefei China Shanghai Tianyu Senior Living Service Co. Ltd. Shanghai China School of Basic Courses Bengbu Medical College Bengbu China Management and Business Department Skidmore College Saratoga SpringsNY United States Department of Social Sciences University of Eastern Finland Kuopio70150 Finland
Older adults have diversified needs often associated with particular aging scenarios. People started to use aging scenarios to provide better Smart Eldercare services and develop innovative solutions. The problem is h... 详细信息
来源: 评论
Vehicle Segmentation with Coarse Distance Estimation Based on Monocular Vision
Vehicle Segmentation with Coarse Distance Estimation Based o...
收藏 引用
IEEE International Conference on e-Business engineering (ICEBE)
作者: Fangyuan Xie Pengshuai Yin Zehui Ke Ruizhou Sun Ke Ding Jian Chen Qingyao Wu School of Software Engineering South China University of Technology Guangzhou China Key Laboratory of Big Data and Intelligent Robot Ministry of Education China Pazhou Lab Guangzhou China
With the increasing population of drivers and the popularity of intelligent cars, traffic safety is becoming more concerned. Aiming to reduce the probability of road accidents, many works have explored how to provide ... 详细信息
来源: 评论
I-mRMR: Incremental max-relevance, and min-redundancy feature selection  3rd
I-mRMR: Incremental max-relevance, and min-redundancy featur...
收藏 引用
3rd APWeb and WAIM Joint Conference on Web and Big data, APWeb-WAIM 2019
作者: Xiu, Yeliang Zhao, Suyun Chen, Hong Li, Cuiping Information of School Renmin University of China Beijing China Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education Beijing China
An incremental method of feature selection based on mutual information, called incremental Max-Relevance, and Min-Redundancy (I-mRMR), is presented. I-mRMR is an incremental version of Max-Relevance, and Min-Redundanc... 详细信息
来源: 评论
Online Attentive Kernel-Based Temporal Difference Learning
arXiv
收藏 引用
arXiv 2022年
作者: Yang, Guang Chen, Xingguo Yang, Shangdong Wang, Huihui Dong, Shaokang Gao, Yang The the Jiangsu Key Laboratory of Big Data Security & Intelligent Processing Nanjing University of Posts and Telecommunications National Engineering Laboratory for Agri-Product Quality Traceability Beijing Technology and Business University China The State Key Laboratory for Novel Software Technology Nanjing University China The PCA Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information Ministry of Education Jiangsu Key Lab of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing University of Science and Technology China
With rising uncertainty in the real world, online Reinforcement Learning (RL) has been receiving increasing attention due to its fast learning capability and improving data efficiency. However, online RL often suffers... 详细信息
来源: 评论