咨询与建议

限定检索结果

文献类型

  • 567 篇 会议
  • 520 篇 期刊文献

馆藏范围

  • 1,087 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 754 篇 工学
    • 591 篇 计算机科学与技术...
    • 517 篇 软件工程
    • 153 篇 信息与通信工程
    • 86 篇 控制科学与工程
    • 77 篇 生物工程
    • 67 篇 生物医学工程(可授...
    • 57 篇 机械工程
    • 52 篇 电子科学与技术(可...
    • 50 篇 化学工程与技术
    • 44 篇 光学工程
    • 41 篇 电气工程
    • 26 篇 仪器科学与技术
    • 23 篇 交通运输工程
    • 22 篇 航空宇航科学与技...
    • 19 篇 土木工程
    • 14 篇 建筑学
    • 13 篇 动力工程及工程热...
  • 419 篇 理学
    • 295 篇 数学
    • 95 篇 生物学
    • 72 篇 统计学(可授理学、...
    • 57 篇 物理学
    • 51 篇 化学
    • 29 篇 系统科学
  • 253 篇 管理学
    • 136 篇 管理科学与工程(可...
    • 120 篇 图书情报与档案管...
    • 39 篇 工商管理
  • 43 篇 医学
    • 35 篇 临床医学
    • 28 篇 基础医学(可授医学...
    • 24 篇 药学(可授医学、理...
  • 19 篇 农学
  • 17 篇 法学
    • 15 篇 社会学
  • 7 篇 经济学
  • 6 篇 教育学
  • 4 篇 艺术学
  • 3 篇 文学
  • 2 篇 军事学

主题

  • 64 篇 computer science
  • 57 篇 educational inst...
  • 50 篇 knowledge engine...
  • 50 篇 laboratories
  • 50 篇 educational tech...
  • 39 篇 data mining
  • 27 篇 computer science...
  • 24 篇 ontology
  • 21 篇 image segmentati...
  • 21 篇 semantics
  • 20 篇 feature extracti...
  • 16 篇 genetic algorith...
  • 15 篇 deep learning
  • 14 篇 ontologies
  • 14 篇 topology
  • 13 篇 reinforcement le...
  • 13 篇 clustering algor...
  • 11 篇 support vector m...
  • 11 篇 recommender syst...
  • 11 篇 neural networks

机构

  • 470 篇 college of compu...
  • 273 篇 key laboratory o...
  • 84 篇 key laboratory o...
  • 44 篇 college of softw...
  • 41 篇 key laboratory o...
  • 35 篇 key laboratory o...
  • 32 篇 college of compu...
  • 29 篇 school of artifi...
  • 24 篇 jilin university...
  • 20 篇 jilin university...
  • 19 篇 key laboratory o...
  • 19 篇 key laboratory o...
  • 17 篇 school of comput...
  • 17 篇 key laboratory o...
  • 16 篇 jilin university...
  • 15 篇 key laboratory o...
  • 15 篇 department of co...
  • 15 篇 key laboratory o...
  • 14 篇 key laboratory o...
  • 14 篇 the college of c...

作者

  • 45 篇 yang bo
  • 35 篇 liang yanchun
  • 34 篇 sun geng
  • 31 篇 ouyang dantong
  • 28 篇 dantong ouyang
  • 28 篇 li xiongfei
  • 26 篇 li ximing
  • 25 篇 ouyang jihong
  • 24 篇 yanchun liang
  • 23 篇 niyato dusit
  • 23 篇 bo yang
  • 22 篇 liu dayou
  • 22 篇 yanheng liu
  • 22 篇 liu yanheng
  • 21 篇 li jiahui
  • 20 篇 da-you liu
  • 19 篇 guan renchu
  • 19 篇 zuo wanli
  • 19 篇 dayou liu
  • 18 篇 chen haipeng

语言

  • 1,020 篇 英文
  • 47 篇 其他
  • 20 篇 中文
检索条件"机构=Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education"
1087 条 记 录,以下是91-100 订阅
排序:
Vertical Traffic Scheduling Control Method Based On Dual Fuzzy Neural Network
Vertical Traffic Scheduling Control Method Based On Dual Fuz...
收藏 引用
Complex Systems and Intelligent Science (CSIS-IAC), International Annual Conference on
作者: Xinhao Sun Siqi An Xiaoting Gao Enchang Cui College of Light Industry Liaoning University Shenyang China Key Laboratory of Symbolic Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China
With the complexity of the functions of modern buildings, the problem of vertical traffic in buildings is becoming more and more prominent. As the only vertical transportation, the elevator is a necessary prerequisite...
来源: 评论
Diffuse tumors: Molecular determinants shared by different cancer types
收藏 引用
Computers in Biology and Medicine 2024年 178卷 108703-108703页
作者: Li, Xuan Liu, Dingyun Wu, Zhipeng Xu, Ying Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education College of Computer Science and Technology Jilin University Changchun130012 China School of Medicine Southern University of Science and Technology Shenzhen China
Most cancer types have both diffuse and non-diffuse subtypes, which have rather distinct morphologies, namely scattered tiny tumors vs. one solid tumor, and different levels of aggressiveness. However, the causes for ... 详细信息
来源: 评论
Medical Image Segmentation using PCNN based on Multi-feature Grey Wolf Optimizer Bionic Algorithm
收藏 引用
Journal of Bionic engineering 2021年 第3期18卷 711-720页
作者: Xue Wang Zhanshan Li Heng Kang Yongping Huang Di Gai College of Computer Science and Technology Jilin UniversityChangchun 130012China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin UniversityChangchun 130012China ZICT Technology Co. Ltd.Shenzhen 518063China
Medical image segmentation is a challenging task especially in multimodality medical image *** this paper,an improved pulse coupled neural network based on multiple hybrid features grey wolf optimizer(MFGWO-PCNN)is pr... 详细信息
来源: 评论
ResolvingWord Vagueness with Scenario-guided Adapter for Natural Language Inference
arXiv
收藏 引用
arXiv 2024年
作者: Liu, Yonghao Li, Mengyu Liang, Di Li, Ximing Giunchiglia, Fausto Huang, Lan Feng, Xiaoyue Guan, Renchu Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education College of Computer Science and Technology Jilin University China Fudan University China University of Trento Italy
Natural Language Inference (NLI) is a crucial task in natural language processing that involves determining the relationship between two sentences, typically referred to as the premise and the hypothesis. However, tra... 详细信息
来源: 评论
Medical Scene Graphs and Reasoning
Medical Scene Graphs and Reasoning
收藏 引用
2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021
作者: Cao, Chuxue He, Yiming Chen, Yuzhen Song, Chunli Ling, Hao Guan, Renchu Feng, Xiaoyue Jilin University The Key Laboratory for Symbolic Computation and Knowledge Engineering of the Ministry of Education College of Software Changchun China The Second Hospital of Jilin University Changchun China Jilin University The Key Laboratory for Symbolic Computation and Knowledge Engineering of the Ministry of Education College of Computer Science and Technology Changchun China
Medical scene graph contributes to cognitive tasks such as question answering. An automatic medical scene graph generator can annotate medical images with scene graphs conveniently. An end-to-end model is proposed, wh... 详细信息
来源: 评论
Secure and Energy-efficient Unmanned Aerial Vehicle-enabled Visible Light Communication via A Multi-objective Optimization Approach
arXiv
收藏 引用
arXiv 2024年
作者: Liu, Lingling Wang, Aimin Wu, Jing Lu, Jiao Li, Jiahui Sun, Geng College of Computer Science and Technology Jilin University Changchun130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Changchun130012 China
In this research, a unique approach to provide communication service for terrestrial receivers via using unmanned aerial vehicle-enabled visible light communication is investigated. Specifically, we take into account ... 详细信息
来源: 评论
Relating brain structure images to personality characteristics using 3D convolution neural network
收藏 引用
CAAI Transactions on Intelligence Technology 2021年 第3期6卷 338-346页
作者: Lixian Cao Yanchun Liang Wei Lv Kaechang Park Yasuhiro Miura Yuki Shinomiya Shinichi Yoshida Zhuhai Laboratory of Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Zhuhai College of Jilin UniversityZhuhaiChina Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education College of Computer Science and TechnologyJilin UniversityChangchunChina School of Information&Research Institute Kochi University of TechnologyKochiJapan
The Keras deep learning framework is employed to study MRI brain data in a preliminary analysis of brain structure using a convolutional neural *** results obtained are matched with the content of personality *** Big ... 详细信息
来源: 评论
Learning generalizable agents via saliency-guided features decorrelation  23
Learning generalizable agents via saliency-guided features d...
收藏 引用
Proceedings of the 37th International Conference on Neural Information Processing Systems
作者: Sili Huang Yanchao Sun Jifeng Hu Siyuan Guo Hechang Chen Yi Chang Lichao Sun Bo Yang Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education and School of Artificial Intelligence Jilin University China Department of Computer Science University of Maryland College Park School of Artificial Intelligence Jilin University China Lehigh University Bethlehem Pennsylvania Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education
In visual-based Reinforcement Learning (RL), agents often struggle to generalize well to environmental variations in the state space that were not observed during training. The variations can arise in both task-irrele...
来源: 评论
A Correlated Data-Driven Collaborative Beamforming Approach for Energy-efficient IoT Data Transmission
arXiv
收藏 引用
arXiv 2025年
作者: Li, Yangning Kang, Hui Li, Jiahui Sun, Geng Sun, Zemin Wang, Jiacheng Zhao, Changyuan Niyato, Dusit College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China College of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China College of Computing and Data Science Nanyang Technological University 639798 Singapore College of Computing and Data Science Nanyang Technological University Singapore
An expansion of Internet of Things (IoTs) has led to significant challenges in wireless data harvesting, dissemination, and energy management due to the massive volumes of data generated by IoT devices. These challeng... 详细信息
来源: 评论
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport  25
Enhancing Unsupervised Graph Few-shot Learning via Set Funct...
收藏 引用
Proceedings of the 31st ACM SIGKDD Conference on knowledge Discovery and Data Mining V.1
作者: Yonghao Liu Fausto Giunchiglia Ximing Li Lan Huang Xiaoyue Feng Renchu Guan Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education College of Computer Science and Technology Jilin University Changchun China Department of Information Engineering and Computer Science University of Trento Trento Italy
Graph few-shot learning has garnered significant attention for its ability to rapidly adapt to downstream tasks with limited labeled data, sparking considerable interest among researchers. Recent advancements in graph... 详细信息
来源: 评论