咨询与建议

限定检索结果

文献类型

  • 624 篇 期刊文献
  • 597 篇 会议

馆藏范围

  • 1,221 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 868 篇 工学
    • 691 篇 计算机科学与技术...
    • 607 篇 软件工程
    • 185 篇 信息与通信工程
    • 104 篇 控制科学与工程
    • 88 篇 生物工程
    • 73 篇 生物医学工程(可授...
    • 62 篇 机械工程
    • 56 篇 电子科学与技术(可...
    • 55 篇 化学工程与技术
    • 48 篇 电气工程
    • 46 篇 光学工程
    • 27 篇 仪器科学与技术
    • 24 篇 交通运输工程
    • 22 篇 土木工程
    • 22 篇 航空宇航科学与技...
    • 17 篇 建筑学
    • 16 篇 网络空间安全
  • 480 篇 理学
    • 342 篇 数学
    • 106 篇 生物学
    • 83 篇 统计学(可授理学、...
    • 60 篇 物理学
    • 57 篇 化学
    • 34 篇 系统科学
  • 292 篇 管理学
    • 154 篇 管理科学与工程(可...
    • 144 篇 图书情报与档案管...
    • 45 篇 工商管理
  • 50 篇 医学
    • 42 篇 临床医学
    • 32 篇 基础医学(可授医学...
    • 26 篇 药学(可授医学、理...
  • 20 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

  • 66 篇 computer science
  • 57 篇 educational inst...
  • 53 篇 knowledge engine...
  • 53 篇 laboratories
  • 50 篇 educational tech...
  • 42 篇 data mining
  • 28 篇 semantics
  • 27 篇 computer science...
  • 27 篇 ontology
  • 23 篇 image segmentati...
  • 22 篇 feature extracti...
  • 18 篇 deep learning
  • 16 篇 reinforcement le...
  • 16 篇 genetic algorith...
  • 15 篇 artificial intel...
  • 14 篇 ontologies
  • 14 篇 topology
  • 14 篇 clustering algor...
  • 13 篇 support vector m...
  • 12 篇 neural networks

机构

  • 516 篇 college of compu...
  • 283 篇 key laboratory o...
  • 84 篇 key laboratory o...
  • 47 篇 college of softw...
  • 42 篇 key laboratory o...
  • 40 篇 school of artifi...
  • 35 篇 key laboratory o...
  • 32 篇 college of compu...
  • 29 篇 key laboratory o...
  • 26 篇 jilin university...
  • 23 篇 school of comput...
  • 20 篇 jilin university...
  • 19 篇 key laboratory o...
  • 19 篇 key laboratory o...
  • 17 篇 jilin university...
  • 17 篇 department of co...
  • 17 篇 key laboratory o...
  • 15 篇 key laboratory o...
  • 15 篇 the college of c...
  • 15 篇 key laboratory o...

作者

  • 46 篇 yang bo
  • 36 篇 liang yanchun
  • 35 篇 sun geng
  • 33 篇 ouyang dantong
  • 31 篇 dantong ouyang
  • 30 篇 li xiongfei
  • 27 篇 liu dayou
  • 27 篇 ouyang jihong
  • 27 篇 zuo wanli
  • 27 篇 li ximing
  • 26 篇 yanchun liang
  • 24 篇 bo yang
  • 24 篇 liu yanheng
  • 23 篇 niyato dusit
  • 23 篇 yanheng liu
  • 21 篇 chen haipeng
  • 21 篇 huang lan
  • 21 篇 li jiahui
  • 20 篇 guan renchu
  • 19 篇 chang yi

语言

  • 1,126 篇 英文
  • 49 篇 中文
  • 46 篇 其他
检索条件"机构=The Key Laboratory of Symbolic Computation and Knowledge Engineering"
1221 条 记 录,以下是21-30 订阅
排序:
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
Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks  25
Dual-level Mixup for Graph Few-shot Learning with Fewer Task...
收藏 引用
34th ACM Web Conference, WWW 2025
作者: Liu, Yonghao Li, Mengyu Giunchiglia, Fausto Huang, Lan Li, Ximing Feng, Xiaoyue Guan, Renchu College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education China Department of Information Engineering and Computer Science University of Trento Trento Italy
Graph neural networks have been demonstrated as a powerful paradigm for effectively learning graph-structured data on the web and mining content from it. Current leading graph models require a large number of labeled ... 详细信息
来源: 评论
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
arXiv
收藏 引用
arXiv 2025年
作者: Liu, Yonghao Giunchiglia, Fausto Li, Ximing Huang, Lan Feng, Xiaoyue Guan, Renchu College of Computer Science and Technology Jilin University Changchun China Department of Information Engineering and Computer Science University of Trento Trento Italy Key Laboratory of Symbolic Computation and Knowledge Engineering The Ministry of Education China
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
SSRMamba: Efficient Visual State Space Model for Spectral Super-Resolution
SSRMamba: Efficient Visual State Space Model for Spectral Su...
收藏 引用
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Baisong Li Xingwang Wang Haixiao Xu College of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Krowledge Engineering of Ministry of Education Jilin University
Spectral super-resolution, which reconstructs hyperspectral images (HSI) from a single RGB image, has garnered increasing attention. Due to the limitations of CNN structures in spectral modeling and the high computati... 详细信息
来源: 评论
AHMSA-Net: Adaptive Hierarchical Multi-Scale Attention Network for Micro-Expression Recognition
arXiv
收藏 引用
arXiv 2025年
作者: Zhang, Lijun Zhang, Yifan Tang, Weicheng Sun, Xinzhi Wang, Xiaomeng Li, Zhanshan College of Computer Science and Technology Jilin University Changchun Jilin130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun Jilin130012 China
Micro-expression recognition (MER) presents a significant challenge due to the transient and subtle nature of the motion changes involved. In recent years, deep learning methods based on attention mechanisms have made... 详细信息
来源: 评论
Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks
arXiv
收藏 引用
arXiv 2025年
作者: Liu, Yonghao Li, Mengyu Giunchiglia, Fausto Huang, Lan Li, Ximing Feng, Xiaoyue Guan, Renchu College of Computer Science and Technology Jilin University Changchun China Department of Information Engineering and Computer Science University of Trento Trento Italy Key Laboratory of Symbolic Computation and Knowledge Engineering The Ministry of Education China
Graph neural networks have been demonstrated as a powerful paradigm for effectively learning graph-structured data on the web and mining content from it. Current leading graph models require a large number of labeled ... 详细信息
来源: 评论
Information Entropy Invariance: Enhancing Length Extrapolation in Attention Mechanisms
arXiv
收藏 引用
arXiv 2025年
作者: Li, Kewei Kong, Yanwen Xu, Yiping Su, Jianlin Huang, Lan Zhang, Ruochi Zhou, Fengfeng College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Jilin Changchun130012 China Moonshot AI Ltd. Beijing100086 China
Since the emergence of research on improving the length extrapolation capabilities of large models in 2021, some studies have made modifications to the scaling factor in the scaled dot-product attention mechanism as p... 详细信息
来源: 评论
KSSANet: KAN-Driven Spatial-Spectral Attention Networks for Hyperspectral Image Super-Resolution
KSSANet: KAN-Driven Spatial-Spectral Attention Networks for ...
收藏 引用
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Baisong Li Xingwang Wang Haixiao Xu College of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Krowledge Engineering of Ministry of Education Jilin University
Due to the limitations of physical imaging, acquiring high-resolution hyperspectral images (HR-HSIs) has always been a significant challenge. Single hyperspectral image super-resolution (SHSR) technology aims to gener... 详细信息
来源: 评论
Dual-Network Cross-Learning for Metabolite-Disease Association Prediction
IEEE Transactions on Computational Biology and Bioinformatic...
收藏 引用
IEEE Transactions on computational Biology and Bioinformatics 2025年 第2期22卷 545-556页
作者: Yanxin Chen Qiao Ning Yitong Zhang Hui Li Shikai Guo Department of Information Science and Technology Dalian Maritime University Dalian China School of Artificial Intelligence and Computer Science Jiangnan University Wuxi China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Dalian Key Laboratory of Artificial Intelligence Dalian China
In recent years, increasing evidence has demonstrated a close association between metabolites and various complex human diseases, providing valuable insights for disease diagnosis, treatment, and prevention. Although ... 详细信息
来源: 评论
Stochastic Block Models for Complex Network Analysis: A Survey
收藏 引用
ACM Transactions on knowledge Discovery from Data 2025年 第3期19卷 1-35页
作者: Liu, Xueyan Song, Wenzhuo Musial, Katarzyna Li, Yang Zhao, Xuehua Yang, Bo College of Computer Science and Technology Jilin University Changchun China School of Information Science and Technology Northeast Normal University Changchun China Complex Adaptive Systems Lab Data Science Institute University of Technology Sydney Sydney Australia Aviation University of the Air Force Changchun China School of Digital Media Shenzhen Institute of Information Technology Shenzhen China Key Laboratory of Symbolic Computation and Knowledge Engineer Jilin University Ministry of Education Changchun China
Complex networks enable to represent and characterize the interactions between entities in various complex systems which widely exist in the real world and usually generate vast amounts of data about all the elements,... 详细信息
来源: 评论