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检索条件"机构=A Key Laboratory of Symbolic Computation and Knowledge Engineering"
1206 条 记 录,以下是111-120 订阅
排序:
AHMSA-Net: Adaptive Hierarchical Multi-Scale Attention Network for Micro-Expression Recognition
arXiv
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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
KSSANet: KAN-Driven Spatial-Spectral Attention Networks for Hyperspectral Image Super-Resolution
KSSANet: KAN-Driven Spatial-Spectral Attention Networks for ...
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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
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
arXiv
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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
Deep Feature-Based Text Clustering and Its Explanation  39
Deep Feature-Based Text Clustering and Its Explanation
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39th IEEE International Conference on Data engineering, ICDE 2023
作者: Guan, Renchu Zhang, Hao Liang, Yanchun Giunchiglia, Fausto Huang, Lan Feng, Xiaoyue Jilin University Key Laboratory for Symbol Computation and Knowledge Engineering of the Ministry of Education College of Computer Science and Technology Changchun China University of Trento Disi Trento Italy
Text clustering is a critical step in text data analysis and has been extensively studied by the text mining community. Most existing text clustering algorithms are based on the bag-of-words model, which faces the hig... 详细信息
来源: 评论
Joint-Motion Mutual Learning for Pose Estimation in Video  24
Joint-Motion Mutual Learning for Pose Estimation in Video
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32nd ACM International Conference on Multimedia, MM 2024
作者: Wu, Sifan Chen, Haipeng Yin, Yifang Hu, Sihao Feng, Runyang Jiao, Yingying Yang, Ziqi Liu, Zhenguang College of Computer Science and Technology Jilin University Changchun China A STAR Singapore Singapore Georgia Institute of Technology AtlantaGA United States School of Artificial Intelligence Jilin University Changchun China The State Key Laboratory of Blockchain and Data Security Zhejiang University Hangzhou China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Institute of Blockchain and Data Security Hangzhou China
Human pose estimation in videos has long been a compelling yet challenging task within the realm of computer vision. Nevertheless, this task remains difficult because of the complex video scenes, such as video defocus... 详细信息
来源: 评论
Verifying Diagnosability of Discrete Event System with Logical Formula
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Chinese Journal of Electronics 2020年 第2期29卷 304-311页
作者: GENG Xuena OUYANG Dantong HAN Cheng College of Computer Science and Technology Changchun University of Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering for Ministry of Education Jilin University
Diagnosability is an important property in the field of fault diagnosis. In this paper, a novel approach based on logical formula is proposed to verify diagnosability of Discrete event systems(DESs). CNFFSM is defined... 详细信息
来源: 评论
Computing PUR of Zero-Dimensional Ideals of Breadth at Most One
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Journal of Systems Science & Complexity 2021年 第6期34卷 2396-2409页
作者: PAN Jian SHANG Baoxin LI Zhe ZHANG Shugong School of Mathematics Key Laboratory of Symbolic Computation and Knowledge Engineering(Ministry of Education)Jilin UniversityChangchun 130012China College of Science Northeast Electric Power UniversityJilin 132012China School of Science Changchun University of Science and TechnologyChangchun 130022China
In this paper,for a zero-dimensional polynomial ideal I,the authors prove that k[x_(1),x_(2),…,x_(n)]/I is cyclic if and only if the breadth of I is 0 or ***,the authors present a new algorithm to compute polynomial ... 详细信息
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Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks
arXiv
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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
SSRMamba: Efficient Visual State Space Model for Spectral Super-Resolution
SSRMamba: Efficient Visual State Space Model for Spectral Su...
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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
Nucleus Detection Based on Adversarial Domain Adaptation with Cross-Domain Consistency
Nucleus Detection Based on Adversarial Domain Adaptation wit...
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Medical Artificial Intelligence (MedAI), IEEE International Conference on
作者: Shuyu Guo Lan Huang Lang Li Tian Bai College of Computer Science and Technology (of Jilin University) Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education (of Jilin University) Changchun China
Automatic cell/nucleus detection is a prerequisite for various quantitative analyses on microscopy image. However, previous deep learning methods require enough annotated microscopy images for better performance, whic...
来源: 评论