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检索条件"机构=Key Laboratory of Symbolic Computing and Knowledge Engineering of"
1049 条 记 录,以下是171-180 订阅
Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection
arXiv
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arXiv 2025年
作者: Hao, Pingting Liu, Kunpeng Gao, Wanfu College of Computer Science and Technology Jilin University China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China Department of Computer Science Portland State University PortlandOR97201 United States
In recent years, multi-view multi-label learning (MVML) has gained popularity due to its close resemblance to real-world scenarios. However, the challenge of selecting informative features to ensure both performance a... 详细信息
来源: 评论
Robust Federated Semi-Supervised Learning for Medical Image Classification via Pseudo-Label Filtering
Robust Federated Semi-Supervised Learning for Medical Image ...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Ziwei Wang Shuyu Guo Mingzhu Zhu Tian Bai College of Software Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China College of Computer Science and Technology Jilin University Changchun China
Federated learning (FL) enables collaborative model training across multiple medical institutions to ensure data security. However, due to the variations in medical imaging equipment and regions at different medical i... 详细信息
来源: 评论
Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection  39
Reconsidering Feature Structure Information and Latent Space...
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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025
作者: Pan, Hanlin Liu, Kunpeng Gao, Wanfu College of Computer Science and Technology Jilin University China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China Department of Computer Science Portland State University Portland 97201 OR United States
The purpose of partial multi-label feature selection is to select the most representative feature subset, where the data comes from partial multi-label datasets that have label ambiguity issues. For label disambiguati... 详细信息
来源: 评论
GraCEImpute: A novel graph clustering autoencoder approach for imputation of single-cell RNA-seq data
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Computers in Biology and Medicine 2025年 184卷 109400-109400页
作者: Wang, Yueying Li, Kewei Zhang, Ruochi Fan, Yusi Huang, Lan 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 School of Artificial Intelligence Jilin University Changchun130012 China School of Biology and Engineering Guizhou Medical University Guizhou Guiyang550025 China
Single-cell RNA sequencing (scRNA-seq) technology establishes a unique view for elucidating cellular heterogeneity in various biological systems. Yet the scRNA-seq data is compromised by a high dropout rate due to the... 详细信息
来源: 评论
SpatioTemporal Learning for Human Pose Estimation in Sparsely-Labeled Videos
arXiv
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arXiv 2025年
作者: Jiao, Yingying Wang, Zhigang Wu, Sifan Fan, Shaojing Liu, Zhenguang Xu, Zhuoyue Wu, Zheqi College of Computer Science and Technology Jilin University China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China College of Computer Science and Technology Zhejiang Gongshang University China School of Computing National University of Singapore Singapore The State Key Laboratory of Blockchain and Data Security Zhejiang University China Institute of Blockchain and Data Security China
Human pose estimation in videos remains a challenge, largely due to the reliance on extensive manual annotation of large datasets, which is expensive and labor-intensive. Furthermore, existing approaches often struggl... 详细信息
来源: 评论
WHO IS YOUR RIGHT MIXUP PARTNER IN POSITIVE AND UNLABELED LEARNING  10
WHO IS YOUR RIGHT MIXUP PARTNER IN POSITIVE AND UNLABELED LE...
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10th International Conference on Learning Representations, ICLR 2022
作者: Li, Changchun Li, Ximing Feng, Lei Ouyang, Jihong College of Computer Science and Technology Jilin University China College of Computer Science Chongqing University China Imperfect Information Learning Team RIKEN Center for Advanced Intelligence Project Japan Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education China
Positive and Unlabeled (PU) learning targets inducing a binary classifier from weak training datasets of positive and unlabeled instances, which arise in many real-world applications. In this paper, we propose a novel... 详细信息
来源: 评论
Learning a Coordinated Network for Detail-Refinement Multiexposure Image Fusion
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IEEE Transactions on Circuits and Systems for Video Technology 2023年 第2期33卷 713-727页
作者: Li, Jiawei Liu, Jinyuan Zhou, Shihua Zhang, Qiang Kasabov, Nikola K. Ministry of Education School of Software Engineering Dalian University Key Laboratory of Advanced Design and Intelligent Computing Dalian116622 China Dalian University of Technology School of Software Technology Dalian116024 China Auckland University of Technology Knowledge Engineering and Discovery Research Institute Auckland1010 New Zealand Ulster University Intelligent Systems Research Center LondonderryBT52 1SA United Kingdom
Nowadays, deep learning has made rapid progress in the field of multi-exposure image fusion. However, it is still challenging to extract available features while retaining texture details and color. To address this di... 详细信息
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Improved CS Algorithm and its Application in Parking Space Prediction
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Journal of Bionic engineering 2020年 第5期17卷 1075-1083页
作者: Rui Guo Xuanjing Shen Hui Kang College of Computer Science and Technology Jilin UniversityChangchun 130012China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin UniversityChangchun 130012China
This paper simulates the cuckoo incubation process and flight path to optimize the Wavelet Neural Network(WNN)model,and proposes a parking prediction algorithm based on WNN and improved Cuckoo Search(CS)***,the initia... 详细信息
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Dpdn: A Novel Approach to Mbd with Multiple Observations
SSRN
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SSRN 2023年
作者: Tai, Ran Ouyang, Dantong Liu, Weiting Zhang, Liming 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
Model-based diagnosis (MBD) with multiple abnormal observations poses a significant challenge. To address this, we propose the Dual Principles with Decision Node (DPDN) algorithm. DPDN encompasses two novel principles... 详细信息
来源: 评论
Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection
arXiv
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arXiv 2025年
作者: Pan, Hanlin Liu, Kunpeng Gao, Wanfu College of Computer Science and Technology Jilin University China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China Department of Computer Science Portland State University PortlandOR97201 United States
The purpose of partial multi-label feature selection is to select the most representative feature subset, where the data comes from partial multi-label datasets that have label ambiguity issues. For label disambiguati... 详细信息
来源: 评论