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检索条件"机构=Center for Intelligent Multidimensional Data Analysis and Department of Electrical Engineering"
59 条 记 录,以下是1-10 订阅
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An effective method for quantification,visualization,and analysis of 3D cell shape during early embryogenesis
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Quantitative Biology 2025年 第1期13卷 113-126页
作者: Zelin Li Zhaoke Huang Jianfeng Cao Guoye Guan Zhongying Zhao Hong Yan Department of Electrical Engineering City University of Hong KongHong KongChina Centre for Intelligent Multidimensional Data Analysis Limited Hong KongChina Center for Quantitative Biology Peking UniversityBeijingBeijingChina Department of Systems Biology Harvard Medical SchoolBostonMassachusettsUSA Department of Data Science Dana-Farber Cancer InstituteBostonMassachusettsUSA Department of Biology Hong Kong Baptist UniversityHong KongChina State Key Laboratory of Environmental and Biological Analysis Hong Kong Baptist UniversityHong KongChina
Embryogenesis is the most basic process in developmental *** and simply quantifying cell shape is challenging for the complex and dynamic 3D embryonic *** descriptors such as volume,surface area,and mean curvature oft... 详细信息
来源: 评论
LU Decomposition and Generalized Autoone-Takagi Decomposition of Dual Matrices and their Applications
arXiv
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arXiv 2025年
作者: Xu, Renjie Wei, Yimin Yan, Hong Center for Intelligent Multidimensional Data Analysis Hong Kong Science Park Shatin Hong Kong School of Mathematical Sciences Shanghai Key Laboratory of Contemporary Applied Mathematics Fudan University Shanghai200433 China Department of Electrical Engineering Center for Intelligent Multidimensional Data Analysis City University of Hong Kong Hong Kong
This paper uses matrix transformations to provide the Autoone-Takagi decomposition of dual complex symmetric matrices and extends it to dual quaternion η-Hermitian matrices. The LU decomposition of dual matrices is g...
来源: 评论
ELFATT: Efficient Linear Fast Attention for Vision Transformers
arXiv
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arXiv 2025年
作者: Wu, Chong Che, Maolin Xu, Renjie Ran, Zhuoheng Yan, Hong Department of Electrical Engineering Centre for Intelligent Multidimensional Data Analysis City University of Hong Kong Kowloon Hong Kong School of Mathematics and Statistics Guizhou University Guiyang550025 China
The attention mechanism is the key to the success of transformers in different machine learning tasks. However, the quadratic complexity with respect to the sequence length of the vanilla softmax-based attention mecha... 详细信息
来源: 评论
TOWARDS SCALABLE TOPOLOGICAL REGULARIZERS
arXiv
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arXiv 2025年
作者: Wong, Hiu-Tung Lee, Darrick Yan, Hong Centre for Intelligent Multidimensional Data Analysis Science and Technology Park Hong Kong School of Mathematics University of Edinburgh United Kingdom Department of Electrical Engineering City University of Hong Kong Kowloon Hong Kong
Latent space matching, which consists of matching distributions of features in latent space, is a crucial component for tasks such as adversarial attacks and defenses, domain adaptation, and generative modelling. Metr... 详细信息
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Volume Tells: Dual Cycle-Consistent Diffusion for 3D Fluorescence Microscopy De-noising and Super-Resolution
arXiv
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arXiv 2025年
作者: Li, Zelin Wang, Chenwei Huang, Zhaoke Ma, Yiming Zhao, Cunming Zhao, Zhongying Yan, Hong Department of Electrical Engineering City University of Hong Kong Hong Kong Centre for Intelligent Multidimensional Data Analysis Hong Kong Science Park Hong Kong Department of Biology Hong Kong Baptist University Hong Kong
3D fluorescence microscopy is essential for understanding fundamental life processes through long-term live-cell imaging. However, due to inherent issues in imaging principles, it faces significant challenges includin... 详细信息
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data Resolution and Future Challenges in Automated Undersea Cable System Design
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IEEE Network 2025年
作者: Wang, Tianjiao Wang, Xinyu Moran, Bill Wang, Zengfu Zukerman, Moshe Hong Kong Science Park Center for Intelligent Multidimensional Data Analysis Hong Kong Hong Kong The University of Melbourne Department of Electrical and Electronic Engineering MelbourneVIC3010 Australia Research & Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen518057 China Northwestern Polytechnical University School of Automation Xi’an710072 China City University of Hong Kong Department of Electrical Engineering Kowloon Hong Kong
Undersea optical cables form the backbone of global Internet infrastructure, carrying nearly 99% of international Internet data. As demand for high-speed and reliable connectivity continues to grow, optimizing underse... 详细信息
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An effective method for quantification, visualization, and analysis of 3D cell shape during early embryogenesis
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Quantitative Biology 2025年 第1期 134-147页
作者: Zelin Li Zhaoke Huang Jianfeng Cao Guoye Guan Zhongying Zhao Hong Yan Department of Electrical Engineering City University of Hong Kong Centre for Intelligent Multidimensional Data Analysis Limited Center for Quantitative Biology Peking University Department of Systems Biology Harvard Medical School Department of Data Science Dana-Farber Cancer Institute Department of Biology Hong Kong Baptist University State Key Laboratory of Environmental and Biological Analysis Hong Kong Baptist University
Embryogenesis is the most basic process in developmental *** and simply quantifying cell shape is challenging for the complex and dynamic 3D embryonic cells. Traditional descriptors such as volume,surface area, and me...
来源: 评论
Efficient CUR decomposition for interpretable low-rank approximations and imaging applications
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Neurocomputing 2025年 645卷
作者: Abdelgawad, Muhammad A.A. Cheung, Ray C.C. Yan, Hong Department of Electrical Engineering and Centre for Intelligent Multidimensional Data Analysis City University of Hong Kong Hong Kong Department of Electrical Engineering Faculty of Engineering Minia University El-Minia 61517 Egypt
Low-rank approximations based on the selected columns and rows from a given matrix are an alternative approach to singular value decomposition (SVD) and offer more interpretable outputs. They have been successfully us... 详细信息
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Cross-Domain Object Classification Via Successive Subspace Alignment  48
Cross-Domain Object Classification Via Successive Subspace A...
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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
作者: Chen, Kecheng Li, Haoliang Yan, Hong City University of Hong Kong Department of Electrical Engineering Center for Intelligent Multidimensional Data Analysis Kowloon Hong Kong
Recently, successive subspace learning (SSL)-based methods have shown to be effective for the task of visual object classification with mild data desire and mathematically transparent interpretable capability. However... 详细信息
来源: 评论
3D Cellular Segmentation of Live Embryos via Topologically and Biologically Boundary-aware Semi-supervised Learning
3D Cellular Segmentation of Live Embryos via Topologically a...
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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024
作者: Li, Zelin Huang, Zhaoke Yan, Hong City University of Hong Kong Department of Electrical Engineering Hong Kong Centre for Intelligent Multidimensional Data Analysis Hong Kong
3D cellular segmentation of fluorescence images of live embryos is a fundamental step in the analysis of embryonic developmental processes. However, existing fully supervised learning methods (CNN-based) to achieve th... 详细信息
来源: 评论