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Muxin Sun

Publications

Citations

Publications by Year

20162021

Co-Authors:

Shuyuan ChenLin FengShenglan LiuYang LiuHong Qiao

Show All Co-Authors (6)

Muxin Sun

Affiliation

Qianxun Spatial Intelligence Inc., Shanghai, China

Publication Topics

Fusion Method,
Similarity Graph,
Accurate Characterization,
Binary Code,
CNN Features,
Clustering-based Methods,
Content-based Image Retrieval,
Convolutional Layers,
Convolutional Network,
Convolutional Neural Network,
Deep Learning,
Degree Of Motion

Biography

Muxin Sun received the B.S. and M.S. degrees from the School of Computer Science, Dalian University of Technology, Dalian, China, in 2014 and 2017, respectively. He is currently with the Qianxun Spatial Intelligence Inc., Shanghai, China. His research interests include video analysis and machine learning.(Based on document published on 17 April 2020).

Publications

Citations

Publications by Year

20162021

Co-Authors:

Shuyuan Chen
Lin Feng
Shenglan Liu
Yang Liu
Hong Qiao

Show All Co-Authors (6)

Author's Published Works

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Showing 1-3 of 3 results

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Conferences (1)

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Muxin Sun(3)
Lin Feng(3)
Shenglan Liu(3)
Yang Liu(2)
Shuyuan Chen(1)
School of Innovation and Entrepreneurship, Dalian University of Technology, Dalian, China(2)
Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China(2)
State Key Laboratory of Software Architecture, Neusoft Corporation, Shenyang, China(1)
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China(1)
School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning, China(1)
2016 12th World Congress on Intelligent Control and Automation (WCICA)(1)
IEEE Access(1)
IEEE Transactions on Neural Networks and Learning Systems(1)
IEEE(3)
Guilin, China(1)
Fusion Method(2)
Similarity Graph(2)
Accurate Characterization(1)
Binary Code(1)
CNN Features(1)

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Social Neighborhood Graph and Multigraph Fusion Ranking for Multifeature Image Retrieval

Shenglan Liu;Muxin Sun;Lin Feng;Hong Qiao;Shuyuan Chen;Yang Liu

IEEE Transactions on Neural Networks and Learning Systems

Year: 2021 | Volume: 32, Issue: 3 | Journal Article |

Cited by: Papers (8)

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A single feature is hard to describe the content of images from an overall perspective, which limits the retrieval performances of single-feature-based methods in image retrieval tasks. To fully describe the properties of images and improve the retrieval performances, multifeature fusion ranking-based methods are proposed. However, the effectiveness of multifeature fusion in image retrieval has no...Show More

Social Neighborhood Graph and Multigraph Fusion Ranking for Multifeature Image Retrieval

Shenglan Liu;Muxin Sun;Lin Feng;Hong Qiao;Shuyuan Chen;Yang Liu

IEEE Transactions on Neural Networks and Learning Systems

Year: 2021 | Volume: 32, Issue: 3 | Journal Article |

Sensor Network Oriented Human Motion Segmentation With Motion Change Measurement

Yang Liu;Lin Feng;Shenglan Liu;Muxin Sun

IEEE Access

Year: 2018 | Volume: 6 | Journal Article |

Cited by: Papers (8)

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Smart Internet of Things has greatly improved the quality of human life with increasingly intelligent sensor networks. Efficient and accurate human motion time series segmentation is the key issue in human motion analysis and understanding. To realize human motion sequence segmentation, a comprehensive human motion description and an intelligent segmentation algorithm are required. Hence, this pap...Show More

Sensor Network Oriented Human Motion Segmentation With Motion Change Measurement

Yang Liu;Lin Feng;Shenglan Liu;Muxin Sun

IEEE Access

Year: 2018 | Volume: 6 | Journal Article |

Optimal label vector for convolutional neural network

Lin Feng;Muxin Sun;Shenglan Liu;Jun Wu

2016 12th World Congress on Intelligent Control and Automation (WCICA)

Year: 2016 | Conference Paper |

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Convolutional Neural Network(CNN) is a kind of deep learning and it has become a current hot topic in the field of image recognition. In the CNN, Output layer consists of Euclidean Radial Basis Function, unit matrix column as CNN's label vector. The category of the input image can be interpreted as the nearest label vector. This paper addresses a question: what is CNN's optimal label vector? We sh...Show More

Optimal label vector for convolutional neural network

Lin Feng;Muxin Sun;Shenglan Liu;Jun Wu

2016 12th World Congress on Intelligent Control and Automation (WCICA)

Year: 2016 | Conference Paper |

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