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Hongyun Bao - IEEE Xplore Author Profile
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Hongyun Bao

Publications
7
Citations
36
Publications by Year
20102020
Co-Authors:
Show All Co-Authors (20)
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Hongyun Bao

Affiliation

Institute of Automation
Chinese Academy of Sciences
Beijing, China

Publication Topics

Biography

Hongyun Bao received the B.S. degree from the School of Mathematical Sciences, Capital Normal University, Beijing, China, and the Ph.D. degree from the Institute of Automation, Chinese Academy of Sciences, Beijing, in 2008 and 2013, respectively.,She is a Research Assistant with the Institute of Automation, Chinese Academy of Sciences. Her current research interests include information retrieval, web/text mining, and knowledge engineering.(Based on document published on 28 January 2015).
Publications
7
Citations
36
Publications by Year
20102020
Co-Authors:
Show All Co-Authors (20)
Author's Published Works

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Autosoccer: An Automatic Soccer Live Broadcasting Generator

Chunyang Li;Zhineng Chen;Caiyan Jia;Hongyun Bao;Changsheng Xu

2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
Low-cost live broadcasting is highly anticipated for soccer matches that involve heavy expenses in human and equipment currently. This demo showcases the autoSoccer system to approach the target. It takes a fix-view panoramic soccer video as the input and automatically generates its live broadcasting, which continuously focuses on the most interesting area in the soccer field. To this end, a novel...Show More

Autosoccer: An Automatic Soccer Live Broadcasting Generator

Chunyang Li;Zhineng Chen;Caiyan Jia;Hongyun Bao;Changsheng Xu

Year: 2020 | Conference Paper |

An Empirical Study of Object Detectors and Its Verification on the Embedded Object Detection Model Competition

Junda Ren;Yongkun Du;Zhineng Chen;Fen Xiao;Caiyan Jia;Hongyun Bao

2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
Year: 2020 | Conference Paper |
As one of the most active research fields in computer vision, the performance of object detection has been boosted by recent advancement of deep learning. However, performance improvements are often accompany with more resource consumption, which in turn restricts the application. There has been a rising interest in building object detectors that run well on embedded systems, i.e., with a better t...Show More

An Empirical Study of Object Detectors and Its Verification on the Embedded Object Detection Model Competition

Junda Ren;Yongkun Du;Zhineng Chen;Fen Xiao;Caiyan Jia;Hongyun Bao

Year: 2020 | Conference Paper |

A Novel End-to-End Multiple Tagging Model for Knowledge Extraction

Yunhua Song;Hongyun Bao;Zhineng Chen;Jianquan Ouyang

2019 International Joint Conference on Neural Networks (IJCNN)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
It is an emerging research topic in NLP to joint extraction of knowledge including entities and relations from unstructured text and representing them as meaningful triplets. Despite significant progresses made by recent deep neural network based solutions, these methods still confront the overlapping issue that different relational triplets may have overlapped entities in a sentence, and it is tr...Show More

A Novel End-to-End Multiple Tagging Model for Knowledge Extraction

Yunhua Song;Hongyun Bao;Zhineng Chen;Jianquan Ouyang

Year: 2019 | Conference Paper |

A Novel Hierarchical Convolutional Neural Network for Question Answering over Paragraphs

Suncong Zheng;Hongyun Bao;Jun Zhao;Jie Zhang;Zhenyu Qi;Hongwei Hao

2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
Year: 2015 | Conference Paper |
Cited by: Papers (1) | Patents (1)
The question of classical Factoid Question Answering (FQA) task is always in the form of a single sentence. There also exists another kind of FQA task, whose question is a descriptive paragraph, such as quiz bowl question answering. Recently, some works try to automatically answer paragraph questions by applying machine learning methods. However, these methods neglect the correlation information b...Show More

A Novel Hierarchical Convolutional Neural Network for Question Answering over Paragraphs

Suncong Zheng;Hongyun Bao;Jun Zhao;Jie Zhang;Zhenyu Qi;Hongwei Hao

Year: 2015 | Volume: 1 | Conference Paper |

A Temporal-Topic Model for Friend Recommendations in Chinese Microblogging Systems

Nan Zheng;Shuangyong Song;Hongyun Bao

IEEE Transactions on Systems, Man, and Cybernetics: Systems
Year: 2015 | Volume: 45, Issue: 9 | Journal Article |
Cited by: Papers (32)
Due to its brief form and growing popularity, microblogging is becoming people's favorite choice for seeking information and expressing opinions. Messages received by a user mainly depend on whom the user follows. Thus, recommending users with similar interests may improve the experience quality for information receiving. Since messages posted by microblogging users reflect their interests, and th...Show More

A Temporal-Topic Model for Friend Recommendations in Chinese Microblogging Systems

Nan Zheng;Shuangyong Song;Hongyun Bao

Year: 2015 | Volume: 45, Issue: 9 | Journal Article |

Rigid or Flexible? A New Navigation Approach for Better Consumer Service Based on Knowledge Enhancement

Hongyun Bao;Qiudan Li;Daniel Zeng;Heng Gao

2012 IEEE 12th International Conference on Data Mining Workshops
Year: 2012 | Conference Paper |
With the rapid development of the Internet and E-commerce, online shopping sites are becoming a popular platform for products selling. Shopping sites such as amazon.com, dangdang.com provide consumers with a hierarchical navigation for selecting products easily from overwhelming amount of products. However, those man-made navigations are so general and professional that consumers still need to spe...Show More

Rigid or Flexible? A New Navigation Approach for Better Consumer Service Based on Knowledge Enhancement

Hongyun Bao;Qiudan Li;Daniel Zeng;Heng Gao

Year: 2012 | Conference Paper |

Some features of transmission mechanisms in Bulletin Board System

Weijie Li;Hongyun Bao

9th IEEE International Conference on Cognitive Informatics (ICCI'10)
Year: 2010 | Conference Paper |
Herding in humans is a form of convergent social behavior and one of trends in cognitive sciences. One of issues on herding is transmission mechanisms of thoughts or behaviour between agents, which affects the cognitive abilities of group or organization. In this paper, we try to analyze transmission mechanisms in Bulletin Board System (BBS). BBS is one of the most popular mediums of communication...Show More

Some features of transmission mechanisms in Bulletin Board System

Weijie Li;Hongyun Bao

Year: 2010 | Conference Paper |

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