Yifang Wang - IEEE Xplore Author Profile
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Yifang Wang

Publications
10
Citations
90
Publications by Year
20202024
Co-Authors:
Show All Co-Authors (50)
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Yifang Wang

Affiliation

Kellogg School of Management
Northwestern University
Evanston, IL, USA

Publication Topics

Biography

Yifang Wang received the BEng degree in software engineering from Zhejiang University, China, in 2018. She is currently working toward the PhD degree with the Department of Computer Science and Engineering, the Hong Kong University of Science and Technology. Her research interests include visual analytics in social science, visual anomaly detection, and immersive visualization.(Based on document published on 22 March 2021).
Publications
10
Citations
90
Publications by Year
20202024
Co-Authors:
Show All Co-Authors (50)
Author's Published Works

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A Comparative Study on Fixed-Order Event Sequence Visualizations: Gantt, Extended Gantt, and Stringline Charts

Junxiu Tang;Fumeng Yang;Jiang Wu;Yifang Wang;Jiayi Zhou;Xiwen Cai;Lingyun Yu;Yingcai Wu

IEEE Transactions on Visualization and Computer Graphics
Year: 2024 | Volume: 30, Issue: 12 | Journal Article |
We conduct two in-lab experiments (N = 93) to evaluate the effectiveness of Gantt charts, extended Gantt charts, and stringline charts for visualizing fixed-order event sequence data. We first formulate five types of event sequences and define three types of sequence elements: point events, interval events, and the temporal gaps between them. Our two experiments focus on event sequences with a pre...Show More

A Comparative Study on Fixed-Order Event Sequence Visualizations: Gantt, Extended Gantt, and Stringline Charts

Junxiu Tang;Fumeng Yang;Jiang Wu;Yifang Wang;Jiayi Zhou;Xiwen Cai;Lingyun Yu;Yingcai Wu

Year: 2024 | Volume: 30, Issue: 12 | Journal Article |

InnovationInsights: A Visual Analytics Approach for Understanding the Dual Frontiers of Science and Technology

Yifang Wang;Yifan Qian;Xiaoyu Qi;Nan Cao;Dashun Wang

IEEE Transactions on Visualization and Computer Graphics
Year: 2024 | Volume: 30, Issue: 1 | Journal Article |
Cited by: Papers (1)
Science has long been viewed as a key driver of economic growth and rising standards of living. Knowledge about how scientific advances support marketplace inventions is therefore essential for understanding the role of science in propelling real-world applications and technological progress. The increasing availability of large-scale datasets tracing scientific publications and patented invention...Show More

InnovationInsights: A Visual Analytics Approach for Understanding the Dual Frontiers of Science and Technology

Yifang Wang;Yifan Qian;Xiaoyu Qi;Nan Cao;Dashun Wang

Year: 2024 | Volume: 30, Issue: 1 | Journal Article |

HealthPrism: A Visual Analytics System for Exploring Children's Physical and Mental Health Profiles with Multimodal Data

Zhihan Jiang;Handi Chen;Rui Zhou;Jing Deng;Xinchen Zhang;Running Zhao;Cong Xie;Yifang Wang;Edith C.H. Ngai

IEEE Transactions on Visualization and Computer Graphics
Year: 2024 | Volume: 30, Issue: 1 | Journal Article |
Cited by: Papers (2)
The correlation between children's personal and family characteristics (e.g., demographics and socioeconomic status) and their physical and mental health status has been extensively studied across various research domains, such as public health, medicine, and data science. Such studies can provide insights into the underlying factors affecting children's health and aid in the development of target...Show More

HealthPrism: A Visual Analytics System for Exploring Children's Physical and Mental Health Profiles with Multimodal Data

Zhihan Jiang;Handi Chen;Rui Zhou;Jing Deng;Xinchen Zhang;Running Zhao;Cong Xie;Yifang Wang;Edith C.H. Ngai

Year: 2024 | Volume: 30, Issue: 1 | Journal Article |

NeighViz: Towards Better Understanding of Neighborhood Effects on Social Groups with Spatial Data

Yue Yu;Yifang Wang;Qisen Yang;Di Weng;Yongjun Zhang;Xiaogang Wu;Yingcai Wu;Huamin Qu

2023 IEEE Visualization in Data Science (VDS)
Year: 2023 | Conference Paper |
Understanding how local environments influence individual behaviors, such as voting patterns or suicidal tendencies, is crucial in social science to reveal and reduce spatial disparities and promote social well-being. With the increasing availability of large-scale individual-level census data, new analytical opportunities arise for social scientists to explore human behaviors (e.g., political eng...Show More

NeighViz: Towards Better Understanding of Neighborhood Effects on Social Groups with Spatial Data

Yue Yu;Yifang Wang;Qisen Yang;Di Weng;Yongjun Zhang;Xiaogang Wu;Yingcai Wu;Huamin Qu

Year: 2023 | Conference Paper |

Posts with No Response: The Island of Loneliness

Junxiu Tang;Xinhuan Shu;Rui Sheng;Xiaojiao Chen;Yifang Wang;Tan Tang;Yingcai Wu

2023 IEEE VIS Arts Program (VISAP)
Year: 2023 | Conference Paper |
Loneliness and isolation are eternal emotions in human beings. Technological advancements create ample avenues, like social medias, for individuals to articulate themselves and record emotions. However, the sense of loneliness has never vanished, as their expressions are easily buried in the digital stream. We analyze tweets that express loneliness during holiday seasons but receive few responses....Show More

Posts with No Response: The Island of Loneliness

Junxiu Tang;Xinhuan Shu;Rui Sheng;Xiaojiao Chen;Yifang Wang;Tan Tang;Yingcai Wu

Year: 2023 | Conference Paper |

Seek for Success: A Visualization Approach for Understanding the Dynamics of Academic Careers

Yifang Wang;Tai-Quan Peng;Huihua Lu;Haoren Wang;Xiao Xie;Huamin Qu;Yingcai Wu

IEEE Transactions on Visualization and Computer Graphics
Year: 2022 | Volume: 28, Issue: 1 | Journal Article |
Cited by: Papers (17)
How to achieve academic career success has been a long-standing research question in social science research. With the growing availability of large-scale well-documented academic profiles and career trajectories, scholarly interest in career success has been reinvigorated, which has emerged to be an active research domain called the Science of Science (i.e., SciSci). In this study, we adopt an in...Show More

Seek for Success: A Visualization Approach for Understanding the Dynamics of Academic Careers

Yifang Wang;Tai-Quan Peng;Huihua Lu;Haoren Wang;Xiao Xie;Huamin Qu;Yingcai Wu

Year: 2022 | Volume: 28, Issue: 1 | Journal Article |

Interactive Visual Exploration of Longitudinal Historical Career Mobility Data

Yifang Wang;Hongye Liang;Xinhuan Shu;Jiachen Wang;Ke Xu;Zikun Deng;Cameron Campbell;Bijia Chen;Yingcai Wu;Huamin Qu

IEEE Transactions on Visualization and Computer Graphics
Year: 2022 | Volume: 28, Issue: 10 | Journal Article |
Cited by: Papers (15)
The increased availability of quantitative historical datasets has provided new research opportunities for multiple disciplines in social science. In this article, we work closely with the constructors of a new dataset, CGED-Q (China Government Employee Database-Qing), that records the career trajectories of over 340,000 government officials in the Qing bureaucracy in China from 1760 to 1912. We u...Show More

Interactive Visual Exploration of Longitudinal Historical Career Mobility Data

Yifang Wang;Hongye Liang;Xinhuan Shu;Jiachen Wang;Ke Xu;Zikun Deng;Cameron Campbell;Bijia Chen;Yingcai Wu;Huamin Qu

Year: 2022 | Volume: 28, Issue: 10 | Journal Article |

Explore Mindfulness Without Deflection: A Data Art Based On The Book Of Songs

Yifang Wang;Yang Wang;Yifan Cao;Huamin Qu;Junxiu Tang;Yingcai Wu

2021 IEEE VIS Arts Program (VISAP)
Year: 2021 | Conference Paper |
The Book of Songs is regarded as the origin of Chinese literature and has a prolonged impact on Chinese culture, aesthetics, and morality. In this work, we have analyzed the 305 poems in The Book of Songs from different dimensions. We aim to learn how various poetic imageries connect abstract themes and subjective emotions at the micro level, and how the poems connect people today and ancestors to...Show More

Explore Mindfulness Without Deflection: A Data Art Based On The Book Of Songs

Yifang Wang;Yang Wang;Yifan Cao;Huamin Qu;Junxiu Tang;Yingcai Wu

Year: 2021 | Conference Paper |

CloudDet: Interactive Visual Analysis of Anomalous Performances in Cloud Computing Systems

Ke Xu;Yun Wang;Leni Yang;Yifang Wang;Bo Qiao;Si Qin;Yong Xu;Haidong Zhang;Huamin Qu

IEEE Transactions on Visualization and Computer Graphics
Year: 2020 | Volume: 26, Issue: 1 | Journal Article |
Cited by: Papers (20)
Detecting and analyzing potential anomalous performances in cloud computing systems is essential for avoiding losses to customers and ensuring the efficient operation of the systems. To this end, a variety of automated techniques have been developed to identify anomalies in cloud computing. These techniques are usually adopted to track the performance metrics of the system (e.g., CPU, memory, and ...Show More

CloudDet: Interactive Visual Analysis of Anomalous Performances in Cloud Computing Systems

Ke Xu;Yun Wang;Leni Yang;Yifang Wang;Bo Qiao;Si Qin;Yong Xu;Haidong Zhang;Huamin Qu

Year: 2020 | Volume: 26, Issue: 1 | Journal Article |

MARVisT: Authoring Glyph-Based Visualization in Mobile Augmented Reality

Chen Zhu-Tian;Yijia Su;Yifang Wang;Qianwen Wang;Huamin Qu;Yingcai Wu

IEEE Transactions on Visualization and Computer Graphics
Year: 2020 | Volume: 26, Issue: 8 | Journal Article |
Cited by: Papers (35)
Recent advances in mobile augmented reality (AR) techniques have shed new light on personal visualization for their advantages of fitting visualization within personal routines, situating visualization in a real-world context, and arousing users’ interests. However, enabling non-experts to create data visualization in mobile AR environments is challenging given the lack of tools that allow in-situ...Show More

MARVisT: Authoring Glyph-Based Visualization in Mobile Augmented Reality

Chen Zhu-Tian;Yijia Su;Yifang Wang;Qianwen Wang;Huamin Qu;Yingcai Wu

Year: 2020 | Volume: 26, Issue: 8 | Journal Article |

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