I am Linping YUAN (袁林萍), a Ph.D. candidate at HKUST VisLab, at the Department of Computer Science and Engineering of the Hong Kong University of Science and Technology (HKUST), supervised by Prof. Huamin Qu. Before that, I obtained my bachelor’s degree in Software Engineering from Xi’an Jiaotong University (XJTU) in 2019.

My research interests include Augmented Reality (AR), Human-Computer Interaction (HCI), and Data Visualizations.

In the first two years of my Ph.D. journey, I focused on how to leverage deep learning methods to facilitate the design of data visualizations and infographics, with an emphasis on color design. I have published two first-author papers on this topic in a top journal.

Aiming to explore more unknowns and challenge myself, I shifted my interests to AR/VR and have been exploring the intersection of AR/VR, HCI, and visualization since 2020 summer. Currently, I am a core member of VisLab AR/VR Team. My ongoing research projects aim to build an AR/VR-enhanced campus and enrich HKUST members’ living experience with AR/VR techniques and applications.

Latest News

We won the Deloitte ESG Innovation Award in HackUST 2022 (Top prize under the ESG theme). Further details can be found here.
I pass the Ph.D. Qualification Exam! I am a Ph.D. candidate now. My PQE topic is about using AR for real-time tasks and the design of AR user interfaces. The slides can be found here.
My visit to the Zhejiang Lab under the supervision of Prof. Yingcai Wu is over. See you, friends!
Our paper InfoColorizer Interactive Recommendation of Color Palettes for Infographics is accepted by TVCG. The preprint version can be found here.
Our paper Deep Colormap Extraction from Visualizations is accepted by TVCG. The preprint version can be found here.

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InfoColorizer: Interactive Recommendation of Color Palettes for Infographics

Linping Yuan, Ziqi Zhou, Jian Zhao, Yiqiu Guo, Fan Du, Huamin Qu
IEEE Transactions on Visualization and Computer Graphics (2021)

Deep Colormap Extraction from Visualizations

IEEE Transactions on Visualization and Computer Graphics (2021)

SpeechLens: A Visual Analytics Approach for Exploring Speech Strategies with Textural and Acoustic Features

IEEE International Conference on Big Data and Smart Computing in Kyoto, Japan 2019

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