Portrait of Yun Wang

Yun Wang

Senior Researcher

About

I am a researcher in the Data, Knowledge, Intelligence (DKI) Area at Microsoft Research Asia. My research lies in the intersection of Information Visualization (VIS), Human-Computer Interaction (HCI), Machine Learning (ML), and Data Science (DS). My work facilitates human-data interaction and communication through an interdisciplinary approach with advanced AI techniques.

I obtained my Ph.D. from the Department of Computer Science and Engineering of Hong Kong University of Science and Technology under the supervision of Prof. Huamin Qu and Prof. Qiong Luo. During my Ph.D. study, I visited Oxford University as a research scholar, hosted by Prof. Min Chen. Before that, I received my B.Eng. in Software Engineering from Fudan University and B.Sc. in Computer Science (Joint Degree) from University College Dublin.

 

We are hiring intern students!

Please send emails to wangyun@microsoft.com for potential collaborations.

 

 

– Recent Publications –

https://www.microsoft.com/en-us/research/people/wangyun/publications/

 

 

– News –

Nov 2020   Invited Talk @ ChinaVis 2020: (1) Recent Advances of AI for VIS. (2) AI-Powered Design of Visualizations and Infographics.

Oct 2020    We have 2 papers presented at IEEE VIS conference. (1) Chartem: Reviving Chart Images with Data Embedding and (2) Improving Engagement of Animated Visualization with Visual Foreshadowing.

Aug 2020   Invited Talks @ CAD&CG 2020: How to Conduct Research on Data Storytelling

Oct 2019     This year we have 6 papers presented at IEEE VIS conference. I presented three of them!

Jul 2019      Invited Talk @ ChinaVis 2019: Authoring and Assessing Visualizations for Data Storytelling.

Aug 2019    IEEE CG&A has published our viewpoints “An Emotional Response to the Value of Visualization”!

Aug 2019    Our research was featured the cover story of IEEE CG&A. Thanks Gary Singh for the interview!

 

 

 

– Media –

[CG&A – Cover Story] Hungry for data (Interviewed by Gary Singh)

[MSRA News] CHI 2018 Conference Sharing [1] [2] (Chinese)

[HKUST CSE Department – Research Updates] Data Edibilization (Chinese)

[HKUST CSE Department – News] Google Anita Borg Scholarship