Portrait of Yun Wang

Yun Wang

Senior Researcher


I am a senior researcher in the Data, Knowledge, Intelligence (DKI) Area at Microsoft Research Asia. My research lies in the intersection of Information Visualization (VIS), Machine Learning (ML), Human-Computer Interaction (HCI), and Data Science (DS). My work facilitates Human-Data Interaction, Human-AI Collaboration, Data Storytelling, and Design Intelligence through an interdisciplinary approach, focusing on the data-driven design of data storytelling through human-AI co-authoring [G Scholar].


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.


To learn more about our research on AI for Visualization (AI4VIS), check out our survey.


We are hiring intern students!

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



– Recent Publications –


GScholar https://scholar.google.com/citations?user=WCyvEJsAAAAJ&hl=en




– News –

Feb 2022   We have three papers accepted for presentation at ACM CHI 2022, EuroVis 2022, and IUI 2022.

Oct 2021   Our paper on reusing infographic charts was presented at IEEE VIS 2021.

Oct 2021    My Intern Aoyu Wu has been awarded Microsoft Research PhD Fellow.

July 2021   Invited Talk @ ChinaVis 2021: AI-Powered Design of Data Storytelling.

July 2021   Our paper, Multivision: Designing Analytical Dashboards with Deep Learning-Based Recommendation and A Mixed-Initiative Approach to Reusing Infographic Charts is accepted by VIS 2021.

July 2021   Check out our survey on AI4VIS: Survey on Artificial Intelligence Approaches for Data Visualization, accepted by TVCG.

June 2021  Our technique InfoMotion, generating animations automatically from static infographics, is presented at EuroVis 2021.

May 2021   Our Technique LQ2 for automated suggesting of chart layout is presented at CHI 2021.

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 –

[MSRA News] Democratize Data Visualization | Automatic Generation of Visualization and Charts (Chinese Article)

[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