WANG Yong's Homepage

Short Biography

WANG Yong (王勇) is currently a tenure-track assistant professor at the School of Information Systems (SIS), Singapore Management University (SMU). He received his PhD degree in July 2018 from Hong Kong University of Science and Technology (HKUST), under the supervision of Professor Qu Huamin. Before that, he received his bachelor degree from Harbin Institute of Technology (HIT) majoring in Automation in 2011, and received his master degree from Huazhong University of Science and Technology (HUST) majoring in Pattern Recognition and Intelligent System in 2014. From 2018 to 2020, he worked as a post-doctoral fellow at the Department of Computer Science and Engineering, HKUST.

His major research interests include Information Visualization, Visual Analytics, Human-computer Interaction and Explainable Machine Learning. His research goal is to develop the cutting-edge visual analytics techniques to facilate big data exploration. His research outputs have been applied in various domains, including network analysis, online education, smart factories, Fintech and public speaking training.


  • [Multiple Positions Available]: I am looking for highly self-motivated PhD/Master Students and Research Assistants/Interns. Drop me an email if you are interested!
  • Sept. 2020: I join Singapore Management University as a tenure-track assistant professor.
  • Aug. 2020: Our paper Tradao is accepted as a short paper by IEEE VIS 2020!
  • July 2020: Our paper on student performance prediction on online learning platforms is accepted by CIKM 2020!
  • July 2020: Three papers are accepted by IEEE VIS 2020!
  • March 2020: Our paper RankBooster is accepted as a short paper by EuroVis 2020!
  • Jan. 2020: EmotionCues (emotion-oriented classroom video summarization) is covered by IEEE Spectrum!
  • Dec. 2019: PlanningVis (production planning in smart factories) is covered by the official WeChat account of Huawei Noah Ark Lab!
  • Dec. 2019: After a Long March of two years, our paper EmotionCues is finally accepted by TVCG!
  • Dec. 2019: Two papers are accepted by CHI 2020, see you in Honolulu!
  • Dec. 2019: Our paper on student performance prediction in interactive online question pools is accepted by LAK 2020!
  • August 2019: Our poster based on our work in the E-learning project won the Best Poster Award of IEEE VIS 19!
  • July 2019: Present our TVCG paper on animated transition in SIGGRAPH 2019 in Los Angeles!
  • July 2019: Our short paper on nonuniform timeslicing of dynamic graphs is also accepted by IEEE VIS 2019!
  • July 2019: My first-author InfoVis paper DeepDrawing and three coauthored papers have been accepted by IEEE VIS 2019! See you in Vancouver!
  • -----more news-----
  • Jan. 2019: Our paper PeerLens has been accepted by CHI 2019!
  • Oct. 2018: Our project on emotion analysis of kids/babies is covered by Japan NHK TV on Oct. 24, 2018: Japanese Version (starting from 3:35m) and English Version (starting from 1:36m)
  • Oct. 2018: Present our TVCG paper on animated transition in IEEE VIS 2018.
  • Oct. 2018: Our paper on using deep learning to evaluate graph drawing readability is accepted by IEEE CGA!
  • June 2018: Give a talk about our business review comparison work in EuroVis 2018.
  • March. 2018: One paper is accepted by EuroVis 2018.
  • Jan. 2018: One coauthored paper is accepted by Micron.
  • Nov. 2017: One coauthored paper is accepted by ACM TiiS.
  • August 2017: Two papers are accepted by ACM TiiS and TVCG respectively.
  • June 2017: One coauthored paper is accepted by IEEEVIS 2017.
  • May 2017: One coauthored paper is accepted by KDD 2017.
  • March 2017: One coauthored paper won IUI best paper Award.
  • June 2016: Workded as a research intern in IBM Thomas J. Watson Research Center from June to December, 2016.
  • Oct. 2015: Present AmbiguityVis in IEEE VIS 2015 at Chicago and worked as a student volunteer.
  • Aug. 2015: Become an IEEE member.
  • July 2015: Our paper "AmbiguityVis: Visualization of Ambiguity in Graph Layouts" is accepted by IEEE InfoVis 2015!

Awards and Honors


  • IEEE VIS 2019 Best Poster Award


  • Funded by the PH-ITF program of Innovation and Technology Commission of Hong Kong


  • ACM IUI 2017 Best Paper Award


  • HKUST Overseas Research Award


  • National Scholarship


  • HUST Postgraduate Scholarship for 3 times


  • Outstanding Student Leader of HUST


  • People's Scholarship for 6 times


  • Second Prize of Bionic Robot Contest of HIT


  • Merit Student of Hunan Province

Working/Research Experience


  • Assistant Professor
  • School of Information Systems, Singapore Management University, Singapore.


  • Post-doctoral Fellow
  • Department of Computer Science and Engineering, HKUST, Hong Kong, China.




  • Research Assistant
  • Research Institute of Intelligent Control and Systems, Harbin Institute of Technology.


  • PC Member of ICPADS 2018, Machine Learning Methods in Visualisation for Big Data 2019, IUI 2020, Machine Learning in Visualisation for Big Data 2020, ChinaVis 2020.
  • Reviewer of CHI 2020, IUI 2020, IEEE VIS 2020, ChinaVis 2020.
  • Reviewer of InfoVis 2019, CHI 2019, IUI 2019, PacificVis 2019 and ChinaVis 2019.
  • Reviewer of PacificVis 2018, VAST 2018, InfoVis 2018, ChinaVis 2018.
  • Reviewer of AAAI 2017, CHI 2017, PacificVis 2017, VAST 2017, ChinaVis 2017, Graph Drawing 2017, IEEE Big Data 2017.
  • Reviewer of IEEE Transaction on Visualization and Computer Graphics, 2017, 2020.
  • Reviewer of ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2017.
  • Reviewer of ACM Transactions on Interactive Intelligent Systems (ACM TiiS), 2017, 2020.
  • Reviewer of VAST 2016, InfoVis 2016, EuroVis 2016, ChinaVis 2016.
  • Reviewer of pacificVis 2015.
  • Reviewer of Micron, 2014.
  • Student volunteer of IEEE VIS 2015.


  • TA for Comp2012: Object-Oriented Programming and Data Structures, 2015 Spring, 2016 Spring.
  • TA for Comp1022p: Introduction to Computing with Java, 2015 Fall.


Address: Room 4048, 80 Stamford Road, Singapore 178902.
E-mail: yongwang [at] smu [dot] edu [dot] sg
Telephone: +65-82268982