Lingyun Yu


Dr. Lingyun Yu is an assistant professor in the Department of Computing (CPT) at the Xi'an Jiaotong-Liverpool University (XJTLU).

She obtained her PhD on Scientific Visualization and Interaction Techniques at the University of Groningen in 2013. After that, she worked as a Lecturer and Associate Professor in Hangzhou Dianzi University, from 2014 to 2017. She worked as a Postdoctoral Research Fellow at the University of Groningen and the University Medical Center Groningen (UMCG) from 2016 to 2019.

Her research focuses on interactive scientific visualization, human-computer interaction and visual storytelling methods, in particular, interacting with scientific visualizations using 3D interaction techniques. She is specifically interested in 3D interaction techniques and HCI techniques through which users can fluidly express their intention to data exploration and explanation.

Personal website:


Recruiting PhD students and Research Assistants

We are building a research lab and looking for highly creative and collaborative students. I also have positions for PhD students and research assistants. For students who are interested in doing projects related to Scientific Visualization, Information Visualization, HCI and Computer Graphics, please feel free to send me an email:

  • Qualifications

    • PhD in Scientific Visualization and Computer Graphics, University of Groningen - 2013
    • M.Eng in Computer Graphics and Virtual Reality, Hangzhou Dianzi University - 2007
    • B.Eng in Computer Science and Technology, Hangzhou Dianzi University - 2004
  • Experience

    • Assistant professor, Xi'an Jiaotong Liverpool University - 2020 to Present
    • Postdoctoral Research Fellow, University of Groningen - 2017 to 2019
    • Postdoctoral Research Fellow, University Medical Center Groningen (UMCG) - 2016 to 2017
    • Associate Professor, Hangzhou Dianzi University - 2016
    • Lecturer, Hangzhou Dianzi University - 2014 to 2015
    • Part-time Lecturer, Xi'an Jiaotong Liverpool University - 2013 to 2014
    • Lecturer, Zhejiang Police College - 2007 to 2008
  • Research interests

    • Interaction Techniques Design
    • Interactive visualization
    • Human-computer interaction
    • Visual storytelling techniques
  • Articles

    • Z. Tian, X. Zhai, G. van Steenpaal, L. Yu, E. Dimara, M. Espadoto, and A. Telea. “Quantitative and Qualitative Comparison of 2D and 3D Projection Techniques for High‐Dimensional Data”. In: Information 12.6 (2021). ISSN: 2078‐2489.
    • H.Glas, J.Kraeima, P.M.A.vanOoijen, F.Spijkervet, L.Yu, and M. Witjes. “Augmented reality visualization for image‐guided surgery: a validation study using a three‐dimensional printed phantom”. In: Journal of Oral and Maxillofacial Surgery (2021). ISSN: 0278‐2391. DOI:
    • L. Besancon, A. Ynnerman, D. F. Keefe, L. Yu, and T. Isenberg. “The State of the Art of Spatial Interfaces for 3D Visualization”. In: Computer Graphics Forum 40.1 (2021), pp. 293–326. DOI: 10.1111/cgf.14189.
    • T. Tang, R. Li, X. Wu, S. Liu, J. Knittel, S. Koch, T. Ertl, L. Yu, P. Ren, and Y. Wu. “PlotThread: Creating Expressive Storyline Visualizations using Reinforcement Learning”. In: IEEE Transactions on Visualization and Computer Graphics 27.2 (2021), pp. 294–303. DOI: 10.1109/TVCG.2020.3030467.
    • J. Yuan, S. Xiang, J. Xia, L. Yu, and S. Liu. “Evaluation of Sampling Methods for Scatterplots”. In: IEEE Transactions on Visualization and Computer Graphics 27.2 (2021), pp. 1720–1730. DOI: 10.1109/TVCG.2020.3030432.
    • Z. Wu, X. Chen, L. Yu, A. Telea, and J. Kosinka. “Co-skeletons: Consistent curve skeletons for shape families”. In: Computer & Graphics 90 (2020), pp. 62–72. ISSN: 0097-8493. DOI: 10.1016/j.cag.2020.05.006.
    • T. Tang, J. Tang, J. Hong, L. Yu, P. Ren, and Y. Wu. “Design guidelines for augmenting short-form videos using animated data visualizations”. In: Journal of Visualization (Apr. 2020). DOI: 10.1007/s12650-020-00644-z.
    • Z. Chen, W. Zeng, Z. Yang, L. Yu, C.-W. Fu, and H. Qu. “LassoNet: Deep Lasso- Selection of 3D Point Clouds”. In: IEEE Transactions on Visualization and Computer Graphics 26.1 (Jan. 2020). 􏰄􏰅DOI: 10.1109/TVCG.2019.2934332.
    • Lonni Besançon, Mickael Sereno, Lingyun Yu, Mehdi Ammi, Tobias Isenberg. Hybrid Touch/Tangible Spatial 3D Data Selection. Computer Graphics Forum, Wiley, 2019, Eurographics Conference on Visualization (EuroVis 2019), 38 (3), pp.553-567. DOI: 10.1111/cgf.13710.
    • T. Tang, S. Rubab, J. Lai, W. Cui, L. Yu, and Y. Wu. "iStoryline: Effective Convergence to Hand-drawn Storylines”. In: IEEE Transactions on Visualization and Computer Graphics 25.1 (July 2019), pp. 769–778. 􏰅􏰆􏰆􏰇ISSN: 1077-2626. DOI􏰃􏰄􏰅: 10.1109/TVCG. 2018.2864899.
    • X. Cai, K. Efstathiou, X. Xie, Y. Wu, Y. Shi, and L. Yu. “A Study of the Effect of Doughnut Chart Parameters on Proportion Estimation Accuracy”. In: Computer Graphics Forum (2018). ISSN􏰅􏰆􏰆􏰇: 1467-8659. 􏰃􏰄DOI􏰅: 10.1111/cgf.13325.
    • D. Punzo, J. van der Hulst, J. Roerdink, J. Fillion-Robin, and L. Yu. “SlicerAstro: A 3-D interactive visual analytics tool for HI data”. In: Astronomy and Computing 19 (2017), pp. 45–59. ISSN􏰅􏰆􏰆􏰇: 2213-1337. 􏰃􏰄􏰅DOI: 10.1016/j.ascom.2017.03.004.
    • L. Yu, K. Efstathiou, P. Isenberg, and T. Isenberg. “CAST: Effective and Efficient User Interaction for Context-Aware Selection in 3D Particle Clouds”. In: IEEE Transactions on Visualization and Computer Graphics 22.1 (Jan. 2016), pp. 886– 895. 􏰅ISSN: 1077-2626. DOI􏰃􏰄􏰅: 10.1109/TVCG.2015.2467202.
    • L. Yu, K. Efstathiou, P. Isenberg, and T. Isenberg. “Efficient Structure-Aware Selection Techniques for 3D Point Cloud Visualizations with 2DOF Input”. In: IEEE Transactions on Visualization and Computer Graphics 18.12 (Dec. 2012), pp. 2245–2254. DOI􏰃􏰄􏰅: 10.1109/TVCG.2012.217.
    • L. Yu, P. Svetachov, P. Isenberg, M. H. Everts, and T. Isenberg. “FI3D: Direct-Touch Interaction for the Exploration of 3D Scientific􏰀 Visualization Spaces”. In: IEEE Transactions on Visualization and Computer Graphics 16.6 (Nov. 2010), pp. 1613– 1622. DOI􏰃􏰄􏰅: 10.1109/TVCG.2010.157.
  • Proceedings

    • J. Tang, L. Yu, T. Tang, X. Shu, L. Ying, Y. Zhou, P. Ren, and Y. Wu. “Narrative Tran‐ sitions in Data Videos”. In: IEEE Vis 2021 ‐ Short Papers. 2021.
    • T. Tang, J. Tang, J. Lai, L. Ying, L. Yu, P. Ren, and Y. Wu. “SmartShots: Enabling Automatic Generation of Videos with Data Visualizations Embedded”. In: The proceeding of ACM Multimedia Conference 2020. 2020.
    • X. Zhai, X. Chen, L. Yu, and A. Telea. “Interactive Axis-based 3D Rotation Specification using Image Skeletons”. In: Proceedings of GRAPP. Jan. 2020, pp. 169–178. DOI: 10.5220/0009149901690178.
    • L. Amabili, J. Kosinka, M. van Meersbergen, P. van Ooijen, J. Roerdink, P. Svetachov, and L. Yu. “Improving Provenance Data Interaction for Visual Storytelling in Medical Imaging Data Exploration”. In: EuroVis 2018 - Short Papers. The Eurographics Association, 2018. DOI􏰃􏰄􏰅: 10.2312/eurovisshort.20181076.
    • J. Guo, Y. Wang, P. Du, and L. Yu. “A Novel Multi-touch Approach for 3D Object Free Manipulation”. In: Next Generation Computer Animation Techniques: Third International Workshop, AniNex 2017, Bournemouth, UK, June 22-23, 2017, Revised Selected Papers. Ed. by J. Chang, J. J. Zhang, N. T. Magnenat, S.-M. Hu, R. Tong, and W. Wang. Cham: Springer International Publishing, 2017, pp. 159– 172. ISBN􏰅􏰆􏰈􏰇: 978-3-319-69487-0. 􏰃􏰄􏰅DOI: 10.1007/978-3-319-69487-0_12.
    • J. Ding, Y. Wang, and L. Yu. “Extraction of Human Body Skeleton Based on Silhouette Images”. In: Education Technology and Computer Science, International Workshop on 1 (2010), pp. 71–74. DOI􏰃􏰄􏰅: 10.1109/ETCS.2010.241.
    • L. Yu, C. Yu, and Y. Wang. “Multi-Projector Seamless Display System Based on PC- Cluster”. In: Proceedings of the 16th International Conference on Arti􏰂ficial Reality and Telexistence–Workshops. ICAT ’06. Washington, DC, USA: IEEE Computer Society, 2006, pp. 125–130. 􏰅􏰆􏰈􏰇ISSN: 0-7695-2754-X. 􏰃􏰄􏰅DOI: 10.1109/ICAT.2006.91.
    • L. Yu, C. Yu, and Y. Wang. “A large-scale display system based on multi-projector”. In: 2006 China-Ireland International Conference on Information and Communications Technologies. 2006.
  • Grants

    • Principal Investigator. Spatial Interaction for Data Exploration, PGRS, XJTLU. 2021.
    • Principal Investigator, Interaction Techniques for Visual Storytelling, RDF, XJTLU (RMB 85,000). 2020.
    • Principal Investigator, Interaction Techniques for Visual Storytelling, PGRS, XJTLU. 2020.
    • Principal Investigator. Structure-Aware Visualization and Interaction Techniques for Point Cloud Big Data, National Natural Science Foundation of China (Grant No. 61502132) (RMB 200,000). 2016 to 2018.
    • Co-applicant. Visual Storytelling of Big Imaging Data, Disruptive Technologies (DTEC) / Joint eScience and Data Science across Top Sectors (the Netherlands eScience Center (NLeSC), NWO-EW, and Dutch Dig- ital Delta) (EUR 260,000). 2017 to 2021.
    • Co-applicant. Research on Key Technologies of Ray Tracing Subdivision Mesh, National Natural Science Foundation of China (Grant No. 61502130) (RMB 210,000). 2016 to 2018.
    • Co-applicant. Research on the Labelling Technologies for Collections of Shapes Driven by Image Data, National Natural Science Foundation of China (Grant No. 61602139) (RMB 210,000). 2017 to 2019.
  • Courses taught

    • CSE413 Information Visualization
    • CSE405 Interactive Systems
    • CSE208 Human-Centric Computing
  • Professional memberships

    • CSIG-VIS member
    • ChinaVis Program Committee member
    • IEEE VIS 2021 Program Committee member
  • Awards and honours

    • Best Paper Honorable Mention Award at IEEE Scientific Visualization (IEEE VIS) 2012
  • 电话

    +86 (0)512 - 88161508
  • 电子邮件
  • 地址

    Dr. Lingyun Yu
    SD463 Department of Computer Science and Software Engineering
    Xi'an Jiaotong-Liverpool University

    Suzhou Dushu Lake Science and Education Innovation District
    Suzhou Industrial Park