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Ngo, Quynh Quang

Quynh Quang Ngo

Herr Dr.

RDM & RSE Manager
Exzellenzcluster IntCDC
Abteilung Visualisierung

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+49 711 685 88623
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Website

Allmandring 19
70569 Stuttgart
Deutschland
Raum: 01.031

Publikationen

2026
1. Cutura, Rene ; Sadler, Sophie ; Ngo, Quynh Quang ; Aupetit, Michaël ; Sedlmair, Michael: ISilDR: Isometric Seriation-based Dimensionality Reduction for Visual Cluster Analysis. In: IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers (IEEE) (2026), S. 1–11
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  BibTeX
  @article{cutura:2026:isildr:, affiliation = {Sedlmair, Michael, Visualisierungsinstitut der Universität Stuttgart}, author = {Cutura, Rene and Sadler, Sophie and Ngo, Quynh Quang and Aupetit, Michaël and Sedlmair, Michael}, doi = {10.1109/tvcg.2026.3694456}, journal = {IEEE Transactions on Visualization and Computer Graphics}, month = {05}, orcid-numbers = {Sedlmair, Michael/0000-0001-7048-9292}, pages = {1-11}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, title = {ISilDR: Isometric Seriation-based Dimensionality Reduction for Visual Cluster Analysis}, url = {https://ieeexplore.ieee.org/abstract/document/11523643}, year = 2026 }
  Link
  https://ieeexplore.ieee.org/abstract/document/11523643
2. Miletić, Filip ; Henkel, Maximilian ; Cutura, Rene ; Sadler, Sophie ; Ngo, Quynh Quang ; Sedlmair, Michael ; Schulte im Walde, Sabine: WoVis: Interactive Visualization of Word Embeddings for Semantic Change in Historical and Dialectal Language Resources. In: Proceedings of the Language Resources and Evaluation Conference : European Language Resources Association (ELRA), 2026, S. 165–176
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  BibTeX
  @inproceedings{miletić:2026:wovis:, affiliation = {Sedlmair, Michael, Visualisierungsinstitut der Universität Stuttgart}, author = {Miletić, Filip and Henkel, Maximilian and Cutura, Rene and Sadler, Sophie and Ngo, Quynh Quang and Sedlmair, Michael and Schulte im Walde, Sabine}, booktitle = {Proceedings of the Language Resources and Evaluation Conference}, doi = {10.63317/3jzkx999kfxq}, orcid-numbers = {Sedlmair, Michael/0000-0001-7048-9292}, pages = {165-176}, publisher = {European Language Resources Association (ELRA)}, title = {WoVis: Interactive Visualization of Word Embeddings for Semantic Change in Historical and Dialectal Language Resources}, url = {https://lrec.elra.info/lrec2026-ws-dialres-17}, year = 2026 }
  Link
  https://lrec.elra.info/lrec2026-ws-dialres-17
2025
1. Künzel, Sebastian ; Geringer, Sergej ; Ngo, Quynh Quang ; Voglreiter, Philip ; Weiskopf, Daniel ; Schmalstieg, Dieter: Potentially Visible Set Generation with the Disocclusion Buffer. In: Proceedings of the SIGGRAPH Asia 2025 Conference Papers. New York, NY, USA : ACM, 2025, S. 1–12
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  @inproceedings{künzel:2025:potentially, address = {New York, NY, USA}, affiliation = {Weiskopf, Daniel, Visualisierungsinstitut der Universität Stuttgart}, author = {Künzel, Sebastian and Geringer, Sergej and Ngo, Quynh Quang and Voglreiter, Philip and Weiskopf, Daniel and Schmalstieg, Dieter}, booktitle = {Proceedings of the SIGGRAPH Asia 2025 Conference Papers}, doi = {10.1145/3757377.3763981}, month = {12}, orcid-numbers = {Geringer, Sergej/0000-0001-5147-9785, Voglreiter, Philip/0000-0003-2314-1511, Weiskopf, Daniel/0000-0003-1174-1026}, pages = {1-12}, publisher = {ACM}, title = {Potentially Visible Set Generation with the Disocclusion Buffer}, url = {https://dl.acm.org/doi/10.1145/3757377.3763981}, year = 2025 }
  Link
  https://dl.acm.org/doi/10.1145/3757377.3763981
2. Sousa Calepso, Aimée ; Kolberg, Jan ; Bances, Enrique ; Garcia, Braulio ; Ngo, Quynh Quang ; Siegert, Jörg ; Schneider, Urs ; Bauernhansl, Thomas ; u. a.: Exoskeletons and Augmented Reality: Opening Pathways to Improved Coordination in Collaborative Tasks. In: Human-Computer Interaction – INTERACT 2025, Lecture Notes in Computer Science. Cham : Springer Nature Switzerland, 2025, S. 489–509
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  @inproceedings{sousa-calepso:2025:exoskeletons, address = {Cham}, affiliation = {Sousa Calepso, Aimée, Visualisierungsinstitut der Universität Stuttgart. Kolberg, Jan, Visualisierungsinstitut der Universität Stuttgart (VISUS). Sedlmair, Michael, Visualisierungsinstitut der Universität Stuttgart}, author = {Sousa Calepso, Aimée and Kolberg, Jan and Bances, Enrique and Garcia, Braulio and Ngo, Quynh Quang and Siegert, Jörg and Schneider, Urs and Bauernhansl, Thomas and Sedlmair, Michael}, booktitle = {Human-Computer Interaction – INTERACT 2025}, doi = {10.1007/978-3-032-04999-5_29}, month = {09}, number = 16108, orcid-numbers = {Sedlmair, Michael/0000-0001-7048-9292}, pages = {489-509}, publisher = {Springer Nature Switzerland}, series = {Lecture Notes in Computer Science}, title = {Exoskeletons and Augmented Reality: Opening Pathways to Improved Coordination in Collaborative Tasks}, url = {https://link.springer.com/chapter/10.1007/978-3-032-04999-5_29}, year = 2025 }
  Link
  https://link.springer.com/chapter/10.1007/978-3-032-04999-5_29
3. Cutura, Rene ; Rave, Hennes ; Ngo, Quynh Quang ; Molchanov, Vladimir ; Linsen, Lars ; Weiskopf, Daniel ; Sedlmair, Michael: SiGrid: Gridifying Scatterplots with Sector-Based Regularization and Hagrid. In: 2025 IEEE Visualization and Visual Analytics (VIS) : IEEE, 2025, S. 131–135
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  @inproceedings{cutura:2025:sigrid:, affiliation = {Weiskopf, Daniel, Visualisierungsinstitut der Universität Stuttgart. Sedlmair, Michael, Visualisierungsinstitut der Universität Stuttgart}, author = {Cutura, Rene and Rave, Hennes and Ngo, Quynh Quang and Molchanov, Vladimir and Linsen, Lars and Weiskopf, Daniel and Sedlmair, Michael}, booktitle = {2025 IEEE Visualization and Visual Analytics (VIS)}, doi = {10.1109/vis60296.2025.00032}, orcid-numbers = {Weiskopf, Daniel/0000-0003-1174-1026, Sedlmair, Michael/0000-0001-7048-9292}, pages = {131-135}, publisher = {IEEE}, title = {SiGrid: Gridifying Scatterplots with Sector-Based Regularization and Hagrid}, url = {https://ieeexplore.ieee.org/document/11298743}, year = 2025 }
  Link
  https://ieeexplore.ieee.org/document/11298743
4. Bauer, Ruben ; Evers, Marina ; Ngo, Quynh Quang ; Reina, Guido ; Frey, Steffen ; Sedlmair, Michael: Voronoi Cell Interface‐Based Parameter Sensitivity Analysis for Labeled Samples. In: Computer Graphics Forum, Wiley (2025)
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  @article{bauer:2025:voronoi, affiliation = {Bauer, Ruben, Visualisierungsinstitut der Universität Stuttgart. Reina, Guido, Visualisierungsinstitut der Universität Stuttgart. Frey, Steffen, Visualisierungsinstitut der Universität Stuttgart. Sedlmair, Michael, Visualisierungsinstitut der Universität Stuttgart}, author = {Bauer, Ruben and Evers, Marina and Ngo, Quynh Quang and Reina, Guido and Frey, Steffen and Sedlmair, Michael}, doi = {10.1111/cgf.70122}, journal = {Computer Graphics Forum}, month = {05}, orcid-numbers = {Reina, Guido/0000-0003-4127-1897, Frey, Steffen/0000-0002-1872-6905, Sedlmair, Michael/0000-0001-7048-9292}, publisher = {Wiley}, title = {Voronoi Cell Interface‐Based Parameter Sensitivity Analysis for Labeled Samples}, url = {https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.70122}, year = 2025 }
  Link
  https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.70122
5. Bauer, Ruben ; Ngo, Quynh Quang ; Reina, Guido ; Frey, Steffen ; Sedlmair, Michael: QVis: Query-based Visual Analysis of Multiscale Patterns in Spatiotemporal Ensembles. In: IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers (IEEE) (2025), S. 1–15
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  @article{bauer:2025:qvis:, affiliation = {Bauer, Ruben, Visualisierungsinstitut der Universität Stuttgart. Reina, Guido, Visualisierungsinstitut der Universität Stuttgart. Frey, Steffen, Visualisierungsinstitut der Universität Stuttgart. Sedlmair, Michael, Visualisierungsinstitut der Universität Stuttgart}, author = {Bauer, Ruben and Ngo, Quynh Quang and Reina, Guido and Frey, Steffen and Sedlmair, Michael}, doi = {10.1109/tvcg.2025.3629575}, journal = {IEEE Transactions on Visualization and Computer Graphics}, orcid-numbers = {Reina, Guido/0000-0003-4127-1897, Frey, Steffen/0000-0002-1872-6905, Sedlmair, Michael/0000-0001-7048-9292}, pages = {1-15}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, title = {QVis: Query-based Visual Analysis of Multiscale Patterns in Spatiotemporal Ensembles}, url = {https://ieeexplore.ieee.org/document/11236970}, year = 2025 }
  Link
  https://ieeexplore.ieee.org/document/11236970
2024
1. Jenadeleh, Mohsen ; Dennig, Frederik L. ; Cutura, René ; Ngo, Quynh Quang ; Keim, Daniel A. ; Sedlmair, Michael ; Saupe, Dietmar: An Image Quality Dataset with Triplet Comparisons for Multi-dimensional Scaling. In: IEEE (Hrsg.) ; IEEE (Hrsg.): 2024 16th International Conference on Quality of Multimedia Experience (QoMEX) : IEEE, 2024, S. 278–281
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  @inproceedings{jenadeleh:2024:image, affiliation = {Cutura, René, Visualisierungsinstitut der Universität Stuttgart. Keim, Daniel A., Universität Konstanz. Sedlmair, Michael, Visualisierungsinstitut der Universität Stuttgart}, author = {Jenadeleh, Mohsen and Dennig, Frederik L. and Cutura, René and Ngo, Quynh Quang and Keim, Daniel A. and Sedlmair, Michael and Saupe, Dietmar}, booktitle = {2024 16th International Conference on Quality of Multimedia Experience (QoMEX)}, doi = {10.1109/qomex61742.2024.10598258}, editor = {IEEE}, orcid-numbers = {Cutura, René/0000-0003-0395-2448, Sedlmair, Michael/0000-0001-7048-9292}, pages = {278-281}, publisher = {IEEE}, title = {An Image Quality Dataset with Triplet Comparisons for Multi-dimensional Scaling}, url = {https://ieeexplore.ieee.org/document/10598258}, year = 2024 }
  Link
  https://ieeexplore.ieee.org/document/10598258
2023
1. Bauer, Ruben ; Ngo, Quynh Quang ; Reina, Guido ; Frey, Steffen ; Flemisch, Bernd ; Hauser, Helwig ; Ertl, Thomas ; Sedlmair, Michael: Visual Ensemble Analysis of Fluid Flow in Porous Media across Simulation Codes and Experiment. In: Transport in Porous Media (2023)
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  @article{bauer2023visual, abstract = {We study the question of how visual analysis can support the comparison of spatio-temporal ensemble data of liquid and gas flow in porous media. To this end, we focus on a case study, in which nine different research groups concurrently simulated the process of injecting CO2 into the subsurface. We explore different data aggregation and interactive visualization approaches to compare and analyze these nine simulations. In terms of data aggregation, one key component is the choice of similarity metrics that define the relationship between different simulations. We test different metrics and find that using the machine-learning model “S4” (tailored to the present study) as metric provides the best visualization results. Based on that, we propose different visualization methods. For overviewing the data, we use dimensionality reduction methods that allow us to plot and compare the different simulations in a scatterplot. To show details about the spatio-temporal data of each individual simulation, we employ a space-time cube volume rendering. All views support linking and brushing interaction to allow users to select and highlight subsets of the data simultaneously across multiple views. We use the resulting interactive, multi-view visual analysis tool to explore the nine simulations and also to compare them to data from experimental setups. Our main findings include new insights into ranking of simulation results with respect to experimental data, and the development of gravity fingers in simulations.}, archiveprefix = {arXiv}, author = {Bauer, Ruben and Ngo, Quynh Quang and Reina, Guido and Frey, Steffen and Flemisch, Bernd and Hauser, Helwig and Ertl, Thomas and Sedlmair, Michael}, doi = {https://doi.org/10.1007/s11242-023-02019-y}, eprint = {2302.05447}, journal = {Transport in Porous Media}, primaryclass = {cs.HC}, title = {Visual Ensemble Analysis of Fluid Flow in Porous Media across Simulation Codes and Experiment}, url = {https://link.springer.com/article/10.1007/s11242-023-02019-y#citeas}, year = 2023 }
  Link
  https://link.springer.com/article/10.1007/s11242-023-02019-y#citeas
2. Chen, Kun-Ting ; Ngo, Quynh Quang ; Kurzhals, Kuno ; Marriott, Kim ; Dwyer, Tim ; Sedlmair, Michael ; Weiskopf, Daniel: Reading Strategies for Graph Visualizations That Wrap Around in Torus Topology. In: Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, ETRA ’23. New York, NY, USA : Association for Computing Machinery, 2023
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  @inproceedings{chen:2023:readingstrategies, address = {New York, NY, USA}, affiliation = {Chen, Kun-Ting, Visualisierungsinstitut der Universität Stuttgart. Kurzhals, Kuno, Visualisierungsinstitut der Universität Stuttgart. Sedlmair, Michael, Visualisierungsinstitut der Universität Stuttgart. Weiskopf, Daniel, Visualisierungsinstitut der Universität Stuttgart}, author = {Chen, Kun-Ting and Ngo, Quynh Quang and Kurzhals, Kuno and Marriott, Kim and Dwyer, Tim and Sedlmair, Michael and Weiskopf, Daniel}, booktitle = {Proceedings of the 2023 Symposium on Eye Tracking Research and Applications}, doi = {10.1145/3588015.3589841}, orcid-numbers = {Chen, Kun-Ting/0000-0002-3217-5724, Kurzhals, Kuno/0000-0003-4919-4582, Sedlmair, Michael/0000-0001-7048-9292, Weiskopf, Daniel/0000-0003-1174-1026}, publisher = {Association for Computing Machinery}, series = {ETRA '23}, title = {Reading Strategies for Graph Visualizations That Wrap Around in Torus Topology}, url = {https://doi.org/10.1145/3588015.3589841}, year = 2023 }
  Link
  https://doi.org/10.1145/3588015.3589841
3. Heyen, Frank ; Ngo, Quynh Quang ; Sedlmair, Michael: Visual Overviews for Sheet Music Structure. In: Proceedings of the 24th International Society for Music Information Retrieval Conference (ISMIR) : ISMIR, 2023, S. 692–699
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  @inproceedings{https://doi.org/10.5281/zenodo.10265383, abstract = {We propose different methods for alternative representation and visual augmentation of sheet music that help users gain an overview of general structure, repeating patterns, and the similarity of segments. To this end, we explored mapping the overall similarity between sections or bars to colors. For these mappings, we use dimensionality reduction or clustering to assign similar segments to similar colors and vice versa. To provide a better overview, we further designed simplified music notation representations, including hierarchical and compressed encodings. These overviews allow users to display whole pieces more compactly on a single screen without clutter and to find and navigate to distant segments more quickly. Our preliminary evaluation with guitarists and tablature shows that our design supports users in tasks such as analyzing structure, finding repetitions, and determining the similarity of specific segments to others.}, author = {Heyen, Frank and Ngo, Quynh Quang and Sedlmair, Michael}, booktitle = {Proceedings of the 24th International Society for Music Information Retrieval Conference (ISMIR)}, copyright = {Creative Commons Attribution 4.0 International}, doi = {10.5281/ZENODO.10265383}, month = {12}, pages = {692-699}, publisher = {ISMIR}, title = {Visual Overviews for Sheet Music Structure}, url = {https://zenodo.org/doi/10.5281/zenodo.10265383}, venue = {Milan, Italy}, year = 2023 }
  Link
  https://zenodo.org/doi/10.5281/zenodo.10265383
2022
1. Ngo, Quynh Quang ; Dennig, Frederik L. ; Keim, Daniel A. ; Sedlmair, Michael: Machine Learning Meets Visualization – Experiences and Lessons Learned. In: it - Information Technology Bd. 64 (2022), S. 169–180
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  @article{NgoDennigKeimSedlmair+2022+169+180, abstract = {In this article, we discuss how Visualization (VIS) with Machine Learning (ML) could mutually benefit from each other. We do so through the lens of our own experience working at this intersection for the last decade. Particularly we focus on describing how VIS supports explaining ML models and aids ML-based Dimensionality Reduction techniques in solving tasks such as parameter space analysis. In the other direction, we discuss approaches showing how ML helps improve VIS, such as applying ML-based automation to improve visualization design. Based on the examples and our own perspective, we describe a number of open research challenges that we frequently encountered in our endeavors to combine ML and VIS.}, author = {Ngo, Quynh Quang and Dennig, Frederik L. and Keim, Daniel A. and Sedlmair, Michael}, doi = {doi:10.1515/itit-2022-0034}, journal = {it - Information Technology}, lastchecked = {2022-09-20}, number = {4-5}, pages = {169–180}, title = {Machine Learning Meets Visualization – Experiences and Lessons Learned}, url = {https://doi.org/10.1515/itit-2022-0034}, volume = 64, year = 2022 }
  Link
  https://doi.org/10.1515/itit-2022-0034
2. Heyen, Frank ; Ngo, Quynh Quang ; Kurzhals, Kuno ; Sedlmair, Michael: Data-Driven Visual Reflection on Music Instrument Practice. In: ACM CHI Workshop on Intelligent Music Interfaces (IMI) : ACM, 2022
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  @inproceedings{heyen2022datadriven, abstract = {We propose a data-driven approach to music instrument practice that allows studying patterns and long-term trends through visualization. Inspired by life logging and fitness tracking, we imagine musicians to record their practice sessions over the span of months or years. The resulting data in the form of MIDI or audio recordings can then be analyzed sporadically to track progress and guide decisions. Toward this vision, we started exploring various visualization designs together with a group of nine guitarists, who provided us with data and feedback over the course of three months.}, author = {Heyen, Frank and Ngo, Quynh Quang and Kurzhals, Kuno and Sedlmair, Michael}, booktitle = {ACM CHI Workshop on Intelligent Music Interfaces (IMI)}, doi = {10.48550/arxiv.2203.13320}, publisher = {ACM}, title = {Data-Driven Visual Reflection on Music Instrument Practice}, url = {https://doi.org/10.48550/arxiv.2203.13320}, year = 2022 }
  Link
  https://doi.org/10.48550/arxiv.2203.13320

Quynh Quang Ngo

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2026

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2025

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2023

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2025

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