Hanqi Guo 郭翰琦

Assistant Computer Scientist
Mathematics and Computer Science Division
Argonne National Laboratory

9700 S. Cass Ave., Bldg 240
Argonne, IL 60439
E-mail: hguo [at] anl [dot] gov
Phone: 630-252-7225

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Hanqi Guo is an Assistant Computer Scientist at Argonne National Laboratory. Please see my curriculum vitae for more details.


Research Interests

Large-scale scientific data visualization, ensemble simulation data visualization, volume visualization, and multivariate data visualization.

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  • 6/2020. Started a new NSF project on Deep Learning for In Situ Analysis and Visualization, in collaboration with the Ohio State University and University of Notre Dame.
  • 10/2019. InSituNet won the Best Paper Award in IEEE VIS 2019.
  • 05/2018. We are going to give a tutorial on feature tracking in IEEE VIS 2018. Co-organizers are Harsh Bhatia, Tino Weinkauf, Gunther Weber, and Han-Wei Shen.
  • 08/2017. Starting the new position as an Assistant Computer Scientist.
  • 08/2017. Won the 2017 Postdoctoral Performance Award in Basic Research.
  • 07/2017. A paper on dynamically load-balanced parallel particle tracing is accepted by IEEE VIS 2017. This work was done by Jiang Zhang, an Argonne summer student from Peking University.
  • 01/2017. A paper on in situ vortex tracking in superconductor is accepted by PacificVis 2017.
  • 06/2016. We are going to give a tutorial in IEEE VIS 2016: Recent advancement of feature-based flow visualization and analysis. Co-organizers: Jun Tao, Bei Wang, Tino Weinkauf, Christoph Garth. (link)

Recent Selected Publications

  • Wenbin He, Junpeng Wang, Hanqi Guo, Ko-Chih Wang, Han-Wei Shen, Mukund Raj, Youssef S. G. Nashed, and Tom Peterka
    InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations
    IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2019), 26(1):23-33, 2020. (Best Paper Award)
    | DOI | arXiv | PDF (7.5 MB) | Press Release |

  • Wenbin He, Hanqi Guo, Han-Wei Shen, and Tom Peterka
    eFESTA: Ensemble Feature Exploration with Surface Density Estimates
    IEEE Transactions on Visualization and Computer Graphics, 26(4):1716-1731, 2020.
    | DOI | PDF (1.8 MB) | GitHub |

  • Hanqi Guo, Wenbin He, Sangmin Seo, Han-Wei Shen, Emil Mihai Constantinescu, Chunhui Liu, and Tom Peterka
    Extreme-Scale Stochastic Particle Tracing for Uncertain Unsteady Flow Visualization and Analysis
    IEEE Transactions on Visualization and Computer Graphics, 2018. (Accepted)
    | DOI | PDF (1.8 MB) |

  • Xin Liang, Hanqi Guo, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, and Tom Peterka
    Toward Feature Preserving 2D and 3D Vector Field Compression
    In Proceedings of IEEE Pacific Visualization Symposium, Tianjin, China, June 3-5, 2020.
    | DOI | PDF (1.4 MB) |

  • Jiang Zhang, Hanqi Guo, Fan Hong, Xiaoru Yuan, and Tom Peterka
    Dynamic Load Balancing Based on Constrained K-D Tree Decomposition for Parallel Particle Tracing. IEEE Transactions on Visualization and Computer Graphics (VIS '17), 24(1):954-963, 2018. (Argonne summer student work)
    | DOI | PDF (3.5 MB) | Video Preview |

  • Hanqi Guo, Wenbin He, Tom Peterka, Han-Wei Shen, Scott M. Collis, and Jonathan J. Helmus. Finite-Time Lyapunov Exponents and Lagrangian Coherent Structures in Uncertain Unsteady Flows. IEEE Transactions on Visualization and Computer Graphics (PacificVis '16), 22(6):1672-1682, 2016.
    | DOI | PDF (2.8 MB) | Science Highlights |

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