Hanqi Guo is a computer scientist and specializing in visualization, analysis, and machine learning for scientific data. He is an awardee of the DOE Early Career Research Program in 2022. He has received the best paper awards in IEEE VIS, IEEE PacificVis, and ChinaVis, premier conferences in the visualization research community. Please see my curriculum vitae for more details.

I am constantly seeking for outstanding persons for PhD students and PostDocs in my group. Candidates are encouraged to send CV, transcript(s), and statement of research interests to guo.2154 [at] osu [dot] edu.

Awards

• Awardee, DOE Early Career Research Program (ECRP), 2022
• Best Paper Honorable Mention, IEEE VIS, 2022
• Best Short Paper Honorable Mention, IEEE VIS, 2021
• Best Paper Award, IEEE PacificVis, 2021
• Best Paper Award, IEEE VIS, 2019
• Best Paper Honorable Mention, IEEE LDAV, 2018
• Outstanding Postdoctoral Performance Award in Basic Research, Argonne National Laboratory, 2017
• Best Paper Honorable Mention, SIGGRAPH Asia Symposium on Visualization, 2017
• Best Paper Award, ChinaVis, 2016
• Best Poster Honorable Mention, IEEE VIS, 2014

News

• 8/2023. Awarded by the NSF OAC on Collaborative Research: OAC Core: Topology-Aware Data Compression for Scientific Analysis and Visualization, in collaboration with Bei Wang Phillips (U. Utah) and Xin Liang (U. Kentucky)
• 7/2023. Awarded by the NSF CSSI Program for a $3.2M collaborative project together with University of Chicago, Indiana University, and University of Alabama at Birmingham
• 6/2022. Awarded by the DOE Early Career Research Program (ECRP)
• 6/2022. I will be joining the Department of Computer Science and Engineering at the Ohio State University in Fall 2022. I am looking for self-motivated Ph.D. students to join us in Spring/Autumn 2023.

Recent Selected Publications

• Congrong Ren, Xin Liang, and Hanqi Guo
  A Prediction-Traversal Approach for Compressing Scientific Data on Unstructured Meshes with Bounded Error
  Computer Graphics Forum (Proc. EuroVis 2024), 2024. (Accepted)
  | DOI | arXiv |

• Congrong Ren and Hanqi Guo
  Meshing Deforming Spacetime for Visualization and Analysis
  arXiv:2309.02677 [cs.GR], 2023.
  | DOI | arXiv |

• Lin Yan, Xin Liang, Hanqi Guo, Bei Wang
  TopoSZ: Preserving Topology in Error-Bounded Lossy Compression
  IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2023), 30(1):1302-1312, 2024.
  | DOI | arXiv |

• Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd Munson, and Ian Foster
  FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking
  IEEE Transactions on Visualization and Computer Graphics, 27(8):3463-3480, 2021.
  | DOI | arXiv | GitHub | Replicability Stamp | insideHPC News | ECP News |

• Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar Wolfgang Wurster, Tom Peterka
  Reinforcement Learning for Load-balanced Parallel Particle Tracing
  IEEE Transactions on Visualization and Computer Graphics, 29(6):3052-3066, 2023.
  | DOI | arXiv |

All Publications »