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

• College of Engineering Lumley Research Award, The Ohio State University, 2026
• Best Paper Award, IEEE LDAV, 2025
• Best Paper Award, IEEE IPDPS, 2025
• 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

• 10/2025. The paper titled Lossy Parallel Visualization of Large-Scale Volume Data with Error-Bounded Image Compositing won the Best Paper Award in IEEE LDAV 2025.
• 5/2025. The paper titled Enabling Efficient Error-controlled Lossy Compression for Unstructured Scientific Data won the Best Paper Award in IEEE IPDPS 2025.
• 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)

Recent Selected Publications

• Yuxiao Li, Xin Liang, Bei Wang, and Hanqi Guo
  Preserving Discrete Morse–Smale Complexes in Error-Bounded Lossy Compression
  IEEE Transactions on Visualization and Computer Graphics, 2026. (In Press)
  | DOI | arXiv |

• Congrong Ren, Robert Underwood, Sheng Di, Emrecan Kutay, Zarija Lukic, Aylin Yener, Franck Cappello, and Hanqi Guo
  FFCz: Fast Fourier Correction for Spectrum-Preserving Lossy Compression of Scientific Data
  In IPDPS '26: Proceedings of the 40th IEEE International Parallel and Distributed Processing Symposium, 2026. (Accepted)
  | DOI | arXiv |

• Yuxiao Li, Mingze Xia, Xin Liang, Bei Wang, Robert Underwood, Sheng Di, Hemant Sharma, Dishant Beniwal, Franck Cappello, and Hanqi Guo
  pMSz: A Distributed Parallel Algorithm for Correcting Morse-Smale Segmentations for Lossy Compression
  In IPDPS '26: Proceedings of the 40th IEEE International Parallel and Distributed Processing Symposium, 2026. (Accepted)
  | DOI | arXiv |

• Congrong Ren, Randy Michael Churchill, Albert Mollén, Robert Hager, Seung-Hoe Ku, Choong-Seock Chang, and Hanqi Guo
  Fast and Invertible Simplicial Approximation of Magnetic-Following Interpolation for Visualizing Fusion Plasma Simulation Data
  Computer Graphics Forum (Proc. EuroVis 2025), 44(3), Article e70120, 2025.
  | DOI | arXiv |

• Yuxiao Li, Xin Liang, Bei Wang, Yongfeng Qiu, Lin Yan, and Hanqi Guo
  MSz: An Efficient Parallel Algorithm for Correcting Morse-Smale Segmentations in Error-Bounded Lossy Compressors
  IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2024), 31(1):130-140, 2025.
  | DOI | arXiv | GitHub |

• 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 |

All Publications »