Dr. Guanpeng Li

Assistant Professor
Computer Science, University of Iowa

I am an assistant professor in the Computer Science Department at the University of Iowa since 2020. I received PhD and BASc degrees from the University of British Columbia (UBC) in 2019 and 2014. Before joining the University of Iowa, I also visited the University of Illinois Urbana-Champaign (UIUC) between 2019 and 2020. My research focuses on building dependable computer systems. In the past, my students and/or I have won the Best Paper Awards (or finalists) at SC, DSN, and ISSRE conferences in 2022, 2021, 2020 and 2018. I am also on the DSN Hall of Fame.

Research Interests

  • HPC Fault Tolerance

  • Lossy Compression

  • Safety of Automonous Driving Systems

  • Machine Learning Dependability


  • 11/2022 [Service]: Serve as PC on HPDC'23.

  • 11/2022 [Paper]: Our paper about feature-driven fixed-ratio lossy compression is accepted at ICDE'23. Congratulations, Hasan!

  • 11/2022 [Paper]: One paper about ML fault injection accepted at PRDC'22, and one paper about AV safety monitor accepted at QRS'22.

  • 08/2022 [Service]: Serve as the committee member in the PC Chairs' team of IPDPS'23

  • 08/2022 [Student]: Welcome Xiaokai and Zhengyang who join our group as PhD students. Welcome!

  • 07/2022 [Student]: Rachael Chen joins our group as a high school summer intern. Welcome!

  • 07/2022 [Award]: Our SC'22 paper has been nominated for the best paper and the best student paper awards at SC'22. Congratulations, Yafan.

  • 07/2022 [Funding]: Our NSF OAC CORE proposal about lossy compression has been funded. Thanks, NSF.

  • 07/2022 [Service]: Serve as PC on DSN'23, submit your best paper.

  • 06/2022 [Paper]: One paper accepted at SC'22. The work was done in collaboration with Baidu USA and Argonne National Lab. Congratulations, Yafan!

  • 05/2022 [Paper]: Our paper about fault injection for TensorFlow Applications is accepted at TDSC.

  • 01/2022 [Service]: Serve as PC on HPDC'22, LCTES'22, Middleware'22, PRDC'22 and ISSRE'22, please consider to submit your work!

  • 11/2021 [Paper]: One paper accepted at VLDB'22.

  • 06/2021 [Paper]: Our paper, Peppa-X, is accepted at SC'21. The work was done in collaboration with Baidu USA.

  • 06/2021 [Award]: Our paper, PID-Piper, wins Best Paper Award at DSN'21.

  • 06/2021 [Award]: Our paper, Ranger, wins Best Paper Runner-Up Award at DSN'21.

  • 03/2021 [Paper]: Two papers (PID-Piper and Ranger) are accepted at DSN'21.

  • 10/2020 [Award]: Our paper, AV-Fuzzer, wins Best Paper Award at ISSRE'20. The work was done in collaboration with Nvidia Research.

Selected Publications (Full List)

HPC Fault Tolerance

  • [SC'22] Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs
    Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello
    Best Paper Award Finalist; Best Student Paper Award Finalist

  • [SC'21] Peppa-X: Finding Program Test Inputs to Bound Silent Data Corruption Vulnerability in HPC Applications
    Md Hasanur Rahman, Aabid Shamji, Shengjian Guo, Guanpeng Li

  • [SC'20] GPU-TRIDENT: Efficient Modeling of Error Propagation in GPU Programs
    Abdul Rehman Anwer, Guanpeng Li, Karthik Pattabiraman, Michael Sullivan, Timothy Tsai and Siva Hari

  • [DSN'18] Modeling Soft-Error Propagation in Programs
    Guanpeng Li, Karthik Pattabiraman, Siva Hari, Mike Sullivan, and Tim Tsai
    Best Paper Award Runner-Up

Lossy Compression

  • [ICDE'23] A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets
    Md Hasanur Rahman, Sheng Di, Kai Zhao, Robert Underwood, Guanpeng Li, Franck Cappello

  • [VLDB'22] COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression
    Sian Jin, Chengming Zhang, Jiannan Tian, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao

Safety of Autonomous Driving Systems

  • [DSN'21] PID-Piper: Recovering Robotic Vehicles from Physical Attacks
    Pritam Dash, Guanpeng Li, Zitao Chen, Mehdi Karimibiuki, and Karthik Pattabiraman
    Best Paper Award

  • [ISSRE'20] AV-Fuzzer: Finding Safety Violations in Autonomous Driving Systems.
    Guanpeng Li, Yiran Li, Saurabh Jha, Tim Tsai, Mike Sullivan, Siva Hari, Zbigniew Kalbarczyk and Ravi Iyer
    Best Paper Award

Machine Learning Dependability

  • [DSN'21] A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction
    Zitao Chen, Guanpeng Li, and Karthik Pattabiraman
    Best Paper Award Runner-Up

  • [SC'19] BinFI: An Efficient Fault Injector for Safety-Critical Machine Learning Systems
    Zitao Chen, Guanpeng Li, Karthik Pattabiraman, and Nathan DeBardeleben

  • [SC'17] Understanding Error Propagation in Deep-Learning Neural Network (DNN) Accelerators and Applications
    Guanpeng Li, Siva Hari, Mike Sullivan, Tim Tsai, Karthik Pattabiraman, Joel Emer, and Steve Keckler


Email: guanpeng-li@uiowa.edu