Yafan Huang

About Me

I am a Ph.D. candidate in Computer Science from the University of Iowa (since 2021), where I was advised by Guanpeng Li. I am also a visiting graduate student in Argonne National Laboratory advised by Sheng Di and Franck Cappello (since 2021). Before coming to UIowa, I earned my Master’s degree in Computer Science from Huazhong University of Science and Technology (2018 - 2021) , and my Bachelor’s degree in Software Engineering from Hunan University (2014 - 2018).

My research generally lies in High-Performance Computing (HPC), with a specific focus on:

• Data Compression: GPU Compression, In-situ Compression, Compression for Science
• Fault Tolerance: HPC Resilience, Software-directed Fault Tolerance
• Parallel Computing: Massive Parallelism, Parallel Reduction, Data-flow Architecture
• Compiler Optimization: Program Analysis, Code Transformation, IR Optimization

My research has been recognized with the 2025 ACM-IEEE CS George Michael Memorial HPC Fellowship and nominations for Best Paper or Best Student Paper Awards at SC’22, SC’24, and ICS’25.

I developed and currently maintain cuSZp, an ultra-fast GPU compression framework designed to tackle big data challenges with high-speed requirements. If you’re working with large-scale data and need efficient compression, please feel free to explore the GitHub repository and give it a try!

Selected Publications

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