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I am an Associate Professor in the Department of Electrical and Computer Engineering at the University of Florida. I received my Ph.D. and B.A.Sc. degrees from the University of British Columbia, Canada, in 2019 and 2014, respectively, and was a Postdoctoral Scholar at the University of Illinois Urbana–Champaign in 2020. My research focuses on data reduction and fault tolerance for high-performance computing (HPC) and artificial intelligence (AI) systems. My students and I have received Best Paper Awards or Best Paper Finalist recognitions at LDAV, ICS, SC, DSN, and ISSRE venues in 2025, 2024, 2023, 2022, 2021, 2020, and 2018. I am a recipient of the NSF CAREER Award (2025), the Google Academic Research Award (2024), and the IEEE Computer Society TCHPC Early Career Researchers Award for Excellence in High-Performance Computing (2024). Multiple Ph.D. student positions are available in my research group. Undergraduate internship opportunities are open to UF students only. Email: liguanpeng [at] ufl [dot] edu |
Research Interests
HPC Fault Tolerance
Lossy Compression
AI Dependebility
Safety of Autonomous Driving Systems
Selected Publications (Full List)
Deploying Lightweight Selective Instruction Duplication for HPC Applications.
Md Hasanur Rahman, and Guanpeng Li
[SC'25] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2025
GPU Lossy Compression for HPC Can Be Versatile and Ultra-fast
Yafan Huang, Sheng Di, Guanpeng Li, and Franck Cappello
[SC'25] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2025
cuSZp2: A GPU Lossy Compressor with Extreme Throughput and Optimized Compression Ratio
(Best Student Paper Award Finalist)
Yafan Huang, Sheng Di, Guanpeng Li, Franck Cappello
[SC'24] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2024
Versatile Datapath Soft Error Detection on the Cheap for HPC Applications
Yafan Huang, Sheng Di, Zhaorui Zhang, Xiaoyi Lu, Guanpeng Li
[SC'24] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2024
Demystifying and Mitigating Cross-Layer Deficiencies of Soft Error Protection in Instruction Duplication
Zhengyang He, Yafan Huang, Hui Xu, Dingwen Tao, Guanpeng Li
[SC'23] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2023
cuSZp: An Ultra-Fast GPU Error-Bounded Lossy Compression Framework with Optimized End-to-End Performance
Yafan Huang, Sheng Di, Xiaodong Yu, Guanpeng Li, Franck Cappello
[SC'23] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2023
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
[ICDE'23] IEEE International Conference on Data Engineering, 2023
Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs
(Best Paper Award Finalist)
Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello
[SC'22] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2022
(Best Student Paper Award Finalist)
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'21] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2021
A Low-Cost Fault Corrector for Deep Neural Networks through Range Restriction
(Best Paper Award Finalist)
Zitao Chen, Guanpeng Li, Karthik Pattabiraman
[DSN'21] IEEE/IFIP International Conference on Dependable Systems and Networks, 2021
GPU-Trident: Efficient Modeling of Error Propagation in GPU Programs
Abdul Rehman Anwer, Guanpeng Li, Karthik Pattabiraman, Michael Sullivan, Timothy Tsai, Siva Kumar Sastry Hari
[SC'20] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2020
AV-Fuzzer: Finding Safety Violations in Autonomous Driving Systems
(Best Paper Award)
Guanpeng Li, Yiran Li, Saurabh Jha, Timothy Tsai, Michael Sullivan, Siva Kumar Sastry Hari, Zbigniew Kalbarczyk, Ravishankar Iyer
[ISSRE'20] IEEE International Symposium on Software Reliability Engineering, 2020
BinFI: an Efficient Fault Injector for Safety-Critical Machine Learning Systems
Zitao Chen, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben
[SC'19] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2019
Modeling Soft-Error Propagation in Programs
(Best Paper Award Finalist)
Guanpeng Li, Karthik Pattabiraman, Siva Kumar Sastry Hari, Michael Sullivan, Timothy Tsai
[DSN'18] IEEE/IFIP International Conference on Dependable Systems and Networks, 2019
Understanding Error Propagation in Deep Learning Neural Network (DNN) Accelerators and Applications
Guanpeng Li, Siva Hari, Michael Sullivan, Timothy Tsai, Karthik Pattabiraman, Joel Emer, Stephen W Keckler
[SC'17] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2017
