Publications

Temporal Modeling of Soft Error Propagation Using Dynamic Bayesian Networks
Ahmer Jamil, Md Hasanur Rahman, Bingzhe Li, Xiaoyi Lu, and Guanpeng Li
(SC’26) International Conference for High Performance Computing, Networking, Storage and Analysis, 2026 (Acceptance rate: 19.0%)

Modeling Rate-Distortion for Endpoint-Aware Lossy Compression in Scientific Data Transfer
Md Hasanur Rahman, Sheng Di, Guanpeng Li, and Franck Cappello
(IPCCC’25) International Performance Computing and Communications Conference, 2025 (Acceptance rate: 32.1%)

Deploying Lightweight Input-Aware Selective Instruction Duplication in HPC Applications
Md Hasanur Rahman, and Guanpeng Li
(SC’25) International Conference for High Performance Computing, Networking, Storage and Analysis, 2025 (Acceptance rate: 21.2%)

A Generic and Efficient Framework for Estimating Lossy Compressibility of Scientific Data
Md Hasanur Rahman, Sheng Di, Guanpeng Li, and Franck Cappello
(MSST’24) The 38th International Conference on Massive Storage Systems and Technology, 2024

Investigating The Impact of Transient Hardware Faults on Deep Learning Neural Network Inference
Md Hasanur Rahman, Sabuj Laskar, and Guanpeng Li
(STVR’24) Software Testing, Verification and Reliability, 2024

DRUTO: Upper-Bounding Silent Data Corruption Vulnerability in GPU Applications
Md Hasanur Rahman, Sheng Di, Shengjian Guo, Xiaoyi Lu, Guanpeng Li, and Franck Cappello
(IPDPS’24) The 38th IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2024

A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets
Md Hasanur Rahman, Sheng Di, Kai Zhao, Robert Underwood, Guanpeng Li, and Franck Cappello
(ICDE’23) The 39th IEEE International Conference on Data Engineering, 2023 (Acceptance rate: 19.1% past years)

Characterizing Deep Learning Neural Network Failures between Algorithmic Inaccuracy and Transient Hardware Faults
Sabuj Laskar, Md Hasanur Rahman, Bohan Zhang, and Guanpeng Li
(PRDC’22) The 27th IEEE Pacific Rim International Symposium on Dependable Computing, 2022

TensorFI+: A Scalable Fault Injection Framework for Modern Deep Learning Neural Networks
Sabuj Laskar, Md Hasanur Rahman, and Guanpeng Li
(ISSRE-W’22) Workshop on Resiliency, Security, Defenses, and Attacks (RSDA) at IEEE International Symposium on Software Reliability Engineering, 2022

PEPPA-X: finding program test inputs to bound silent data corruption vulnerability in HPC applications
Md Hasanur Rahman, Aabid Shamji, Shengjian Guo, and Guanpeng Li
(SC’21) International Conference for High Performance Computing, Networking, Storage and Analysis, 2021 (Acceptance rate: 23.6%)