| 2025 | IPCCC | Modeling Rate-Distortion for Endpoint-Aware Lossy Compression in Scientific Data Transfer. | Md Hasanur Rahman, Sheng Di, Guanpeng Li, Franck Cappello |
| 2025 | SC | Deploying Lightweight Input-Aware Selective Instruction Duplication in HPC Applications. | Md Hasanur Rahman, Guanpeng Li |
| 2024 | ICPP | Significantly Improving Fixed-Ratio Compression Framework for Resource-limited Applications. | Tri Nguyen, Md Hasanur Rahman, Sheng Di, Michela Becchi |
| 2023 | ICDE | 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 |
| 2023 | SC | LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance. | Robert Underwood, Sheng Di, Sian Jin, Md Hasanur Rahman, Arham Khan, Franck Cappello |
| 2022 | ISSRE | TensorFI+: A Scalable Fault Injection Framework for Modern Deep Learning Neural Networks. | Sabuj Laskar, Md Hasanur Rahman, Guanpeng Li |
| 2022 | PRDC | Characterizing Deep Learning Neural Network Failures Between Algorithmic Inaccuracy and Transient Hardware Faults. | Sabuj Laskar, Md Hasanur Rahman, Bohan Zhang, Guanpeng Li |
| 2021 | SC | PEPPA-X: finding program test inputs to bound silent data corruption vulnerability in HPC applications. | Md Hasanur Rahman, Aabid Shamji, Shengjian Guo, Guanpeng Li |