PEPPA-X: finding program test inputs to bound silent data corruption vulnerability in HPC applications. - Md Hasanur Rahman 001; Aabid Shamji; Shengjian Guo; Guanpeng Li (SC, 2021)

TensorFI+: A Scalable Fault Injection Framework for Modern Deep Learning Neural Networks. - Sabuj Laskar; Md Hasanur Rahman 001; Guanpeng Li (ISSRE Workshops, 2022)

Characterizing Deep Learning Neural Network Failures Between Algorithmic Inaccuracy and Transient Hardware Faults. - Sabuj Laskar; Md Hasanur Rahman 001; Bohan Zhang; Guanpeng Li (PRDC, 2022)

A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets. - Md Hasanur Rahman 001; Sheng Di; Kai Zhao 008; Robert Underwood; Guanpeng Li; Franck Cappello (ICDE, 2023)

LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance. - Robert Underwood; Sheng Di; Sian Jin; Md Hasanur Rahman 001; Arham Khan; Franck Cappello (SC Workshops, 2023)

Significantly Improving Fixed-Ratio Compression Framework for Resource-limited Applications. - Tri Nguyen; Md Hasanur Rahman 001; Sheng Di; Michela Becchi (ICPP, 2024)

Druto: Upper-Bounding Silent Data Corruption Vulnerability in GPU Applications. - Md Hasanur Rahman 001; Sheng Di; Shengjian Guo; Xiaoyi Lu; Guanpeng Li; Franck Cappello (IPDPS, 2024)

A Survey on Error-Bounded Lossy Compression for Scientific Datasets. - Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Robert Underwood; Zhaorui Zhang; Milan Shah; Yafan Huang; Jiajun Huang 001; Xiaodong Yu 001; Congrong Ren; Hanqi Guo 001; et al. (CoRR, 2024)

Investigating the impact of transient hardware faults on deep learning neural network inference. - Md Hasanur Rahman 001; Sabuj Laskar; Guanpeng Li (Softw. Test. Verification Reliab., 2024)

A Survey on Error-Bounded Lossy Compression for Scientific Datasets. - Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Robert Underwood; Zhaorui Zhang; Milan Shah; Yafan Huang; Jiajun Huang 001; Xiaodong Yu 001; Congrong Ren; Hanqi Guo 001; et al. (ACM Comput. Surv., 2025)