Hardware Remediation at Scale. - Fan Fred Lin; Matt Beadon; Harish Dattatraya Dixit; Gautham Vunnam; Amol Desai; Sriram Sankar (DSN Workshops, 2018)

Predicting Remediations for Hardware Failures in Large-Scale Datacenters. - Fan Fred Lin; Antonio Davoli; Imran Akbar; Sukumar Kalmanje; Leandro Silva; John Stamford; Yanai Golany; Jim Piazza; Sriram Sankar (DSN (Supplements), 2020)

Optimizing Interrupt Handling Performance for Memory Failures in Large Scale Data Centers. - Harish Dattatraya Dixit; Fan Fred Lin; Bill Holland; Matt Beadon; Zhengyu Yang 003; Sriram Sankar (ICPE, 2020)

Fast Dimensional Analysis for Root Cause Investigation in a Large-Scale Service Environment. - Fan Fred Lin; Keyur Muzumdar; Nikolay Pavlovich Laptev; Mihai-Valentin Curelea; Seunghak Lee; Sriram Sankar (Proc. ACM Meas. Anal. Comput. Syst., 2020)

Near-Realtime Server Reboot Monitoring and Root Cause Analysis in a Large-Scale System. - Fan Fred Lin; Bhargav Bolla; Eric Pinkham; Neil Kodner; Daniel Moore; Amol Desai; Sriram Sankar (DSN (Supplements), 2021)

Assessing and Analyzing the Resilience of Graph Neural Networks Against Hardware Faults. - Xun Jiao; Ruixuan Wang; Fan Fred Lin; Daniel Moore; Sriram Sankar (CoRR, 2022)

Brief Industry Paper: Evaluating Robustness of Deep Learning-Based Recommendation Systems Against Hardware Errors: A Case Study. - Xun Jiao; Fan Fred Lin; Matt Xiao; Alban Desmaison; Daniel Moore; Sriram Sankar (RTSS, 2023)

Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors. - Dongning Ma; Xun Jiao; Fan Fred Lin; Mengshi Zhang; Alban Desmaison; Thomas Sellinger; Daniel Moore; Sriram Sankar (CoRR, 2023)

Dr. DNA: Combating Silent Data Corruptions in Deep Learning using Distribution of Neuron Activations. - Dongning Ma; Fan Fred Lin; Alban Desmaison; Joel Coburn; Daniel Moore; Sriram Sankar; Xun Jiao (ASPLOS (3), 2024)

PVF (Parameter Vulnerability Factor): A Quantitative Metric Measuring AI Vulnerability Against Parameter Corruptions. - Xun Jiao; Fan Fred Lin; Harish Dattatraya Dixit; Joel Coburn; Abhinav Pandey; Han Wang; Venkat Ramesh; Jianyu Huang; Wang Xu; Daniel Moore; Sriram Sankar (CoRR, 2024)

Large-Scale AI Infra Reliability: Challenges, Strategies, and Llama 3 Training Experience. - Xun Jiao; Abhinav Pandey; Karthik Pattabiraman; Fan Fred Lin (DSN-S, 2025)