ClusterLog: Clustering Logs for Effeftxsctive Log-based Anomaly Detection. - Chris Egersdoerfer; Di Zhang; Dong Dai 001 (FTXS@SC, 2022)

Early Exploration of Using ChatGPT for Log-based Anomaly Detection on Parallel File Systems Logs. - Chris Egersdoerfer; Di Zhang; Dong Dai 001 (HPDC, 2023)

Drill: Log-based Anomaly Detection for Large-scale Storage Systems Using Source Code Analysis. - Di Zhang; Chris Egersdoerfer; Tabassum Mahmud; Mai Zheng; Dong Dai 001 (IPDPS, 2023)

ClusterLog: Clustering Logs for Effective Log-based Anomaly Detection. - Chris Egersdoerfer; Dong Dai 001; Di Zhang (CoRR, 2023)

ION: Navigating the HPC I/O Optimization Journey using Large Language Models. - Chris Egersdoerfer; Arnav Sareen; Jean Luca Bez; Suren Byna; Dong Dai 001 (HotStorage, 2024)

Understanding and Predicting Cross-Application I/O Interference in HPC Storage Systems. - Chris Egersdoerfer; Md. Hasanur Rashid; Dong Dai 001; Bo Fang 002; Nathan R. Tallent (SC Workshops, 2024)

IOAgent: Democratizing Trustworthy HPC I/O Performance Diagnosis Capability via LLMs. - Chris Egersdoerfer; Arnav Sareen; Jean Luca Bez; Suren Byna; Dongkuan Xu; Dong Dai 001 (IPDPS, 2025)