Practical online failure prediction for Blue Gene/P: Period-based vs event-driven. - Li Yu 006; Ziming Zheng; Zhiling Lan; Susan Coghlan (DSN Workshops, 2011)

Co-analysis of RAS Log and Job Log on Blue Gene/P. - Ziming Zheng; Li Yu 006; Wei Tang 001; Zhiling Lan; Rinku Gupta; Narayan Desai; Susan Coghlan; Daniel Buettner (IPDPS, 2011)

Filtering log data: Finding the needles in the Haystack. - Li Yu 006; Ziming Zheng; Zhiling Lan; Terry R. Jones; Jim M. Brandt; Ann C. Gentile (DSN, 2012)

3-Dimensional root cause diagnosis via co-analysis. - Ziming Zheng; Li Yu 006; Zhiling Lan; Terry R. Jones (ICAC, 2012)

A scalable, non-parametric anomaly detection framework for Hadoop. - Li Yu 006; Zhiling Lan (CAC, 2013)

Exploring void search for fault detection on extreme scale systems. - Eduardo Berrocal; Li Yu 006; Sean Wallace; Michael E. Papka; Zhiling Lan (CLUSTER, 2014)

Quantitatively Modeling Application Resilience with the Data Vulnerability Factor. - Li Yu 006; Dong Li 001; Sparsh Mittal; Jeffrey S. Vetter (SC, 2014)

Quantitative modeling of power performance tradeoffs on extreme scale systems. - Li Yu 006; Zhou Zhou 006; Sean Wallace; Michael E. Papka; Zhiling Lan (J. Parallel Distributed Comput., 2015)

Reliability-Aware Speedup Models for Parallel Applications with Coordinated Checkpointing/Restart. - Ziming Zheng; Li Yu 006; Zhiling Lan (IEEE Trans. Computers, 2015)

A Scalable, Non-Parametric Method for Detecting Performance Anomaly in Large Scale Computing. - Li Yu 006; Zhiling Lan (IEEE Trans. Parallel Distributed Syst., 2016)

System-wide trade-off modeling of performance, power, and resilience on petascale systems. - Li Yu 006; Zhou Zhou 006; Yuping Fan; Michael E. Papka; Zhiling Lan (J. Supercomput., 2018)