161 citations · 172 across the 14 of their papers we have counts for
15 papers · 1 filter
Statistical and Deep Learning Approaches for Predicting Degradation of Polymeric Materials in Photovoltaics
Yili Hong, Xiaohong Gu
Polymeric materials are widely used in photovoltaic (PV) systems, making it essential to understand their service life to ensure reliable PV performance. The primary failure mechan…
A Spatially Correlated Competing Risks Time-to-Event Model for Supercomputer GPU Failure Data
Jie Min, Yili Hong, William Q. Meeker +1
Graphics processing units (GPUs) are widely used in many high-performance computing (HPC) applications such as imaging/video processing and training deep-learning models in artific…
Prediction for Distributional Outcomes in High-Performance Computing I/O Variability
Li Xu, Yili Hong, Max D. Morris +1
Although high-performance computing (HPC) systems have been scaled to meet the exponentially-growing demand for scientific computing, HPC performance variability remains a major ch…
Design Strategies and Approximation Methods for High-Performance Computing Variability Management
Yueyao Wang, Li Xu, Yili Hong +6
Performance variability management is an active research area in high-performance computing (HPC). We focus on input/output (I/O) variability. To study the performance variability,…
Building Degradation Index with Variable Selection for Multivariate Sensory Data
Yueyao Wang, I-Chen Lee, Yili Hong +1
The modeling and analysis of degradation data have been an active research area in reliability and system health management. As the senor technology advances, multivariate sensory…
Modeling Bivariate Geyser Eruption System with Covariate-Adjusted Recurrent Event Process
Zhongnan Jin, Lu Lu, Khaled Bedair +1
Geyser eruption is one of the most popular signature attractions at the Yellowstone National Park. The interdependence of geyser eruptions and impacts of covariates are of interest…