4 citations · 7 across the 8 of their papers we have counts for
9 papers
SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data
Jie Min, Yueyao Wang, Mengkun Chen
Competing risks are commonly observed in engineering fields and can bring challenges to time-to-event data modeling when the application scenarios are complicated. Recently, deep n…
Modeling Spatially Correlated Failure-time Data Under Two Distance Functions with an Application to Titan GPU Data
Jared M. Clark, Jie Min, Yueyao Wang +2
One common approach to statistical analysis of spatially correlated data relies on defining a correlation structure based solely on unknown parameters and the physical distance bet…
The Use of Variational Inference for Lifetime Data with Spatial Correlations
Yueyao Wang, Yili Hong, Laura Freeman +1
Lifetime data with spatial correlations are often collected for analysis in modern engineering, clinical, and medical applications. For such spatial lifetime data, statistical mode…
A Detailed Historical and Statistical Analysis of the Influence of Hardware Artifacts on SPEC Integer Benchmark Performance
Yueyao Wang, Samuel Furman, Nicolas Hardy +4
The Standard Performance Evaluation Corporation (SPEC) CPU benchmark has been widely used as a measure of computing performance for decades. The SPEC is an industry-standardized, C…
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,…
The Poisson Multinomial Distribution and Its Applications in Voting Theory, Ecological Inference, and Machine Learning
Zhengzhi Lin, Yueyao Wang, Yili Hong
The Poisson multinomial distribution (PMD) describes the distribution of the sum of independent but non-identically distributed random vectors, in which each random vector is o…
Statistical Perspectives on Reliability of Artificial Intelligence Systems
Yili Hong, Jiayi Lian, Li Xu +4
Artificial intelligence (AI) systems have become increasingly popular in many areas. Nevertheless, AI technologies are still in their developing stages, and many issues need to be…
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…
Statistical Analysis of Modern Reliability Data
Yueyao Wang, I-Chen Lee, Lu Lu +1
Traditional reliability analysis has been using time to event data, degradation data, and recurrent event data, while the associated covariates tend to be simple and constant over…