161 citations · 331 across the 28 of their papers we have counts for
29 papers
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…
Reliability Study of Battery Lives: A Functional Degradation Analysis Approach
Youngjin Cho, Quyen Do, Pang Du +1
Renewable energy is critical for combating climate change, whose first step is the storage of electricity generated from renewable energy sources. Li-ion batteries are a popular ki…
Modern Statistical Models and Methods for Estimating Fatigue-Life and Fatigue-Strength Distributions from Experimental Data
William Q. Meeker, Luis A. Escobar, Francis G. Pascual +4
Engineers and scientists have been collecting and analyzing fatigue data since the 1800s to ensure the reliability of life-critical structures. Applications include (but are not li…
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,…
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…
Copula-Frailty Models for Recurrent Event Data Based on Monte Carlo EM Algorithm
Khaled F. Bedair, Yili Hong, Hussein R. Al-Khalidi
Multi-type recurrent events are often encountered in medical applications when two or more different event types could repeatedly occur over an observation period. For example, pat…
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…
Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles
Yili Hong, Jie Min, Caleb B. King +1
Artificial intelligence (AI) systems have become increasingly common and the trend will continue. Examples of AI systems include autonomous vehicles (AV), computer vision, natural…
Sequential Design of Computer Experiments with Quantitative and Qualitative Factors in Applications to HPC Performance Optimization
Xia Cai, Li Xu, C. Devon Lin +2
Computer experiments with both qualitative and quantitative factors are widely used in many applications. Motivated by the emerging need of optimal configuration in the high-perfor…
Prediction of High-Performance Computing Input/Output Variability and Its Application to Optimization for System Configurations
Li Xu, Thomas Lux, Tyler Chang +6
Performance variability is an important measure for a reliable high performance computing (HPC) system. Performance variability is affected by complicated interactions between nume…
Investigating the Robustness of Artificial Intelligent Algorithms with Mixture Experiments
Jiayi Lian, Laura Freeman, Yili Hong +1
Artificial intelligent (AI) algorithms, such as deep learning and XGboost, are used in numerous applications including computer vision, autonomous driving, and medical diagnostics.…
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…
Bayesian Sequential Design Based on Dual Objectives for Accelerated Life Tests
Lu Lu, I-Chen Lee, Yili Hong
Traditional accelerated life test plans are typically based on optimizing the C-optimality for minimizing the variance of an interested quantile of the lifetime distribution. The t…
Spatial Variable Selection and An Application to Virginia Lyme Disease Emergence
Yimeng Xie, Li Xu, Jie Li +4
Lyme disease is an infectious disease that is caused by a bacterium called Borrelia burgdorferi sensu stricto. In the United States, Lyme disease is one of the most common infectio…
Applications of the Fractional-Random-Weight Bootstrap
Chris Gotwalt, Li Xu, Yili Hong +1
The bootstrap, based on resampling, has, for several decades, been a widely used method for computing confidence intervals for applications where no exact method is available and w…
Disentangling and Assessing Uncertainties in Multiperiod Corporate Default Risk Predictions
Miao Yuan, Cheng Yong Tang, Yili Hong +1
Measuring the corporate default risk is broadly important in economics and finance. Quantitative methods have been developed to predictively assess future corporate default probabi…
Reliability Analysis of Polymeric Materials
Caleb King, Zhibing Xu, I-Chen Lee +1
Polymeric materials are widely used in many applications and are especially useful when combined with other polymers to make polymer composites. The appealing features of these mat…
Big Data and Reliability Applications: The Complexity Dimension
Yili Hong, Man Zhang, William Q. Meeker
Big data features not only large volumes of data but also data with complicated structures. Complexity imposes unique challenges in big data analytics. Meeker and Hong (2014, Quali…
Development of an Accelerated Test Methodology to the Predict Service Life of Polymeric Materials Subject to Outdoor Weathering
Yuanyuan Duan, Yili Hong, William Q. Meeker +2
Service life prediction is of great importance to manufacturers of coatings and other polymeric materials. Photodegradation, driven primarily by ultraviolet (UV) radiation, is the…
An Algorithm for Computing the Distribution Function of the Generalized Poisson-Binomial Distribution
Man Zhang, Yili Hong, Narayanaswamy Balakrishnan
The Poisson-binomial distribution is useful in many applied problems in engineering, actuarial science, and data mining. The Poisson-binomial distribution models the distribution o…