4 citations · 6 across the 9 of their papers we have counts for
10 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…
What Quality Engineers Need to Know about Degradation Models
Jared M. Clark, Jie Min, Mingyang Li +5
Degradation models play a critical role in quality engineering by enabling the assessment and prediction of system reliability based on data. The objective of this paper is to prov…
Performance Evaluation of Large Language Models in Statistical Programming
Xinyi Song, Kexin Xie, Lina Lee +10
The programming capabilities of large language models (LLMs) have revolutionized automatic code generation and opened new avenues for automatic statistical analysis. However, the v…
Bridging the Data Gap in AI Reliability Research and Establishing DR-AIR, a Comprehensive Data Repository for AI Reliability
Simin Zheng, Jared M. Clark, Fatemeh Salboukh +10
Artificial intelligence (AI) technology and systems have been advancing rapidly. However, ensuring the reliability of these systems is crucial for fostering public confidence in th…
Applied Statistics in the Era of Artificial Intelligence: A Review and Vision
Jie Min, Xinyi Song, Simin Zheng +3
The advent of artificial intelligence (AI) technologies has significantly changed many domains, including applied statistics. This review and vision paper explores the evolving rol…
Multivariate Functional Clustering with Variable Selection and Application to Sensor Data from Engineering Systems
Zhongnan Jin, Jie Min, Yili Hong +2
Multi-sensor data that track system operating behaviors are widely available nowadays from various engineering systems. Measurements from each sensor over time form a curve and can…
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…
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…
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…