Yue Li

Title: Innovations of Yue Li in Time-Series Data Forecasting

Introduction

Yue Li is an accomplished inventor based in Irvine, CA, known for his significant contributions to the field of data forecasting. With a total of 5 patents to his name, he has developed innovative solutions that enhance the accuracy and efficiency of time-series data analysis.

Latest Patents

One of Yue Li's latest patents is titled "Demand classification based pipeline system for time-series data forecasting." This invention discloses a pipeline system designed for forecasting time-series data using a distributed computing environment. The pipeline represents a sequence of operations that process the time series to produce modeling results, such as forecasts. It includes a segmentation operation that categorizes the time series into multiple demand classes based on their characteristics. Additionally, multiple sub-pipelines correspond to these demand classes, applying model strategies selected from various candidates based on predetermined relationships.

Another notable patent is "Computer implemented systems for automatic hierarchy for large scale time series data sets." This invention automates the generation of a hierarchical structure for hierarchical analysis of timestamped data. The approach involves identifying attributes, clustering the data, and ordering the attributes to create a recommended hierarchical order. This hierarchy is designed to perform well under hierarchical models, providing a robust framework for analyzing timestamped data.

Career Highlights

Yue Li is currently employed at SAS Institute Inc., where he continues to innovate and contribute to advancements in data forecasting technologies. His work has positioned him as a key figure in the field, driving forward the capabilities of time-series analysis.

Collaborations

Yue collaborates with talented individuals such as Yung-Hsin Chien and Pu Wang, who contribute to the development of innovative solutions in their respective areas of expertise.

Conclusion

Yue Li's work in time-series data forecasting exemplifies the impact of innovative thinking in technology. His patents reflect a commitment to enhancing data analysis methodologies, making significant strides in the field.