Yung-Hsin Chien

Title: Yung-Hsin Chien: Innovator in Time-Series Data Forecasting

Introduction

Yung-Hsin Chien is a prominent inventor based in Apex, NC (US). He has made significant contributions to the field of data forecasting, holding a total of 9 patents. His work focuses on developing advanced systems for analyzing and predicting time-series data.

Latest Patents

One of Yung-Hsin Chien's latest patents is titled "Demand classification based pipeline system for time-series data forecasting." This invention discloses a pipeline system that utilizes a distributed computing environment to forecast time-series data. The pipeline includes a segmentation operation that categorizes the time series into multiple demand classes based on their characteristics. Each sub-pipeline applies a model strategy tailored to the corresponding demand class, ensuring accurate forecasting results.

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 timestamped data, facilitating hierarchical analysis and forecasting. The approach involves identifying attributes, clustering data, and ordering attributes to create a recommended hierarchy that performs well under hierarchical models.

Career Highlights

Yung-Hsin Chien is currently employed at SAS Institute Inc., a leading company in analytics and data management. His innovative work has positioned him as a key figure in the development of forecasting technologies.

Collaborations

Yung-Hsin Chien has collaborated with notable coworkers, including Yue Li and Pu Wang. Their combined expertise contributes to the advancement of data forecasting methodologies.

Conclusion

Yung-Hsin Chien's contributions to time-series data forecasting through his innovative patents and work at SAS Institute Inc. highlight his significant impact in the field. His advancements continue to shape the future of data analysis and forecasting technologies.