Location History:
- Raleigh, NC (US) (2017 - 2019)
- Cary, NC (US) (2022)
Company Filing History:
Years Active: 2017-2022
Title: Hansi Jiang: Innovator in Machine Learning and Data Classification
Introduction
Hansi Jiang is a notable inventor based in Raleigh, NC, who has made significant contributions to the fields of machine learning and data classification. With a total of 4 patents to his name, Jiang's work focuses on enhancing computational techniques that support various applications in technology.
Latest Patents
One of Jiang's latest patents is titled "Incremental Singular Value Decomposition in Support of Machine Learning." This invention involves computing a singular value decomposition (SVD) of a first matrix to define a left matrix, a diagonal matrix, and a right matrix. The matrices are updated using an arrowhead matrix structure, which is defined from the diagonal matrix and incorporates a new observation vector. The updated matrices are then processed to output the final results.
Another significant patent is "Bandwidth Selection in Support Vector Data Description for Classification or Outlier Detection." In this patent, a computing device determines a bandwidth parameter value for outlier detection or data classification. The process includes computing a mean pairwise distance value between observation vectors and determining a Gaussian bandwidth parameter value. This invention aims to enhance the accuracy of classification models by optimizing the parameters used in support vector data description.
Career Highlights
Hansi Jiang is currently employed at SAS Institute Inc., a leading analytics software company. His work at SAS focuses on developing innovative solutions that leverage machine learning techniques to improve data analysis and decision-making processes.
Collaborations
Jiang collaborates with talented individuals such as Arin Chaudhuri and Deovrat Vijay Kakde, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Hansi Jiang's contributions to machine learning and data classification through his patents reflect his commitment to advancing technology. His work at SAS Institute Inc. and collaborations with fellow innovators further enhance his impact in the field.