Company Filing History:
Years Active: 2015-2018
Title: Xueyan Jiang: Innovator in Data Processing and Machine Learning
Introduction
Xueyan Jiang is a prominent inventor based in Munich, Germany. She has made significant contributions to the fields of data processing and machine learning, holding 2 patents that showcase her innovative approach to technology.
Latest Patents
One of her latest patents is focused on calculating a relation indicator for a relation between entities. This method combines the strong relational learning ability and the good scalability of the RESCAL model with the linear regression model. It is designed to determine relations between objects, such as entries in a database, medical treatments, or production processes, in a fast and precise manner. Another notable patent involves deriving predictions from data using information extraction and machine learning. This system optimizes both approaches independently and can produce significantly improved results across various technical fields, including medical and genetic research.
Career Highlights
Xueyan Jiang is currently employed at Siemens Aktiengesellschaft, where she continues to develop innovative solutions in her field. Her work has been instrumental in advancing the capabilities of data processing technologies.
Collaborations
Some of her notable coworkers include Maximilian Nickel and Volker Tresp, with whom she collaborates on various projects.
Conclusion
Xueyan Jiang's contributions to data processing and machine learning highlight her role as a leading innovator in her field. Her patents reflect her commitment to advancing technology and improving systems across multiple applications.