This inventor holds 3 USPTO granted patents and 2 published patent applications and 3 EPO patents. Top assignee: Robert Bosch. Active years: 2022-2025.
Company Filing History:
Years Active: 2022-2025
Title: Innovations by Inventor Xiahan Shi
Introduction
Xiahan Shi is a notable inventor based in Renningen, Germany. He has made significant contributions to the field of machine learning and control systems. With a total of 3 patents to his name, his work focuses on enhancing the efficiency and effectiveness of physical systems through innovative methodologies.
Latest Patents
One of Xiahan Shi's latest patents is titled "Determining an output signal by aggregating parent instances." This patent describes a computer-implemented method for training a function that controls or monitors a physical system operating in a specific environment. The function maps input instances, which consist of sensor measurements, to an output signal. It is parameterized by a set of parameters that include representations of multiple reference instances. The method identifies similar reference instances to a given training input instance and aggregates their representations and output signals into an aggregate latent representation. This representation is then used to determine an output signal, which is compared to a training output signal to derive a training signal. Adjustments are made to the representation of a reference instance based on this training signal, resulting in a reference instance not included in the training dataset.
Another significant patent is a "Machine learning system to generate output using first and second latent spaces." This invention involves a machine learning system that maps an input data instance to an output according to a system mapping composed of multiple functions. The system determines a latent input vector in a second latent space for the input data instance, utilizing latent reference vectors related to several identified parent reference data instances.
Career Highlights
Xiahan Shi is currently employed at Robert Bosch, a leading global supplier of technology and services. His work at Bosch involves developing advanced machine learning systems that enhance the functionality of various physical systems. His innovative approaches have contributed to the company's reputation for excellence in engineering and technology.
Collaborations
Xiahan has collaborated with notable colleagues, including Martin Schiegg and Christos Louizos. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.
Conclusion
Xiahan Shi's contributions to the field of machine learning and control systems are noteworthy. His innovative patents reflect a commitment to advancing technology and improving the efficiency of physical systems. His work at Robert Bosch and collaborations with esteemed colleagues further highlight his impact in the industry.
