Chang-Heng Wang

Title: Innovations of Chang-Heng Wang

Introduction

Chang-Heng Wang is a prominent inventor based in Mountain View, CA (US). He has made significant contributions to the field of machine learning and vehicular technology. With a total of 17 patents to his name, Wang's work is at the forefront of innovation in these areas.

Latest Patents

One of his latest patents is titled "Systems and methods for vehicular-network-assisted federated machine learning." This invention discloses a method where a connected vehicle transmits first metadata to other connected vehicles. It also involves receiving second metadata from these vehicles and determining participation in a federated machine learning process. The connected vehicle trains a machine learning model during the current training phase and submits it for aggregation with other models.

Another notable patent is "Systems and methods for determining operating criteria for performing vehicular tasks." This method includes receiving environment information related to a vehicular task from a host vehicle. It compares this information to data captured during a similar task performed by a member vehicle. The goal is to determine a set of operating criteria based on the similarity score and success rate of the previous task.

Career Highlights

Chang-Heng Wang has worked with Toyota Motor Engineering & Manufacturing North America, Inc. His experience in the automotive industry has greatly influenced his innovative contributions.

Collaborations

Wang has collaborated with notable professionals such as Onur Altintas and Takamasa Higuchi. Their combined expertise has further advanced the projects they have worked on together.

Conclusion

Chang-Heng Wang's contributions to machine learning and vehicular technology are noteworthy. His innovative patents and collaborations reflect his commitment to advancing these fields. His work continues to influence the future of automotive technology and machine learning applications.