Huili Chen

Title: Huili Chen: Innovator in Machine Learning Technologies

Introduction

Huili Chen is a prominent inventor based in San Diego, California, known for his contributions to machine learning technologies. With a total of two patents to his name, Chen has made significant strides in the field, particularly in the areas of updating machine learning models and digital watermarking.

Latest Patents

Chen's latest patents include a system for updating machine learning models across devices. This innovative system creates a localized machine learning model that incorporates customized local parameter values derived from a global model and variance data. The localized model is designed to perform evaluations of data and can be trained based on adjustments made to the global model. Additionally, he has developed a method for digital watermarking of machine learning models. This method involves embedding a digital watermark in the hidden or output layers of a machine learning model, which can help identify duplicates by comparing the embedded watermarks.

Career Highlights

Throughout his career, Huili Chen has worked with notable organizations such as Amazon Technologies, Inc. and the University of California. His experience in these institutions has allowed him to collaborate with leading experts in the field and contribute to groundbreaking research.

Collaborations

Some of Chen's notable coworkers include Tao Zhang and Jie Ding, who have also made significant contributions to the field of machine learning.

Conclusion

Huili Chen's innovative work in machine learning continues to influence the industry, showcasing his expertise and commitment to advancing technology. His patents reflect a deep understanding of complex systems and a drive to improve machine learning applications across various devices.