This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Amazon Technologies, Inc.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Innovations of Haiyang Liu in Machine Learning Deployment
Introduction
Haiyang Liu is an accomplished inventor based in Issaquah, WA (US). He has made significant contributions to the field of machine learning, particularly in the deployment of applications on edge devices. His innovative approach has led to the development of a patent that enhances the efficiency of machine learning implementations.
Latest Patents
Haiyang Liu holds a patent titled "Generating and deploying packages for machine learning at edge devices." This patent describes a provider network that implements a machine learning deployment service. The service is designed to generate and deploy packages for running inference applications on connected devices. It optimizes machine learning models based on the hardware platform of the edge device, ensuring efficient performance. This innovation is crucial for enabling advanced machine learning capabilities in various applications.
Career Highlights
Currently, Haiyang Liu is employed at Amazon Technologies, Inc., where he continues to push the boundaries of technology. His work focuses on integrating machine learning with edge computing, which is becoming increasingly important in today's digital landscape. His expertise in this area has positioned him as a valuable asset to his team and the company.
Collaborations
Haiyang Liu collaborates with talented individuals such as Calvin Yue-Ren Kuo and Jiazhen Chen. Together, they work on advancing machine learning technologies and exploring new applications that can benefit from their innovations.
Conclusion
Haiyang Liu's contributions to machine learning deployment are noteworthy and reflect his dedication to innovation. His patent and work at Amazon Technologies, Inc. demonstrate his commitment to enhancing technology for edge devices. His efforts are paving the way for more efficient and effective machine learning applications in the future.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
