Ming Huang

Title: Innovations and Contributions of Inventor Ming Huang

Introduction

Ming Huang is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of technology, particularly in machine learning and resource sharing methods. With a total of seven patents to his name, his work reflects a commitment to advancing technological solutions.

Latest Patents

Ming Huang's latest patents include a "Distributed Machine Learning Method and System." This invention describes a method and system for distributed machine learning and model training. It introduces a finite asynchronous parallel training scheme that leverages the advantages of both asynchronous and synchronous parallel training. The method addresses computation delays in various distributed computation nodes, enhancing the speed and efficiency of model training. Another notable patent is a "Resource Sharing Method and Terminal." This method involves obtaining a configured user identifier and multimedia data, processing a resource sharing request, and generating a resource sharing instruction based on the association between the user identifier and the multimedia data.

Career Highlights

Throughout his career, Ming Huang has worked with notable companies, including Tencent Technology (Shenzhen) Company Limited and Shenzhen Silver Star Intelligent Technology Co., Ltd. His experience in these organizations has contributed to his expertise in developing innovative technologies.

Collaborations

Ming Huang has collaborated with talented individuals such as Wenhui Lai and Danni Lin. These partnerships have likely fostered a creative environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Ming Huang's contributions to technology through his patents and collaborations highlight his role as an influential inventor. His work continues to impact the fields of machine learning and resource sharing, showcasing the importance of innovation in today's technological landscape.