This inventor holds 1 USPTO granted patent. Top assignee: Samsung Electronics Ltd.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Miao Yin - Innovator in Vision Transformer Technology
Introduction
Miao Yin is a prominent inventor based in Plainsboro, NJ (US). He has made significant contributions to the field of artificial intelligence, particularly in the development of vision transformers. His innovative approach has led to advancements that enhance the efficiency and effectiveness of machine learning models.
Latest Patents
Miao Yin holds a patent for "Structured pruning of vision transformer." This patent outlines a method that involves accessing a batch B of a plurality of images, which are part of a training set used to train a vision transformer comprising multiple attention heads. The method includes determining a similarity for each attention head A, based on the outputs evaluated using each image in the batch. Furthermore, it establishes an importance score for each attention head and prunes one or more attention heads from the vision transformer based on these scores. This innovative method aims to optimize the performance of vision transformers in processing images.
Career Highlights
Miao Yin is currently employed at Samsung Electronics Ltd., where he continues to push the boundaries of technology. His work focuses on enhancing machine learning algorithms and improving their application in various fields. With a patent portfolio that includes 1 patent, he has established himself as a key player in the tech industry.
Collaborations
Miao has collaborated with talented individuals such as Burak Uzkent and Yilin Shen. These partnerships have fostered a creative environment that encourages innovation and the sharing of ideas.
Conclusion
Miao Yin's contributions to the field of vision transformers exemplify the impact of innovative thinking in technology. His work not only advances machine learning but also sets the stage for future developments in artificial intelligence.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile