Pittsburgh, PA, United States of America

Shangqian Gao


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Shangqian Gao

Introduction

Shangqian Gao is a prominent inventor based in Pittsburgh, PA. He has made significant contributions to the field of multimodal models, particularly in the integration of vision and language processing. His innovative approach has led to the development of a unique patent that enhances the efficiency of these models.

Latest Patents

Shangqian Gao holds a patent for an "Apparatus and method for sharing and pruning weights for vision and language models." This invention outlines a method for performing multimodal tasks using a model that includes both a text encoder and a vision encoder. The process involves obtaining text features from queries and image features from input images, ultimately outputting a response based on the similarity between these features. The patent emphasizes the pruning and sharing of weight vectors in the encoders, which are optimized through a hypernetwork that is jointly trained with the multimodal model.

Career Highlights

Shangqian Gao is currently employed at Samsung Electronics Co., Ltd., where he continues to push the boundaries of technology and innovation. His work focuses on enhancing the capabilities of artificial intelligence through advanced model architectures. His contributions have been instrumental in the development of more efficient and effective AI systems.

Collaborations

Shangqian Gao collaborates with talented individuals such as Burak Uzkent and Yilin Shen. Together, they work on various projects that aim to advance the field of artificial intelligence and machine learning.

Conclusion

Shangqian Gao is a remarkable inventor whose work in multimodal models is paving the way for future advancements in artificial intelligence. His innovative patent and collaborations highlight his commitment to enhancing technology and improving the way machines understand and process information.

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