Beijing, China

Xinsong Zhang

USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Xinsong Zhang: Innovator in Language Representation and Visual Language Models

Introduction

Xinsong Zhang is a prominent inventor based in Beijing, China. He has made significant contributions to the fields of natural language processing and visual language models. With a total of two patents to his name, Zhang's work is at the forefront of innovation in language representation systems.

Latest Patents

Zhang's latest patents include a language representation model system, pre-training method and apparatus, device, and medium. This invention discloses a language representation model system that comprises a word granularity language representation sub-model and a phrase granularity language representation sub-model. The word granularity model outputs a semantic vector for each word in a segmented sentence, while the phrase granularity model does the same for phrases. Additionally, he has developed a method and apparatus for training a visual language pre-training model, which involves acquiring pairing groups corresponding to images and their descriptions to enhance model training.

Career Highlights

Throughout his career, Xinsong Zhang has worked with notable companies such as Beijing Youzhuju Network Technology Co., Ltd. and Beijing Bytedance Network Technology Co., Ltd. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking projects in technology and innovation.

Collaborations

Zhang has collaborated with esteemed colleagues, including Hang Li and Yan Zeng. These partnerships have fostered an environment of creativity and innovation, leading to advancements in their respective fields.

Conclusion

Xinsong Zhang is a distinguished inventor whose work in language representation and visual language models is shaping the future of natural language processing. His contributions are invaluable to the ongoing evolution of technology in this domain.

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