Trabuco Canyon, CA, United States of America

Shuo Chen

This inventor holds 2 USPTO granted patents. Top assignee: Blizzard Entertainment, Inc.. Active years: 2022-2026.


% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2022-2026

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2 patents (USPTO):Explore Patents

Title: Innovations of Shuo Chen in Machine Learning

Introduction

Shuo Chen is an accomplished inventor based in Trabuco Canyon, CA (US). He has made significant contributions to the field of machine learning, particularly in the area of image generation. With a total of 2 patents, his work showcases the intersection of technology and creativity.

Latest Patents

One of Shuo Chen's latest patents focuses on machine learning-based 2D structured image generation. This innovative process involves a multiple-phase approach that utilizes machine learning (ML) models to create a texturized version of an input image. In the first phase, a pix2pix-based ML model generates an automatically-created image that depicts structured texture based on the input image. The second phase employs a neural style transfer-based ML model to apply the style of a reference image to the texture image produced in the first phase. Finally, during the third phase, the generated texture image and the modified texture image are combined to create a structured texture image with a balanced amount of detail.

Career Highlights

Shuo Chen is currently employed at Blizzard Entertainment, Inc., where he continues to push the boundaries of technology and innovation. His work at this renowned company allows him to collaborate with other talented individuals in the field.

Collaborations

Shuo has worked alongside Denis Rogic, contributing to the advancement of machine learning technologies and their applications in various domains.

Conclusion

Shuo Chen's innovative work in machine learning and image generation exemplifies the potential of technology to transform creative processes. His contributions are paving the way for future advancements in the field.

Profile summary based on public USPTO records.
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