Kanata, Canada

Keyi Liu

This inventor holds 1 USPTO granted patent. Top assignee: Huawei Technologies Co., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Keyi Liu. Retrieved from https://idiyas.com/inventor/keyi-liu-dg69fhyr

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Keyi Liu: Inventor in Neural Processing and Graphics Rendering

Introduction

Keyi Liu is an inventor based in Kanata, Canada, whose work includes a patent on using a neural processing unit to render graphics. His disclosed invention combines information from images, scene data, and a graphics processing unit to generate new images of a 3D scene.

Latest Patents

Liu is associated with 1 patent: “Method and Apparatus for Graphics Rendering Using a Neural Processing Unit.” The method receives multiple images and information describing a 3D scene, along with intermediate rendering information from a graphics processing unit. A neural processing unit uses these inputs to build a model of the scene and infer a new image. This approach brings neural processing into the graphics-rendering process.

Career Highlights

Liu is associated with Huawei Technologies Co., Ltd. His patent reflects work at the intersection of neural processing and computer graphics, particularly in using scene information and rendering data to produce images.

Collaborations

Guoan Sang is identified as Liu’s coworker. The available information does not specify their particular roles or contributions to the patent.

Conclusion

Keyi Liu’s patent describes a neural-processing approach to rendering 3D scenes, combining image and scene inputs with intermediate graphics-processing information to infer new images.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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