Coquitlam, Canada

Jun Gao

This inventor holds 27 USPTO granted patents and 17 published patent applications, plus 6 CIPO patents and 3 EPO patents, primarily in Neural Networks. Top assignees: Nvidia Corporation, Engene, Inc., Jazz Pharmaceuticals Therapeutics, Inc.. Active years: 2014-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jun Gao. Retrieved from https://idiyas.com/inventor/jun-gao-gunmslhv

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

USPTO Granted Patents = 27 

% Patents Active = 96.3

 

 

Average Co-Inventor Count = 4.6

ph-index = 2

Forward Citations = 17(Granted Patents)


Location History:

  • Coquitlam, CA (2014 - 2024)
  • Toronto, CA (2020 - 2024)
  • North York, CA (2024)

Company Filing History:


Years Active: 2014-2026

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Areas of Expertise:
Liposomal Formulations
Neural Networks
Image Generation
3D Model Generation
Differentiable Rendering
Chitosan Nanoparticles
Synthetic Data
Scene Rendering
Geometric Styles
Object Annotation
High Resolution Shapes
Gene Transfer
27 patents (USPTO):Explore Patents

Title: Innovations and Contributions of Jun Gao in 3D Rendering Technologies

Introduction

Jun Gao, based in Coquitlam, CA, is an accomplished inventor with a remarkable portfolio of 18 patents. His innovative approach to 3D rendering technologies has paved the way for advancements in light transport simulation systems and other applications that leverage machine learning models to enhance image generation and editing.

Latest Patents

Two of Jun Gao's notable patents include "Hybrid Differentiable Rendering for Light Transport Simulation Systems and Applications" and "Transferring Geometric and Texture Styles in 3D Asset Rendering Using Neural Networks." The first patent focuses on the use of machine learning models to disentangle various components of 3D models, enabling efficient projection of geometry onto image planes. This technique can significantly improve the accuracy of light transport simulations and has applications in image editing, 3D model editing, and synthetic data generation. The second patent addresses the challenges of 3D object model generation for users lacking the necessary skills. By employing style transfer networks, this innovation allows for the transformation of geometric features and textures, making 3D content creation more accessible and less resource-intensive.

Career Highlights

Throughout his career, Jun Gao has contributed to various companies, including Engene, Inc., where he has refined his expertise in rendering technologies. His dedication to pushing the boundaries of 3D modeling has had a considerable impact on the industry.

Collaborations

Jun has had the pleasure of collaborating with talented professionals in his field, including Eric Hsu and Anthony Cheung. These partnerships have fostered a creative environment that encourages innovation and the sharing of ideas, further enhancing Jun's contributions to technology.

Conclusion

Jun Gao's innovations in 3D rendering highlight his commitment to advancing technology and improving user experiences in content creation. With 18 patents to his name, his work not only transforms how 3D models are rendered but also expands the possibilities for applications in various industries.

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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