Bothell, WA, United States of America

Yang Zhao

This inventor holds 1 USPTO granted patent and 5 published patent applications. Top assignee: Google Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yang Zhao. Retrieved from https://idiyas.com/inventor/yang-zhao-lmk0av3b

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Yang Zhao in Restoration Model Training

Introduction

Yang Zhao is an accomplished inventor based in Bothell, WA (US). He has made significant contributions to the field of technology, particularly in the area of model training for restoration tasks. His innovative approach focuses on generating realistic outputs while preserving the identity of original subjects.

Latest Patents

Yang Zhao holds a patent titled "Training a restoration model for balanced generation and reconstruction." This patent describes systems and methods for training a restoration model that leverages training for two sub-tasks. The goal is to balance the generation task and the reconstruction task, ensuring that the outputs generated are both realistic and identity-preserved. The methods also incorporate a feature quantization model and skip connections to enhance model output and overall training efficiency. He has 1 patent to his name.

Career Highlights

Yang Zhao is currently employed at Google Inc., where he continues to push the boundaries of technology through his innovative work. His expertise in model training has positioned him as a valuable asset in the tech industry.

Collaborations

Yang has collaborated with notable colleagues, including Yu-Chuan Su and Chun-Te Chu. Their combined efforts contribute to the advancement of technology in their respective fields.

Conclusion

Yang Zhao's work in training restoration models exemplifies the intersection of innovation and technology. His contributions are paving the way for future advancements in realistic output generation.

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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