San Jose, CA, United States of America

Yang Zhou

This inventor holds 36 USPTO granted patents and 14 published patent applications and 1 EPO patent, primarily in 3D Model Generation. Top assignees: Adobe, Inc., Apple Inc., Qualcomm Incorporated. Active years: 2018-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yang Zhou. Retrieved from https://idiyas.com/inventor/yang-zhou-jk3hm7yn

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

USPTO Granted Patents = 36 

% Patents Active = 94.4

 

Average Co-Inventor Count = 5.3

ph-index = 4

Forward Citations = 63(Granted Patents)


Location History:

  • San Diego, CA (US) (2019 - 2020)
  • Cupertino, CA (US) (2021)
  • San Jose, CA (US) (2018 - 2023)
  • Amherst, MA (US) (2022 - 2023)
  • Sunnyvale, CA (US) (2020 - 2024)

Company Filing History:


Years Active: 2018-2026

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Areas of Expertise:
3D Models
Video Analytics
User Engagement
Gesture Reenactment
Machine Learning
Object Detection
Magnetic Alignment
Edge Computing
Audio-Driven Animation
Session Analysis
Render Pipelines
False Positive Removal
36 patents (USPTO):Explore Patents

Title: Innovations and Contributions of Yang Zhou in Technology

Introduction

Yang Zhou, a prominent inventor based in San Jose, CA, is recognized for his significant contributions to technology, holding a remarkable total of 31 patents. His work primarily focuses on enhancing user engagement through advanced methods and systems that leverage machine learning and neural networks.

Latest Patents

One of Yang Zhou's latest patents is titled "System and Method for Improving User Engagement Based on User Session Analysis." This innovative system utilizes a server to analyze multiple user sessions on a web server, creating a learning model capable of predicting user activity based on their current page flow. The model enables dynamic content adjustments to enhance user experience.

Another notable patent is "Utilizing Generative Models for Resynthesis of Transition Frames in Clipped Digital Videos." This development employs machine learning to generate transitional frames for gaps in edited digital videos, enhancing the visual continuity of video content. The system uses a generative neural network to create a sequence of transition frames from keypoint maps derived from the surrounding frames.

Career Highlights

Yang Zhou has had a distinguished career, working at leading technology companies like Apple Inc. and Qualcomm Incorporated. His extensive experience in these organizations has enabled him to develop innovative solutions that address complex technological challenges.

Collaborations

Throughout his career, Yang Zhou has collaborated with talented individuals such as Ying Hai Chen and Ning Bi. These partnerships have fostered a collaborative environment that promotes creativity and innovation in their respective projects.

Conclusion

Yang Zhou's contributions to technology through his inventive spirit and innovative solutions have significantly impacted user engagement and digital content creation. His patents illustrate his commitment to advancing the field and his ability to harness cutting-edge technologies to address evolving needs in the digital landscape.

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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