Sunnyvale, CA, United States of America

Zeng Dai

USPTO Granted Patents = 9 

 

Average Co-Inventor Count = 3.3

ph-index = 2

Forward Citations = 13(Granted Patents)


Location History:

  • Mountain View, CA (US) (2019)
  • Sunnyvale, CA (US) (2020 - 2022)
  • Santa Clara, CA (US) (2021 - 2022)

Company Filing History:


Years Active: 2019-2025

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9 patents (USPTO):Explore Patents

Title: Zeng Dai: Innovator in Visual Graph Query Systems

Introduction

Zeng Dai is a prominent inventor based in Sunnyvale, CA, known for his contributions to the field of interactive visual graph query systems. With a total of 9 patents to his name, he has made significant strides in enhancing program workflow analysis through innovative technologies.

Latest Patents

Zeng Dai's latest patents include groundbreaking systems and methods for interactive visual graph query for program workflow analysis. These systems are designed to identify target graphs that correspond with input query graphs, utilizing a visual analytics system that supports human-in-the-loop, example-based subgraph pattern search. The technology employs graph neural networks to encode topological and node attributes, enabling efficient subgraph matching in latent space. Another notable patent focuses on interactive image scene graph pattern search and analysis. This method allows users to select segmented regions within an image to build a query graph, retrieving matching target graphs from a database. The system enhances user experience by displaying associated matching target images.

Career Highlights

Zeng Dai is currently employed at Robert Bosch GmbH, where he continues to develop innovative solutions in the realm of visual graph queries. His work has significantly impacted the efficiency and effectiveness of data analysis processes.

Collaborations

Zeng collaborates with talented coworkers, including Liu Ren and Lincan Zou, contributing to a dynamic and innovative work environment.

Conclusion

Zeng Dai's contributions to the field of interactive visual graph query systems exemplify his commitment to innovation and excellence. His patents reflect a deep understanding of complex data interactions and a drive to enhance user engagement through technology.

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