Bellevue, WA, United States of America

Haiyuan Cao

USPTO Granted Patents = 6 

 

Average Co-Inventor Count = 8.3

ph-index = 2

Forward Citations = 7(Granted Patents)


Location History:

  • Bellevue, WA (US) (2020 - 2022)
  • Redmond, WA (US) (2020 - 2023)

Company Filing History:


Years Active: 2020-2024

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6 patents (USPTO):Explore Patents

Title: Innovations and Contributions of Inventor Haiyuan Cao

Introduction

Haiyuan Cao is an accomplished inventor based in Bellevue, WA, with a noteworthy portfolio consisting of six patents. His work focuses on utilizing machine learning to advance natural language processing and resource scheduling, showcasing his expertise in the intersection of technology and innovation.

Latest Patents

One of Cao’s most recent patents is titled "Generating model training data from a domain specification." This invention describes a method for generating training data for machine learning (ML) applications, specifically in natural language processing. It involves creating a formula tree based on sampled formula grammar and natural language templates, leading to the generation of an ML training data instance pair that consists of both a formula example and a natural language example. Ultimately, the manufacturing of an ML model enables the conversion of natural language input into machine-interpretable outputs.

Another significant patent by Cao is "Resource scheduling using machine learning." This innovation tackles the challenge of scheduling tasks by analyzing the features of tasks, which include both time-dependent and time-independent elements. The model employs a gradient boost tree approach to determine the likelihood of successful task completion by resources and schedules accordingly based on this analysis, significantly enhancing efficiency.

Career Highlights

Haiyuan Cao is affiliated with Microsoft Technology Licensing, LLC, where he plays a critical role in advancing research and development in machine learning technologies. His work is instrumental in integrating cutting-edge innovations into practical applications that benefit users and organizations alike.

Collaborations

Cao has collaborated with notable coworkers, including Yu Wang and Hui Su, who are also involved in pioneering research initiatives within Microsoft. Their teamwork exemplifies the synergy needed to drive innovation forward in the tech landscape.

Conclusion

In summary, Haiyuan Cao stands out as a significant figure in the realm of technological innovation. His contributions, particularly in the areas of machine learning and natural language processing, not only highlight his inventive spirit but also demonstrate the impact of collaborative efforts in advancing the field. With a strong patent portfolio, Cao continues to pave the way for future innovations that have the potential to reshape how technology interacts with language and resource management.

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