Sunnyvale, CA, United States of America

Jaewon Yang

USPTO Granted Patents = 17 

Average Co-Inventor Count = 4.6

ph-index = 2

Forward Citations = 16(Granted Patents)


Location History:

  • Campbell, CA (US) (2022 - 2023)
  • Sunnyvale, CA (US) (2019 - 2024)

Company Filing History:


Years Active: 2019-2025

where 'Filed Patents' based on already Granted Patents

17 patents (USPTO):

Title: Jaewon Yang: Innovator in Job Posting Technologies

Introduction

Jaewon Yang is a prominent inventor based in Sunnyvale, CA, with a remarkable portfolio of 16 patents. His work primarily focuses on leveraging advanced technologies to enhance job posting processes and improve user experiences in online job markets.

Latest Patents

One of his latest patents is titled "Encoding a job posting as an embedding using a graph neural network." This invention describes techniques for using a graph neural network to encode online job postings as embeddings. The process begins with defining an input graph by processing rules to discover edges connecting nodes that represent job postings or standardized job attributes. The edges are determined by analyzing user activity logs directed at online job postings. A graph neural network (GNN) is then trained based on an edge prediction task, which ultimately derives node embeddings for the job postings, including new postings not represented in the original input graph.

Another significant patent is "Mining training data for training dependency model." This invention outlines techniques for mining training data to train a dependency model. The method involves obtaining training data that includes reference skill pairs based on the co-occurrence of corresponding skills for the same entity. A dependency model is then trained using a machine learning algorithm, which can identify corresponding dependency relations for various target skill pairs.

Career Highlights

Jaewon Yang is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and contribute to the field of technology. His extensive experience and expertise in machine learning and graph neural networks have positioned him as a key player in the development of advanced job posting solutions.

Collaborations

Throughout his career, Jaewon has collaborated with talented individuals such as Qi He and Xiao Yan, further enhancing the innovative projects he has been involved in.

Conclusion

Jaewon Yang's contributions to the field of job posting technologies through his patents and work at Microsoft Technology Licensing, LLC, highlight his significant impact on improving online job markets. His innovative approaches continue to shape the future of how job postings are processed and understood.

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