Gyeonggi-do, South Korea

Woo Tae Jeong

This inventor holds 10 USPTO granted patents and 7 published patent applications. Top assignees: 42 Maru Inc., Korea Advanced Institute of Science and Technology. Active years: 2022-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Woo Tae Jeong. Retrieved from https://idiyas.com/inventor/woo-tae-jeong

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

USPTO Granted Patents = 10 

% Patents Active = 100.0

Average Co-Inventor Count = 4.3

ph-index = 2

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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10 patents (USPTO):Explore Patents

Title: Innovations of Woo Tae Jeong

Introduction

Woo Tae Jeong is a prominent inventor based in Gyeonggi-do, South Korea. He has made significant contributions to the field of artificial intelligence and machine learning, holding a total of 10 patents. His work focuses on developing advanced methods for generating question-answer models through innovative techniques.

Latest Patents

One of his latest patents is titled "Method and apparatus for generating Q and A model by using adversarial learning." This invention outlines a method for generating a question-answer learning model through adversarial learning. The process includes sampling a latent variable based on constraints in an input passage, generating an answer based on the latent variable, and subsequently generating a question based on that answer. The model is trained using a dataset of the generated question and answer, with constraints controlled to ensure the latent variable is present in a data manifold while increasing the loss of the question-answer learning model.

Another notable patent is "Architecture for generating QA pairs from contexts." This invention relates to a context-based QA generation architecture aimed at producing diverse QA pairs from a single context. The architecture includes a latent variable generating network, which consists of at least one encoder and an artificial neural network (Multi-Layer Perceptron: MLP). It is designed to train the artificial neural network using a first context, question, and answer, and to generate second question and answer latent variables by applying the trained network to a second context.

Career Highlights

Woo Tae Jeong has worked with notable organizations such as 42 Maru Inc. and the Korea Advanced Institute of Science and Technology. His experience in these institutions has allowed him to refine his skills and contribute to groundbreaking research in his field.

Collaborations

He has collaborated with talented individuals, including Dong Hwan Kim and Han Su Kim, who have contributed to his projects and innovations.

Conclusion

Woo Tae Jeong's work in the field of artificial intelligence and machine learning has led to significant advancements in question-answer generation models. His innovative patents and collaborations highlight his dedication to pushing the boundaries of technology.

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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