This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Kakaobank Corp.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Young Jun Kwak and Virtual Tabular Data Generation
Introduction
Young Jun Kwak is an inventor based in Seongnam, South Korea. His patent work includes a method for generating virtual tabular data with a deep-learning module.
Latest Patents
Kwak is associated with one patent, 1 patent: “Virtual Tabular Data Generation Method and Server Performing the Same.” The method uses a sequence of prompts to generate a table schema, calibrates that schema against a predefined reference, and creates table condition data. It then generates candidate tabular data and verifies the result to derive final data.
Career Highlights
Kwak is associated with Kakaobank Corp. His patent describes a structured approach to generating and validating virtual tabular data using deep learning.
Collaborations
Kwak’s listed coworkers include Jung Min Son and Su Bin Kim.
Conclusion
Young Jun Kwak’s patent focuses on using deep learning, schema calibration, and verification to produce virtual tabular data.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile