Daegu, South Korea

Jihwan Choi

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Samsung Electronics Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jihwan Choi. Retrieved from https://idiyas.com/inventor/jihwan-choi-gj5sdmpn

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

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USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Jihwan Choi: Innovator in Data-Free Network Quantization

Introduction

Jihwan Choi is a prominent inventor based in Daegu, South Korea. He has made significant contributions to the field of network quantization and compression. His innovative approach has garnered attention in the tech industry, particularly through his work at Samsung Electronics Ltd.

Latest Patents

Jihwan Choi holds a patent for a method and apparatus for data-free network quantization and compression with adversarial knowledge distillation. This patent outlines a method that includes receiving a random input at a generator, producing a synthetic output, and minimizing the distance between outputs of a teacher network and a student network. This innovative approach aims to enhance the efficiency of network models without the need for extensive data.

Career Highlights

Choi's career at Samsung Electronics Ltd. has been marked by his dedication to advancing technology in the field of artificial intelligence and machine learning. His work has not only contributed to the company's portfolio but has also positioned him as a key player in the industry.

Collaborations

Throughout his career, Jihwan Choi has collaborated with talented individuals such as Yoo Jin Choi and Mostafa El-Khamy. These collaborations have fostered an environment of innovation and creativity, leading to groundbreaking advancements in their respective fields.

Conclusion

Jihwan Choi's contributions to network quantization and compression exemplify the spirit of innovation in technology. His work continues to influence the development of efficient machine learning models, showcasing the importance of creativity and collaboration in the tech industry.

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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