Pohang, South Korea

Kyungjoong Jeong

This inventor holds 146 USPTO granted patents and 1 published patent application and 120 EPO patents, primarily in Autonomous Driving Technology (CPC class G06K9-6262). Top assignees: Stradvision, Inc., Stadvision, Inc.. Active years: 2018-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kyungjoong Jeong. Retrieved from https://idiyas.com/inventor/kyungjoong-jeong

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

USPTO Granted Patents = 146 

% Patents Active = 100.0

 

Average Co-Inventor Count = 13.2

ph-index = 14

Forward Citations = 879(Granted Patents)

Forward Citations (Not Self Cited) = 663(Dec 10, 2025)


Inventors with similar research interests:

🔬 See more inventors

Location History:

  • Pohang-si, KR (2019 - 2021)
  • Gyeongsangbuk-do, KR (2018 - 2022)

Company Filing History:


Years Active: 2018-2022

Loading Chart...
Loading Chart...
Areas of Expertise:
Neural Networks
Sensor Fusion
V2X Communication
Autonomous Vehicles
Driving Safety
Path Planning
Object Detection
Generative Adversarial Networks
Deep Learning
Reinforcement Learning
Traffic Management
Driving Assistance
146 patents (USPTO):Explore Patents

Title: Kyungjoong Jeong: Innovator and Inventor Extraordinaire

Introduction:

Kyungjoong Jeong, a visionary inventor and pioneer in the field of artificial intelligence and machine learning, hails from Pohang-si, South Korea. With an impressive portfolio of 146 patents under his belt, Jeong has marked his place as a leading figure in hardware optimization and on-device continual learning of neural networks. In this article, we delve into Jeong's latest patents, career highlights, notable collaborations, and the impact his inventions have had on various industries.

Latest Patents:

Jeong's recent patents highlight his groundbreaking work in optimizing hardware for Convolutional Neural Networks (CNNs) using novel learning methods. One example is his patent titled "Learning method and learning device for CNN using 1xK or Kx1 convolution to be used for hardware optimization." This invention presents a method for training CNNs by employing 1xK or Kx1 convolution operations to satisfy Key Performance Indicators (KPIs) for hardware optimization. By reshaping feature maps and adjusting feature maps through convolution operations, Jeong's innovation enables efficient hardware utilization.

Another notable patent is the "Method and device for on-device continual learning of a neural network which analyzes input data, and method and device for testing the neural network." This invention tackles the challenge of enabling continual learning in neural networks present in smartphones, drones, vessels, or military applications. Jeong's approach utilizes generative adversarial networks (GANs) and online learning methods to minimize resource consumption, prevent catastrophic forgetting, and ensure data privacy.

Career Highlights:

Kyungjoong Jeong's exemplary career includes contributions to esteemed organizations such as Stradvision, Inc. and Stadvision, Inc. These companies, which specialize in computer vision and autonomous vehicle technologies, have benefited greatly from Jeong's expertise in neural network optimization and hardware-driven innovations. His pioneering work has helped shape the future of these industries, allowing for enhanced safety and performance in autonomous systems.

Collaborations:

Throughout his career, Jeong has had the privilege of collaborating with professionals who share his passion for technological innovation. Notably, he has worked closely with Yongjoong Kim and SukHoon Boo, distinguished colleagues who have made invaluable contributions to the fields of artificial intelligence, machine learning, and computer vision. Their collaborations have led to numerous breakthroughs, advances, and shared knowledge.

Conclusion:

Kyungjoong Jeong's tireless pursuit of innovation and his groundbreaking patents have paved the way for advancements in hardware optimization, on-device continual learning, and various other applications of artificial intelligence. His work has not only revolutionized the field but has also found practical applications in areas such as smartphone technology, drone operations, naval vessels, and military systems. With his illustrious career and significant contributions to the world of technology, Jeong continues to inspire inventors, researchers, and companies seeking to revolutionize the landscape of AI and machine learning.

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]
Loading…