Taipei, Taiwan

Jung-Chang Kuo

This inventor holds 6 USPTO granted patents and 3 published patent applications. Top assignees: Kabushiki Kaisha Ubitus, Ubitus, Inc.. Active years: 2017-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jung-Chang Kuo. Retrieved from https://idiyas.com/inventor/jung-chang-kuo-dca4n9fx

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

Calculating rank
USPTO Granted Patents = 6 

% Patents Active = 100.0

Average Co-Inventor Count = 4.2

ph-index = 2

Forward Citations = 14(Granted Patents)


Company Filing History:


Years Active: 2017-2025

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6 patents (USPTO):Explore Patents

Title: Innovations of Jung-Chang Kuo

Introduction

Jung-Chang Kuo is a prominent inventor based in Taipei, Taiwan. He has made significant contributions to the field of artificial intelligence and gaming technology. With a total of six patents to his name, Kuo has developed innovative methods that enhance both gaming experiences and media quality.

Latest Patents

One of Kuo's latest patents is a "Method for training AI bot in computer game." This invention introduces a pure end-to-end deep reinforcement learning approach for training an AI bot in car racing games. The AI bot utilizes only velocity information extracted from the screen during both training and testing phases, without relying on any internal state from the game environment. The AI bot demonstrates performance that surpasses the average human player. Additionally, the reward function is designed to consist solely of the velocity value, employing the Ape-X distributed training framework combined with a variant of Deep Q Network to address the sparse training signal problem. Furthermore, a limit learner rate method is implemented to enhance training efficiency and performance, allowing the AI bot to achieve results comparable to professional players.

Another notable patent is the "Method for enhancing quality of media." This method employs an AI enhancing model built into client devices to improve the quality of video streams. The AI enhancement module is pre-trained using a neural network on the server, which analyzes the differences between decoded images and raw images generated by the server. The AI enhancement module then enhances the decoded images using algorithms based on these differences, resulting in enhanced images that visually resemble the raw images more closely than the decoded images.

Career Highlights

Kuo has worked with notable companies such as Ubitus, Inc. and Kabushiki Kaisha Ubitus. His experience in these organizations has contributed to his expertise in AI and gaming technologies.

Collaborations

Kuo has collaborated with talented individuals such as An-Lun Teng and Tzer-Jen Wei, further enriching his innovative endeavors.

Conclusion

Jung-Chang Kuo's contributions to the fields of artificial intelligence and gaming technology are noteworthy. His innovative patents reflect his commitment to enhancing user experiences in gaming and media. Kuo continues to be a significant figure in the realm of technological advancements.

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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