Taipei, Taiwan

An-Lun Teng

This inventor holds 6 USPTO granted patents and 2 published patent applications. Top assignees: Kabushiki Kaisha Ubitus, Ubitus, Inc.. Active years: 2015-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: An-Lun Teng. Retrieved from https://idiyas.com/inventor/an-lun-teng

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

USPTO Granted Patents = 6 

% Patents Active = 100.0

Average Co-Inventor Count = 4.2

ph-index = 2

Forward Citations = 25(Granted Patents)


Company Filing History:


Years Active: 2015-2025

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6 patents (USPTO):Explore Patents

Title: An-Lun Teng: Innovator in AI and Media Enhancement

Introduction

An-Lun Teng is a prominent inventor based in Taipei, Taiwan. He has made significant contributions to the fields of artificial intelligence and media enhancement, holding a total of six patents. His innovative approaches have led to advancements in AI training methods and media quality improvement.

Latest Patents

One of Teng's latest patents is a "Method for training AI bot in computer game." This invention introduces a pure end-to-end deep reinforcement learning technique for training AI bots in car racing games. The method 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 developed through this method demonstrates performance that surpasses the average human player. Additionally, the reward function is designed to focus solely on 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 integrated 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

An-Lun Teng 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 media technologies.

Collaborations

Teng has collaborated with talented individuals in his field, including Jung-Chang Kuo and Tzer-Jen Wei. Their joint efforts have furthered the development of innovative solutions in AI and media enhancement.

Conclusion

An-Lun Teng's contributions to AI and media enhancement through his patents reflect his innovative spirit and dedication to advancing technology. His work continues to influence the industry and improve user experiences in gaming and media consumption.

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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