Tokyo, Japan

Tsewei Chen

USPTO Granted Patents = 29 

 

Average Co-Inventor Count = 1.8

ph-index = 2

Forward Citations = 18(Granted Patents)


Company Filing History:


Years Active: 2016-2025

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29 patents (USPTO):Explore Patents

Title: Tsewei Chen: Pioneering Innovations in Neural Network Technology

Introduction

Tsewei Chen is a notable inventor based in Tokyo, Japan, with an impressive portfolio of 26 patents. His contributions to the field of technology, particularly in neural networks, have positioned him as a significant figure in the innovation landscape.

Latest Patents

Among his most recent patents are groundbreaking methodologies aimed at enhancing multi-layer neural network models. One of these patents presents a training and application method that focuses on expanding the number of input feature maps during forward propagation. This methodology is complemented by an apparatus and storage medium designed to improve data computation efficiency. Another noteworthy patent describes a data processing apparatus specifically designed for object detection using a hierarchical neural network. This innovation includes parallel neural networks that work together to compute feature data based on defined parameters, demonstrating the advanced capabilities of Chen's inventions.

Career Highlights

Tsewei Chen is a valued member of Canon Kabushiki Kaisha, a leading company in imaging and optical products. His work has significantly contributed to the development of innovative technologies that streamline data processing and enhance artificial intelligence applications.

Collaborations

Throughout his career, Chen has collaborated with esteemed colleagues such as Masami Kato and Dongchao Wen. These partnerships have facilitated the sharing of insights and knowledge, fostering an environment ripe for innovation and technological advancement.

Conclusion

Tsewei Chen's extensive patent portfolio and his role at Canon Kabushiki Kaisha underscore his influence in the tech industry. His innovations in neural network technology not only push the boundaries of current methodologies but also set the stage for future advancements in artificial intelligence and data processing.

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