Athens, OH, United States of America

Charles Li Chen


Average Co-Inventor Count = 7.1

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2020-2022

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Innovations of Charles Li Chen

Introduction

Charles Li Chen is an accomplished inventor based in Athens, OH (US). He has made significant contributions to the field of technology, particularly in the areas of figure captioning systems and predictive analysis.

Latest Patents

Charles Li Chen holds three patents, with his latest innovations focusing on advanced systems for generating figure captions and predictive analysis of user behaviors. One of his notable patents is a figure captioning system that employs neural networks to generate accurate captions for electronic figures. This system utilizes a training dataset to train the neural networks, which are configured in an encoder-decoder architecture with attention mechanisms. The trained networks can analyze electronic figures and produce meaningful captions based on various detected aspects. Another significant patent involves predictive analysis of target behaviors using RNN-based user embeddings. This system generates predictive models to forecast user actions based on their navigation sequences, applying Recurrent Neural Networks to encode these sequences into user embeddings.

Career Highlights

Charles Li Chen is currently employed at Adobe, Inc., where he continues to innovate and develop cutting-edge technologies. His work has had a profound impact on how electronic figures are interpreted and how user actions are predicted in digital environments.

Collaborations

Some of his notable coworkers include Sungchul Kim and Eunyee Koh, who have collaborated with him on various projects within Adobe, Inc.

Conclusion

Charles Li Chen's contributions to technology through his patents and work at Adobe, Inc. highlight his role as a leading inventor in the field. His innovative systems for figure captioning and predictive analysis demonstrate the potential of technology to enhance user experience and understanding.

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