Yin-Ying Chen

Title: Innovations of Yin-Ying Chen

Introduction

Yin-Ying Chen is a prominent inventor based in Sunnyvale, CA. He has made significant contributions to the field of technology, particularly in the areas of sensory media association and image classification. With a total of 15 patents to his name, Chen's work continues to influence advancements in neural networks and machine learning.

Latest Patents

One of Chen's latest patents is titled "System and method for learning sensory media association without using text labels." This innovative method involves a computer-implemented process that receives two types of nontext inputs, encodes and decodes them using autoencoders with convolutional neural networks, and generates outputs based on these inputs. Another notable patent is "System and method for identification and localization of images using triplet loss and predicted regions." This method classifies image features through a neural network, utilizing triplet loss processes to enhance image classification accuracy.

Career Highlights

Throughout his career, Chen has worked with esteemed companies such as Fuji Xerox Co., Ltd. and Fujifilm Business Innovation Corp. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to the advancement of technology in various sectors.

Collaborations

Chen has collaborated with notable individuals in his field, including Francine R Chen and Dhiraj Joshi. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Yin-Ying Chen's contributions to technology through his patents and collaborations highlight his role as a leading inventor in the field. His innovative approaches to sensory media and image classification continue to pave the way for future advancements.