Chien-Yao Wang

Title: Innovations of Chien-Yao Wang

Introduction

Chien-Yao Wang is a notable inventor based in Taoyuan, Taiwan. He has made significant contributions to the field of machine learning and image processing. With a total of 2 patents, his work focuses on advancing technology through innovative methods and devices.

Latest Patents

Wang's latest patents include a machine learning method and a machine learning device. The machine learning method involves receiving an input signal and performing normalization on it. This normalized input signal is then transmitted to a convolutional layer, followed by the addition of a sparse coding layer. The sparse coding layer utilizes dictionary atoms to reconstruct signals based on the normalized input signal. Additionally, Wang has developed a method for repairing incomplete 3D depth images using 2D image information. This method entails obtaining both 2D image information and 3D depth image information, followed by a series of steps to analyze and reconstruct the 3D images effectively.

Career Highlights

Chien-Yao Wang is affiliated with National Central University, where he continues to contribute to research and development in his field. His innovative approaches have garnered attention and recognition within the academic and technological communities.

Collaborations

Wang has collaborated with notable colleagues, including Jia-Ching Wang and Chih-Hsuan Yang. Their joint efforts have further advanced the research and applications of machine learning and image processing technologies.

Conclusion

Chien-Yao Wang's contributions to machine learning and image processing exemplify the spirit of innovation. His patents reflect a commitment to enhancing technology and solving complex problems in the field.