Yachen Xiang

Title: Yachen Xiang: Innovator in Image Compression Technology

Introduction

Yachen Xiang is a prominent inventor based in Beijing, China. He has made significant contributions to the field of image compression technology. His innovative approach utilizes advanced computing techniques to enhance image processing efficiency.

Latest Patents

Yachen Xiang holds a patent for a "System and method for compressing image based on flash in-memory computing array." This patent describes a system that includes a convolutional neural network for encoding and decoding images based on a FLASH in-memory computing array. The process involves encoding an original image to create a feature image, quantizing this feature image to obtain a quantized image, and then decoding the quantized image to produce a compressed image. This method showcases the integration of neural networks and in-memory computing to improve image compression.

Career Highlights

Yachen Xiang is affiliated with Peking University, where he continues to advance his research and development in image processing technologies. His work has garnered attention for its innovative use of convolutional neural networks in practical applications.

Collaborations

Yachen Xiang collaborates with notable colleagues, including Jinfeng Kang and Peng Huang. Their combined expertise contributes to the advancement of technology in their respective fields.

Conclusion

Yachen Xiang is a key figure in the realm of image compression technology, with a focus on utilizing cutting-edge methods to enhance image processing. His contributions are paving the way for future innovations in this area.