Runze Han

Title: Runze Han: Innovator in Image Compression and Convolution Operations

Introduction

Runze Han is a prominent inventor based in Beijing, China. He has made significant contributions to the fields of image processing and semiconductor technology. With a total of two patents to his name, Han is recognized for his innovative approaches to complex technical challenges.

Latest Patents

Han's latest patents include a "System and method for compressing image based on flash in-memory computing array." This invention provides a comprehensive system that utilizes convolutional neural networks for both encoding and decoding images, along with a quantization module to enhance image compression efficiency. His second patent, titled "Convolution operation method based on NOR flash array," focuses on a method for performing convolution operations using a NOR flash storage structure. This method involves storing convolution kernel matrix elements in NOR flash cells and applying voltages to achieve desired computational results.

Career Highlights

Runze Han is affiliated with Peking University, where he continues to advance his research and development efforts. His work has garnered attention for its practical applications in modern technology, particularly in the realms of image processing and integrated circuit design.

Collaborations

Han collaborates with notable colleagues, including Jinfeng Kang and Peng Huang, who contribute to his research endeavors and help drive innovation in their respective fields.

Conclusion

Runze Han exemplifies the spirit of innovation through his groundbreaking patents and contributions to technology. His work not only enhances image processing techniques but also pushes the boundaries of semiconductor technology.