Xiao Dong Lin

Title: The Innovations of Xiao Dong Lin

Introduction

Xiao Dong Lin is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of technology, particularly in the area of convolutional neural networks. With a total of 15 patents to his name, Lin's work has garnered attention for its innovative approaches and practical applications.

Latest Patents

One of Lin's latest patents is titled "Method and apparatus for keeping statistical inference accuracy with 8-bit Winograd convolution." This invention focuses on maintaining the accuracy of statistical inference while utilizing an 8-bit Winograd convolution method. The process involves sampling a calibration dataset and a pretrained CNN that comprises 32-bit floating point weight values. By generating an input activation tensor and a weight tensor, Lin's method allows for the creation of transformed tensors through matrix multiplication. The invention ultimately leads to the development of an 8-bit CNN model that incorporates scale factors for enhanced performance.

Career Highlights

Throughout his career, Xiao Dong Lin has worked with notable companies, including Intel Corporation. His experience in the tech industry has equipped him with the skills and knowledge necessary to innovate and push the boundaries of current technologies.

Collaborations

Lin has collaborated with talented individuals such as Yong Wu and Xueliang Zhong. These partnerships have contributed to the advancement of his projects and the successful development of his patents.

Conclusion

Xiao Dong Lin's contributions to technology through his patents and collaborations highlight his role as a leading inventor in the field. His innovative methods and dedication to improving statistical inference accuracy demonstrate the impact of his work on the industry.