San Mateo, CA, United States of America

Yongzhi Zhang

USPTO Granted Patents = 2 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

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2 patents (USPTO):Explore Patents

Title: The Innovative Work of Yongzhi Zhang in Neural Network Optimization

Introduction

Yongzhi Zhang, an accomplished inventor based in San Mateo, California, has made significant contributions to the field of neural network optimization through his innovative patents. His research focuses on enhancing the efficiency of neural networks, essential in today's advanced computational technologies.

Latest Patents

Yongzhi Zhang holds two notable patents that showcase his expertise and innovation. The first patent is titled "Method and device for matrix multiplication optimization using vector registers." This method involves receiving a matrix from a neural network model, classifying parts of it based on the distribution of non-zero elements, and efficiently loading these elements into vector registers to optimize matrix multiplication processes.

The second patent, "Method and device for reducing a size of a neural network model," aims to compress the data within neural networks while identifying the structural information of vector registers. This method enhances memory efficiency by evaluating the size of the compressed data against predefined conditions and associating it with vector registers for optimized loading.

Career Highlights

Yongzhi Zhang is associated with Alibaba Group Holding Limited, a leading technology company that emphasizes innovation and development in various sectors, including artificial intelligence and cloud computing. His work at Alibaba has positioned him as a key player in the advancement of neural network technologies.

Collaborations

Throughout his career, Yongzhi has collaborated with talented peers, including Weifeng Zhang and Guoyang Chen. Their combined efforts contribute significantly to the research and development initiatives within their field, enhancing the functionality and performance of neural networks.

Conclusion

Yongzhi Zhang's inventive spirit and technical expertise have paved the way for cutting-edge developments in neural network optimization. His patents reflect a commitment to improving computational efficiency, which is vital for the next generation of artificial intelligence applications. As he continues to work at Alibaba, his contributions will undoubtedly influence the future of technology.

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