Yubin Li

Title: Yubin Li: Innovator in Neural Network Hardware Acceleration

Introduction

Yubin Li is a notable inventor based in Beijing, China, recognized for his contributions to the field of neural network hardware acceleration. With a total of two patents to his name, he has made significant advancements in the efficiency and performance of artificial intelligence technologies.

Latest Patents

Yubin Li's recent patents highlight his innovative approach to enhancing neural network systems. One of his latest inventions is the "Efficient Data Access Control Device for Neural Network Hardware Acceleration System." This technical disclosure focuses on improving data access control within neural networks, effectively addressing potential bottlenecks in computation. The invention proposes a comprehensive design for a device capable of processing data receiving, bit-width transformation, and data storage, ensuring optimal performance in neural network hardware acceleration systems.

Another significant patent is the "Hardware Accelerator for Compressed Long Short Term Memory (LSTM)." This invention features a sparse matrix-vector multiplication module that executes operations between sparse matrices and vectors to derive multiple multiplication results. The design includes an addition tree module for accumulating results and a non-linear operation module for applying activation functions. The pipeline design adopted in this accelerator allows for simultaneous data transfer and computation, enhancing efficiency in processing compressed LSTMs.

Career Highlights

Yubin Li has garnered experience working with prestigious companies in the technology sector. He has contributed his expertise at Xilinx, Inc. and Beijing Deephi Intelligent Technology Co., Ltd., where he has worked on pioneering technologies that drive advancements in artificial intelligence and machine learning.

Collaborations

During his career, Yubin Li has collaborated with notable professionals in the industry, including Song Han and Yi Shan. These collaborations have enabled him to leverage a diverse range of insights and expertise, further enhancing his innovative pursuits in neural network technology.

Conclusion

Yubin Li's work in neural network hardware acceleration exemplifies the impact of innovation and invention on modern technology. His patents not only address crucial challenges in the field but also pave the way for future advancements in artificial intelligence. As the demand for efficient computational systems continues to grow, inventors like Yubin Li will remain at the forefront of technological progress.