Chun-Chen Liu

Title: Innovations of Chun-Chen Liu in Convolution Neural Networks

Introduction

Chun-Chen Liu is a prominent inventor based in San Diego, CA, known for his significant contributions to the field of convolution neural networks. With a total of 15 patents to his name, Liu has been at the forefront of developing innovative technologies that enhance the performance of neural networks.

Latest Patents

Liu's latest patents include groundbreaking work on low precision and coarse-to-fine dynamic fixed-point quantization design in convolution neural networks. This invention involves inputting data into a floating pre-trained convolution neural network to generate floating feature maps for each layer. A statistical analysis is performed on these feature maps to create a dynamic quantization range for each layer, allowing for low-precision fixed-point arithmetic operations. Another notable patent is the deep neural network with low-precision dynamic fixed-point in reconfigurable hardware design. This system operates a floating-to-fixed arithmetic framework on hardware such as CPUs, enabling high-performance CNN implementations on resource-limited embedded systems like mobile phones and video cameras.

Career Highlights

Throughout his career, Chun-Chen Liu has worked with notable companies, including Kneron, Inc. and Kneron (Taiwan) Co., Ltd. His work has significantly impacted the development of efficient neural network models, making them more accessible for various applications.

Collaborations

Liu has collaborated with talented individuals such as Yuan Du and Li Du, contributing to the advancement of technology in the field of artificial intelligence.

Conclusion

Chun-Chen Liu's innovative work in convolution neural networks showcases his expertise and dedication to advancing technology. His patents reflect a commitment to improving the efficiency and performance of neural networks, making a lasting impact in the field.