Qichun Cao

Title: Qichun Cao: Innovator in Neural Network Compression

Introduction

Qichun Cao is a prominent inventor based in Jiangsu, China. He has made significant contributions to the field of neural network technology, particularly in the area of compression methods. With a total of 2 patents, his work is paving the way for advancements in artificial intelligence and machine learning.

Latest Patents

Cao's latest patents include a neural network compression method, apparatus, and device, as well as a hardware environment-based data quantization method and apparatus. The neural network compression method involves performing forward inference on target data using a target parameter sharing network to obtain an output feature map. This method extracts channel-related features from the output feature map and utilizes a target meta-generative network to predict an optimal network architecture, resulting in a compressed neural network model. The hardware environment-based data quantization method focuses on parsing model files to obtain intermediate computational graph data and weight data, performing calculations on image data, and applying uniform quantization to generate quantized file data that meets hardware requirements.

Career Highlights

Qichun Cao is currently employed at Inspur Suzhou Intelligent Technology Co., Ltd. His role at the company allows him to apply his innovative ideas and contribute to the development of cutting-edge technologies in the field of artificial intelligence.

Collaborations

Cao has collaborated with notable colleagues such as Wenfeng Yin and Gang Dong. Their combined expertise enhances the research and development efforts within their projects.

Conclusion

Qichun Cao's contributions to neural network compression and data quantization are significant in advancing technology in artificial intelligence. His innovative patents and collaborative efforts position him as a key figure in the field.