Shijun Cong

Title: **Inventor Shijun Cong: Pioneering Neural Network Compression**

Introduction

Shijun Cong, an accomplished inventor based in Beijing, China, has made significant contributions to the field of artificial intelligence, particularly in the area of neural networks. With a focus on enhancing the efficiency of machine learning models, Cong's innovative approach aims to optimize the performance of neural networks through advanced compression techniques.

Latest Patents

Cong holds a notable patent titled "Method and apparatus for compressing neural network model." This invention outlines a method for compressing a neural network model by determining specific parameters such as the first bit width, the second bit width, and a target thinning rate. The process involves obtaining a target value based on these parameters and utilizing it to achieve a streamlined and effective compression result of the neural network model.

Career Highlights

Shijun Cong is currently associated with Beijing Baidu Netcom Science Technology Co., Ltd., a leading company in the technology sector. His work emphasizes the continuous improvement of neural networks, aligning with the company's vision to advance technological innovations in AI and machine learning.

Collaborations

Throughout his career, Cong has collaborated with talented professionals, including Guibin Wang and Hao Dong. These partnerships foster an environment of creativity and innovation, enabling the team to tackle complex challenges in the realm of neural networks and contribute to the broader AI community.

Conclusion

With a robust patent focused on neural network compression and a dynamic career at Beijing Baidu Netcom Science Technology Co., Ltd., Shijun Cong represents the forefront of innovation in AI. His contributions not only enhance the efficiency of neural networks but also pave the way for future advancements in artificial intelligence technology.