Yongzhuang Wang

Title: Yongzhuang Wang: Innovator in Quantization Model Optimization

Introduction

Yongzhuang Wang is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of optimization methods for quantization models. His innovative approach has garnered attention in the tech industry, particularly in the realm of neural networks and electronic devices.

Latest Patents

Yongzhuang Wang holds a patent titled "Method and apparatus for optimizing quantization model, electronic device, and computer storage medium." This patent describes an optimization method that involves determining jump ratios of embedding layer parameters of a trained quantization model within a predetermined time range. The quantization model is a neural network model that has undergone quantization processing on the embedding layer parameters. The method also includes determining a jump curve based on the jump ratios and fitting this curve to obtain a corresponding time scaling parameter. Ultimately, the method optimizes the initial algorithm of the quantization model based on the time scaling parameter, leading to an enhanced target optimization algorithm for training the quantization model.

Career Highlights

Yongzhuang Wang is currently employed at Tencent Technology (Shenzhen) Company Limited, where he applies his expertise in optimization methods. His work has been instrumental in advancing the capabilities of electronic devices and improving the efficiency of neural network models.

Collaborations

Yongzhuang Wang collaborates with talented individuals such as Yi Yuan and Zhicheng Mao. Their combined efforts contribute to the innovative projects at Tencent Technology, fostering a collaborative environment that encourages creativity and technological advancement.

Conclusion

Yongzhuang Wang is a notable inventor whose work in optimizing quantization models has made a significant impact in the tech industry. His contributions continue to shape the future of electronic devices and neural network applications.