Qingyuan Li

Title: Qingyuan Li: Innovator in Neural Network Technologies

Introduction

Qingyuan Li is a prominent inventor based in Beijing, China. He has made significant contributions to the field of neural networks, with a focus on methods and apparatuses that enhance the training and optimization of these complex models. With a total of 4 patents to his name, Li's work is at the forefront of artificial intelligence research.

Latest Patents

Qingyuan Li's latest patents include innovative methods for training neural networks. One notable patent is titled "Method and apparatus for training neural network, and storage medium." This invention outlines a process for training a super network to obtain network parameters, which involves selecting candidate network sub-structures and constructing a sub-network based on these selections. Another significant patent is "Search method, device and storage medium for neural network model structure." This patent describes a method for generating and optimizing network model structures using multi-objective optimization and reinforcement learning techniques.

Career Highlights

Throughout his career, Qingyuan Li has worked with notable companies, including Beijing Xiaomi Intelligent Technology Co., Ltd. His experience in these organizations has allowed him to apply his innovative ideas in practical settings, contributing to advancements in technology.

Collaborations

Qingyuan Li has collaborated with talented individuals in his field, including Xiangxiang Chu and Ruijun Xu. These partnerships have fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Qingyuan Li's contributions to neural network technologies exemplify the spirit of innovation in the field of artificial intelligence. His patents reflect a deep understanding of complex systems and a commitment to advancing technology.