Wei Gao

Title: Innovations and Contributions of Inventor Wei Gao

Introduction

Wei Gao is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of technology, particularly in neural networks and target detection systems. With a total of 15 patents to his name, his work has had a substantial impact on the industry.

Latest Patents

Wei Gao's latest patents include a method and device for determining a task-driven pruning module. This invention involves obtaining an input task and a task quantity of a neural network to be pruned, and outputting information of a component module of the neural network. The process includes determining a task correlation degree, an input information retention degree, and an importance index value to identify the pruning module in the neural network. Another notable patent is an optimization method for constructing a target detection network. This method focuses on utilizing high-quality and low-quality visual media data to optimize a target detection network based on various loss functions.

Career Highlights

Throughout his career, Wei Gao has worked with leading organizations such as Huawei Technologies Co., Limited and Peking University. His experience in these institutions has allowed him to develop innovative solutions and contribute to advancements in technology.

Collaborations

Wei Gao has collaborated with notable colleagues, including Meihong Liu and Wanliang Xu. Their joint efforts have further enhanced the quality and impact of their research and inventions.

Conclusion

Wei Gao's contributions to technology through his patents and collaborations highlight his role as a leading inventor in the field. His innovative methods and devices continue to influence advancements in neural networks and target detection systems.