Baopu Li

Title: Baopu Li: Innovator in Neural Network Pruning and Architecture Search

Introduction

Baopu Li is a prominent inventor based in Santa Clara, CA, known for his significant contributions to the field of neural networks. With a total of 10 patents, he has made remarkable strides in optimizing neural network architectures and enhancing their efficiency.

Latest Patents

One of Baopu Li's latest patents is titled "Automatic channel pruning via graph neural network based hypernetwork." This innovation addresses the challenge of reducing computation overheads in large neural networks, such as convolutional neural networks (CNNs). The patent introduces a novel hypernetwork that utilizes a graph neural network to generate and evaluate pruned networks. By constructing a graph that represents the information flow of channels and layers in a CNN, the method effectively aggregates local and global dependencies, resulting in informative node embeddings. This allows for the effective generation and evaluation of pruned CNN networks, including their architectures and weights.

Another significant patent is "Neural architecture search via similarity-based operator ranking." This invention presents an effective methodology for network architecture search (NAS) that addresses the common issues of weight sharing and operator coupling effects. By employing a similarity-based operator ranking based on statistical random comparison, the methodology aims to approximate each layer's output in the supernet. This innovative approach helps mitigate discrepancies in feature distribution and enhances the overall efficiency of the architecture search process.

Career Highlights

Baopu Li has worked with notable companies, including Baidu USA LLC and Baidu Times Technology (Beijing) Co. Ltd. His experience in these organizations has contributed to his expertise in neural networks and related technologies.

Collaborations

Throughout his career, Baopu Li has collaborated with talented individuals such as Yingze Bao and Zhiyu Cheng. These collaborations have further enriched his work and innovations in the field.

Conclusion

Baopu Li's contributions to neural network optimization and architecture search have positioned him as a leading inventor in the technology sector. His innovative patents reflect his commitment to advancing the capabilities of neural networks and improving their efficiency.