Yong Lu

Title: Yong Lu: Innovator in Neural Network Processing

Introduction

Yong Lu is a prominent inventor based in Los Altos, California. He has made significant contributions to the field of neural network processing, holding a total of four patents. His work focuses on enhancing the efficiency and effectiveness of convolution processing in neural networks.

Latest Patents

Yong Lu's latest patents include innovative methods and systems for balanced-weight sparse convolution processing. This patent describes a method that involves obtaining an input tensor and a plurality of filters within a neural network. The process includes segmenting the input tensor into sub-tensors and dividing the channel dimension of each filter into channel groups. Each filter is pruned to ensure that each channel group contains the same number of non-zero weights. The sub-tensors and sub-filters are then assigned to processors for parallel convolution processing.

Another notable patent is for hierarchical weight-sparse convolution processing. This method involves obtaining an input tensor and a filter at a convolution layer of a neural network. The filter is segmented into sub-filters, and a hierarchical bit representation is generated to represent the non-zero weights in the filter. This representation allows for efficient multiply-and-accumulate operations based on the input tensor.

Career Highlights

Yong Lu has worked with Moffett Technologies Co., Limited and Moffett International Co., Limited, where he has applied his expertise in neural network processing. His innovative approaches have contributed to advancements in the field, making him a valuable asset to the companies he has been associated with.

Collaborations

Yong Lu has collaborated with notable coworkers such as Zhibin Xiao and Enxu Yan. Their combined efforts have led to significant advancements in neural network technologies.

Conclusion

Yong Lu's contributions to neural network processing through his patents and career highlights demonstrate his commitment to innovation in the field. His work continues to influence advancements in technology and processing efficiency.