Yuan Ren

Title: Yuan Ren: Inventor in Sparse Point-Cloud Processing

Introduction

Yuan Ren is an inventor based in Thornhill, Canada, whose patent work includes methods for processing sparse point-cloud data. He is associated with Huawei Technologies Co., Ltd. His portfolio includes 2 patents.

Latest Patents

Ren’s listed patent work includes “Methods and Systems for Deterministic Calculation of Surface Normal Vectors for Sparse Point Clouds” and “Systems and Methods for Sparse Convolution of Unstructured Data.”

The latter describes processing sparse tensors with a trained neural network. Its encoder uses sparse convolution, attention modules, and residual components, while its decoder uses sparse transpose convolution, attention, and residual components. The system produces a sparse labeled point cloud.

Career Highlights

Ren’s patent activity reflects work at the intersection of point-cloud processing, sparse data, and neural-network methods. These techniques are relevant to systems that analyze unstructured spatial information.

Collaborations

Ren’s listed coworkers include Ryan Razani and Bingbing Liu. His association with Huawei Technologies Co., Ltd. provides the organizational context for his patent work.

Conclusion

Yuan Ren’s patents focus on computational methods for sparse point clouds, including neural-network-based processing of unstructured data.