Milpitas, CA, United States of America

Zhaoqi Leng

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Zhaoqi Leng: Innovator in Point Cloud Processing

Introduction

Zhaoqi Leng is a prominent inventor based in Milpitas, CA, known for his contributions to the field of machine learning and point cloud processing. He has developed innovative methods and systems that enhance the capabilities of neural networks in handling three-dimensional data.

Latest Patents

Zhaoqi Leng holds a patent titled "Performing point cloud tasks using multi-scale features generated through self-attention." This patent describes methods, systems, and apparatus for processing point clouds using neural networks to perform machine learning tasks. The system comprises one or more computers configured to obtain a set of point clouds captured by sensors. Each point cloud includes a plurality of three-dimensional points. The computers assign these points to respective voxels in a voxel grid, generating initial features based on the points assigned to non-empty voxels. The system then generates multi-scale features of the voxel grid and produces an output for a point cloud processing task.

Career Highlights

Zhaoqi Leng is currently employed at Waymo LLC, a leader in autonomous vehicle technology. His work focuses on advancing the processing of point clouds, which is crucial for the development of self-driving cars. His innovative approaches have the potential to significantly improve the accuracy and efficiency of machine learning tasks in this domain.

Collaborations

Zhaoqi has collaborated with notable colleagues such as Pei Sun and Mingxing Tan, contributing to a dynamic research environment that fosters innovation and technological advancement.

Conclusion

Zhaoqi Leng's work in point cloud processing exemplifies the intersection of technology and innovation. His contributions are paving the way for advancements in machine learning and autonomous systems.

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