Toronto, Canada

Bin Yang

This inventor holds 24 USPTO granted patents and 10 published patent applications, primarily in Autonomous Vehicle Systems. Top assignees: Uatc, LLC, Aurora Operations, Inc.. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Bin Yang. Retrieved from https://idiyas.com/inventor/bin-yang-nwy00k1y

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 24 

% Patents Active = 95.8

Average Co-Inventor Count = 4.7

ph-index = 5

Forward Citations = 59(Granted Patents)


Company Filing History:


Years Active: 2021-2026

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Areas of Expertise:
Object Detection
Motion Planning
Sensor Fusion
Trajectory Annotation
Convolutional Neural Networks
Autonomous Vehicles
Dynamic Object Simulation
Vehicle Communications
24 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Bin Yang in Toronto, CA

Introduction

Bin Yang, a prominent inventor based in Toronto, Canada, has made significant strides in the field of technology, particularly in neural networks and dynamic object simulation. With an impressive portfolio of 21 patents to his name, his work showcases advancements that have the potential to transform various sectors, including autonomous vehicles and real-world data applications.

Latest Patents

Among Bin Yang's latest innovations is his patent on Sparse Convolutional Neural Networks. This work details systems and methods that enhance the application of convolutional neural networks to sparse imagery, making them particularly beneficial for autonomous vehicles. The methodology involves the extraction of relevant portions of imagery, thus allowing machines to focus on essential data while bypassing less relevant areas, optimizing processing efficiency.

Another significant patent of his revolves around Systems and Methods for Simulating Dynamic Objects Based on Real-World Data. This invention provides a framework for generating simulation data that represents dynamic objects by leveraging two- and three-dimensional data. By employing machine-learned models, this approach enables the accurate depiction of an object's pose and shape, with the potential for real-time applications in various fields.

Career Highlights

Throughout his career, Bin Yang has been associated with noteworthy companies, including UATC, LLC and Aurora Operations, Inc. His roles in these organizations have allowed him to collaborate on pioneering projects that blend machine learning with real-world applications.

Collaborations

Bin Yang has worked alongside esteemed colleagues, such as Raquel Urtasun and Ming Liang. Their collaborative efforts have fostered an environment of innovation, leading to breakthroughs in technology that emphasize the importance of teamwork in the research and development process.

Conclusion

In summary, Bin Yang's contributions to the field of technology and innovation through his numerous patents reflect a profound understanding and application of modern scientific principles. As he continues to build upon his work in Toronto, his inventions are poised to leave a lasting impact on industries ranging from automotive to data simulation.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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