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For the Inventor, By the Inventor

Toronto, Canada

Bin Yang

USPTO Granted Patents = 23 

Average Co-Inventor Count = 4.7

ph-index = 4

Forward Citations = 50(Granted Patents)


Company Filing History:

goldMedal17 out of 472 
 
Uatc, LLC
 patents
silverMedal6 out of 278 
 
Aurora Operations, Inc.
 patents

Years Active: 2021-2026

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23 patents (USPTO):Explore Patents
1. 12517252 - Three-dimensional object detection (2026-01-06),
2. 12282328 - Systems and methods for using attention masks to improve motion planning (2025-04-21),
3. 12210344 - Sparse convolutional neural networks (2025-01-28),
4. 12141995 - Systems and methods for simulating dynamic objects based on real world data (2024-11-12),
5. 12116015 - Automatic annotation of object trajectories in multiple dimensions (2024-10-15),
6. 12103554 - Systems and methods for autonomous vehicle systems simulation (2024-10-01),
7. 12051001 - Multi-task multi-sensor fusion for three-dimensional object detection (2024-07-30),
8. 12013457 - Systems and methods for integrating radar data for improved object detection in autonomous vehicles (2024-06-18),
9. 11860629 - Sparse convolutional neural networks (2024-01-02),
10. 11780472 - Systems and methods for generating motion forecast data for a plurality of actors with respect to an autonomous vehicle (2023-10-10),
11. 11768292 - Three-dimensional object detection (2023-09-26),
12. 11760386 - Systems and methods for vehicle-to-vehicle communications for improved autonomous vehicle operations (2023-09-19),
13. 11760385 - Systems and methods for vehicle-to-vehicle communications for improved autonomous vehicle operations (2023-09-19),
14. 11755018 - End-to-end interpretable motion planner for autonomous vehicles (2023-09-12),
15. 11691650 - Systems and methods for generating motion forecast data for a plurality of actors with respect to an autonomous vehicle (2023-07-04),

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.

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