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For the Inventor, By the Inventor

Toronto, Canada

Mengye Ren

USPTO Granted Patents = 15 

Average Co-Inventor Count = 5.3

ph-index = 3

Forward Citations = 17(Granted Patents)


Company Filing History:

goldMedal10 out of 472 
 
Uatc, LLC
 patents
silverMedal5 out of 272 
 
Aurora Operations, Inc.
 patents

Years Active: 2021-2025

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15 patents (USPTO):Explore Patents
1. 12282328 - Systems and methods for using attention masks to improve motion planning (2025-04-21),
2. 12223734 - Systems and methods for training machine-learned models with deviating intermediate representations (2025-02-11),
3. 12214801 - Generating autonomous vehicle testing data through perturbations and adversarial loss functions (2025-02-04),
4. 12210344 - Sparse convolutional neural networks (2025-01-28),
5. 12127085 - Systems and methods for mitigating vehicle pose error across an aggregated feature map (2024-10-22),
6. 11860629 - Sparse convolutional neural networks (2024-01-02),
7. 11834069 - Systems and methods for selecting trajectories based on interpretable semantic representations (2023-12-05),
8. 11780472 - Systems and methods for generating motion forecast data for a plurality of actors with respect to an autonomous vehicle (2023-10-10),
9. 11769058 - Systems and methods for identifying unknown instances (2023-09-26),
10. 11755014 - Jointly learnable behavior and trajectory planning for autonomous vehicles (2023-09-12),
11. 11691650 - Systems and methods for generating motion forecast data for a plurality of actors with respect to an autonomous vehicle (2023-07-04),
12. 11686848 - Systems and methods for training object detection models using adversarial examples (2023-06-27),
13. 11580851 - Systems and methods for simulating traffic scenes (2023-02-14),
14. 11475675 - Systems and methods for identifying unknown instances (2022-10-18),
15. 11061402 - Sparse convolutional neural networks (2021-07-13),

Title: Innovator Mengye Ren: Shaping the Future of Machine Learning and Autonomous Vehicles

Introduction

Mengye Ren, based in Toronto, Canada, is an established inventor with a remarkable portfolio of 14 patents. His contributions primarily focus on advancements in machine learning and autonomous vehicle communications. With a track record of innovative solutions, Ren continues to influence technology’s trajectory in significant ways.

Latest Patents

Among Mengye Ren's latest patents are groundbreaking systems and methods for training machine-learned models with deviating intermediate representations. This innovation allows an adverse system to generate a modified representation that can disrupt a machine-learned model associated with a targeted system by obtaining and altering sensor data. Additionally, he has developed techniques for generating testing data for autonomous vehicles (AVs). These techniques involve simulating traffic scenarios and generating perturbed trajectories to improve AV control systems, ultimately enhancing safety and effectiveness through rigorous testing.

Career Highlights

Throughout his career, Mengye Ren has made significant strides in the intersection of technology and transportation. He has held positions at several notable companies, including UATC, LLC and Aurora Operations, Inc. His work focuses on pioneering methods that leverage machine learning to improve automated systems, particularly in vehicular environments.

Collaborations

Mengye Ren has collaborated with prominent professionals in the field, including Raquel Urtasun and Bin Yang. These partnerships reflect a commitment to advancing the frontiers of technology through shared expertise and innovation.

Conclusion

Mengye Ren's dedication to the field of machine learning and autonomous technology is evident in his impressive patent portfolio and strategic collaborations. As he continues to innovate, his work promises to shape the future of intelligent systems and redefine the standards of safety and efficiency in transportation.

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