logo

For the Inventor, By the Inventor

Toronto, Canada

Mengye Ren

This inventor holds 18 USPTO granted patents and 9 published patent applications, primarily in Autonomous Vehicles. Top assignees: Uatc, LLC, Aurora Operations, Inc.. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mengye Ren. Retrieved from https://idiyas.com/inventor/mengye-ren

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

Calculating rank
USPTO Granted Patents = 18 

% Patents Active = 83.3

Average Co-Inventor Count = 5.4

ph-index = 4

Forward Citations = 23(Granted Patents)


Company Filing History:

goldMedal10 out of 473 
 
Uatc, LLC
 patents
silverMedal8 out of 349 
 
Aurora Operations, Inc.
 patents

Years Active: 2021-2026

Loading Chart...
Areas of Expertise:
Vehicle Pose Error
Trajectory Planning
Traffic Scene Simulation
Motion Forecasting
Attention Masks
Sparse Convolutional Neural Networks
Adversarial Loss Functions
Object Detection
Semantic Representations
Machine-Learned Models
Testing Data Generation
Intermediate Representations
18 patents (USPTO):Explore Patents
1. 12726799 - Systems and methods for mitigating vehicle pose error across an aggregated feature map (2026-09-01),
2. 12626589 - Systems and methods for simulating traffic scenes (2026-05-12),
3. 12625495 - Jointly learnable behavior and trajectory planning for autonomous vehicles (2026-05-12),
4. 12282328 - Systems and methods for using attention masks to improve motion planning (2025-04-21),
5. 12223734 - Systems and methods for training machine-learned models with deviating intermediate representations (2025-02-11),
6. 12214801 - Generating autonomous vehicle testing data through perturbations and adversarial loss functions (2025-02-04),
7. 12210344 - Sparse convolutional neural networks (2025-01-28),
8. 12127085 - Systems and methods for mitigating vehicle pose error across an aggregated feature map (2024-10-22),
9. 11860629 - Sparse convolutional neural networks (2024-01-02),
10. 11834069 - Systems and methods for selecting trajectories based on interpretable semantic representations (2023-12-05),
11. 11780472 - Systems and methods for generating motion forecast data for a plurality of actors with respect to an autonomous vehicle (2023-10-10),
12. 11769058 - Systems and methods for identifying unknown instances (2023-09-26),
13. 11755014 - Jointly learnable behavior and trajectory planning for autonomous vehicles (2023-09-12),
14. 11691650 - Systems and methods for generating motion forecast data for a plurality of actors with respect to an autonomous vehicle (2023-07-04),
15. 11686848 - Systems and methods for training object detection models using adversarial examples (2023-06-27),

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.

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]
Loading…