Shoreline, WA, United States of America

Xu Deng

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Amazon Technologies, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xu Deng. Retrieved from https://idiyas.com/inventor/xu-deng-ddsszqc9

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Xu Deng - Innovator in Machine Learning Routing

Introduction

Xu Deng is a prominent inventor based in Shoreline, WA (US). He has made significant contributions to the field of machine learning, particularly in the area of network routing for heterogeneous models. His innovative approach has the potential to enhance the efficiency of machine learning applications.

Latest Patents

Xu Deng holds a patent titled "Load aware routing for heterogeneous machine learning models access via a common network endpoint." This patent focuses on performing load-aware routing for requests directed to managed network endpoints that invoke specific machine learning models. The process involves evaluating the workloads of different hosts for respective replicas of the machine learning model to select the most suitable host for processing the request. He has 1 patent to his name.

Career Highlights

Xu Deng is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in the realm of machine learning. His work is instrumental in advancing the capabilities of networked machine learning systems.

Collaborations

Some of his notable coworkers include Rajendra Kumar Vippagunta and Aaron Keller, who contribute to the collaborative environment at Amazon Technologies, Inc.

Conclusion

Xu Deng's contributions to machine learning routing exemplify the innovative spirit that drives technological advancement. His work not only enhances the efficiency of machine learning models but also sets a foundation for future developments in the field.

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…