Beijing, China

Jilong Xue

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2026.

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Jilong Xue: Innovator in Neural Network Compilation

Introduction

Jilong Xue is a prominent inventor based in Beijing, China. He has made significant contributions to the field of neural networks, particularly in the area of tensor operators. His innovative work has led to the development of a patent that enhances the efficiency of neural network models.

Latest Patents

Jilong Xue holds a patent titled "Compiling tensor operators for neural network models based on tensor tile configurations." This patent describes systems and methods for compiling tensor operators tailored for neural network models. The process involves receiving a tensor expression for a neural network model and determining a tensor tile configuration based on hardware specifications. Subsequently, a set of code is generated for executing the tensor expression on the specified hardware.

Career Highlights

Jilong Xue is currently employed at Microsoft Technology Licensing, LLC, where he continues to push the boundaries of technology. His work focuses on optimizing neural network performance through innovative compilation techniques. His expertise in this area has positioned him as a valuable asset in the tech industry.

Collaborations

Jilong collaborates with talented individuals such as Lingxiao Ma and Yuqing Xia. Together, they work on advancing the capabilities of neural networks and exploring new methodologies in the field.

Conclusion

Jilong Xue's contributions to neural network technology through his patent and work at Microsoft Technology Licensing, LLC highlight his role as an influential inventor. His innovative approaches are paving the way for future advancements in artificial intelligence and machine learning.

Profile summary based on public USPTO records.
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