Palo Alto, CA, United States of America

Ruobing Wang

This inventor holds 1 USPTO granted patent. Top assignee: Sambanova Systems, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ruobing Wang. Retrieved from https://idiyas.com/inventor/ruobing-wang-4d7iwlfr

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Ruobing Wang: Innovator in Neural Network Optimization

Introduction

Ruobing Wang is a prominent inventor based in Palo Alto, CA. He has made significant contributions to the field of neural networks, particularly in optimizing tensor tiling. His innovative approach has the potential to enhance the efficiency of dataflow applications.

Latest Patents

Ruobing Wang holds 1 patent titled "Optimizing tensor tiling in neural networks based on a tiling cost model." This patent describes a method where a compiler analyzes a graph to determine a pipeline of operators based on shared dimensions of input and output tensors. The compiler makes tiling decisions that improve optimization objectives, ultimately enhancing the execution of applications on computing systems.

Career Highlights

Wang is currently employed at Sambanova Systems, Inc., where he continues to develop cutting-edge technologies in the realm of artificial intelligence and machine learning. His work focuses on improving the performance of neural networks through innovative optimization techniques.

Collaborations

One of his notable coworkers is Bowen Yang, with whom he collaborates on various projects aimed at advancing the capabilities of neural network applications.

Conclusion

Ruobing Wang's contributions to neural network optimization exemplify the impact of innovative thinking in technology. His work not only advances the field but also sets the stage for future developments in artificial intelligence.

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]
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