Seattle, WA, United States of America

Dong He


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2025

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Innovations by Dong He in Query Processing

Introduction

Dong He is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of query processing, particularly in the context of deep neural networks. His innovative approach has led to the development of a unique patent that enhances the efficiency of query execution in neural network runtimes.

Latest Patents

Dong He holds a patent titled "Method and system for query processing over tensor runtimes." This patent encompasses techniques for query processing over deep neural network runtimes. The methods include receiving a query with one or more query operators and determining a query representation based on these operators. Furthermore, the techniques involve determining a neural network program based on the query representation, which includes one or more neural network operators for executing the query in a neural network runtime. The process also generates a neural network data structure based on a dataset associated with the query and executes the neural network program in the neural network runtime to produce a query result. He has 1 patent to his name.

Career Highlights

Dong He is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and contribute to advancements in technology. His work focuses on enhancing the capabilities of neural networks and improving query processing methodologies.

Collaborations

Dong He collaborates with various professionals in his field, including his coworker Konstantinos Karanasos. Their combined expertise fosters an environment of innovation and creativity, leading to groundbreaking advancements in technology.

Conclusion

Dong He's contributions to query processing and neural networks exemplify the spirit of innovation in technology. His patent reflects a significant advancement in the field, showcasing his dedication to improving computational efficiency.

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