Jersey City, NJ, United States of America

Quan Geng

USPTO Granted Patents = 2 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):

Title: Innovations of Quan Geng

Introduction

Quan Geng is an accomplished inventor based in Jersey City, NJ (US). He has made significant contributions to the field of quantization, particularly through his innovative approaches to database management. With a total of 2 patents, Geng's work is recognized for its potential to enhance data processing efficiency.

Latest Patents

Geng's latest patents focus on "Systems and methods for weighted quantization." These patents introduce a novel loss or quantization error function that applies a weight to the error measurement of quantized elements corresponding to the datapoints in a database. The weight is determined based on the magnitude of an inner product between the respective datapoints and a query. This innovative approach contrasts with traditional methods by prioritizing error reduction for higher-ranked pairings of the query and the datapoints. Geng's systems and methods address some of the limitations of conventional quantization approaches, which treat all errors as equally impactful.

Career Highlights

Quan Geng is currently employed at Google Inc., where he continues to develop and refine his innovative ideas. His work at Google has allowed him to explore advanced techniques in data quantization and contribute to the company's technological advancements.

Collaborations

Geng collaborates with talented individuals such as Ruiqi Guo and David Morris Simcha. These partnerships enhance the creative process and lead to groundbreaking innovations in their respective fields.

Conclusion

In summary, Quan Geng is a notable inventor whose work in weighted quantization has the potential to revolutionize data processing. His contributions at Google Inc. and collaborations with other professionals underscore his commitment to innovation and excellence in technology.

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