Santa Clara, CA, United States of America

Xingyu Zhou

USPTO Granted Patents = 2 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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2 patents (USPTO):Explore Patents

Title: Innovations by Xingyu Zhou

Introduction

Xingyu Zhou is an accomplished inventor based in Santa Clara, CA, known for his contributions to the fields of machine learning and electric vehicle technology. With a total of two patents to his name, Zhou has made significant strides in optimizing deep learning models and enhancing traction control systems for electric vehicles.

Latest Patents

Zhou's latest patents include an analytical model to optimize deep learning models and a fuzzy logic-based traction control system for electric vehicles. The first patent describes techniques for optimizing and deploying deep neural network (CNN) machine learning models for inference using static analysis. This method involves obtaining a deep neural network (DNN) machine learning model, generating an intermediate representation, and identifying an optimized schedule for at least one operator using a hardware-specific cost model. The result is an optimized intermediate representation that is tailored for execution on a specific hardware platform.

The second patent focuses on fuzzy-logic based traction control for electric vehicles. This system detects the wheel slip ratio for each wheel and receives an input torque command. It determines a slip error for each wheel based on the wheel slip ratio and a target wheel slip ratio. Using fuzzy-logic based control selection techniques, the system selects a traction control method and generates a compensation torque value for each wheel, which is then used to actuate the vehicle's drive units.

Career Highlights

Zhou has worked with notable companies such as Chongqing Jinkang Powertrain New Energy Co., Ltd. and Amazon Technologies, Inc. His experience in these organizations has contributed to his expertise in innovative technologies and solutions.

Collaborations

Zhou has collaborated with talented individuals in his field, including Junzhe Shi and Min Tian. These partnerships have likely fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Xingyu Zhou's work exemplifies the spirit of innovation in the realms of machine learning and electric vehicle technology. His patents reflect a commitment to advancing these fields and improving the efficiency and performance of modern technologies.

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