San Mateo, CA, United States of America

Lingjie Xu

USPTO Granted Patents = 5 

Average Co-Inventor Count = 3.2

ph-index = 1

Forward Citations = 10(Granted Patents)


Location History:

  • San Jose, CA (US) (2018 - 2022)
  • San Mateo, CA (US) (2022 - 2023)

Company Filing History:


Years Active: 2018-2023

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5 patents (USPTO):

Title: Innovations of Inventor Lingjie Xu

Introduction

Lingjie Xu is a prominent inventor based in San Mateo, CA, known for his contributions to neural network computing systems. He holds a total of 5 patents, showcasing his expertise in optimizing resource utilization and power management in machine learning applications.

Latest Patents

One of his latest patents focuses on maximizing resource utilization of neural network computing systems. This patent describes a method for allocating resources of an accelerator to multiple neural networks for execution. The method involves analyzing workloads and evaluating computational resources to effectively schedule tasks across different networks. Another significant patent addresses power management based on synthetic machine learning benchmarks. This innovation includes generating records of benchmarks and selecting appropriate models based on hardware information to optimize work schedules.

Career Highlights

Lingjie Xu has worked with notable companies such as Alibaba Group Holding Limited and Samsung Electronics Co., Ltd. His experience in these leading technology firms has significantly contributed to his innovative capabilities and understanding of advanced computing systems.

Collaborations

Throughout his career, Lingjie has collaborated with talented individuals, including Wei Wei and Boris Beylin. These partnerships have fostered a creative environment that has led to groundbreaking advancements in his field.

Conclusion

Lingjie Xu's work in neural network computing and power management reflects his commitment to innovation and excellence. His patents not only enhance the efficiency of machine learning systems but also pave the way for future advancements in technology.

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