Somerville, MA, United States of America

Kai Li


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Location History:

  • San Jose, CA (US) (2023)
  • Somerville, MA (US) (2021 - 2024)

Company Filing History:


Years Active: 2021-2025

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6 patents (USPTO):

Title: Innovations by Inventor Kai Li

Introduction

Kai Li, an innovative inventor located in Somerville, MA, has made significant contributions to the field of machine learning. With five patents to his name, he has developed advanced technologies that enhance the performance of machine learning models, particularly in adapting to new data domains.

Latest Patents

One of Kai Li's latest patents focuses on domain adaptation for machine learning models. This innovation describes a method for adapting a machine learning model to process data that differs from the training data used for its initial configuration. The system generates a feature representation for the new data, analyzes it, and compares it against ground truth information to refine model parameters, ultimately producing a domain-agnostic model.

Another notable patent addresses domain alignment for object detection tasks. It introduces a domain alignment technique that involves pretraining an object detection model using a source dataset before adapting it to a target dataset. This process employs various domain alignment modules to enhance detection accuracy across different domains.

Career Highlights

Kai Li's professional journey includes working for well-known companies such as Adobe, Inc. and NEC Corporation, where he has contributed to cutting-edge advancements in technology. His expertise in machine learning and artificial intelligence has positioned him as a key player in the invention landscape.

Collaborations

During his career, Kai Li has collaborated with talented individuals, including Christopher Alan Tensmeyer and Curtis Michael Wigington. Their collective efforts have led to the development of innovative solutions that push the boundaries of what is possible in technology.

Conclusion

Kai Li's contributions to machine learning through his patents underscore his role as an influential inventor. His work in domain adaptation and object detection not only advances technological capabilities but also enriches the broader field of artificial intelligence. As he continues to innovate, the impact of his inventions will surely resonate throughout the tech industry.

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