Bristol, United Kingdom

Kai Han


Average Co-Inventor Count = 2.7

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):Explore Patents

Title: Innovations of Inventor Kai Han

Introduction

Kai Han is a notable inventor based in Bristol, GB, recognized for his contributions to the field of machine learning and deep learning technologies. He holds two patents that showcase his innovative approach to joint representation learning and category discovery.

Latest Patents

His latest patents include "Flexible framework for joint representation learning" and "Unknown category discovery." The first patent describes systems and methods for providing deep learning models capable of performing joint representation learning and new category discovery on a mixture of labeled and unlabeled data. This flexible end-to-end framework utilizes unified contrastive learning based on both instance discrimination and category discrimination. It also employs Winner-Take-All hashing to generate pseudo-labels based on the similarity between unlabeled data points, facilitating the training of models to generate clustering assignments. The second patent focuses on methods, systems, and apparatus for novel category discovery, involving the generation of local feature tensors and similarity tensors to enhance class predictions through neural networks.

Career Highlights

Kai Han is currently employed at Google Inc., where he continues to develop cutting-edge technologies in machine learning. His work has significantly impacted the way deep learning models are trained and utilized in various applications.

Collaborations

He collaborates with talented coworkers, including Xuhui Jia and Yukun Zhu, contributing to a dynamic and innovative work environment.

Conclusion

Kai Han's contributions to the field of machine learning through his patents and work at Google Inc. highlight his role as a leading inventor in the technology sector. His innovative approaches are paving the way for advancements in deep learning and category discovery.

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