San Jose, CA, United States of America

Ting Hua

This inventor holds 1 USPTO granted patent. Top assignee: Samsung Electronics Co., Ltd.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ting Hua. Retrieved from https://idiyas.com/inventor/ting-hua-2swh3zdl

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Ting Hua in Continual Learning

Introduction

Ting Hua is an accomplished inventor based in San Jose, California. He has made significant contributions to the field of continual learning, showcasing his expertise through his innovative patent. His work is particularly relevant in the context of machine learning and artificial intelligence.

Latest Patents

Ting Hua holds a patent titled "Systems and methods for continual learning." This patent describes a continual learning method that involves obtaining input data, including a trained model, continual learning information, and training data through an electronic device. The method includes re-training the model for a specific task based on the training data. Additionally, it involves updating the continual learning information based on the model and training data. The method also selects a first set of exemplars from the training data based on data associated with the continual learning information.

Career Highlights

Ting Hua is currently employed at Samsung Electronics Co., Ltd., where he continues to push the boundaries of technology. His work in continual learning is paving the way for advancements in how machines learn and adapt over time.

Collaborations

Ting has collaborated with notable colleagues, including Yilin Shen and Changsheng Zhao, who contribute to the innovative environment at Samsung Electronics.

Conclusion

Ting Hua's contributions to the field of continual learning exemplify the innovative spirit of modern technology. His patent reflects a deep understanding of machine learning principles and their practical applications.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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