College Station, TX, United States of America

Xiao Huang


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Inventor Spotlight: Xiao Huang

Introduction

Xiao Huang is an innovative inventor based in College Station, Texas, known for his contributions to the field of knowledge graph embeddings. His research focuses on enhancing question-answering systems through advanced frameworks that leverage the intricacies of knowledge representation.

Latest Patents

Xiao Huang holds a patent for his groundbreaking work titled "Knowledge-graph-embedding-based question answering." This patent introduces embodiments for effectively answering questions using a Knowledge Embedding based Question Answering (KEQA) framework. The framework aims to recover a question's head entity, predicate, and tail entity representations without directly inferring these aspects, utilizing a joint distance metric to measure the proximity of a predicated fact to all potential candidates. The effectiveness of this system has been validated through performance evaluations on various datasets, showcasing its superiority in question answering tasks.

Career Highlights

Xiao Huang is affiliated with Baidu USA LLC, where he utilizes his expertise in knowledge graph technologies. His work not only contributes to the company's innovative projects but also positions him as a leader in the field of artificial intelligence and data retrieval.

Collaborations

Throughout his career, Xiao has had the privilege of collaborating with talented individuals such as Jingyuan Zhang and Dingcheng Li. These collaborations have enriched his work, enabling the integration of diverse ideas and perspectives to enhance the development of advanced technologies.

Conclusion

Xiao Huang's contributions to the field of knowledge graph embeddings and question-answering systems reflect the significant impact of innovative thought in technology. As an inventor with a patent in this specialized area, he continues to pave the way for future advancements in artificial intelligence and knowledge representation.

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