Beijing, China

Hui Xiong

USPTO Granted Patents = 27 

Average Co-Inventor Count = 3.3

ph-index = 1

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2011-2025

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27 patents (USPTO):

Title: Hui Xiong: Innovator in Recommendation Systems

Introduction: Hui Xiong is a prominent inventor based in Beijing, China, known for his significant contributions to the field of artificial intelligence and deep learning. With an impressive portfolio of 26 patents, his work focuses on advancing recommendation systems that cater to various technological needs and enhance user experiences.

Latest Patents: Among Hui Xiong's most recent patents are several innovative methods and apparatuses related to generating recommendation models. One of his key patents outlines a comprehensive approach to creating a recommendation model utilizing a graph training sample set inputted into a machine learning model. This process incorporates a low-rank graph convolutional network that optimizes data handling through complete weight matrices and specific training objectives. Another notable patent introduces a method for recommending stations for vehicles, which involves using pre-trained recommendation models to determine the best match for vehicle access requests and guide them accordingly.

Career Highlights: Hui Xiong has amassed a wealth of experience throughout his career, particularly through his tenure at Beijing Baidu Netcom Science and Technology Co., Ltd. and Baidu Online Network Technology (Beijing) Co., Ltd. His expertise in AI-driven solutions has made him a pivotal figure in these organizations, where he has played a crucial role in developing cutting-edge technologies.

Collaborations: Throughout his career, Hui has collaborated with fellow innovators, including Jianguo Duan and Yanyan Li. These partnerships have enabled him to leverage diverse insights and expertise, ultimately enriching his research and development efforts in the field.

Conclusion: Hui Xiong stands out as a leading inventor in the area of artificial intelligence and recommendation systems. With a rich patent portfolio and a history of impactful collaborations, he continues to push the boundaries of innovation, paving the way for the advancement of technology that is increasingly tailored to user needs.

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