Beijing, China

Xiaomin Fang

USPTO Granted Patents = 4 

Average Co-Inventor Count = 4.8

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2025

where 'Filed Patents' based on already Granted Patents

4 patents (USPTO):

Title: The Innovations of Xiaomin Fang: A Pioneer in Deep Learning Technologies

Introduction

Xiaomin Fang is a notable inventor based in Beijing, China, who has made significant contributions to the field of deep learning technologies. With a total of four patents to his name, Fang has pioneered innovative methods and apparatuses that enhance optimization techniques in machine learning and artificial intelligence applications.

Latest Patents

Among his latest patents, one is titled "Optimizer Learning Method and Apparatus, Electronic Device and Readable Storage Medium." This invention presents a novel approach to optimizer learning by utilizing training data that includes neural network attribute information, optimizer information, and parameters. The method enables the adaptation of optimizers to enhance their generalization capability, thereby improving performance in various deep learning applications.

Another notable patent is the "Method and Apparatus for Optimizing Recommendation System, Device and Computer Storage Medium." This invention provides a framework for optimizing recommendation systems using reinforcement learning to maximize user behavioral revenue. By treating the recommendation system as an agent within a defined environment, Fang's method effectively addresses the challenges faced in enhancing user experiences in intelligent search and recommendation scenarios.

Career Highlights

Xiaomin Fang has contributed his expertise to prominent companies in the tech industry, including Baidu Netcom Science and Technology and Baidu Online Network Technology. His work at these companies has allowed him to apply his innovative ideas and methodologies in real-world applications, significantly advancing the fields of artificial intelligence and machine learning.

Collaborations

Fang has had the pleasure of collaborating with talented individuals in his field, including colleagues Fan Wang and Jingzhou He. These collaborations have fostered a creative environment that cultivates new ideas and technologies to push the boundaries of what is possible in deep learning.

Conclusion

Xiaomin Fang continues to be a driving force in the evolution of deep learning technologies. His dedication to innovation and his impressive patent portfolio are testaments to his significant contributions. As the field progresses, his inventions will undoubtedly play a crucial role in shaping the future of machine learning and artificial intelligence.

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