Beijing, China

Yang Gu

USPTO Granted Patents = 1 

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):

Title: Innovator Yang Gu: Pioneering Machine Learning Adaptation

Introduction: Yang Gu, an innovative inventor based in Beijing, China, has made significant strides in the realm of artificial intelligence. With a focus on enhancing machine learning systems, he has developed a patented technology that facilitates domain adaptation between various source domains and target domains. His work emphasizes intelligent processing and classification, showcasing the potential of AI in diverse applications.

Latest Patents: Yang Gu holds one patent titled "Machine learning systems and methods with source-target adaptation." This invention presents a unique approach to the challenge of domain adaptation. It involves receiving labeled data from multiple source domains and unlabeled data from a target domain. The invention outlines a method where processors train source classifiers for each source domain using the labeled data, select subsets of this data based on similarities to the target domain, refine the classifiers, and predict labels for the unlabeled data. This methodology enhances the accuracy and efficiency of machine learning systems.

Career Highlights: Yang Gu is currently employed at Beijing Didi Infinity Technology and Development Co., Ltd., a company that is at the forefront of technological advancement in transport and mobility solutions. His role primarily focuses on leveraging artificial intelligence to solve complex problems in the transportation sector. With his patent, Yang is recognized as a key contributor to the advancement of machine learning techniques.

Collaborations: Throughout his career, Yang Gu has worked alongside notable colleagues such as Pengfei Xu and Sicheng Zhao. These collaborations have been instrumental in refining his innovative approaches and fostering a shared environment of creativity and technological advancement. Working as a part of a dynamic team, Yang has been able to push the boundaries of what is possible in machine learning and artificial intelligence.

Conclusion: Yang Gu exemplifies the spirit of innovation in the field of artificial intelligence, particularly through his work on machine learning systems. His patent not only reflects his expertise but also holds potential implications for various industries seeking to implement advanced AI solutions. As he continues to develop technologies within Beijing Didi Infinity Technology and Development Co., Ltd., Yang is poised to make further impactful contributions to the world of innovation.

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