Beijing, China

Dong Zhuang

USPTO Granted Patents = 2 

Average Co-Inventor Count = 6.2

ph-index = 2

Forward Citations = 37(Granted Patents)


Company Filing History:


Years Active: 2010-2013

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2 patents (USPTO):

Title: Innovations of Dong Zhuang

Introduction

Dong Zhuang is a notable inventor based in Beijing, China. He has made significant contributions to the field of technology, particularly in social network analysis and machine learning. With a total of two patents to his name, Zhuang's work focuses on enhancing the efficiency of data classification and influencer identification in social networks.

Latest Patents

Zhuang's latest patents include a system and method for identifying influential persons in a social network. This innovative approach generates a set of influencers to ensure that messages sent through the network achieve maximum speed and coverage. The process involves ranking users and systematically identifying influencers while pruning the user list to optimize message propagation.

Another significant patent is related to text classification using a weighted proximal support vector machine (WPSVM). This invention addresses the challenges posed by unbalanced data in traditional support vector machine models. By incorporating weights for training errors and utilizing an iterative algorithm, Zhuang's WPSVM model maintains high accuracy while reducing computational time, making it suitable for high-dimensional data classification.

Career Highlights

Dong Zhuang is currently associated with Microsoft Technology Licensing, LLC, where he continues to innovate and contribute to advancements in technology. His work has implications for various applications, including social media analytics and machine learning.

Collaborations

Zhuang has collaborated with notable colleagues such as Benyu Zhang and Hua-Jun Zeng, further enhancing the impact of his research and inventions.

Conclusion

Dong Zhuang's contributions to technology through his patents reflect his innovative spirit and dedication to improving data analysis methods. His work continues to influence the fields of social networking and machine learning, showcasing the importance of innovation in today's digital landscape.

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