Beijing, China

Wenkui Ding

USPTO Granted Patents = 4 

Average Co-Inventor Count = 3.1

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2019-2022

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4 patents (USPTO):

Title: Wenkui Ding: Innovator in Multimedia Resource Recommendation

Introduction

Wenkui Ding is a prominent inventor based in Beijing, China, known for his contributions to the field of machine learning and multimedia technology. With a total of four patents to his name, he has made significant strides in developing methods and devices that enhance user experience in multimedia applications.

Latest Patents

Wenkui Ding's latest patents include a method, apparatus, electronic device, and storage medium for recommending multimedia resources. This innovation utilizes a convolutional neural network to acquire features of multimedia resources and determine user interest information. The process involves generating user preference data to recommend multimedia resources effectively. Another notable patent is a video rating method and device that automatically rates videos based on multiple modal features. This method improves the efficiency and accuracy of video ratings by converting ratings into a vector space for better prediction.

Career Highlights

Throughout his career, Wenkui Ding has worked with notable companies such as Hulu, LLC and Beijing Dajia Internet Information Technology Co., Ltd. His experience in these organizations has allowed him to refine his skills and contribute to cutting-edge technologies in multimedia and machine learning.

Collaborations

Wenkui Ding has collaborated with talented individuals in his field, including Bangsheng Tang and Yan Li. These partnerships have fostered innovation and the development of advanced technologies in multimedia resource management.

Conclusion

Wenkui Ding's work in multimedia resource recommendation and video rating showcases his expertise and commitment to advancing technology. His patents reflect a deep understanding of machine learning and its applications in enhancing user experiences.

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