Ziqiumin Wang

Title: Innovations of Ziqiumin Wang

Introduction

Ziqiumin Wang is a prominent inventor based in Shanghai, China. He has made significant contributions to the fields of natural language processing and video analysis. With a total of 3 patents, his work showcases the intersection of technology and innovative thinking.

Latest Patents

Ziqiumin Wang's latest patents include groundbreaking advancements in information extraction and image re-ordering using prompt learning and machine-reading comprehension. This patent focuses on generating semantic vectors to encode portions of text extracted from documents. It involves determining semantic similarity between schema keys and other text based on their positions within the document. An enhanced NLP model is created using these semantic vectors, which are labeled according to their semantic similarity. The model is then repurposed to perform next-sentence predictions, identifying logically related text portions.

Another notable patent is related to viewpoint analysis of video data. This innovation involves analyzing video data from multi-participant meetings. It identifies participant viewpoints, related arguments, and authority levels using a machine learning model. The technology correlates viewpoints to topics and determines the relationship between different participant perspectives based on their distances.

Career Highlights

Ziqiumin Wang is currently employed at International Business Machines Corporation (IBM), where he continues to push the boundaries of technology through his research and inventions. His work has garnered attention for its practical applications in various industries.

Collaborations

Ziqiumin has collaborated with notable colleagues, including Qing Lu and Wei Jun Zheng. Their combined expertise contributes to the innovative projects they undertake at IBM.

Conclusion

Ziqiumin Wang's contributions to technology through his patents and collaborative efforts highlight his role as a leading inventor in the field. His work not only advances the understanding of natural language processing and video analysis but also sets the stage for future innovations.