Meihui Zhang

Title: Meihui Zhang: Innovator in Semantic Matching Technologies

Introduction

Meihui Zhang is a notable inventor based in Singapore, recognized for her contributions to the field of semantic matching and automated annotation. With a focus on enhancing the accuracy and efficiency of data processing, her work has significant implications for various applications in technology and data management.

Latest Patents

Meihui Zhang holds 1 patent for her invention titled "Semantic matching and annotation of attributes." This innovative patent introduces techniques and constructs that facilitate semantic matching and automated annotation (SMA) of attributes. The system takes entity names and a keyword describing an attribute associated with the named entities as input. It leverages a corpus of data, such as HTML web tables, to automatically populate values associated with the named entities for the attribute. The constructs enable accurate SMA of attributes, including those that relate to the entity and involve numeric values in different units or scales than the query, as well as reflecting a time different from that of the query.

Career Highlights

Meihui Zhang is currently employed at Microsoft Technology Licensing, LLC, where she continues to develop innovative solutions in the realm of data processing and semantic technologies. Her work at Microsoft has allowed her to collaborate with leading experts in the field and contribute to cutting-edge projects that push the boundaries of technology.

Collaborations

One of her notable coworkers is Kaushik Chakrabarti, who works alongside her at Microsoft. Their collaboration exemplifies the synergy of talent and expertise in driving forward innovative solutions in technology.

Conclusion

Meihui Zhang's contributions to semantic matching technologies highlight her role as a significant inventor in the tech industry. Her innovative patent and ongoing work at Microsoft Technology Licensing, LLC, demonstrate her commitment to advancing the field of data processing.