Company Filing History:
Years Active: 2023-2025
Title: Yuliang Li: Innovator in Data Querying and Text Classification
Introduction
Yuliang Li is a prominent inventor based in Cupertino, California, known for his contributions to data querying and text classification technologies. With a total of four patents to his name, Li has made significant strides in the field of computer science, particularly in the areas of machine learning and data management.
Latest Patents
Li's latest patents include "Systems and methods for querying large data repositories" and "Systems and methods for semi-supervised extraction of text classification information." The first patent focuses on innovative systems and methods for performing dataset discovery. It involves accessing a data repository with multiple tables, generating serialized sequences of cell values, and utilizing a natural language model to convert these sequences into contextualized embeddings. This process allows for efficient querying of candidate tables that can be unionable with a received query table. The second patent addresses the extraction of classification information from input text. It outlines techniques for obtaining input text, identifying tokens, and employing a machine learning model to evaluate sentiments and aggregate them based on attribute classifiers.
Career Highlights
Yuliang Li is currently employed at Recruit Co., Ltd., where he continues to develop cutting-edge technologies that enhance data processing and analysis. His work has positioned him as a key figure in the tech industry, contributing to advancements that streamline data management processes.
Collaborations
Li has collaborated with notable colleagues, including Xiaolan Wang and Wang-Chiew Tan, who share his passion for innovation and technology. Their combined expertise has led to the development of impactful solutions in their respective fields.
Conclusion
Yuliang Li's innovative work in data querying and text classification exemplifies the importance of technological advancements in today's data-driven world. His contributions continue to influence the landscape of computer science and machine learning.
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