Jiabin Geng

Title: Jiabin Geng - Innovator in Data Question Answering Technologies

Introduction

Jiabin Geng is an accomplished inventor based in Lehi, UT (US). He has made significant contributions to the field of data question answering, particularly through his innovative techniques that enhance the efficiency of querying data sets. His work is instrumental in bridging the gap between natural language inputs and machine learning models.

Latest Patents

Jiabin Geng holds a patent titled "Data question answering with auxiliary recommendations." This patent describes techniques for efficiently querying data sets to obtain answers to data questions based on natural language input. The processing device involved in this innovation is designed to receive a natural language query, determine an additional query based on the context, and utilize a machine-learning model to generate results. The outcomes include a quantitative answer, an additional answer based on the auxiliary query, and an explanation of how the machine-learning model arrived at these answers. This technology is poised to enhance user interaction with data through intuitive interfaces.

Career Highlights

Jiabin Geng is currently employed at Adobe, Inc., where he continues to develop and refine his innovative ideas. His work at Adobe allows him to collaborate with other talented professionals in the tech industry, contributing to advancements in data processing and machine learning.

Collaborations

Some of Jiabin Geng's notable coworkers include Iftikhar Ahamath Burhanuddin and Xiang Chen. Their collaborative efforts in the field of data technologies have further propelled the development of innovative solutions.

Conclusion

Jiabin Geng's contributions to data question answering technologies exemplify the impact of innovation in the tech industry. His patent and ongoing work at Adobe, Inc. highlight the importance of integrating natural language processing with machine learning to enhance user experience.