This inventor holds 4 USPTO granted patents and 1 published patent application. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Chenglong Wang - Innovator in Data Health Evaluation
Introduction
Chenglong Wang is a prominent inventor based in Bellevue, WA (US). He has made significant contributions to the field of data health evaluation through his innovative patent. His work focuses on leveraging generative language models to identify data health issues, which is crucial in today's data-driven world.
Latest Patents
Chenglong Wang holds a patent titled "Data health evaluation using generative language models." This patent discloses concepts that relate to utilizing a language model to identify data health issues within a data set. The method involves accessing a data set and using an automated evaluation planning agent to input a prompt that generates a data evaluation plan for the data set. The prompt includes context describing the data set. The method also entails receiving the data evaluation plan generated by the generative language model and identifying one or more data health issues in the data set by executing the data evaluation plan with an automated evaluation plan execution agent. He has 1 patent to his name.
Career Highlights
Chenglong Wang is currently associated with Microsoft Technology Licensing, LLC, where he applies his expertise in data evaluation and health assessment. His innovative approach has positioned him as a valuable asset in the technology sector.
Collaborations
Chenglong has collaborated with notable colleagues, including Victor Chukwuma Dibia and Bongshin Lee. Their combined efforts contribute to advancing the field of data health evaluation.
Conclusion
Chenglong Wang's work in data health evaluation using generative language models showcases his innovative spirit and dedication to improving data integrity. His contributions are essential in addressing the challenges posed by data health issues in various applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
