This inventor holds 6 USPTO granted patents and 1 published patent application. Top assignees: Deere & Company, Mineral Earth Sciences LLC. Active years: 2023-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023-2026
Title: Yujing Qian: Innovator in Agricultural Data and Machine Learning
Introduction
Yujing Qian is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the field of agricultural data processing and machine learning. With a total of 6 patents, his work focuses on enhancing the understanding and utilization of agricultural data through innovative techniques.
Latest Patents
Yujing Qian's latest patents include groundbreaking techniques for ingesting schema-less agricultural data for machine learning pipelines. These techniques enable the generation of relationship embeddings that indicate relationships between agricultural attributes and nodes in an agricultural knowledge graph. His implementations involve processing tables of agricultural data to create embedding space representations of various agricultural attributes. Additionally, he has developed methods for remote sensing interpretation, which utilize high-elevation images to generate remote sensing embeddings that indicate terrain features. This work also includes inferring natural-language descriptions of agricultural conditions based on data processed through machine learning models.
Career Highlights
Throughout his career, Yujing Qian has worked with prominent companies such as Deere & Company and Mineral Earth Sciences LLC. His experience in these organizations has allowed him to apply his innovative ideas in real-world applications, further advancing the field of agricultural technology.
Collaborations
Yujing has collaborated with talented individuals, including Hongxu Ma and Yuchi Ma. These partnerships have contributed to the development of his patents and the advancement of agricultural data processing techniques.
Conclusion
Yujing Qian's contributions to agricultural data and machine learning demonstrate his commitment to innovation in this vital field. His patents reflect a deep understanding of the complexities of agricultural data and its potential applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
