Mountain View, CA, United States of America

Yujing Qian

USPTO Granted Patents = 3 

Average Co-Inventor Count = 3.4

ph-index = 1


Company Filing History:


Years Active: 2023-2025

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3 patents (USPTO):

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 3 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.

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