Shenzhen, China

Zhinan Chen

USPTO Granted Patents = 2 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2023

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2 patents (USPTO):Explore Patents

Title: The Innovations of Zhinan Chen

Introduction: Zhinan Chen is an accomplished inventor based in Shenzhen, China, recognized for his contributions to the field of data classification and food risk traceability. With two patents to his name, he has demonstrated innovative solutions that leverage artificial intelligence and machine learning to address modern challenges in information processing and classification.

Latest Patents: Chen's latest patents include the "Unbalanced Sample Classification Method and Apparatus" and the "Method and Device for Food Risk Traceability Information Classification, and Computer Readable Storage Medium." The first patent introduces a method for handling unbalanced sample data by determining a sample contribution rate in order to filter out data not meeting a preset threshold. This innovative approach aims to enhance the efficiency of classification algorithms by eliminating less relevant data. The second patent focuses on developing deep learning neural networks for classifying food risk traceability information, emphasizing the self-learning capacity of artificial intelligence to improve classification outcomes through optimized loss functions.

Career Highlights: Zhinan Chen has worked for reputable institutions such as the Shenzhen Academy of Inspection and Quarantine and the Shenzhen Customs Information Center. His experience in these organizations has provided him with valuable insights into the intricacies of data handling and classification.

Collaborations: Throughout his career, Chen has collaborated with talented professionals, including Yina Cai and Xianyu Bao. These partnerships have contributed to enriching the innovative environment surrounding his work and enhancing the development of his groundbreaking technologies.

Conclusion: Zhinan Chen's contributions to the fields of sample classification and food risk traceability reflect a significant advancement in the application of machine learning and artificial intelligence. His innovative patents showcase his commitment to improving data processing techniques, positioning him as a key figure in the realm of modern technology and innovation.

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