Xian, China

Jun Qi Zhang

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: International Business Machines Corporation. Active years: 2020-2026.

USPTO Granted Patents = 2 

% Patents Active = 50.0

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020-2026

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2 patents (USPTO):Explore Patents

Title: Innovations by Jun Qi Zhang

Introduction

Jun Qi Zhang is a notable inventor based in Xi'an, China. He has made significant contributions to the field of decision tree optimization. His work focuses on enhancing the efficiency and accuracy of decision-making processes through innovative methodologies.

Latest Patents

One of Jun Qi Zhang's key patents is titled "Optimizing tree pruning for decision trees." This patent describes a system and method that includes splitting a first dataset into a training dataset and a testing dataset. It involves growing the training dataset into a first decision tree and sampling the training dataset by creating a plurality of sampling datasets. The process also includes pruning the first decision tree using these sampling datasets, creating multiple models, and verifying the accuracy of each model using the testing dataset. This patent showcases his expertise in machine learning and data analysis, and he holds 1 patent.

Career Highlights

Jun Qi Zhang is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies and contribute to advancements in artificial intelligence and data science.

Collaborations

Some of his notable coworkers include Jing James Xu and Xing Wei. Their collaboration fosters a creative environment that encourages innovation and the development of new technologies.

Conclusion

Jun Qi Zhang's contributions to the field of decision tree optimization exemplify the impact of innovative thinking in technology. His work continues to influence advancements in machine learning and data analysis.

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