BEIJING, China

He Jun

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: He Jun. Retrieved from https://idiyas.com/inventor/he-jun-lrwiinmk

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

Loading Chart...
1 patent (USPTO):Explore Patents

Title: He Jun - Innovator in Neural Network Technology

Introduction

He Jun is a prominent inventor based in Beijing, China. He has made significant contributions to the field of technology, particularly in the area of neural networks. His innovative work has led to the development of a unique patent that addresses critical issues in computer systems.

Latest Patents

He Jun holds a patent for "Predicting a root cause of an alert using a recurrent neural network." This invention focuses on detecting error alerts from target computer systems. Upon detecting an error alert, performance data is retrieved from the system. A gated recurrent unit (GRU) neural network is then employed to predict the root cause of the error based on the performance data. The weights of the reset gate of the GRU neural network are adjusted according to the feedback received from the prediction. This innovative approach enhances the accuracy and efficiency of error detection in computer systems.

Career Highlights

He Jun is associated with the International Business Machines Corporation, commonly known as IBM. His role at IBM has allowed him to work on cutting-edge technologies and contribute to advancements in artificial intelligence and machine learning.

Collaborations

He Jun has collaborated with notable colleagues, including Chun Qi Ji and Qiang Li. Their combined expertise has fostered a productive environment for innovation and research.

Conclusion

He Jun's contributions to neural network technology exemplify the impact of innovative thinking in solving complex problems in computer systems. His patent reflects a significant advancement in the field, showcasing his dedication to improving technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…