Zhejiang, China

Chunjie Zhu

This inventor holds 1 USPTO granted patent. Top assignee: Zhejiang Lab. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chunjie Zhu. Retrieved from https://idiyas.com/inventor/chunjie-zhu

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Chunjie Zhu: Innovator in Deep Learning Technologies

Introduction

Chunjie Zhu is a prominent inventor based in Zhejiang, China. He has made significant contributions to the field of deep learning, particularly through his innovative patent that addresses data caching methods for concurrent training tasks. His work is essential in enhancing the efficiency of deep learning processes.

Latest Patents

Chunjie Zhu holds a patent titled "Data caching method and apparatus for multiple concurrent deep learning training tasks." This patent outlines a method that includes executing preheating training for each task, collecting feature parameters of training batch samples, and sorting all tasks based on these parameters. The method also involves calculating the sample number of each training batch hit in a cache and executing deep learning training using a dynamic allocation strategy. This innovative approach optimizes resource usage during the training process.

Career Highlights

Chunjie Zhu is associated with Zhejiang Lab, where he continues to push the boundaries of technology in deep learning. His expertise and innovative mindset have positioned him as a key player in the research and development of advanced machine learning techniques.

Collaborations

Chunjie collaborates with talented individuals such as Fang Zhou and Zhihang Tang. Their combined efforts contribute to the advancement of deep learning technologies and the successful implementation of innovative solutions.

Conclusion

Chunjie Zhu's contributions to deep learning through his patent and work at Zhejiang Lab highlight his role as an influential inventor in the technology sector. His innovative methods are paving the way for more efficient training processes in machine learning.

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]
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