Beijing, China

Hanzhao Zhu

This inventor holds 1 USPTO granted patent. Top assignee: Cambricon Technologies Corporation Limited. Active years: 2025.

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

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 = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Hanzhao Zhu: Innovator in Artificial Intelligence Processing

Introduction

Hanzhao Zhu is a prominent inventor based in Beijing, China. He has made significant contributions to the field of artificial intelligence, particularly in the optimization of learning tasks for processors. His innovative approach has the potential to enhance the efficiency of AI applications.

Latest Patents

Hanzhao Zhu holds a patent for a "Learning task compiling method of artificial intelligence processor and related products." This patent focuses on a method that fuses a redundant neural network layer to a convolution layer. It optimizes the structure of convolutional neural networks and compiles learning tasks based on this optimized structure. The method aims to achieve high efficiency in learning task compilation for AI processors while reducing data exchange during processing.

Career Highlights

Hanzhao Zhu is currently employed at Cambricon Technologies Corporation Limited, a leading company in AI processor development. His work at Cambricon has positioned him as a key player in advancing AI technology. He has demonstrated a strong commitment to innovation and excellence in his field.

Collaborations

Hanzhao collaborates with talented colleagues, including Xiaofu Meng and Shaoli Liu. Their combined expertise contributes to the development of cutting-edge technologies in artificial intelligence.

Conclusion

Hanzhao Zhu's contributions to artificial intelligence processing exemplify the impact of innovative thinking in technology. His patent and work at Cambricon Technologies highlight the importance of optimizing AI systems for better performance.

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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