Zhejiang, China

Xunzhao Yin

This inventor holds 4 USPTO granted patents and 5 published patent applications. Top assignee: Zhejiang University. Active years: 2022-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xunzhao Yin. Retrieved from https://idiyas.com/inventor/xunzhao-yin

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

USPTO Granted Patents = 4 

% Patents Active = 100.0

Average Co-Inventor Count = 3.2

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022-2025

Loading Chart...
4 patents (USPTO):Explore Patents

Title: Innovations of Xunzhao Yin

Introduction

Xunzhao Yin is a prominent inventor based in Zhejiang, China. He has made significant contributions to the field of technology, particularly in the development of advanced memory systems. With a total of four patents to his name, Yin's work showcases his innovative approach to solving complex problems in the realm of computing.

Latest Patents

One of Xunzhao Yin's latest patents is titled "Ultra-compact CAM array based on single MTJ and operating method thereof." This invention discloses an ultra-compact Content Addressable Memory (CAM) array that utilizes a single Magnetic Tunnel Junction (MTJ) and an innovative operating method. The CAM array features an M*N CAM core for content storage, additional reference rows and columns for storing binary values, and various components such as a row decoder and two-stage detection amplifiers. This design combines the benefits of MTJ and CMOS technology, achieving energy efficiency, reduced area overhead, and lower search delays compared to traditional CMOS-based CAMs.

Another notable patent is the "Neural network retraining method based on aging sensing of memristors." This method addresses the decline in accuracy of hardware online reasoning due to cross-array aging. By calculating the extreme values of programmable weights under current aging conditions, the neural network model is retrained to enhance accuracy. The retraining process involves truncating network weights that exceed these extreme values and utilizing the sparsity of derivatives to prolong the service life of memristors.

Career Highlights

Xunzhao Yin is affiliated with Zhejiang University, where he continues to engage in cutting-edge research and development. His work has garnered attention for its practical applications in improving memory systems and enhancing the performance of neural networks.

Collaborations

Yin collaborates with notable colleagues, including Cheng Zhuo and Qingrong Huang, contributing to a dynamic research environment that fosters innovation and technological advancement.

Conclusion

Xunzhao Yin's contributions to the field of technology through his patents reflect his commitment to innovation and excellence. His work not only advances the understanding of memory systems but also paves the way for future developments in computing 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…