Beijing, China

Zhuang Liu

USPTO Granted Patents = 3 

Average Co-Inventor Count = 4.4

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020-2025

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Zhuang Liu: Innovator in Genomics and Machine Learning

Introduction

Zhuang Liu is a prominent inventor based in Beijing, China, known for his contributions to genomics and machine learning. He holds a total of 3 patents, showcasing his innovative spirit and dedication to advancing technology in these fields.

Latest Patents

One of Liu's latest patents is the "Egg-type chicken whole-genome SNP chip and use thereof." This invention provides a comprehensive SNP chip that identifies genetic relationships among commercial egg-type chickens and local breeds. The chip includes a total of 43,681 SNPs, which are crucial for applications such as whole-genome association analysis and genome selective breeding.

Another significant patent is "Slimming of neural networks in machine learning environments." This mechanism facilitates the optimization of neural networks by analyzing channels associated with various layers. The method involves computing scaling factors to determine the relevance of each channel, allowing for the pruning of less relevant channels to enhance the efficiency of machine learning processes.

Career Highlights

Zhuang Liu has worked with notable organizations, including Intel Corporation and China Agricultural University. His experience in these institutions has contributed to his expertise in both genomics and machine learning, allowing him to develop innovative solutions that address complex challenges.

Collaborations

Liu has collaborated with esteemed colleagues such as Shoumeng Yan and Jianguo Li. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and advancements in their respective fields.

Conclusion

Zhuang Liu's work exemplifies the intersection of genomics and machine learning, making significant strides in both areas. His patents reflect a commitment to innovation and a desire to improve agricultural practices and machine learning technologies.

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