Beijing, China

Shiming Yin

USPTO Granted Patents = 6 

 

Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2020-2023

where 'Filed Patents' based on already Granted Patents

6 patents (USPTO):

Title: Shiming Yin: Innovator in Deep Learning and Enterprise Relationship Mining

Introduction

Shiming Yin is a prominent inventor based in Beijing, China. He has made significant contributions to the fields of deep learning and enterprise relationship mining. With a total of 6 patents to his name, Yin's work showcases his expertise and innovative spirit.

Latest Patents

One of his latest patents is titled "Method and apparatus for scheduling resource for deep learning framework." This patent discloses a method and apparatus for scheduling resources within a deep learning framework. The method involves querying the statuses of all deep learning job objects from a Kubernetes platform at predetermined intervals. It also includes submitting resource requests to the Kubernetes platform to initiate deep learning training tasks, thereby automating resource allocation and release.

Another notable patent is the "Method and device for mining an enterprise relationship." This invention focuses on acquiring Internet data of various types and identifying enterprise names through an enterprise name identification model. By employing a frequent item mining algorithm, the method extracts relational degrees among enterprise names, leading to a deeper understanding of enterprise relationships.

Career Highlights

Shiming Yin has worked with notable companies, including Beijing Baidu Netcom Science and Technology Co., Ltd. His experience in these organizations has allowed him to develop and refine his innovative ideas in technology and data mining.

Collaborations

Yin has collaborated with talented individuals such as Jiangliang Guo and Yang Liang. These partnerships have contributed to the advancement of his research and inventions.

Conclusion

Shiming Yin's contributions to deep learning and enterprise relationship mining highlight his innovative capabilities and dedication to advancing technology. His patents reflect a commitment to automating processes and enhancing data analysis in the modern digital landscape.

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