Shenzhen, China

Jun Yao

This inventor holds 27 USPTO granted patents and 14 published patent applications and 18 EPO patents, primarily in Neural Network Technology. Top assignees: Huawei Technologies Co., Limited, Zte Corporation, The Boeing Company. Active years: 2015-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jun Yao. Retrieved from https://idiyas.com/inventor/jun-yao

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

USPTO Granted Patents = 27 

% Patents Active = 92.6

 

Average Co-Inventor Count = 2.9

ph-index = 4

Forward Citations = 70(Granted Patents)


Location History:

  • Shenzhen, CN (2015 - 2021)
  • London, GB (2022)
  • Beijing, CN (2019 - 2023)

Company Filing History:


Years Active: 2015-2025

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Areas of Expertise:
Neural Network Training
Silicon-Based Battery
Automated Sorting
Magnetic Power Component
Image Processing
Aero Aluminum Scrap
Electric Piano
Flyback Circuit
Optical Imaging
Data Prefetching
Access Network Selection
Malicious Code Detection
27 patents (USPTO):Explore Patents

Title: Innovations of Jun Yao in Advanced Material Processing

Introduction

Jun Yao is an accomplished inventor based in Shenzhen, China, known for his contributions to the fields of material processing and advanced sorting technologies. With a remarkable portfolio consisting of 24 patents, Jun Yao has made significant strides in the innovation landscape, particularly focusing on aerospace materials and battery technology.

Latest Patents

Among his latest innovations is the "Automated Aero Aluminum Scrap Sorting System Based on Laser Induced Breakdown (LIBS) Technique." This patent describes a fully automatic online sorting and recovery system designed for processing large batches of aero aluminum. The system leverages Laser Induced Breakdown Spectroscopy (LIBS) technology, allowing for efficient sorting, detection, and recovery of aluminum scraps. It consists of several components including a sample feeding unit, surface treatment unit, material positioning unit, LIBS analysis and detection unit, transfer unit, and sorting and recovery unit. With a sorting accuracy rate exceeding 90% and capable of processing more than one block per second, this invention showcases a leap forward in aerospace aluminum recycling.

Another notable patent of Jun Yao is the "Preparation Method of Silicon-Based Composite Negative Electrode Material for Lithium Battery." This innovative method involves producing steam from a silicon-containing raw material and a reducing agent under vacuum conditions, followed by depositing the material in a specialized system and applying carbon coating. The incorporation of alloys enhances the material's cycling stability and initial efficiency, marking a significant breakthrough for lithium battery technology.

Career Highlights

Throughout his career, Jun Yao has held significant positions in leading technology firms, including Huawei Technologies Co., Ltd. and ZTE Corporation. His experiences at these organizations have allowed him to work on cutting-edge technologies and develop solutions that address critical challenges in modern technology and sustainability.

Collaborations

Jun Yao has collaborated with notable professionals in the field, including his coworkers Qian Dai and Yunpeng Cui. Their joint efforts have led to advancements in material processing technologies and have strengthened the innovation ecosystem within their respective organizations.

Conclusion

Jun Yao remains a prominent figure in the realm of innovations, particularly in advanced materials and recycling technologies. His extensive patent portfolio and collaborative projects reflect a strong commitment to transforming industry practices through pioneering inventions. As technology continues to evolve, Jun Yao’s contributions will undoubtedly play a crucial role in shaping the future of material science and sustainable practices.

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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