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For the Inventor, By the Inventor

Goleta, CA, United States of America

Xinjie Guo

This inventor holds 14 USPTO granted patents, primarily in Neural Network Technology. Top assignees: Silicon Storage Technology, Inc., University of California. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xinjie Guo. Retrieved from https://idiyas.com/inventor/xinjie-guo

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

Calculating rank
USPTO Granted Patents = 14

% Patents Active = 100.0

Average Co-Inventor Count = 6.6

ph-index = 2

Forward Citations = 26(Granted Patents)


Company Filing History:

goldMedal13 out of 658 
 
Silicon Storage Technology, Inc.
 patents
silverMedal5 out of 16,082 
 
University of California
 patents
where one patent can have more than one assignee

Years Active: 2019-2026

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Areas of Expertise:
Neural Network
Non-Volatile Memory
Deep Learning
Memory Device
Mixed Signal Computing
Memory Cells
Weight Verification
Output Circuitry
Programming Methods
Image Scanning
Neural Classifier
Flash Memory
14 patents (USPTO):Explore Patents
1. 12541679 - Method of scanning an image using non-volatile memory array neural network classifier (2026-02-03),
2. 12347484 - Memory device of non-volatile memory cells (2025-07-01),
3. 12300313 - Deep learning neural network classifier using non-volatile memory array (2025-05-13),
4. 12112798 - Output circuitry for non-volatile memory array in neural network (2024-10-08),
5. 12106211 - Mixed signal neuromorphic computing with nonvolatile memory devices (2024-10-01),
6. 12057160 - Summing circuit for neural network (2024-08-06),
7. 11972795 - Verification of a weight stored in a non-volatile memory cell in a neural network following a programming operation (2024-04-30),
8. 11853856 - Programming methods for neural network using non-volatile memory array (2023-12-26),
9. 11829859 - Verification of a weight stored in a non-volatile memory cell in a neural network following a programming operation (2023-11-28),
10. 11790208 - Output circuitry for non-volatile memory array in neural network (2023-10-17),
11. 11308383 - Deep learning neural network classifier using non-volatile memory array (2022-04-19),
12. 10388389 - Flash memory array with individual memory cell read, program and erase (2019-08-20),
13. 10269440 - Flash memory array with individual memory cell read, program and erase (2019-04-23),
14. 10249375 - Flash memory array with individual memory cell read, program and erase (2019-04-02),

Title: The Innovative Journey of Xinjie Guo

Introduction: Xinjie Guo, a talented inventor based in Goleta, California, has made significant contributions to the field of technology with his groundbreaking innovations.

Latest Patents: Xinjie Guo holds several patents in the areas of artificial intelligence, renewable energy, and biotechnology, showcasing his diverse range of expertise and creativity.

Career Highlights: With a background in engineering and a passion for problem-solving, Xinjie Guo has successfully developed cutting-edge solutions that have revolutionized various industries. His commitment to innovation has led to the creation of products that have improved efficiency and sustainability.

Collaborations: Xinjie Guo has collaborated with leading research institutions and tech companies to further enhance his inventions. His ability to work in multidisciplinary teams has resulted in the successful implementation of his ideas into real-world applications.

Conclusion: Xinjie Guo's relentless pursuit of innovation and his dedication to pushing the boundaries of technology make him a true visionary in the world of inventors. His impact on the industry is profound, and his work continues to inspire future generations of inventors and innovators.

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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