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For the Inventor, By the Inventor

San Jose, CA, United States of America

Hongzhi Wang

This inventor holds 31 USPTO granted patents and 4 published patent applications, primarily in Medical Image Analysis. Top assignees: International Business Machines Corporation, University of Southern California. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hongzhi Wang. Retrieved from https://idiyas.com/inventor/hongzhi-wang

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

USPTO Granted Patents = 31 

% Patents Active = 83.9

Average Co-Inventor Count = 2.5

ph-index = 3

Forward Citations = 51(Granted Patents)


Location History:

  • Santa Clara, CA (US) (2019 - 2022)
  • San Jose, CA (US) (2019 - 2023)
  • Santa Bruno, CA (US) (2022 - 2024)

Company Filing History:

goldMedal30 out of 166,325 
 
International Business Machines Corporation
 patents
silverMedal2 out of 1,693 
 
University of Southern California
 patents
where one patent can have more than one assignee

Years Active: 2019-2026

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Areas of Expertise:
Machine Learning
Image Segmentation
Multimodal Data
Disease Detection
Anatomy Segmentation
Data Inference
Image Translation
Medical Imaging
Automated Detection
Training Techniques
Attention Mechanisms
3D Reconstruction
31 patents (USPTO):Explore Patents
1. 12670231 - Machine learning for non-imaging data using task-dependent feature dependencies (2026-06-30),
2. 12632925 - Parameter-efficient and resolution-robust network architectures for image-to-image translation (2026-05-19),
3. 12608647 - Multimodal data inference (2026-04-21),
4. 11967067 - Disease detection with masked attention (2024-04-23),
5. 11823046 - Identifying subject matter of a digital image (2023-11-21),
6. 11687621 - Multi-modal fusion techniques considering inter-modality correlations and computer model uncertainty (2023-06-27),
7. 11651499 - Reducing structural redundancy in automatic image segmentation (2023-05-16),
8. 11526694 - Model training using fully and partially-annotated images (2022-12-13),
9. 11449716 - Model training using partially-annotated images (2022-09-20),
10. 11416772 - Integrated bottom-up segmentation for semi-supervised image segmentation (2022-08-16),
11. 11246539 - Automated detection and type classification of central venous catheters (2022-02-15),
12. 11244755 - Automatic generation of medical imaging reports based on fine grained finding labels (2022-02-08),
13. 11222228 - Techniques for example-based affine registration (2022-01-11),
14. 11094069 - Template based anatomical segmentation of medical images (2021-08-17),
15. 10949714 - Assigning a semantically meaningful label to a digital image (2021-03-16),

Title: The Innovative Journey of Hongzhi Wang

Introduction: Hongzhi Wang, a talented inventor based in San Jose, CA (US), has made significant contributions to the field of technology through his groundbreaking innovations.

Latest Patents: Hongzhi Wang holds several patents in the areas of artificial intelligence, machine learning, and robotics, showcasing his expertise in cutting-edge technologies.

Career Highlights: With a background in computer science and engineering, Hongzhi Wang has a successful career marked by his ability to transform complex ideas into practical solutions. He has worked for leading tech companies, where he has spearheaded projects that have pushed the boundaries of innovation.

Collaborations: Throughout his career, Hongzhi Wang has collaborated with top researchers, engineers, and developers to bring his ideas to life. His collaborative spirit and passion for innovation have led to the creation of groundbreaking technologies that have revolutionized the industry.

Conclusion: Hongzhi Wang's relentless pursuit of innovation and his dedication to pushing the limits of technology make him a standout inventor in the field. His work continues to inspire and shape the future of the tech industry.

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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