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For the Inventor, By the Inventor

San Jose, CA, United States of America

Keng-hao Chang

USPTO Granted Patents = 13 

Average Co-Inventor Count = 3.5

ph-index = 4

Forward Citations = 44(Granted Patents)


Location History:

  • Mountain View, CA (US) (2019)
  • San Jose, CA (US) (2019 - 2024)

Company Filing History:

goldMedal13 out of 54,638 
 
Microsoft Technology Licensing, LLC
 patents

Years Active: 2019-2024

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13 patents (USPTO):Explore Patents
1. 11960573 - Neural network categorization accuracy with categorical graph neural networks (2024-04-16),
2. 11921766 - Generating electronic summary documents for landing pages (2024-03-05),
3. 11603017 - Query rewriting and interactive inquiry framework (2023-03-14),
4. 11551039 - Neural network categorization accuracy with categorical graph neural networks (2023-01-10),
5. 11449536 - Generating electronic summary documents for landing pages (2022-09-20),
6. 11301732 - Processing image-bearing electronic documents using a multimodal fusion framework (2022-04-12),
7. 11263487 - Multi-task GAN, and image translator and image classifier trained thereby (2022-03-01),
8. 11250042 - Taxonomy enrichment using ensemble classifiers (2022-02-15),
9. 11163940 - Pipeline for identifying supplemental content items that are related to objects in images (2021-11-02),
10. 10654380 - Query rewriting and interactive inquiry framework (2020-05-19),
11. 10614118 - Increasing inclusiveness of search result generation through tuned mapping of text and images into the same high-dimensional space (2020-04-07),
12. 10459928 - Dynamic tensor attention for information retrieval scoring (2019-10-29),
13. 10354182 - Identifying relevant content items using a deep-structured neural network (2019-07-16),

Title: The Innovations of Keng-hao Chang: A Trailblazer in Neural Networks and Content Generation

Introduction: Keng-hao Chang, an innovative inventor based in San Jose, CA, has made significant contributions to the field of technology through his expertise in neural networks and content generation. With a remarkable portfolio of 13 patents, he continues to push the boundaries of what's possible in these domains.

Latest Patents: Among his latest inventions are pioneering methods that enhance neural network categorization accuracy using categorical graph neural networks. This invention allows for improved categorization by incorporating relationships defined by a taxonomy of categories, thus enriching the output generated by neural networks. Another noteworthy patent involves generating electronic summary documents for landing pages. This technology employs a sequence-to-sequence model trained on a variety of landing pages, enabling the automatic creation of supplemental content items based on user engagement metrics.

Career Highlights: Keng-hao Chang has built an impressive career in technology, currently serving at Microsoft Technology Licensing, LLC. His role involves developing innovative solutions that blend artificial intelligence and user interaction, thereby creating more intuitive and responsive digital experiences. His patents not only showcase his creativity but also his ability to apply theoretical concepts to real-world applications.

Collaborations: Throughout his career, Chang has collaborated with notable colleagues such as Ruofei Zhang and Qun Li. Together, they have strived to advance the fields of machine learning and data processing, contributing to advancements that influence various industries.

Conclusion: Keng-hao Chang's innovative spirit and dedication to technology have made significant impacts in the domains of neural networks and content generation. As he continues to develop inventive solutions, his work promises to influence how we interact with technology in the years to come.

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