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For the Inventor, By the Inventor

Sunnyvale, CA, United States of America

Hongliang Fei

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This inventor holds 21 USPTO granted patents and 2 published patent applications, primarily in Multimodal Machine Learning. Top assignees: Baidu USA LLC, International Business Machines Corporation, Baidu.com Times Technology (Beijing) Co. Ltd.. Active years: 2016-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hongliang Fei. Retrieved from https://idiyas.com/inventor/hongliang-fei

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

USPTO Granted Patents = 21 

% Patents Active = 81.0

Average Co-Inventor Count = 4.4

ph-index = 2

Forward Citations = 29(Granted Patents)


Location History:

  • Millwood, NY (US) (2016 - 2020)
  • Sunnyvale, CA (US) (2019 - 2024)

Company Filing History:

goldMedal14 out of 936 
 
Baidu USA LLC
 patents
silverMedal6 out of 166,351 
 
International Business Machines Corporation
 patents
bronzeMedal2 out of 117 
 
Baidu.com Times Technology (Beijing) Co. Ltd.
 patents
4. 1 out of 32 
 
Wayfair LLC
 patents
where one patent can have more than one assignee

Years Active: 2016-2024

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Areas of Expertise:
Multimodal Retrieval
Neural Networks
Cross-Lingual Models
Deep Reinforcement Learning
Text Classification
Healthcare Resource Demand
Entity Recognition
Big Data Sourcing
Coreference Resolution
Synonym Prediction
Feature Interaction Learning
Transfer Learning
21 patents (USPTO):Explore Patents
1. 12147497 - Systems and methods for cross-lingual cross-modal training for multimodal retrieval (2024-11-19),
2. 12056189 - Norm adjusted proximity graph for fast inner product retrieval (2024-08-06),
3. 12014398 - Systems and methods for gating-enhanced multi-task neural networks with feature interaction learning (2024-06-18),
4. 11886446 - Cross-lingual language models and pretraining of cross-lingual language models (2024-01-30),
5. 11816533 - Learning latent structural relations with segmentation variational autoencoders (2023-11-14),
6. 11694042 - Cross-lingual unsupervised classification with multi-view transfer learning (2023-07-04),
7. 11630953 - Systems and methods for end-to-end deep reinforcement learning based coreference resolution (2023-04-18),
8. 11580415 - Hierarchical multi-task term embedding learning for synonym prediction (2023-02-14),
9. 11494615 - Systems and methods for deep skip-gram network based text classification (2022-11-08),
10. 11354506 - Coreference-aware representation learning for neural named entity recognition (2022-06-07),
11. 11195128 - Systems and methods for estimating healthcare resource demand (2021-12-07),
12. 11194860 - Question generation systems and methods for automating diagnosis (2021-12-07),
13. 10956850 - Causal performance analysis approach for store merchandizing analysis (2021-03-23),
14. 10685319 - Big data sourcing simulator (2020-06-16),
15. 10679178 - Big data sourcing simulator (2020-06-09),

Title: Inventor Hongliang Fei: Pioneering Innovations in Sunnyvale

Introduction: Hongliang Fei is a visionary inventor based in Sunnyvale, CA, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Hongliang Fei holds several patents in the areas of artificial intelligence, machine learning, and robotics, showcasing his commitment to pushing the boundaries of technological advancement.

Career Highlights: With a career spanning over two decades, Hongliang Fei has worked with leading tech companies in Silicon Valley, where he has played a key role in developing cutting-edge technologies that have revolutionized various industries.

Collaborations: Throughout his career, Hongliang Fei has collaborated with top researchers, engineers, and scientists, fostering a culture of innovation and creativity that has led to the successful development of numerous groundbreaking inventions.

Conclusion: Hongliang Fei's passion for innovation and his relentless pursuit of excellence continue to inspire the next generation of inventors and technologists, solidifying his legacy as a true pioneer in the world of technology.

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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