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For the Inventor, By the Inventor

Palo Alto, CA, United States of America

Haixun Wang

USPTO Granted Patents = 20 

Average Co-Inventor Count = 3.2

ph-index = 2

Forward Citations = 54(Granted Patents)


Company Filing History:

goldMedal16 out of 205 
 
Maplebear Inc.
 patents
silverMedal3 out of 5,341 
 
Facebook, Inc.
 patents
bronzeMedal1 out of 32,429 
 
Google Inc.
 patents

Years Active: 2017-2025

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20 patents (USPTO):
1. 12487857 - AI agent-driven interaction model for applications (2025-12-02),
2. 12482030 - Generating a suggested shopping list by populating a template shopping list of item categories with item types and quantities based on a set of collection rules (2025-11-25),
3. 12482021 - Personalized machine-learned large language model (LLM) (2025-11-25),
4. 12450277 - False negative prediction for training a machine-learning model (2025-10-21),
5. 12367220 - Clustering data describing interactions performed after receipt of a query based on similarity between embeddings for different queries (2025-07-22),
6. 12287819 - Machine learned models for search and recommendations (2025-04-29),
7. 12259894 - Accounting for item attributes when selecting items satisfying a query based on item embeddings and an embedding for the query (2025-03-25),
8. 12222937 - Training a machine learned model to determine relevance of items to a query using different sets of training data from a common domain (2025-02-11),
9. 12217203 - Picking sequence optimization within a warehouse for an item list (2025-02-04),
10. 12210591 - Weakly supervised extraction of attributes from unstructured data to generate training data for machine learning models (2025-01-28),
11. 12204614 - Training a classification model using labeled training data that does not overlap with target classifications for the classification model (2025-01-21),
12. 12033172 - Selecting a warehouse location for displaying an inventory of items to a user of an online concierge system based on predicted availabilities of items at the warehouse over time (2024-07-09),
13. 12026180 - Clustering data describing interactions performed after receipt of a query based on similarity between embeddings for different queries (2024-07-02),
14. 11989770 - Personalized recommendation of complementary items to a user for inclusion in an order for fulfillment by an online concierge system based on embeddings for a user and for items (2024-05-21),
15. 11947632 - Training a classification model using labeled training data that does not overlap with target classifications for the classification model (2024-04-02),

Title: Haixun Wang: Pioneering Inventor from Palo Alto

Introduction:

Haixun Wang is a distinguished inventor based in Palo Alto, California, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents:

Haixun Wang holds several patents in the areas of artificial intelligence, machine learning, and data analytics, showcasing his expertise in cutting-edge technologies.

Career Highlights:

With a career spanning over two decades, Haixun Wang has worked with leading tech companies, driving innovation and spearheading research projects that have revolutionized the industry.

Collaborations:

Throughout his career, Haixun Wang has collaborated with top researchers, engineers, and scientists, fostering a culture of creativity and excellence in the projects he undertakes.

Conclusion:

Haixun Wang's relentless pursuit of innovation and his passion for pushing the boundaries of technology make him a true visionary in the world of inventions. His work continues to inspire and shape the future of the tech industry.

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