logo

For the Inventor, By the Inventor

Palo Alto, CA, United States of America

Haixun Wang

This inventor holds 24 USPTO granted patents and 33 published patent applications, primarily in Machine Learning Applications. Top assignees: Maplebear Inc., Meta Platforms, Inc., Google Inc.. Active years: 2017-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Haixun Wang. Retrieved from https://idiyas.com/inventor/haixun-wang-dd9jw0xn

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

USPTO Granted Patents = 24 

% Patents Active = 100.0

Average Co-Inventor Count = 3.4

ph-index = 2

Forward Citations = 61(Granted Patents)


Company Filing History:

goldMedal20 out of 355 
 
Maplebear Inc.
 patents
silverMedal3 out of 9,905 
 
Meta Platforms, Inc.
 patents
bronzeMedal1 out of 33,987 
 
Google Inc.
 patents

Years Active: 2017-2026

Loading Chart...
Areas of Expertise:
Machine Learning
Search Optimization
Recommendations
Warehouse Location
Embedding Algorithms
Data Clustering
Large Language Models
AI Interaction Models
Training Data Generation
Personalized Shopping
False Negative Prediction
3D Video Making
24 patents (USPTO):Explore Patents
1. 12737402 - Machine learned models for search and recommendations (2026-09-15),
2. 12675805 - 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 (2026-07-07),
3. 12626287 - Processing crowd-sourced information using machine learning based language models (2026-05-12),
4. 12602361 - Selecting indexing algorithms for automated embedding database generation (2026-04-14),
5. 12487857 - AI agent-driven interaction model for applications (2025-12-02),
6. 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),
7. 12482021 - Personalized machine-learned large language model (LLM) (2025-11-25),
8. 12450277 - False negative prediction for training a machine-learning model (2025-10-21),
9. 12367220 - Clustering data describing interactions performed after receipt of a query based on similarity between embeddings for different queries (2025-07-22),
10. 12287819 - Machine learned models for search and recommendations (2025-04-29),
11. 12259894 - Accounting for item attributes when selecting items satisfying a query based on item embeddings and an embedding for the query (2025-03-25),
12. 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),
13. 12217203 - Picking sequence optimization within a warehouse for an item list (2025-02-04),
14. 12210591 - Weakly supervised extraction of attributes from unstructured data to generate training data for machine learning models (2025-01-28),
15. 12204614 - Training a classification model using labeled training data that does not overlap with target classifications for the classification model (2025-01-21),

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.

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]
Loading…