San Francisco, CA, United States of America

Zuye Zheng

This inventor holds 28 USPTO granted patents and 3 published patent applications, primarily in Data Management. Top assignees: Salesforce Com, Inc., Salesforce, Inc.. Active years: 2013-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zuye Zheng. Retrieved from https://idiyas.com/inventor/zuye-zheng

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

USPTO Granted Patents = 28 

% Patents Active = 100.0

Average Co-Inventor Count = 3.4

ph-index = 9

Forward Citations = 194(Granted Patents)


Company Filing History:


Years Active: 2013-2023

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Areas of Expertise:
Query Generation
Data Extraction
Performance Profiling
Data Ontology
Dynamic Reporting
Error Identification
User-Generated Links
Dataflow Optimization
Modular Runtime
Dashboard Execution
Graph Representation
Multi-Tenant Systems
28 patents (USPTO):Explore Patents

Title: Zuye Zheng: A Leader in Database Query Innovation

Introduction

Zuye Zheng, based in San Francisco, CA, is a prominent figure in the field of database systems, holding an impressive 28 patents. His innovative work primarily focuses on enhancing the efficiency and capability of natural language query processing, contributing significantly to the ever-evolving landscape of data management and retrieval.

Latest Patents

Zheng's latest patents showcase his commitment to integrating machine learning with database systems. One such patent is titled "Primitive-based query generation from natural language queries," which describes methods and systems that allow a database to interpret natural language inputs. The database system employs a neural network to understand the grammatical structures of queries, facilitating the generation of corresponding database queries through a strategic labeling of tokens.

Another noteworthy patent, "Generating a query using training observations," outlines procedures for creating query recommendations based on training sets derived from tenant-specific datasets. This involves training machine learning models to identify grouping hierarchies and aggregation predictions, thus improving the relevance of suggested queries presented to users.

Career Highlights

Zuye Zheng has made significant contributions while working with notable companies such as Salesforce.com, Inc. and Salesforce, Inc. His role at these organizations has undoubtedly influenced the development of advanced database solutions that leverage natural language processing and machine learning techniques.

Collaborations

Throughout his career, Zheng has collaborated with talented individuals in the field, including colleagues Thomas J. Tobin and Vladislav Eroshin. These partnerships have facilitated the exchange of ideas and innovative approaches to solving complex problems in database query generation.

Conclusion

Zuye Zheng's contributions to the realm of database innovation are marked by his extensive patent portfolio and collaborative efforts with industry leaders. His work on natural language query processing defines new directions for database systems, ensuring that they are not only efficient but also more intuitive for users. With continuous advancements in technology, Zheng's future innovations are anticipated to have a profound impact on the way we interact with data.

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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