Examiner Qing Yuan Wu has allowed 904 of 1,007 decided applications (90%) in Computer Architecture, Software, and Information Security.
Qing Yuan Wu has a public record across 5 art units within Technology Center 2100 (Computer Architecture, Software, and Information Security). Over 1,007 decided applications, the examiner issued an allowance rate of 90%, meaning 904 applications were allowed and 103 were abandoned. The allowance rate varies across the examiner's art units, ranging from 79% to 93%. This pooled figure reflects outcomes aggregated across multiple art units and does not describe the rate for any single art unit.
This pooled record aggregates data from 5 art units. The 90% overall allowance rate is a historical aggregate of decided applications and does not function as a prediction for any individual application. Art units within TC 2100 show variation in allowance rates (79% to 93%), reflecting differences in subject matter, claim patterns, or examiner assignment within those units. Pooled data describes past outcomes; individual application outcomes depend on specific claim scope, prior art, and examination.
These are aggregate statistics from this examiner's past public record — not predictions about any specific application. The per-art-unit figures below show how the record varies across art units. Our approach to patent prosecution →
Each section benchmarks this examiner against that art unit's average. Figures are this examiner's own public record within the art unit; the overall rate above pools them.
Primarily examines software engineering, and program control and execution.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 173 decided applications with an interview and 571 without.
Primarily examines program control and execution.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 118 decided applications with an interview and 87 without.
Primarily examines program control and execution.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 16 decided applications with an interview and 40 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Primarily examines neural-network / biological-model computing, and machine learning.
Methodology. This page pools every art unit in which Examiner Qing Yuan Wu has a public record within Technology Center 2100. Statistics are computed from publicly available USPTO records, refreshed on a recurring schedule. This page's data was last updated June 25, 2026. The overall allowance rate is total allowed divided by total decided applications (allowed plus abandoned) across all art units — not an average of the per-art-unit rates; pending applications are excluded. Figures are rounded for display. Pooled sample: 1,039 applications.
Lynch LLP is not affiliated with, endorsed by, or sponsored by the United States Patent and Trademark Office. Examiner statistics are derived from publicly available USPTO data.
These statistics describe past examiner behavior and do not predict the outcome of any particular application. Past results do not guarantee future outcomes. Where this page compares an examiner's allowance rate to an art-unit average, that comparison is a factual description of the public record, not a characterization of any individual examiner's conduct or competence.
This page is for general informational purposes and is not legal advice. No attorney-client relationship is formed by viewing it. Full disclaimers →
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