Technology areas: Computing & Software • Medical Devices & Mechanical Engineering
6 pending office actions • 5 art units • 6 examiners • 0 of 6 (0%) have an AI response strategy ready • 26 patents granted in the last 365 days
Zhejiang Lab manages a portfolio in the Computing & Software technology area with 6 pending office actions. These actions are distributed across 6 distinct examiners, meaning each pending matter is under the review of a different official. The workload is spread across 5 distinct art units, which suggests a degree of technical variety within the company's software interests. This distribution across 5 distinct art units requires the applicant to maintain consistent arguments while addressing the individual perspectives of different officials.
CHEN, KUANG FU is identified as the busiest examiner for this portfolio, currently handling 1 busiest examiner pending office action. Because the 6 distinct examiners are each handling a portion of the workload, the prosecution is distributed across the pool. This number of examiners and the variety of art units requires a coordinated prosecution strategy to ensure consistency across applications. Practitioners should be aware that the distribution across many examiners may lead to varying timelines for the pending matters. The focus on the computing field remains the primary driver of the company's current patent office interactions, requiring diligent tracking of examiner-specific requirements.
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 only | 1 (17%) |
| §101 + other | 3 (50%) |
| Multi-statute (no §101) | 2 (33%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| CHEN, KUANG FU | 1 | 79.8% | +69.0% |
| SHAH, JAY B | 1 | 58.4% | +6.0% |
| TRAN, AMY NMN | 1 | 40.0% | +39.2% |
| GARNER, CASEY R | 1 | 71.2% | +17.1% |
| SITTON, JEHANNE SOUAYA | 1 | 53.2% | +47.5% |
| DOUGHERTY, SEAN PATRICK | 1 | 74.5% | +16.1% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18427844 | COGNITIVE TRAINING MATERIAL GENERATION METHOD, CONGNITIVE TRAINING METHOD, DIVICE, AND MEDIUM | SHAH, JAY B | 44d overdue |
| 18689934 | PARKING SPACE VACANCY RATE PREDICTION METHOD AND APPARATUS, STORAGE MEDIUM AND DEVICE | CHEN, KUANG FU | — |
| 18580048 | DISTRIBUTED MODEL TRAINING BASED ON NODE FAULT PERCEPTION | TRAN, AMY NMN | — |
| 18580105 | METHOD FOR TASK EXECUTION BASED ON KNOWLEDGE GRAPH OBTAINED THROUGH ENTITY ALIGNMENT | GARNER, CASEY R | — |
| 18561284 | MICRO-RNA DETECTION METHOD AND KIT | SITTON, JEHANNE SOUAYA | — |
| 18115678 | Brain-Computer Interface Decoding Method and Apparatus Based on Point-Position Equivalent Augmentation | DOUGHERTY, SEAN PATRICK | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18689934 | PARKING SPACE VACANCY RATE PREDICTION METHOD AND APPARATUS, STORAGE MEDIUM AND DEVICE | CHEN, KUANG FU | — |
| 18580048 | DISTRIBUTED MODEL TRAINING BASED ON NODE FAULT PERCEPTION | TRAN, AMY NMN | — |
| 18580105 | METHOD FOR TASK EXECUTION BASED ON KNOWLEDGE GRAPH OBTAINED THROUGH ENTITY ALIGNMENT | GARNER, CASEY R | — |
| 18561284 | MICRO-RNA DETECTION METHOD AND KIT | SITTON, JEHANNE SOUAYA | — |
| 18115678 | Brain-Computer Interface Decoding Method and Apparatus Based on Point-Position Equivalent Augmentation | DOUGHERTY, SEAN PATRICK | — |
| Art Unit | Apps |
|---|---|
| 3791 | 2 |
| 2143 | 1 |
| 2126 | 1 |
| 2123 | 1 |
| 1682 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18689934 | PARKING SPACE VACANCY RATE PREDICTION METHOD AND APPARATUS, STORAGE MEDIUM AND DEVICE | CHEN, KUANG FU | 2143 | §103§112 | Non-Final OA | — | Pending | Mar 07, 2024 |
| 18427844 | COGNITIVE TRAINING MATERIAL GENERATION METHOD, CONGNITIVE TRAINING METHOD, DIVICE, AND MEDIUM | SHAH, JAY B | 3791 | §101 | Non-Final OA | 44d overdue | Pending | Jan 31, 2024 |
| 18580048 | DISTRIBUTED MODEL TRAINING BASED ON NODE FAULT PERCEPTION | TRAN, AMY NMN | 2126 | §101§103 | Non-Final OA | — | Pending | Jan 17, 2024 |
| 18580105 | METHOD FOR TASK EXECUTION BASED ON KNOWLEDGE GRAPH OBTAINED THROUGH ENTITY ALIGNMENT | GARNER, CASEY R | 2123 | §101§103 | Non-Final OA | — | Pending | Jan 17, 2024 |
| 18561284 | MICRO-RNA DETECTION METHOD AND KIT | SITTON, JEHANNE SOUAYA | 1682 | §102§103§112 | Non-Final OA | — | Pending | Nov 15, 2023 |
| 18115678 | Brain-Computer Interface Decoding Method and Apparatus Based on Point-Position Equivalent Augmentation | DOUGHERTY, SEAN PATRICK | 3791 | §101§112 | Non-Final OA | — | Pending | Feb 28, 2023 |
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Start Free TrialZhejiang Lab has 6 pending office actions as of October 2026, spread across 5 art units and 6 examiners.
Kuang Fu Chen has the most, with 1 of Zhejiang Lab's pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
