Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18822974 | AUTOMATIC SNAPSHOT SELECTION AND ZONE CREATION | September 2024 | February 2025 | Allow | 6 | 1 | 0 | No | No |
| 18399326 | PROGRESS ADJUSTMENT METHOD AND APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM | December 2023 | November 2024 | Allow | 10 | 2 | 0 | Yes | No |
| 18395167 | MANAGEMENT OF LOCAL AND REMOTE MEDIA ITEMS | December 2023 | January 2025 | Abandon | 13 | 1 | 0 | Yes | No |
| 18391175 | VIDEO GENERATION METHOD, APPARATUS, SYSTEM, DEVICE AND STORAGE MEDIUM | December 2023 | February 2025 | Allow | 14 | 3 | 0 | Yes | No |
| 18222394 | OMNIDIRECTIONAL GESTURE DETECTION | July 2023 | September 2025 | Abandon | 26 | 4 | 0 | Yes | Yes |
| 18154144 | 3D Interactions with Web Content | January 2023 | June 2025 | Abandon | 29 | 4 | 0 | Yes | Yes |
| 17985435 | SYSTEM AND METHOD FACILITATING CONNECTIONS BETWEEN DIFFERENT COMPUTER-SIMULATED ENVIRONMENTS | November 2022 | January 2025 | Allow | 26 | 0 | 0 | No | No |
| 17822825 | MANAGEMENT OF COLLABORATION SETTINGS IN A HETEROGENOUS COMPUTING PLATFORM | August 2022 | April 2025 | Allow | 31 | 1 | 0 | No | No |
| 17887371 | NAVIGATION AND VIEW SHARING SYSTEM FOR REMOTE COLLABORATION | August 2022 | August 2024 | Allow | 24 | 2 | 0 | Yes | No |
| 17796714 | COMMUNICATION SYSTEM, TRANSMISSION APPARATUS, RECEPTION APPARATUS, MATRIX GENERATION APPARATUS, COMMUNICATION METHOD, TRANSMISSION METHOD, RECEPTION METHOD, MATRIX GENERATION METHOD AND RECORDING MEDIUM | August 2022 | July 2025 | Allow | 35 | 0 | 0 | No | No |
| 17805293 | MEASURE FACTORY | June 2022 | November 2024 | Abandon | 30 | 4 | 0 | No | No |
| 17663728 | MODEL OPTIMIZATION AND STABILIZATION USING QUANTUM COMPUTING | May 2022 | May 2025 | Allow | 36 | 0 | 0 | No | No |
| 17695910 | INTERACTIVE CHANNEL | March 2022 | March 2025 | Abandon | 36 | 4 | 0 | Yes | No |
| 17574301 | QUANTUM STATE TRANSFER | January 2022 | February 2025 | Allow | 37 | 0 | 0 | No | No |
| 17574262 | Fragment Management Method and Fragment Management Apparatus | January 2022 | October 2024 | Allow | 33 | 5 | 0 | Yes | No |
| 17622914 | DETERMINATION DEVICE, DETERMINATION METHOD, AND RECORDING MEDIUM | December 2021 | May 2025 | Allow | 41 | 1 | 0 | No | No |
| 17646088 | CREATING SATISFICING PLANNERS WITH DEEP LEARNING | December 2021 | June 2025 | Allow | 42 | 1 | 0 | Yes | No |
| 17530801 | METHOD FOR MODEL DEPLOYMENT, TERMINAL DEVICE, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM | November 2021 | September 2025 | Abandon | 46 | 1 | 0 | No | No |
| 17492254 | MEASURE FACTORY | October 2021 | November 2024 | Abandon | 38 | 4 | 0 | Yes | No |
| 17489100 | METHOD AND APPARATUS FOR TRAINING MODEL | September 2021 | August 2025 | Abandon | 47 | 1 | 0 | No | No |
| 17429687 | DATA CAPTURE AND TRANSFORMATION TO SUPPORT DATA ANALYSIS AND MACHINE LEARNING FOR SUBSTRATE MANUFACTURING SYSTEMS | August 2021 | April 2025 | Allow | 44 | 2 | 0 | Yes | No |
| 17397384 | TIMES SERIES MODEL EXPLAINABILITY | August 2021 | February 2025 | Allow | 42 | 1 | 0 | No | No |
| 17391384 | ELECTRONIC DEVICE FOR CONTROLLING WATCH FACE OF SMART WATCH AND OPERATION METHOD THEREFOR | August 2021 | November 2024 | Allow | 40 | 7 | 0 | Yes | No |
| 17378853 | SIMULATING QUANTUM CIRCUITS ON A COMPUTER USING HIERARCHICAL STORAGE | July 2021 | March 2025 | Allow | 44 | 1 | 0 | No | No |
| 17423223 | MEMORY NETWORK METHOD BASED ON AUTOMATIC ADDRESSING AND RECURSIVE INFORMATION INTEGRATION | July 2021 | December 2024 | Allow | 41 | 1 | 0 | Yes | No |
| 17370524 | SYSTEMS AND METHODS FOR VISION-AND-LANGUAGE REPRESENTATION LEARNING | July 2021 | December 2024 | Allow | 41 | 1 | 0 | No | No |
| 17368102 | IDENTIFYING RELATED MESSAGES IN A NATURAL LANGUAGE INTERACTION IN MULTIPLE ITERATIONS | July 2021 | May 2025 | Allow | 46 | 3 | 0 | Yes | No |
| 17348609 | MULTI-SPATIAL OVERVIEW MODE | June 2021 | September 2025 | Allow | 51 | 4 | 0 | No | Yes |
| 17325072 | MAPPING INTERFACE FOR MOBILE ROBOTS | May 2021 | January 2025 | Allow | 44 | 4 | 0 | Yes | No |
| 17321226 | USER TAG GENERATION METHOD AND APPARATUS, STORAGE MEDIUM, AND COMPUTER DEVICE | May 2021 | November 2024 | Allow | 42 | 1 | 0 | Yes | No |
| 17317920 | METHOD AND A SYSTEM FOR APPLYING MACHINE LEARNING TO AN APPLICATION | May 2021 | September 2025 | Abandon | 52 | 3 | 0 | Yes | No |
| 17210157 | GRAPH NEURAL NETWORKS FOR DATASETS WITH HETEROPHILY | March 2021 | October 2024 | Allow | 43 | 1 | 0 | No | No |
| 17207746 | METHOD OF GENERATING MODEL AND INFORMATION PROCESSING DEVICE | March 2021 | November 2024 | Abandon | 44 | 1 | 0 | No | No |
| 17277105 | END-TO-END LEARNING IN COMMUNICATION SYSTEMS | March 2021 | July 2024 | Allow | 40 | 1 | 0 | No | No |
| 17204935 | SYSTEM AND METHOD FOR AI MODEL WATERMARKING | March 2021 | May 2025 | Allow | 50 | 1 | 1 | No | No |
| 17275411 | DATA ANALYSIS APPARATUS, DATA ANALYSYS METHOD, AND PROGRAM | March 2021 | March 2025 | Abandon | 49 | 2 | 0 | Yes | No |
| 17176206 | APPARATUS AND METHOD FOR ANOMALY DETECTION USING WEIGHTED AUTOENCODER | February 2021 | March 2025 | Abandon | 49 | 1 | 0 | No | No |
| 17261604 | MONITORING MOVEABLE ENTITIES IN A PREDETERMINED AREA | January 2021 | January 2025 | Allow | 48 | 3 | 0 | No | No |
| 17133168 | METHODS AND APPARTUS TO CONSTRUCT PROGRAM-DERIVED SEMANTIC GRAPHS | December 2020 | March 2025 | Abandon | 50 | 2 | 0 | Yes | No |
| 17121629 | Scrolling Techniques for User Interfaces | December 2020 | July 2024 | Allow | 43 | 3 | 0 | Yes | Yes |
| 17107858 | EFFICIENT AND SCALABLE COMPUTATION OF GLOBAL FEATURE IMPORTANCE EXPLANATIONS | November 2020 | April 2025 | Allow | 52 | 3 | 0 | Yes | No |
| 17048048 | METHOD FOR ACCELERATING OPERATIONS AND ACCELERATOR APPARATUS | October 2020 | June 2024 | Allow | 44 | 1 | 0 | No | No |
| 17011389 | Head-Mounted Display With Haptic Output | September 2020 | January 2025 | Abandon | 52 | 8 | 0 | Yes | Yes |
| 16886355 | ACTIVE ACCESSIBILITY CONTROL BAR | May 2020 | January 2025 | Allow | 56 | 4 | 0 | Yes | Yes |
| 16855946 | CONVERSION OF HANDWRITING TO TEXT IN TEXT FIELDS | April 2020 | February 2025 | Allow | 58 | 4 | 0 | Yes | Yes |
| 16786585 | HOSPITAL OPERATIONS MEASUREMENT AND PERFORMANCE ANALYSIS FACTORY INSTANCE OF A MEASURE FACTORY | February 2020 | February 2025 | Abandon | 60 | 10 | 0 | Yes | No |
| 16680195 | MULTI-TASK SEGMENTED LEARNING MODELS | November 2019 | August 2024 | Allow | 57 | 6 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner HO, RUAY L.
With a 60.0% reversal rate, the PTAB has reversed the examiner's rejections more often than affirming them. This reversal rate is in the top 25% across the USPTO, indicating that appeals are more successful here than in most other areas.
Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.
In this dataset, 37.5% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is above the USPTO average, suggesting that filing an appeal can be an effective strategy for prompting reconsideration.
✓ Appeals to PTAB show good success rates. If you have a strong case on the merits, consider fully prosecuting the appeal to a Board decision.
✓ Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
Examiner HO, RUAY L works in Art Unit 2142 and has examined 32 patent applications in our dataset. With an allowance rate of 68.8%, this examiner has a below-average tendency to allow applications. Applications typically reach final disposition in approximately 46 months.
Examiner HO, RUAY L's allowance rate of 68.8% places them in the 30% percentile among all USPTO examiners. This examiner has a below-average tendency to allow applications.
On average, applications examined by HO, RUAY L receive 2.72 office actions before reaching final disposition. This places the examiner in the 80% percentile for office actions issued. This examiner issues more office actions than most examiners, which may indicate thorough examination or difficulty in reaching agreement with applicants.
The median time to disposition (half-life) for applications examined by HO, RUAY L is 46 months. This places the examiner in the 11% percentile for prosecution speed. Applications take longer to reach final disposition with this examiner compared to most others.
Conducting an examiner interview provides a -4.8% benefit to allowance rate for applications examined by HO, RUAY L. This interview benefit is in the 5% percentile among all examiners. Note: Interviews show limited statistical benefit with this examiner compared to others, though they may still be valuable for clarifying issues.
When applicants file an RCE with this examiner, 18.2% of applications are subsequently allowed. This success rate is in the 17% percentile among all examiners. Strategic Insight: RCEs show lower effectiveness with this examiner compared to others. Consider whether a continuation application might be more strategic, especially if you need to add new matter or significantly broaden claims.
This examiner enters after-final amendments leading to allowance in 18.2% of cases where such amendments are filed. This entry rate is in the 21% percentile among all examiners. Strategic Recommendation: This examiner rarely enters after-final amendments compared to other examiners. You should generally plan to file an RCE or appeal rather than relying on after-final amendment entry. Per MPEP § 714.12, primary examiners have discretion in entering after-final amendments, and this examiner exercises that discretion conservatively.
When applicants request a pre-appeal conference (PAC) with this examiner, 80.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 62% percentile among all examiners. Strategic Recommendation: Pre-appeal conferences show above-average effectiveness with this examiner. If you have strong arguments, a PAC request may result in favorable reconsideration.
This examiner withdraws rejections or reopens prosecution in 58.3% of appeals filed. This is in the 32% percentile among all examiners. Of these withdrawals, 28.6% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner shows below-average willingness to reconsider rejections during appeals. Be prepared to fully prosecute appeals if filed.
When applicants file petitions regarding this examiner's actions, 50.0% are granted (fully or in part). This grant rate is in the 46% percentile among all examiners. Strategic Note: Petitions show below-average success regarding this examiner's actions. Ensure you have a strong procedural basis before filing.
Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 10% percentile). This examiner rarely makes examiner's amendments compared to other examiners. You should expect to make all necessary claim amendments yourself through formal amendment practice.
Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.0% of allowed cases (in the 11% percentile). This examiner rarely issues Quayle actions compared to other examiners. Allowances typically come directly without a separate action for formal matters.
Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:
Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.
No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.
Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.
Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.