Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18725590 | COMPUTING TASK SCHEDULING METHOD AND APPARATUS, ELECTRONIC DEVICE, AND READABLE STORAGE MEDIUM | June 2024 | August 2025 | Allow | 14 | 2 | 0 | Yes | No |
| 18600164 | SYSTEM AND METHOD FOR OPTIMIZED COMPUTATION AND DATA MANAGEMENT | March 2024 | November 2024 | Allow | 8 | 1 | 0 | Yes | No |
| 18231631 | ENFORCE CHANGES IN SESSION BEHAVIOR BASED ON UPDATED MACHINE LEARNING MODEL WITH DETECTED RISK BEHAVIOR DURING SESSION | August 2023 | February 2026 | Abandon | 30 | 4 | 0 | Yes | No |
| 18221506 | SORTING FOR DATA-PARALLEL COMPUTING DEVICES | July 2023 | March 2025 | Abandon | 20 | 2 | 0 | Yes | No |
| 18342998 | AUTOSCALING NODES OF A STATEFUL APPLICATION BASED ON ROLE-BASED AUTOSCALING POLICIES | June 2023 | August 2024 | Allow | 14 | 1 | 0 | Yes | No |
| 18317721 | METHODS AND APPARATUS TO AUTOMATE DEPLOYMENTS OF SOFTWARE DEFINED DATA CENTERS | May 2023 | December 2024 | Abandon | 19 | 2 | 0 | No | No |
| 17903084 | CACHE COHERENT ACCELERATION FUNCTION VIRTUALIZATION WITH HIERARCHICAL PARTITION HARDWARE CIRCUITY IN ACCELERATOR | September 2022 | January 2024 | Allow | 16 | 1 | 0 | Yes | No |
| 17835159 | System and Method for a Self-Optimizing Reservation in Time of Compute Resources | June 2022 | July 2024 | Abandon | 25 | 4 | 0 | No | No |
| 17827889 | CORE TO RESOURCE MAPPING AND RESOURCE TO CORE MAPPING | May 2022 | May 2024 | Allow | 23 | 2 | 0 | Yes | No |
| 17736448 | SELF-EVOLVING MICROSERVICES | May 2022 | January 2024 | Abandon | 20 | 2 | 0 | No | No |
| 17718382 | DISTRIBUTED CONTROL PLANE FOR REFORMATTING COMMUNICATION BETWEEN A CONTAINER ORCHESTRATION PLATFORM AND A DISTRIBUTED STORAGE ARCHITECTURE | April 2022 | February 2026 | Allow | 46 | 1 | 0 | Yes | No |
| 17711214 | System and Method for a Self-Optimizing Reservation in Time of Compute Resources | April 2022 | June 2024 | Abandon | 26 | 4 | 0 | No | No |
| 17711242 | System and Method for a Self-Optimizing Reservation in Time of Compute Resources | April 2022 | March 2025 | Abandon | 36 | 6 | 0 | No | No |
| 17697235 | System and Method for a Self-Optimizing Reservation in Time of Compute Resources | March 2022 | September 2024 | Abandon | 30 | 6 | 0 | No | No |
| 17697368 | System and Method for Scheduling Resources Within a Compute Environment Using a Scheduler Process | March 2022 | July 2024 | Allow | 28 | 5 | 0 | Yes | No |
| 17697403 | System and Method for a Self-Optimizing Reservation in Time of Compute Resources | March 2022 | December 2023 | Allow | 21 | 4 | 0 | Yes | No |
| 17651943 | THREAD MANAGEMENT | February 2022 | November 2025 | Allow | 45 | 1 | 0 | Yes | No |
| 17586124 | SEMANTIC-AWARE WORKFLOW MODIFICATION AND EXECUTION WITH EXTRACTION OF MISSING PARAMETER | January 2022 | January 2026 | Allow | 48 | 2 | 0 | Yes | No |
| 17623195 | BLOCKCHAIN CONSENSUS METHOD, APPARATUS AND DEVICE | December 2021 | January 2026 | Abandon | 48 | 2 | 0 | No | No |
| 17620635 | METHOD AND APPARATUS FOR ACQUIRING DEVICE INFORMATION, STORAGE MEDIUM AND ELECTRONIC DEVICE | December 2021 | December 2024 | Abandon | 36 | 1 | 0 | No | No |
| 17543244 | TRANSACTION ENGINE FOR EXECUTING TRANSACTIONS IN CLOUD AND ON-PREMISE ENVIRONMENTS | December 2021 | February 2025 | Allow | 39 | 3 | 0 | Yes | No |
| 17615729 | SUPERVISORY DEVICE WITH DEPLOYED INDEPENDENT APPLICATION CONTAINERS FOR AUTOMATION CONTROL PROGRAMS | December 2021 | September 2025 | Allow | 45 | 2 | 0 | Yes | No |
| 17537985 | GPU RESOURCE USAGE TRACKING IN MACHINE-LEARNED MODEL EXECUTION SYSTEM USING INFERENCE WRAPPER | November 2021 | April 2025 | Allow | 41 | 2 | 0 | Yes | No |
| 17526796 | TECHNOLOGIES FOR SCHEDULING ACCELERATION OF FUNCTIONS IN A POOL OF ACCELERATOR DEVICES | November 2021 | September 2024 | Abandon | 34 | 4 | 0 | Yes | No |
| 17518932 | DATA SWAP PREVENTION IN DISTRIBUTED COMPUTING ENVIRONMENTS BASED ON MAPPING AMONG GLOBAL USER IDENTIFICATION, CORRELATION IDENTIFICATION AND THREAD IDENTIFICATION | November 2021 | June 2024 | Allow | 31 | 2 | 0 | Yes | No |
| 17499724 | HYBRID DATABASE FOR TRANSACTIONAL AND ANALYTICAL WORKLOADS | October 2021 | February 2025 | Abandon | 40 | 1 | 0 | No | No |
| 17490861 | EDGE NETWORK COMPUTING SYSTEM WITH DEEP REINFORCEMENT LEARNING BASED TASK SCHEDULING | September 2021 | October 2024 | Allow | 37 | 1 | 0 | Yes | No |
| 17478698 | 3D API Redirection for Virtual Desktop Infrastructure Using A Client-Side Shadow Window | September 2021 | April 2025 | Allow | 43 | 2 | 0 | Yes | No |
| 17474131 | DYNAMIC MODIFICATION OF ROBOTIC PROCESS AUTOMATION CONTROLS USING BLOCKCHAIN | September 2021 | November 2024 | Allow | 38 | 2 | 0 | Yes | No |
| 17446418 | RESERVATION MECHANISM FOR NODE WITH TOKEN CONSTRAINTS | August 2021 | January 2025 | Allow | 41 | 2 | 0 | Yes | No |
| 17391575 | PATTERN RECOGNITION SYSTEM, METHOD AND COMPUTER READABLE STORAGE MEDIUM UTILIZING SELF-REPLICATING NODES | August 2021 | September 2024 | Allow | 38 | 1 | 0 | Yes | No |
| 17349937 | COMPUTER SYSTEM WITH PROCESSING CIRCUIT THAT WRITES DATA TO BE PROCESSED BY PROGRAM CODE EXECUTED ON PROCESSOR INTO EMBEDDED MEMORY INSIDE PROCESSOR | June 2021 | August 2025 | Allow | 50 | 3 | 0 | Yes | No |
| 17333979 | CONSISTENT HASHING FOR COMMUNICATION DEVICES | May 2021 | May 2024 | Abandon | 36 | 2 | 0 | Yes | No |
| 17329046 | MACHINE LEARNING BASED APPLICATION SIZING ENGINE FOR INTELLIGENT INFRASTRUCTURE ORCHESTRATION | May 2021 | May 2024 | Abandon | 36 | 1 | 0 | No | No |
| 17323110 | Generating Abstractions For Offloading Tasks to Heterogeneous Accelerators | May 2021 | December 2023 | Allow | 31 | 2 | 0 | Yes | No |
| 17244007 | INFORMATION PROCESSING PROGRAM, INFORMATION PROCESSING APPARATUS, AND INFORMATION PROCESSING METHOD THAT OPTIMIZE ACCESS TO AN EXTERNAL DATABASE | April 2021 | December 2023 | Allow | 32 | 2 | 0 | Yes | No |
| 17240406 | Hardware Resource Allocation System for Allocating Resources to Threads | April 2021 | December 2025 | Allow | 56 | 3 | 0 | Yes | Yes |
| 17208295 | SYNCHRONIZATION OBJECT ISSUE DETECTION USING OBJECT TYPE QUEUES AND ASSOCIATED MONITOR THREADS IN A STORAGE SYSTEM | March 2021 | December 2023 | Allow | 32 | 2 | 0 | Yes | No |
| 17206220 | TASK MANAGEMENT OF LARGE COMPUTING WORKLOADS in A CLOUD SERVICE AGGREGATED FROM DISPARATE, RESOURCE-LIMITED, PRIVATELY CONTROLLED SERVER FARMS | March 2021 | April 2024 | Abandon | 37 | 2 | 0 | No | No |
| 17204099 | VIRTUAL MACHINE MIGRATION USING MULTIPLE, SYNCHRONIZED STREAMS OF STATE DATA | March 2021 | March 2024 | Allow | 36 | 3 | 0 | Yes | No |
| 17202963 | INFORMATION PROCESSING APPARATUS | March 2021 | April 2024 | Abandon | 37 | 1 | 0 | No | No |
| 17201050 | SOFTWARE CONTAINER PRESTART CONFIGURATION | March 2021 | June 2024 | Allow | 39 | 3 | 0 | Yes | No |
| 17198730 | JOB MANAGEMENT BASED ON GENERATED EXECUTION TIME PREDICTION MODEL AND PREDICTION ACCURACY | March 2021 | May 2023 | Allow | 27 | 1 | 0 | Yes | No |
| 17178943 | DEVICE, SYSTEM AND METHOD FOR ASSIGNING PORTIONS OF A GLOBAL RESOURCE LIMIT TO APPLICATION ENGINES BASED ON RELATIVE LOAD | February 2021 | August 2024 | Allow | 42 | 3 | 0 | Yes | No |
| 17123653 | Scheduling of External Block Based Data Processing Tasks on a Hardware Thread Scheduler | December 2020 | March 2024 | Allow | 39 | 3 | 0 | Yes | No |
| 17105720 | TRANSITIONING OF COMPUTER-RELATED SERVICES BASED ON PERFORMANCE CRITERIA WITH FLOW EFFICIENCY VALUE | November 2020 | September 2024 | Allow | 45 | 4 | 0 | Yes | No |
| 17056744 | MULTI-PHASE CLOUD SERVICE NODE ERROR PREDICTION | November 2020 | September 2024 | Allow | 46 | 2 | 0 | Yes | No |
| 17088954 | System and Method for a Self-Optimizing Reservation in Time of Compute Resources | November 2020 | October 2024 | Abandon | 47 | 4 | 0 | No | Yes |
| 17041928 | OPTIMIZED ALLOCATION OF RESOURCES TO NODES OF AN AUTOMATION SYSTEM | September 2020 | August 2024 | Allow | 47 | 2 | 0 | Yes | No |
| 17018913 | Compute Kernel Parsing with Limits in one or more Dimensions | September 2020 | February 2024 | Allow | 41 | 1 | 0 | Yes | No |
| 16947930 | INTENT-BASED TELEMETRY COLLECTION SERVICE WITH SUPPORTED TELEMETRY PROTOCOL IN A VIRTUALIZED COMPUTING INFRASTRUCTURE | August 2020 | March 2024 | Allow | 43 | 3 | 0 | Yes | No |
| 16986568 | SYSTEM AND METHOD FOR ALLOCATION OF RESOURCES WITHIN AN ENVIRONMENT | August 2020 | March 2024 | Abandon | 43 | 3 | 0 | No | No |
| 16966865 | SYSTEMS AND METHODS FOR POST CACHE INTERLOCKING | July 2020 | April 2024 | Abandon | 45 | 1 | 0 | No | No |
| 16884890 | DYNAMIC HYBRID COMPUTING ENVIRONMENT | May 2020 | February 2023 | Allow | 33 | 6 | 0 | Yes | No |
| 16862199 | Systems And Methods For Optimizing Perceived Software Application Load Delays | April 2020 | October 2024 | Abandon | 54 | 4 | 0 | No | No |
| 16850424 | HIGH-SPEED BARRIER SYNCHRONIZATION PROCESSING THAT INCLUDES A PLURALITY OF DIFFERENT PROCESSING STAGES TO BE PROCESSED STEPWISE WITH A PLURALITY OF REGISTERS | April 2020 | September 2023 | Allow | 41 | 2 | 0 | Yes | No |
| 16838441 | Atomic Pool Manager for a Data Pool Using a Memory Slot for Storing a Data Object | April 2020 | May 2021 | Allow | 13 | 2 | 0 | Yes | No |
| 16822490 | Cost-Savings Using Ephemeral Hosts In Infrastructure As A Service Environments Based On Health Score | March 2020 | November 2022 | Allow | 32 | 3 | 0 | Yes | No |
| 16647649 | SYNTHESIZING A RESOURCE REQUEST TO OBTAIN RESOURCE IDENTIFIER BASED ON EXTRACTED UNIFIED MODEL, USER REQUIREMENT AND POLICY REQUIREMENTS TO ALLOCATE RESOURCES | March 2020 | September 2022 | Allow | 30 | 2 | 0 | Yes | No |
| 16816367 | DISTRIBUTED SYSTEM GENERATING RULE COMPILER ENGINE APPARATUSES, METHODS, SYSTEMS AND MEDIA | March 2020 | June 2023 | Allow | 39 | 2 | 0 | Yes | No |
| 16642563 | METHODS AND APPARATUSFOR MANAGING ACCELERATOR IMAGES AND HARDWARE RESOURCES FOR EFFICIENT TASK EXECUTION IN A CLOUD ENVIRONMENT | February 2020 | November 2023 | Abandon | 45 | 4 | 0 | Yes | No |
| 16802186 | METHOD AND SYSTEM FOR PROCESSING TRANSACTIONS USING A TRANSACTION COORDINATOR | February 2020 | October 2021 | Allow | 19 | 1 | 0 | Yes | No |
| 16800024 | AUTOSCALING NODES OF A STATEFUL APPLICATION BASED ON ROLE-BASED AUTOSCALING POLICIES | February 2020 | February 2023 | Allow | 36 | 2 | 0 | Yes | No |
| 16800799 | SYSTEMS AND METHODS FOR PERFORMING MULTIPLICATION OF ONE OR MORE MATRICES USING MULTI-THREAD SYSTOLIC ARRAYS | February 2020 | November 2024 | Allow | 57 | 4 | 0 | Yes | No |
| 16789006 | SCHEDULING ARTIFICIAL INTELLIGENCE MODEL PARTITIONS BASED ON REVERSED COMPUTATION GRAPH | February 2020 | September 2022 | Allow | 31 | 2 | 0 | Yes | No |
| 16786691 | STATE MANAGEMENT METHOD AND APPARATUS FOR VIRTUAL MACHINE, AND SMART TERMINAL THEREOF | February 2020 | October 2022 | Abandon | 32 | 2 | 0 | No | No |
| 16783935 | WAIT OPTIMIZER FOR RECORDING AN ORDER OF FIRST ENTRY INTO A WAIT MODE BY A VIRTUAL CENTRAL PROCESSING UNIT | February 2020 | August 2022 | Allow | 30 | 2 | 0 | Yes | No |
| 16779275 | METHODS AND APPARATUS TO FACILITATE TILE-BASED GPU MACHINE LEARNING ACCELERATION | January 2020 | September 2024 | Allow | 56 | 5 | 0 | Yes | No |
| 16736280 | WORKFLOW PIPELINE OPTIMIZATION BASED ON MACHINE LEARNING OPERATION FOR DETERMINING WAIT TIME BETWEEN SUCCESSIVE EXECUTIONS OF THE WORKFLOW | January 2020 | March 2023 | Allow | 38 | 2 | 0 | Yes | No |
| 16732029 | Iterative Learning Processes for Executing Code of Self-Optimizing Computation Graphs based on Execution Policies | December 2019 | March 2023 | Allow | 38 | 2 | 0 | Yes | No |
| 16710816 | EXPLICIT RESOURCE FILE TO ASSIGN EXACT RESOURCES TO JOB RANKS | December 2019 | October 2025 | Abandon | 60 | 5 | 0 | Yes | Yes |
| 16711059 | Enhanced Resource Planning and Coordination | December 2019 | August 2023 | Abandon | 44 | 4 | 0 | Yes | No |
| 16707274 | INFRASTRUCTURE RESOURCE MAPPING MECHANISM | December 2019 | May 2023 | Allow | 41 | 3 | 0 | Yes | No |
| 16695630 | ELECTRONIC APPARATUS AND CONTROL METHOD OF AN ELECTRONIC APPARATUS PROVIDING AN EXECUTION ENVIRONMENT OF AN APPLICATION THROUGH A VIRTUALIZATION PLATFORM | November 2019 | July 2023 | Abandon | 43 | 4 | 0 | No | No |
| 16687267 | METHODS AND APPARATUS TO AUTOMATE DEPLOYMENTS OF SOFTWARE DEFINED DATA CENTERS BASED ON AUTOMATION PLAN AND USER-PROVIDED PARAMETER VALUES | November 2019 | January 2023 | Allow | 38 | 4 | 0 | Yes | No |
| 16669137 | ADAPTIVE SCHEDULING OF LATENCY-SENSITIVE EVENT-BASED PROCESSORS | October 2019 | February 2022 | Allow | 28 | 3 | 0 | Yes | No |
| 16667816 | METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR MANAGING JOBS IN PROCESSING SYSTEM | October 2019 | January 2023 | Allow | 38 | 2 | 0 | Yes | No |
| 16664747 | SYSTEM AND METHOD FOR IMPROVED HANDLING OF OBJECT READ REQUESTS | October 2019 | September 2021 | Allow | 23 | 8 | 0 | Yes | No |
| 16593985 | ENFORCE CHANGES IN SESSION BEHAVIOR BASED ON SIGNALS DURING SESSION | October 2019 | May 2023 | Allow | 43 | 4 | 0 | Yes | No |
| 16582958 | CACHE COHERENT ACCELERATION FUNCTION VIRTUALIZATION | September 2019 | June 2022 | Allow | 33 | 2 | 0 | Yes | No |
| 16579328 | Resource Management Method and Apparatus | September 2019 | August 2022 | Abandon | 35 | 2 | 0 | No | No |
| 16549886 | AUTOMATIC ASSIGNMENT OF HARDWARE/SOFTWARE RESOURCES TO DIFFERENT ENTITIES USING MACHINE LEARNING BASED ON DETERMINED SCORES FOR ASSIGNMENT SOLUTIONS | August 2019 | July 2023 | Allow | 47 | 4 | 0 | Yes | No |
| 16540896 | ORCHESTRATION AND SCHEDULING OF SERVICES | August 2019 | September 2022 | Allow | 37 | 2 | 0 | Yes | No |
| 16527697 | ALLOCATING CORES TO THREADS RUNNING ON ONE OR MORE PROCESSORS OF A STORAGE SYSTEM | July 2019 | September 2022 | Allow | 38 | 2 | 0 | Yes | No |
| 16513510 | SYSTEMS AND METHODS FOR ORCHESTRATING MICROSERVICE CONTAINERS INTERCONNECTED VIA A SERVICE MESH IN A MULTI-CLOUD ENVIRONMENT BASED ON A REINFORCEMENT LEARNING POLICY | July 2019 | December 2022 | Allow | 41 | 2 | 0 | Yes | No |
| 16504425 | DETERMINING AND IMPLEMENTING RECOVERY ACTIONS FOR CONTAINERS TO RECOVER THE CONTAINERS FROM FAILURES | July 2019 | September 2022 | Allow | 38 | 3 | 0 | Yes | No |
| 16442637 | COMPUTING SYSTEM INCLUDING ENHANCED APPLICATION PERFORMANCE BASED ON LAST COMPLETED OPERATION SEQUENCE VALUE | June 2019 | March 2022 | Allow | 33 | 2 | 0 | Yes | No |
| 16440523 | SYSTEMS AND METHODS FOR CONTROLLING DELIVERY OF NOTIFICATIONS ON A PER USER BASIS | June 2019 | May 2023 | Abandon | 47 | 4 | 0 | Yes | No |
| 16436223 | SERVER AND CONTROL METHOD FOR DEFINING ACCELERATED COMPUTING ENVIRONMENTS BASED ON CODE INFORMATION AND HARDWARE TYPE | June 2019 | February 2022 | Allow | 32 | 3 | 0 | Yes | No |
| 16425881 | SYNCHRONIZATION MECHANISM FOR WORKGROUPS | May 2019 | September 2024 | Allow | 60 | 8 | 0 | Yes | No |
| 16423210 | METHODS AND APPARATUS FOR RACK NESTING IN VIRTUALIZED SERVER SYSTEMS | May 2019 | June 2022 | Allow | 36 | 3 | 0 | Yes | No |
| 16349348 | SYSTEM AND METHOD FOR SORTING DATA ELEMENTS OF SLABS OF REGISTERS USING A PARALLELIZED PROCESSING PIPELINE | May 2019 | April 2023 | Allow | 47 | 5 | 0 | Yes | No |
| 16405742 | SYSTEMS AND METHOD FOR AUTOMATING SECURITY WORKFLOWS IN A DISTRIBUTED SYSTEM USING ENCRYPTED TASK REQUESTS | May 2019 | June 2022 | Allow | 37 | 3 | 0 | Yes | No |
| 16400990 | DETERMINE A LOAD BALANCING MECHANISM FOR ALLOCATION OF SHARED RESOURCES IN A STORAGE SYSTEM BY TRAINING A MACHINE LEARNING MODULE BASED ON NUMBER OF I/O OPERATIONS | May 2019 | August 2021 | Allow | 27 | 1 | 0 | Yes | No |
| 16400985 | DETERMINE A LOAD BALANCING MECHANISM FOR ALLOCATION OF SHARED RESOURCES IN A STORAGE SYSTEM USING A MACHINE LEARNING MODULE BASED ON NUMBER OF I/O OPERATIONS | May 2019 | August 2021 | Allow | 27 | 1 | 0 | Yes | No |
| 16399767 | RESOURCE DISTRIBUTION INSTRUMENTS WITH EMBEDDED CODES OR COMMUNICATION DEVICES | April 2019 | November 2022 | Abandon | 42 | 4 | 0 | No | No |
| 16399625 | METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR SELECTING COMPUTING RESOURCES FOR PROCESSING COMPUTING TASK BASED ON PROCESSING PERFORMANCE | April 2019 | December 2021 | Allow | 32 | 3 | 0 | Yes | No |
| 16399402 | METHOD TO DETECT AND EXCLUDE ORPHANED VIRTUAL MACHINES FROM BACKUP | April 2019 | March 2022 | Allow | 34 | 4 | 0 | Yes | No |
| 16394063 | AGGREGATED VIRTUALIZED COMPUTE ACCELERATORS FOR ASSIGNMENT OF COMPUTE KERNELS | April 2019 | May 2022 | Allow | 36 | 3 | 0 | Yes | No |
| 16343389 | DEVELOPMENT OF EMBEDDED TYPE DEVICES AND RUNNING METHOD FOR EMBEDDED TYPE VIRTUAL DEVICE AND SYSTEM | April 2019 | August 2020 | Abandon | 16 | 2 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner XU, ZUJIA.
With a 75.0% 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, 50.0% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is in the top 25% across the USPTO, indicating that filing appeals is particularly effective here. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
✓ 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 XU, ZUJIA works in Art Unit 2195 and has examined 146 patent applications in our dataset. With an allowance rate of 70.5%, this examiner has a below-average tendency to allow applications. Applications typically reach final disposition in approximately 39 months.
Examiner XU, ZUJIA's allowance rate of 70.5% places them in the 33% percentile among all USPTO examiners. This examiner has a below-average tendency to allow applications.
On average, applications examined by XU, ZUJIA receive 2.95 office actions before reaching final disposition. This places the examiner in the 85% 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 XU, ZUJIA is 39 months. This places the examiner in the 26% percentile for prosecution speed. Prosecution timelines are slightly slower than average with this examiner.
Conducting an examiner interview provides a +86.6% benefit to allowance rate for applications examined by XU, ZUJIA. This interview benefit is in the 100% percentile among all examiners. Recommendation: Interviews are highly effective with this examiner and should be strongly considered as a prosecution strategy. Per MPEP § 713.10, interviews are available at any time before the Notice of Allowance is mailed or jurisdiction transfers to the PTAB.
When applicants file an RCE with this examiner, 29.4% of applications are subsequently allowed. This success rate is in the 56% percentile among all examiners. Strategic Insight: RCEs show above-average effectiveness with this examiner. Consider whether your amendments or new arguments are strong enough to warrant an RCE versus filing a continuation.
This examiner enters after-final amendments leading to allowance in 9.0% of cases where such amendments are filed. This entry rate is in the 9% 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, 50.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 43% percentile among all examiners. Note: Pre-appeal conferences show below-average success with this examiner. Consider whether your arguments are strong enough to warrant a PAC request.
This examiner withdraws rejections or reopens prosecution in 50.0% of appeals filed. This is in the 16% percentile among all examiners. Of these withdrawals, 25.0% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner rarely withdraws rejections during the appeal process compared to other examiners. If you file an appeal, be prepared to fully prosecute it to a PTAB decision. Per MPEP § 1207, the examiner will prepare an Examiner's Answer maintaining the rejections.
When applicants file petitions regarding this examiner's actions, 66.7% are granted (fully or in part). This grant rate is in the 72% percentile among all examiners. Strategic Note: Petitions show above-average success regarding this examiner's actions. Petitionable matters include restriction requirements (MPEP § 1002.02(c)(2)) and various procedural issues.
Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 13% 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 15% 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.