Prosecution Insights
Prosecution Insights
Tech Center 2100 • Art Units: 2143 2156
This examiner grants 45% of resolved cases
Quoc Ly Phu Phung is an examiner in Tech Center 2100 and Art Unit 2143, with 31 resolved cases. The allowance rate is 45.2%, which suggests a more challenging examination environment. This 45.2% rate indicates that fewer than half of the applications reach allowance under standard prosecution. The median days to allowance is 1560, reflecting a long timeline of over four years for successful cases.
The most striking metric is the interview lift of 94.4%. This exceptionally high figure suggests that interviews are almost essential for securing an allowance with this examiner. The 94.4% lift indicates that applications are far more likely to succeed after an interview than through written prosecution alone. Practitioners should prioritize oral advocacy to navigate the 45.2% baseline allowance rate and the 1560-day median pendency. These 31 cases highlight a clear strategic path: interviews are the primary driver of success in this docket.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18595678 | NODE, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING SYSTEM | Non-Final OA | RICOH COMPANY, LTD. |
| 17701257 | METHOD AND SYSTEM FOR SMOOTH TRAINING OF A QUANTIZED NEURAL NETWORK | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 18641257 | INFORMATION RETRIEVAL USING MULTIVARIATE DISTRIBUTIONS | Non-Final OA | Google LLC |
| 17191777 | DATA PROCESSING APPARATUS, DATA PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM | Final Rejection | CANON KABUSHIKI KAISHA |
| 18641227 | ANALYZING PROMPTS TO DETERMINE LABELS FOR AUTOMATED GENERATIVE ARTIFICIAL INTELLIGENCE LABELING | Non-Final OA | Capital One Services, LLC |
| 17544506 | SYSTEM AND METHOD OF USING NEUROEVOLUTION-ENHANCED MULTI-OBJECTIVE OPTIMIZATION FOR MIXED-PRECISION QUANTIZATION OF DEEP NEURAL NETWORKS | Non-Final OA | Intel Corporation |
| 17649471 | SYSTEMS AND METHODS FOR FEDERATED LEARNING USING PEER-TO-PEER NETWORKS | Non-Final OA | JPMORGAN CHASE BANK , N.A. |
| 17863433 | COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN MACHINE LEARNING PROGRAM, METHOD FOR MACHINE LEARNING, AND INFORMATION PROCESSING APPARATUS | Final Rejection | FUJITSU LIMITED |
| 17581993 | METHOD OF OUTPUTTING EXPLANATORY INFORMATION AND INFORMATION PROCESSING APPARATUS | Non-Final OA | FUJITSU LIMITED |
| 17468028 | NEURAL NETWORK PREDICTION USING TRAJECTORY MODELING | Final Rejection | Microsoft Technology Licensing, LLC |
| 17481298 | DISTRIBUTED SENSING AND CLASSIFICATION | Non-Final OA | International Business Machines Corporation |
| 18429241 | Generating Analytic Asset Recommendations Using Graph Neural Networks | Non-Final OA | Salesforce, Inc. |
| 18640582 | Next generation Artificial intelligence agents | Non-Final OA | Zscaler, Inc. |
| 17513647 | HYBRID MODEL FOR CASE COMPLEXITY CLASSIFICATION | Final Rejection | Hewlett Packard Enterprise Development LP |
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