Listed by the USPTO as WENG, PEI YONG
Tech Center 4100 • Art Units: 2124 2126 2141 2173 2179 4100
This examiner grants 80% of resolved cases
WENG, PEI YONG is a USPTO patent examiner in Tech Center 4100 and Art Unit 2124. The record covers 649 resolved cases and a 79.5% allowance rate. The median time to allowance is 1136 days. Interviews have a 22.7% lift, giving applicants a meaningful opportunity to improve an already favorable baseline. An interview may be most useful when the dispute turns on how a complex software or computing feature is mapped to the prior art.
The leading companies are International Business Machines Corporation, Fujitsu Limited, and Microsoft Technology Licensing, LLC. The leading firms are Harrity & Harrity, LLP, BIRCH STEWART KOLASCH & BIRCH, LLP, and Bridgeway IP Law Group, PLLC. The company mix reflects enterprise computing and software. Practitioners should coordinate technical explanations, claim amendments, and written support around the central inventive concept.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18366273 | MACHINE LEARNING BASED UPDATES OF DOMAIN SPECIFIC LANGUAGE PARAMETERS | Final Rejection | Capital One Services, LLC |
| 18456777 | DATA MODEL DEVELOPMENT STANDARDIZATION | Non-Final OA | Wells Fargo Bank, N.A. |
| 18629917 | ENSURING THAT LANGUAGE MODELS FOLLOW INSTRUCTIONS INDICATED IN PROMPTS | Non-Final OA | Oracle International Corporation |
| 18724528 | Method for Obfuscating Device Functionality | Non-Final OA | Google LLC |
| 18832227 | INFERENCE APPARATUS, INFERENCE METHOD, AND STORAGE MEDIUM | Non-Final OA | NEC Corporation |
| 18724926 | METHODS AND SYSTEMS FOR PREDICTING PHENOTYPE | Non-Final OA | PIONEER HI-BRED INTERNATIONAL, INC. |
| 18597011 | Federated Learning Method and Related Device | Final Rejection | Huawei Technologies Co., Ltd. |
| 18755797 | COMPUTER-READABLE RECORDING MEDIUM STORING ACTIVE LEARNING PROGRAM, METHOD, AND APPARATUS | Non-Final OA | Fujitsu Limited |
| 18590724 | NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM STORING MACHINE LEARNING PROGRAM, MACHINE LEARNING METHOD, AND MACHINE LEARNING APPARATUS | Non-Final OA | FUJITSU LIMITED |
| 18658147 | Camera Sensor with Shared Pixel Weighting | Non-Final OA | Wisconsin Alumni Research Foundation |
| 18238337 | CONTROL DEVICE, CONTROL SYSTEM, CONTROL METHOD, AND COMPUTER READABLE MEDIUM STORING CONTROL PROGRAM | Final Rejection | Mitsubishi Electric Corporation |
| 18538230 | PREDICTIVE CONTROL OF ROBOTIC MANIPULATOR FOR A CATHETER | Final Rejection | Siemens Medical Solutions USA, Inc. |
| 18733226 | GENERATING SMALL LANGUAGE MODEL VIA TWO-PHASE TRAINING | Non-Final OA | Microsoft Technology Licensing, LLC |
| 18292368 | IDENTIFIABLE GENERATIVE MODELS FOR MISSING NOT AT RANDOM DATA IMPUTATION | Final Rejection | Microsoft Technology Licensing, LLC |
| 18589947 | INFORMATION PROCESSING METHOD, INFORMATION PROCESSING APPARATUS, AND INFORMATION PROCESSING SYSTEM | Non-Final OA | Tokyo Electron Limited |
| 18538271 | FINE-TUNING AN AI MODEL | Final Rejection | International Business Machines Corporation |
| 18536390 | CONTINUAL NEURAL NETWORK TRAINING IN AN EDGE COMPUTING ENVIRONMENT | Final Rejection | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18526120 | REINFORCEMENT LEARNING BASED TRANSPILATION OF QUANTUM CIRCUITS | Final Rejection | International Business Machines Corporation |
| 18509395 | DATA AUGMENTATION USING DIFFERENT IN-DOMAIN DATA | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18780911 | REINFORCEMENT LEARNING METHOD APPLYING TODDLER-INSPIRED SEQUENTIAL REWARD TRANSITION, AND REINFORCEMENT LEARNING APPARATUS PERFORMING THE SAME | Non-Final OA | SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION |
| 18759938 | SYSTEM AND METHOD FOR QUESTION-RESPONSE GENERATION USING GRAPH NEURAL NETWORKS CONSTRAINT UNDER BEAM SEARCH | Non-Final OA | Dell Products L.P. |
| 18604891 | Data Center Monitoring And Management Operation Including An Asset Utilization Forecast Operation Including a Feature Clustering Operation | Non-Final OA | Dell Products L.P. |
| 18732251 | AUTOMATED SELF-SUPERVISED MACHINE LEARNING SERVICES THROUGH UNIFIED MACHINE LEARNING ENABLERS | Non-Final OA | STRIPE, INC. |
| 18775085 | Predicting Rates of Hypoglycemia by a Machine Learning System | Non-Final OA | Sanofi |
| 18775116 | Predicting Rates of Hypoglycemia by a Machine Learning System | Non-Final OA | Sanofi |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy79.5% of resolved applications examined by Pei Yong Weng were allowed (649 resolved cases), compared with 63.1% across Art Unit 2124 over the last five years.
This examiner's interview lift is +22.7 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Pei Yong Weng took 1,136 days on average from filing to allowance.
Pei Yong Weng examines applications in Art Unit 2124 in Tech Center 4100.
