Listed by the USPTO as HUANG, YAO D
Tech Center 2100 • Art Units: 2124 2128 2165
This examiner grants 64% of resolved cases
Examiner YAO D HUANG works in Tech Center 2100 and Art Unit 2124. The examiner has 138 resolved cases and an allowance rate of 64.5%. The interview lift is 32.5%, which suggests that direct communication is a highly effective way to move cases toward allowance. The median days to allowance is 1480. This timeline provides a specific expectation for applicants navigating Art Unit 2124.
Top companies in this portfolio include NVIDIA Corporation, Samsung Electronics Co., Ltd., and Sony Group Corporation. These applicants are frequently represented by firms such as BIRCH STEWART KOLASCH & BIRCH, LLP, Harrity & Harrity, LLP, and KHMRG (NVIDIA). Because the interview lift is 32.5%, practitioners should prioritize interviews to resolve outstanding issues. The 64.5% allowance rate remains a primary benchmark for success in this examiner's resolved cases. The 138 cases provide a substantial data set for predicting future prosecution outcomes.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17571870 | APPARATUS AND METHOD WITH NEURAL PROCESSING | Final Rejection | SAMSUNG ELECTRONICS CO., LTD. |
| 18197224 | OBJECTIVE FUNCTION OPTIMIZATION IN TARGET BASED HYPERPARAMETER TUNING | Non-Final OA | Oracle International Corporation |
| 18623785 | TRAINING ML MODELS VIA REINFORCEMENT LEARNING FROM HUMAN FEEDBACK (RLHF) USING EMOTION DETECTION | Non-Final OA | Sony Interactive Entertainment Inc. |
| 18617095 | MODEL TRAINING METHOD AND RELATED DEVICE | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 18422548 | CLOSEST CORRELATION METHOD (CCM) FOR MULTICLASS CLASSIFICATION | Non-Final OA | KONINKLIJKE PHILIPS N.V. |
| 17703569 | INFORMATION PROCESSING APPARATUS, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM, AND INFORMATION PROCESSING METHOD | Final Rejection | Mitsubishi Electric Corporation |
| 17737888 | NEURAL NETWORK TRAINING BASED ON CAPABILITY | Final Rejection | NVIDIA Corporation |
| 17393246 | NEURAL NETWORK LOOP DETECTION | Non-Final OA | NVIDIA Corporation |
| 18779625 | EFFICIENT INCREMENTAL LEARNING THROUGH PROBABILISTIC TRAINING SET SELECTION | Non-Final OA | Ford Global Technologies, LLC |
| 18617074 | NEURAL NETWORKS FOR COLLISION DETECTION | Non-Final OA | Allstate Insurance Company |
| 18754726 | DISTRIBUTIONAL REINFORCEMENT LEARNING | Final Rejection | DeepMind Technologies Limited |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy64.5% of resolved applications examined by Yao D Huang were allowed (138 resolved cases), compared with 63.1% across Art Unit 2124 over the last five years.
This examiner's interview lift is +32.5 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Yao D Huang took 1,480 days on average from filing to allowance.
Yao D Huang examines applications in Art Unit 2124 in Tech Center 2100 (Computing & Software).
