Prosecution Insights
Last updated: October 02, 2026

Examiner: HUANG, YAO D

Tech Center 2100 • Art Units: 2124 2128 2165

This examiner grants 64% of resolved cases

Analysis

Yao D. Huang is an examiner in Tech Center 2100 and Art Unit 2124. The examiner has 136 resolved cases. This history of resolutions provides a good basis for understanding the examiner's approach and the likely outcomes for patent applications.

The allowance rate for this examiner is 64.0 percent. The interview lift is 33.6 percent. This lift indicates that interviews are a beneficial strategy, providing a significant increase in the probability of allowance over the 64.0 percent baseline. Practitioners should consider the 33.6 percent lift as a strong reason to engage in direct communication with the examiner.

The median days to allowance is 1481. This figure represents the middle of the timeline for successful applications. Applicants should plan for a prosecution period of 1481 days. By utilizing the 33.6 percent interview lift, practitioners can more effectively navigate the 64.0 percent allowance rate to reach a grant within the 1481-day median timeframe.

Written from this page's own data; every figure is computed from USPTO records and verified before publication.

Performance Statistics

64.5%
Allow Rate
+9.5% vs TC avg
150
Total Applications
+32.5%
Interview Lift
1480
Avg Prosecution Days
Based on 138 resolved cases, 2023–2026

Rejection Statute Breakdown

16.0%
§101 Eligibility
10.2%
§102 Novelty
48.6%
§103 Obviousness
22.9%
§112 Clarity

Currently Pending Office Actions

App #TitleStatusAssignee
17571870 APPARATUS AND METHOD WITH NEURAL PROCESSING Final Rejection SAMSUNG ELECTRONICS CO., LTD.
18017598 CONFIGURATION CONSIDERATIONS FOR CHANNEL STATE INFORMATION Final Rejection QUALCOMM Incorporated
17703569 INFORMATION PROCESSING APPARATUS, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM, AND INFORMATION PROCESSING METHOD Final Rejection Mitsubishi Electric Corporation
17563812 TRAINING A MACHINE LEARNING-BASED MODEL FOR ACTION RECOGNITION Non-Final OA Sony Group Corporation
18623785 TRAINING ML MODELS VIA REINFORCEMENT LEARNING FROM HUMAN FEEDBACK (RLHF) USING EMOTION DETECTION Non-Final OA Sony Interactive Entertainment Inc.
18197224 OBJECTIVE FUNCTION OPTIMIZATION IN TARGET BASED HYPERPARAMETER TUNING Non-Final OA Oracle International Corporation
18421688 SINGULARLY ADAPTIVE DIGITAL CONTENT GENERATION Non-Final OA INTUIT INC.
18617074 NEURAL NETWORKS FOR COLLISION DETECTION Non-Final OA Allstate Insurance Company
18754726 DISTRIBUTIONAL REINFORCEMENT LEARNING Final Rejection DeepMind Technologies Limited

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