Listed by the USPTO as TRAN, DAVID HOANG
Tech Center 2600 • Art Units: 2100 2121 2147 2666
This examiner grants 22% of resolved cases
TRAN, DAVID HOANG handles cases in tech center 2600 and art unit 2100. Across 23 resolved cases, the allowance rate is 21.7% and the interview lift is 24.1%. The median time to allowance is 1654 days. The record shows a lower observed allowance measure, a positive interview association, and an extended stated timeline, but its limited size constrains broad forecasting.
The recurring companies are International Business Machines Corporation, Visa International Service Association, and NVIDIA Corporation. The leading firms are CHIP LAW GROUP, KHMRG (NVIDIA), and BANNER & WITCOFF, LTD. These participants place the profile in a computing and financial-technology context where focused claim and interview preparation may be useful.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18239416 | SUPERVISED MODEL SELECTION VIA DIVERSITY CRITERIA | Final Rejection | Oracle International Corporation |
| 17317806 | SYSTEMS AND METHODS FOR IDENTIFYING MANUFACTURING DEFECTS | Non-Final OA | Samsung Display Co., Ltd. |
| 18727761 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING SYSTEM, COMPUTER-READABLE RECORDING MEDIUM, AND INFORMATION PROCESSING METHOD | Non-Final OA | SONY SEMICONDUCTOR SOLUTIONS CORPORATION |
| 17360459 | Neural Network System and Data Processing Technology | Non-Final OA | Huawei Technologies Co., Ltd. |
| 17448575 | SYSTEMS AND METHODS FOR DETERMINING CAUSE OF PERFORMANCE CHANGE USING MACHINE LEARNING TECHNIQUES | Non-Final OA | Fidelity Information Services, LLC |
| 18431458 | METHODS AND APPARATUS FOR DISCRIMINATIVE SEMANTIC TRANSFER AND PHYSICS-INSPIRED OPTIMIZATION OF FEATURES IN DEEP LEARNING | Non-Final OA | Intel Corporation |
| 17649578 | System and Method for Automated Transfer Learning with Domain Disentanglement | Non-Final OA | Mitsubishi Electric Research Laboratories, Inc. |
| 17576724 | SUBCOMPONENT MODEL TRAINING | Final Rejection | salesforce.com, inc. |
| 18418624 | MOE MODEL FROM BLOCK SPARSE COMPUTATION'S POINT OF VIEW | Non-Final OA | TENCENT AMERICA LLC |
| 18194729 | RESOURCE-EFFICIENT PULSE-BASED VARIATIONAL QUANTUM ALGORITHM | Final Rejection | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 17568209 | TRANSFER LEARNING THROUGH COMPOSITE MODEL SLICING | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 17357082 | DYNAMIC CONTAINER CREATION BASED ON IDENTIFIED CONTEXTUAL NEED | Non-Final OA | International Business Machines Corporation |
| 17134416 | ANNOTATION QUALITY GRADING OF MACHINE LEARNING TRAINING SETS | Final Rejection | International Business Machines Corporation |
| 17505384 | IMAGE GENERATION USING ONE OR MORE NEURAL NETWORKS | Final Rejection | Nvidia Corporation |
| 17211687 | LATENT-VARIABLE GENERATIVE MODEL WITH A NOISE CONTRASTIVE PRIOR | Final Rejection | NVIDIA CORPORATION |
| 16928888 | INTENT-BASED COMMAND RECOMMENDATION GENERATION IN AN ANALYTICS SYSTEM | Final Rejection | ADOBE INC. |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy21.7% of resolved applications examined by David Hoang Tran were allowed (23 resolved cases), compared with 38.8% across Art Unit 2100 over the last five years.
This examiner's interview lift is +24.1 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by David Hoang Tran took 1,654 days on average from filing to allowance.
David Hoang Tran examines applications in Art Unit 2100 in Tech Center 2600 (Communications).
