Listed by the USPTO as LEE, TSU-CHANG
Tech Center 4100 • Art Units: 2121 2122 2123 2126 2127 2128 2129 2148 3792 4100
This examiner grants 73% of resolved cases
Tsu-Chang Lee is an examiner in Tech Center 4100 and Art Unit 2121. He has managed 434 resolved cases. The data shows a 72.8% allowance rate and a median pendency of 1298 days to allowance. A 13.6% interview lift indicates that conducting an interview is associated with an increase in the probability of allowance compared to the 72.8% baseline. This lift suggests that oral advocacy is a useful strategy for practitioners appearing before this examiner.
The top companies in this examiner's portfolio include Samsung Electronics Co., Ltd., International Business Machines Corporation, and Dell Products L.P. Legal representation is often provided by firms such as HARNESS, DICKEY & PIERCE, P.L.C., Akona IP PC - Intel, and AMPACC Law Group, PLLC. The 1298 median days to allowance provides a benchmark for expected prosecution duration. Practitioners should utilize the 13.6% interview lift to improve the chances of a successful outcome. With 434 resolved cases, the examiner has a record of outcomes in Art Unit 2121.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18642167 | METHOD AND APPARATUS WITH FEATURE-LEVEL ENSEMBLE MODEL | Non-Final OA | Samsung Electronics Co., Ltd. |
| 18468351 | LEARNING DATA GENERATION METHOD, LEARNING DATA GENERATION SYSTEM, AND COUNTERFEIT DETECTION SYSTEM | Non-Final OA | Samsung Electronics Co., Ltd. |
| 18299342 | Co-attentive Fusion with Unified Label Graph Representation for Low-resource Text Classification | Non-Final OA | Robert Bosch GmbH |
| 18627189 | DETERMINING GENERALIZATION OF BEHAVIOR-CLONED POLICIES | Non-Final OA | TOYOTA RESEARCH INSTITUTE, INC. |
| 18515665 | CAUSAL ANALYSIS | Final Rejection | NEC CORPORATION |
| 18813211 | ARTIFICIAL INTELLIGENCE ALGORITHM MODEL OBTAINING METHOD AND APPARATUS | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 18650164 | COMPUTER-READABLE RECORDING MEDIUM STORING PROGRAM, DATA PROCESSING APPARATUS, AND DATA PROCESSING METHOD | Non-Final OA | Fujitsu Limited |
| 18781848 | HIGH-FIDELITY MEASUREMENT OF BOSONIC MODES | Non-Final OA | Amazon Technologies, Inc. |
| 18761714 | DYNAMIC PRUNING OF NEURONS ON-THE-FLY TO ACCELERATE NEURAL NETWORK INFERENCES | Non-Final OA | Intel Corporation |
| 18477171 | PREDICTING DEPOSITIONAL ENVIRONMENTS USING WIRELINE LOGS, CORE INTERPRETATION, AND MACHINE LEARNING | Non-Final OA | Saudi Arabian Oil Company |
| 18503606 | TECHNIQUES FOR ENABLING ON-DEVICE INK STROKE PROCESSING | Non-Final OA | Microsoft Technology Licensing, LLC |
| 18572100 | METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR PROVIDING AN ATTENTION BLOCK FOR NEURAL NETWORK-BASED IMAGE AND VIDEO COMPRESSION | Non-Final OA | Nokia Technologies Oy |
| 18230138 | AUTOMATIC DECOMPOSITION METHOD FOR MDP | Final Rejection | International Business Machines Corporation |
| 18214406 | COGNITIVE FRAMEWORK FOR NON-FUNCTIONAL REQUIREMENT BASED TECHNICAL DISPOSITION | Non-Final OA | International Business Machines Corporation |
| 18448049 | TRAINING MACHINE LEARNING MODELS USING SIMULATION FOR ROBOTICS SYSTEMS AND APPLICATIONS | Non-Final OA | NVIDIA CORPORATION |
| 18233971 | CLASSIFYING FAILURE MODES OF LARGE LANGUAGE MODELS (LLMS) FOR COMPUTER NETWORK ANALYTICS | Final Rejection | Cisco Technology, Inc. |
| 18315752 | SYSTEMS AND METHODS FOR TRAINING AND USING A MACHINE-LEARNING MODEL FOR DETERMINING THE SIMILARITY OF ENTITIES | Final Rejection | SHOPIFY INC. |
| 18605666 | ORCHESTRATING QUBO-BASED ML MODELS ON MULTIPLE ANNEALERS TO MITIGATE OVERFITTING | Final Rejection | Dell Products L.P. |
| 18436232 | NEURAL NETWORK INTRUSION DETECTION SYSTEM IN EDGE SYSTEM | Non-Final OA | Dell Products L.P. |
| 18424024 | FINETUNING FOR MULTI-TASK LEARNING | Non-Final OA | Mobileye Vision Technologies Ltd. |
| 18586346 | PERSONALIZED NEUROSTIMULATION CLOSED LOOP PROGRAMMING TRAINING INTERFACE | Non-Final OA | Boston Scientific Neuromodulation Corporation |
| 18299345 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM | Non-Final OA | Ajinomoto Co., Inc. |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy72.8% of resolved applications examined by Tsu-Chang Lee were allowed (434 resolved cases), compared with 32.0% across Art Unit 2121 over the last five years.
This examiner's interview lift is +13.6 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Tsu-Chang Lee took 1,298 days on average from filing to allowance.
Tsu-Chang Lee examines applications in Art Unit 2121 in Tech Center 4100.
