Search

Li Wu Chang

Examiner (ID: 9239, Phone: (571)270-3809 , Office: P/2124 )

Most Active Art Unit
2124
Art Unit(s)
2129, 2124, 2142
Total Applications
892
Issued Applications
743
Pending Applications
55
Abandoned Applications
120

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 20152470 [patent_doc_number] => 20250252308 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-08-07 [patent_title] => METHOD FOR CONVERTING NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 19/035231 [patent_app_country] => US [patent_app_date] => 2025-01-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 50349 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 113 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 19035231 [rel_patent_id] =>[rel_patent_doc_number] =>)
19/035231
METHOD FOR CONVERTING NEURAL NETWORK Jan 22, 2025 Pending
Array ( [id] => 20152470 [patent_doc_number] => 20250252308 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-08-07 [patent_title] => METHOD FOR CONVERTING NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 19/035231 [patent_app_country] => US [patent_app_date] => 2025-01-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 50349 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 113 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 19035231 [rel_patent_id] =>[rel_patent_doc_number] =>)
19/035231
METHOD FOR CONVERTING NEURAL NETWORK Jan 22, 2025 Pending
Array ( [id] => 19905848 [patent_doc_number] => 12282857 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2025-04-22 [patent_title] => Relative margin for contrastive learning [patent_app_type] => utility [patent_app_number] => 18/900506 [patent_app_country] => US [patent_app_date] => 2024-09-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 1332 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 384 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18900506 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/900506
Relative margin for contrastive learning Sep 26, 2024 Issued
Array ( [id] => 19451381 [patent_doc_number] => 20240311511 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-09-19 [patent_title] => AUTOENCODER-BASED INFORMATION CONTENT PRESERVING DATA ANONYMIZATION SYSTEM [patent_app_type] => utility [patent_app_number] => 18/669133 [patent_app_country] => US [patent_app_date] => 2024-05-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6268 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 2 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18669133 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/669133
AUTOENCODER-BASED INFORMATION CONTENT PRESERVING DATA ANONYMIZATION SYSTEM May 19, 2024 Pending
Array ( [id] => 19558921 [patent_doc_number] => 20240370713 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-11-07 [patent_title] => SIMPLIFICATION OF SPIKING NEURAL NETWORK MODELS [patent_app_type] => utility [patent_app_number] => 18/632704 [patent_app_country] => US [patent_app_date] => 2024-04-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8141 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 2 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18632704 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/632704
SIMPLIFICATION OF SPIKING NEURAL NETWORK MODELS Apr 10, 2024 Pending
Array ( [id] => 19320949 [patent_doc_number] => 20240242494 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-07-18 [patent_title] => FUSION MODEL TRAINING USING DISTANCE METRICS [patent_app_type] => utility [patent_app_number] => 18/623923 [patent_app_country] => US [patent_app_date] => 2024-04-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4241 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => 0 [patent_words_short_claim] => 153 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18623923 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/623923
FUSION MODEL TRAINING USING DISTANCE METRICS Mar 31, 2024 Pending
Array ( [id] => 20087763 [patent_doc_number] => 20250217699 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-07-03 [patent_title] => NETWORK-ACCESSIBLE MACHINE LEARNING MODEL TRAINING AND HOSTING SYSTEM [patent_app_type] => utility [patent_app_number] => 18/615976 [patent_app_country] => US [patent_app_date] => 2024-03-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9283 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 2 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18615976 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/615976
NETWORK-ACCESSIBLE MACHINE LEARNING MODEL TRAINING AND HOSTING SYSTEM Mar 24, 2024 Pending
Array ( [id] => 19544701 [patent_doc_number] => 20240361737 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-10-31 [patent_title] => Context Driven Routine Prediction Assistance [patent_app_type] => utility [patent_app_number] => 18/604152 [patent_app_country] => US [patent_app_date] => 2024-03-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7466 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -8 [patent_words_short_claim] => 184 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18604152 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/604152
Context Driven Routine Prediction Assistance Mar 12, 2024 Issued
Array ( [id] => 19544701 [patent_doc_number] => 20240361737 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-10-31 [patent_title] => Context Driven Routine Prediction Assistance [patent_app_type] => utility [patent_app_number] => 18/604152 [patent_app_country] => US [patent_app_date] => 2024-03-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7466 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -8 [patent_words_short_claim] => 184 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18604152 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/604152
Context Driven Routine Prediction Assistance Mar 12, 2024 Issued
Array ( [id] => 19252136 [patent_doc_number] => 20240203132 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-06-20 [patent_title] => GROUP OF NEURAL NETWORKS ENSURING INTEGRITY [patent_app_type] => utility [patent_app_number] => 18/594532 [patent_app_country] => US [patent_app_date] => 2024-03-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 33186 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 106 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18594532 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/594532
GROUP OF NEURAL NETWORKS ENSURING INTEGRITY Mar 3, 2024 Pending
Array ( [id] => 19238669 [patent_doc_number] => 20240195864 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-06-13 [patent_title] => CORRELATIONS BETWEEN WORKLOAD CHARACTERISTICS AND ELAPSED TIMES [patent_app_type] => utility [patent_app_number] => 18/418424 [patent_app_country] => US [patent_app_date] => 2024-01-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8469 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 2 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18418424 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/418424
Correlations between workload characteristics and elapsed times Jan 21, 2024 Issued
Array ( [id] => 19238669 [patent_doc_number] => 20240195864 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-06-13 [patent_title] => CORRELATIONS BETWEEN WORKLOAD CHARACTERISTICS AND ELAPSED TIMES [patent_app_type] => utility [patent_app_number] => 18/418424 [patent_app_country] => US [patent_app_date] => 2024-01-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8469 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 2 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18418424 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/418424
Correlations between workload characteristics and elapsed times Jan 21, 2024 Issued
Array ( [id] => 19238669 [patent_doc_number] => 20240195864 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-06-13 [patent_title] => CORRELATIONS BETWEEN WORKLOAD CHARACTERISTICS AND ELAPSED TIMES [patent_app_type] => utility [patent_app_number] => 18/418424 [patent_app_country] => US [patent_app_date] => 2024-01-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8469 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 2 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18418424 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/418424
Correlations between workload characteristics and elapsed times Jan 21, 2024 Issued
Array ( [id] => 19558937 [patent_doc_number] => 20240370729 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-11-07 [patent_title] => MACHINE LEARNING THROUGH MULTIPLE LAYERS OF NOVEL MACHINE TRAINED PROCESSING NODES [patent_app_type] => utility [patent_app_number] => 18/407173 [patent_app_country] => US [patent_app_date] => 2024-01-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10071 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -2 [patent_words_short_claim] => 2 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18407173 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/407173
MACHINE LEARNING THROUGH MULTIPLE LAYERS OF NOVEL MACHINE TRAINED PROCESSING NODES Jan 7, 2024 Pending
Array ( [id] => 20243301 [patent_doc_number] => 12423622 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-09-23 [patent_title] => Generative machine learning systems for generating structural information regarding chemical compound [patent_app_type] => utility [patent_app_number] => 18/394019 [patent_app_country] => US [patent_app_date] => 2023-12-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 20 [patent_figures_cnt] => 21 [patent_no_of_words] => 17352 [patent_no_of_claims] => 29 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 161 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18394019 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/394019
Generative machine learning systems for generating structural information regarding chemical compound Dec 21, 2023 Issued
Array ( [id] => 20243301 [patent_doc_number] => 12423622 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-09-23 [patent_title] => Generative machine learning systems for generating structural information regarding chemical compound [patent_app_type] => utility [patent_app_number] => 18/394019 [patent_app_country] => US [patent_app_date] => 2023-12-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 20 [patent_figures_cnt] => 21 [patent_no_of_words] => 17352 [patent_no_of_claims] => 29 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 161 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18394019 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/394019
Generative machine learning systems for generating structural information regarding chemical compound Dec 21, 2023 Issued
Array ( [id] => 19686870 [patent_doc_number] => 20250005415 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-01-02 [patent_title] => DEVICES AND METHODS FOR CAVITY-BASED COMPUTING [patent_app_type] => utility [patent_app_number] => 18/521970 [patent_app_country] => US [patent_app_date] => 2023-11-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 45524 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 2 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18521970 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/521970
DEVICES AND METHODS FOR CAVITY-BASED COMPUTING Nov 27, 2023 Pending
Array ( [id] => 19387371 [patent_doc_number] => 20240277241 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-08-22 [patent_title] => SYSTEMS, APPARATUSES AND METHODS FOR SENSING FETAL ACTIVITY [patent_app_type] => utility [patent_app_number] => 18/519123 [patent_app_country] => US [patent_app_date] => 2023-11-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6991 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 299 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18519123 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/519123
SYSTEMS, APPARATUSES AND METHODS FOR SENSING FETAL ACTIVITY Nov 26, 2023 Abandoned
Array ( [id] => 20160473 [patent_doc_number] => 12387105 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-08-12 [patent_title] => Executing a genetic algorithm on a low-power controller [patent_app_type] => utility [patent_app_number] => 18/520192 [patent_app_country] => US [patent_app_date] => 2023-11-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 11 [patent_no_of_words] => 9430 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 175 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18520192 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/520192
Executing a genetic algorithm on a low-power controller Nov 26, 2023 Issued
Array ( [id] => 19387371 [patent_doc_number] => 20240277241 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-08-22 [patent_title] => SYSTEMS, APPARATUSES AND METHODS FOR SENSING FETAL ACTIVITY [patent_app_type] => utility [patent_app_number] => 18/519123 [patent_app_country] => US [patent_app_date] => 2023-11-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6991 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 299 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18519123 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/519123
SYSTEMS, APPARATUSES AND METHODS FOR SENSING FETAL ACTIVITY Nov 26, 2023 Abandoned
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