
Li Wu Chang
Examiner (ID: 335, Phone: (571)270-3809 , Office: P/2124 )
| Most Active Art Unit | 2124 |
| Art Unit(s) | 2142, 2129, 2124 |
| Total Applications | 877 |
| Issued Applications | 744 |
| Pending Applications | 34 |
| Abandoned Applications | 120 |
Applications
| Application number | Title of the application | Filing Date | Status |
|---|---|---|---|
Array
(
[id] => 19523223
[patent_doc_number] => 12124954
[patent_country] => US
[patent_kind] => B1
[patent_issue_date] => 2024-10-22
[patent_title] => Intelligent control with hierarchical stacked neural networks
[patent_app_type] => utility
[patent_app_number] => 18/070442
[patent_app_country] => US
[patent_app_date] => 2022-11-28
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 8
[patent_figures_cnt] => 14
[patent_no_of_words] => 32412
[patent_no_of_claims] => 20
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 154
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18070442
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/070442 | Intelligent control with hierarchical stacked neural networks | Nov 27, 2022 | Issued |
Array
(
[id] => 18307941
[patent_doc_number] => 20230111841
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2023-04-13
[patent_title] => TEMPORAL PROCESSING SCHEME AND SENSORIMOTOR INFORMATION PROCESSING
[patent_app_type] => utility
[patent_app_number] => 17/990183
[patent_app_country] => US
[patent_app_date] => 2022-11-18
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 11172
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -18
[patent_words_short_claim] => 146
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17990183
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/990183 | Temporal processing scheme and sensorimotor information processing | Nov 17, 2022 | Issued |
Array
(
[id] => 18386496
[patent_doc_number] => 11657280
[patent_country] => US
[patent_kind] => B1
[patent_issue_date] => 2023-05-23
[patent_title] => Reinforcement learning techniques for network-based transfer learning
[patent_app_type] => utility
[patent_app_number] => 17/978491
[patent_app_country] => US
[patent_app_date] => 2022-11-01
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 9
[patent_figures_cnt] => 9
[patent_no_of_words] => 11062
[patent_no_of_claims] => 19
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 269
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17978491
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/978491 | Reinforcement learning techniques for network-based transfer learning | Oct 31, 2022 | Issued |
Array
(
[id] => 19645431
[patent_doc_number] => 20240419951
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2024-12-19
[patent_title] => ALL-OPTICAL ULTRAFAST NONLINEAR ACTIVATION FUNCTIONS FOR DEEP LEARNING
[patent_app_type] => utility
[patent_app_number] => 17/973118
[patent_app_country] => US
[patent_app_date] => 2022-10-25
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 13462
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -18
[patent_words_short_claim] => 170
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17973118
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/973118 | ALL-OPTICAL ULTRAFAST NONLINEAR ACTIVATION FUNCTIONS FOR DEEP LEARNING | Oct 24, 2022 | Pending |
Array
(
[id] => 18199304
[patent_doc_number] => 20230052823
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2023-02-16
[patent_title] => SYSTEM AND METHOD FOR SYNTHESIZING DATA
[patent_app_type] => utility
[patent_app_number] => 17/967147
[patent_app_country] => US
[patent_app_date] => 2022-10-17
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 8309
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -18
[patent_words_short_claim] => 283
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17967147
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/967147 | System and method for building predictive model for synthesizing data | Oct 16, 2022 | Issued |
Array
(
[id] => 19078723
[patent_doc_number] => 11948093
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2024-04-02
[patent_title] => Generating and managing deep tensor neural networks
[patent_app_type] => utility
[patent_app_number] => 17/938131
[patent_app_country] => US
[patent_app_date] => 2022-10-05
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 10
[patent_figures_cnt] => 10
[patent_no_of_words] => 18220
[patent_no_of_claims] => 20
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 130
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17938131
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/938131 | Generating and managing deep tensor neural networks | Oct 4, 2022 | Issued |
Array
(
[id] => 18079979
[patent_doc_number] => 20220405591
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2022-12-22
[patent_title] => Training network with discrete weight values
[patent_app_type] => utility
[patent_app_number] => 17/894798
[patent_app_country] => US
[patent_app_date] => 2022-08-24
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 10363
[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] => 17894798
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/894798 | Training network with discrete weight values | Aug 23, 2022 | Issued |
Array
(
[id] => 18080796
[patent_doc_number] => 20220406408
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2022-12-22
[patent_title] => SEQUENCE-BASED ANOMALY DETECTION WITH HIERARCHICAL SPIKING NEURAL NETWORKS
[patent_app_type] => utility
[patent_app_number] => 17/890843
[patent_app_country] => US
[patent_app_date] => 2022-08-18
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 9861
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -21
[patent_words_short_claim] => 192
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17890843
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/890843 | Sequence-based anomaly detection with hierarchical spiking neural networks | Aug 17, 2022 | Issued |
Array
(
[id] => 18925926
[patent_doc_number] => 20240028930
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2024-01-25
[patent_title] => SYSTEMS AND METHODS FOR DETERMINING TARGET POPULATIONS FOR STATISTICAL EXPERIMENTS
[patent_app_type] => utility
[patent_app_number] => 17/870881
[patent_app_country] => US
[patent_app_date] => 2022-07-22
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 10576
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 174
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17870881
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/870881 | SYSTEMS AND METHODS FOR DETERMINING TARGET POPULATIONS FOR STATISTICAL EXPERIMENTS | Jul 21, 2022 | Pending |
Array
(
[id] => 18212154
[patent_doc_number] => 20230058418
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2023-02-23
[patent_title] => SENSOR-DISPLAY DEVICE
[patent_app_type] => utility
[patent_app_number] => 17/859347
[patent_app_country] => US
[patent_app_date] => 2022-07-07
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 14533
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -5
[patent_words_short_claim] => 109
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17859347
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/859347 | Device for optically transmitting and receiving images | Jul 6, 2022 | Issued |
Array
(
[id] => 19029505
[patent_doc_number] => 11928867
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2024-03-12
[patent_title] => Group of neural networks ensuring integrity
[patent_app_type] => utility
[patent_app_number] => 17/805730
[patent_app_country] => US
[patent_app_date] => 2022-06-07
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 19
[patent_figures_cnt] => 22
[patent_no_of_words] => 33121
[patent_no_of_claims] => 20
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 119
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17805730
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/805730 | Group of neural networks ensuring integrity | Jun 6, 2022 | Issued |
Array
(
[id] => 18592582
[patent_doc_number] => 11741486
[patent_country] => US
[patent_kind] => B1
[patent_issue_date] => 2023-08-29
[patent_title] => Machine learning technique with targeted feature sets for categorical anomaly detection
[patent_app_type] => utility
[patent_app_number] => 17/804621
[patent_app_country] => US
[patent_app_date] => 2022-05-31
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 5
[patent_figures_cnt] => 6
[patent_no_of_words] => 9539
[patent_no_of_claims] => 17
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 187
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17804621
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/804621 | Machine learning technique with targeted feature sets for categorical anomaly detection | May 30, 2022 | Issued |
Array
(
[id] => 18819948
[patent_doc_number] => 20230394288
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2023-12-07
[patent_title] => SYNAPTIC WEIGHT TRAINING METHOD, TARGET IDENTIFICATION METHOD, ELECTRONIC DEVICE AND MEDIUM
[patent_app_type] => utility
[patent_app_number] => 18/265715
[patent_app_country] => US
[patent_app_date] => 2022-05-31
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 12458
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -19
[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] => 18265715
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/265715 | Synaptic weight training method, target identification method, electronic device and medium | May 30, 2022 | Issued |
Array
(
[id] => 19167711
[patent_doc_number] => 11983620
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2024-05-14
[patent_title] => Simplification of spiking neural network models
[patent_app_type] => utility
[patent_app_number] => 17/658462
[patent_app_country] => US
[patent_app_date] => 2022-04-08
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 7
[patent_figures_cnt] => 8
[patent_no_of_words] => 7948
[patent_no_of_claims] => 18
[patent_no_of_ind_claims] => 2
[patent_words_short_claim] => 278
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17658462
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/658462 | Simplification of spiking neural network models | Apr 7, 2022 | Issued |
Array
(
[id] => 18520097
[patent_doc_number] => 11709989
[patent_country] => US
[patent_kind] => B1
[patent_issue_date] => 2023-07-25
[patent_title] => Method and system for generating conversation summary
[patent_app_type] => utility
[patent_app_number] => 17/710454
[patent_app_country] => US
[patent_app_date] => 2022-03-31
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 8
[patent_figures_cnt] => 8
[patent_no_of_words] => 9945
[patent_no_of_claims] => 20
[patent_no_of_ind_claims] => 2
[patent_words_short_claim] => 244
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17710454
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/710454 | Method and system for generating conversation summary | Mar 30, 2022 | Issued |
Array
(
[id] => 20494603
[patent_doc_number] => 12536475
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2026-01-27
[patent_title] => Feature segmentation-based ensemble learning for classification and regression
[patent_app_type] => utility
[patent_app_number] => 17/709704
[patent_app_country] => US
[patent_app_date] => 2022-03-31
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 8
[patent_figures_cnt] => 10
[patent_no_of_words] => 4323
[patent_no_of_claims] => 18
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 398
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17709704
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/709704 | Feature segmentation-based ensemble learning for classification and regression | Mar 30, 2022 | Issued |
Array
(
[id] => 19137386
[patent_doc_number] => 11972354
[patent_country] => US
[patent_kind] => B2
[patent_issue_date] => 2024-04-30
[patent_title] => Representing a neural network utilizing paths within the network to improve a performance of the neural network
[patent_app_type] => utility
[patent_app_number] => 17/672543
[patent_app_country] => US
[patent_app_date] => 2022-02-15
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 16
[patent_figures_cnt] => 16
[patent_no_of_words] => 17612
[patent_no_of_claims] => 25
[patent_no_of_ind_claims] => 3
[patent_words_short_claim] => 120
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => patent
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17672543
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/672543 | Representing a neural network utilizing paths within the network to improve a performance of the neural network | Feb 14, 2022 | Issued |
Array
(
[id] => 18457778
[patent_doc_number] => 20230199060
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2023-06-22
[patent_title] => CORRELATIONS BETWEEN WORKLOAD CHARACTERISTICS AND ELAPSED TIMES
[patent_app_type] => utility
[patent_app_number] => 17/649993
[patent_app_country] => US
[patent_app_date] => 2022-02-04
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 8395
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -17
[patent_words_short_claim] => 93
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17649993
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/649993 | Correlations between workload characteristics and elapsed times | Feb 3, 2022 | Issued |
Array
(
[id] => 17809783
[patent_doc_number] => 20220261618
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2022-08-18
[patent_title] => METHOD AND APPARATUS USING A GRAPH NEURAL NETWORK
[patent_app_type] => utility
[patent_app_number] => 17/649297
[patent_app_country] => US
[patent_app_date] => 2022-01-28
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 4578
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -14
[patent_words_short_claim] => 39
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17649297
[rel_patent_id] =>[rel_patent_doc_number] =>) 17/649297 | METHOD AND APPARATUS USING A GRAPH NEURAL NETWORK | Jan 27, 2022 | Pending |
Array
(
[id] => 18454822
[patent_doc_number] => 20230196102
[patent_country] => US
[patent_kind] => A1
[patent_issue_date] => 2023-06-22
[patent_title] => Method for Training Spiking Neuron Network, Method for Processing Data, Electronic Device, and Medium
[patent_app_type] => utility
[patent_app_number] => 18/004013
[patent_app_country] => US
[patent_app_date] => 2021-12-28
[patent_effective_date] => 0000-00-00
[patent_drawing_sheets_cnt] => 0
[patent_figures_cnt] => 0
[patent_no_of_words] => 7968
[patent_no_of_claims] => 0
[patent_no_of_ind_claims] => -16
[patent_words_short_claim] => 69
[patent_maintenance] => 1
[patent_no_of_assignments] => 0
[patent_current_assignee] =>[type] => publication
[pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18004013
[rel_patent_id] =>[rel_patent_doc_number] =>) 18/004013 | Methods, electronic devices, and computer-readable media for training, and processing data through, a spiking neuron network | Dec 27, 2021 | Issued |