Search

Julie Zhen Qin Wu

Examiner (ID: 15387, Phone: (571)272-5205 , Office: P/1642 )

Most Active Art Unit
1642
Art Unit(s)
1642, 1643
Total Applications
409
Issued Applications
221
Pending Applications
26
Abandoned Applications
174

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 17430785 [patent_doc_number] => 20220058494 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-02-24 [patent_title] => HYBRID ENSEMBLE MODEL LEVERAGING EDGE AND SERVER SIDE INFERENCE [patent_app_type] => utility [patent_app_number] => 16/998061 [patent_app_country] => US [patent_app_date] => 2020-08-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5637 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 103 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16998061 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/998061
HYBRID ENSEMBLE MODEL LEVERAGING EDGE AND SERVER SIDE INFERENCE Aug 19, 2020 Pending
Array ( [id] => 17129300 [patent_doc_number] => 20210304069 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-09-30 [patent_title] => METHOD FOR TRAINING CLASSIFICATION MODEL, CLASSIFICATION METHOD AND DEVICE, AND STORAGE MEDIUM [patent_app_type] => utility [patent_app_number] => 16/995765 [patent_app_country] => US [patent_app_date] => 2020-08-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9045 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -11 [patent_words_short_claim] => 133 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16995765 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/995765
METHOD FOR TRAINING CLASSIFICATION MODEL, CLASSIFICATION METHOD AND DEVICE, AND STORAGE MEDIUM Aug 16, 2020 Abandoned
Array ( [id] => 17809826 [patent_doc_number] => 20220261661 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-08-18 [patent_title] => METHODS, SYSTEMS, ARTICLES OF MANUFACTURE AND APPARATUS TO IMPROVE JOB SCHEDULING EFFICIENCY [patent_app_type] => utility [patent_app_number] => 17/625946 [patent_app_country] => US [patent_app_date] => 2020-08-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 28839 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -22 [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] => 17625946 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/625946
METHODS, SYSTEMS, ARTICLES OF MANUFACTURE AND APPARATUS TO IMPROVE JOB SCHEDULING EFFICIENCY Aug 6, 2020 Pending
Array ( [id] => 17402015 [patent_doc_number] => 20220044105 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-02-10 [patent_title] => TRAINING MULTIMODAL REPRESENTATION LEARNING MODEL ON UNNANOTATED MULTIMODAL DATA [patent_app_type] => utility [patent_app_number] => 16/984909 [patent_app_country] => US [patent_app_date] => 2020-08-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7918 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 70 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16984909 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/984909
Training multimodal representation learning model on unannotated multimodal data Aug 3, 2020 Issued
Array ( [id] => 16919230 [patent_doc_number] => 20210192322 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-06-24 [patent_title] => Method For Determining A Confidence Level Of Inference Data Produced By Artificial Neural Network [patent_app_type] => utility [patent_app_number] => 16/984485 [patent_app_country] => US [patent_app_date] => 2020-08-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10815 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -8 [patent_words_short_claim] => 159 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16984485 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/984485
Method For Determining A Confidence Level Of Inference Data Produced By Artificial Neural Network Aug 3, 2020 Abandoned
Array ( [id] => 16600638 [patent_doc_number] => 20210027169 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-01-28 [patent_title] => Method for Training Parametric Machine Learning Systems [patent_app_type] => utility [patent_app_number] => 16/938035 [patent_app_country] => US [patent_app_date] => 2020-07-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4615 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 47 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16938035 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/938035
Method for Training Parametric Machine Learning Systems Jul 23, 2020 Abandoned
Array ( [id] => 17151753 [patent_doc_number] => 11144831 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-10-12 [patent_title] => Regularized neural network architecture search [patent_app_type] => utility [patent_app_number] => 16/906034 [patent_app_country] => US [patent_app_date] => 2020-06-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 7 [patent_no_of_words] => 8703 [patent_no_of_claims] => 16 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 374 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16906034 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/906034
Regularized neural network architecture search Jun 18, 2020 Issued
Array ( [id] => 16630797 [patent_doc_number] => 20210049450 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-02-18 [patent_title] => PROCESSOR CHIP AND CONTROL METHODS THEREOF [patent_app_type] => utility [patent_app_number] => 16/906130 [patent_app_country] => US [patent_app_date] => 2020-06-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9568 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [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] => 16906130 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/906130
Processor chip and control methods thereof Jun 18, 2020 Issued
Array ( [id] => 17673542 [patent_doc_number] => 20220186709 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-16 [patent_title] => REINFORCEMENT LEARNING-BASED REAL TIME ROBUST VARIABLE PITCH CONTROL OF WIND TURBINE SYSTEMS [patent_app_type] => utility [patent_app_number] => 17/260323 [patent_app_country] => US [patent_app_date] => 2020-05-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6291 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -13 [patent_words_short_claim] => 333 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17260323 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/260323
REINFORCEMENT LEARNING-BASED REAL TIME ROBUST VARIABLE PITCH CONTROL OF WIND TURBINE SYSTEMS May 21, 2020 Pending
Array ( [id] => 17794606 [patent_doc_number] => 20220253698 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-08-11 [patent_title] => NEURAL NETWORK-BASED MEMORY SYSTEM WITH VARIABLE RECIRCULATION OF QUERIES USING MEMORY CONTENT [patent_app_type] => utility [patent_app_number] => 17/613398 [patent_app_country] => US [patent_app_date] => 2020-05-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10118 [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] => 17613398 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/613398
NEURAL NETWORK-BASED MEMORY SYSTEM WITH VARIABLE RECIRCULATION OF QUERIES USING MEMORY CONTENT May 21, 2020 Pending
Array ( [id] => 17675436 [patent_doc_number] => 20220188603 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-16 [patent_title] => Neural Network Learning Method, Neural Network Generation Method, Trained Device, Mobile Terminal Device, Learning Processing Device and Recording Medium [patent_app_type] => utility [patent_app_number] => 17/440037 [patent_app_country] => US [patent_app_date] => 2020-03-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12014 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -10 [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] => 17440037 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/440037
Neural Network Learning Method, Neural Network Generation Method, Trained Device, Mobile Terminal Device, Learning Processing Device and Recording Medium Mar 16, 2020 Abandoned
Array ( [id] => 16931446 [patent_doc_number] => 20210197335 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-07-01 [patent_title] => Data Augmentation Method Based On Generative Adversarial Networks In Tool Condition Monitoring [patent_app_type] => utility [patent_app_number] => 16/970301 [patent_app_country] => US [patent_app_date] => 2020-02-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 2786 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => 0 [patent_words_short_claim] => 1502 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16970301 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/970301
Data Augmentation Method Based On Generative Adversarial Networks In Tool Condition Monitoring Feb 27, 2020 Abandoned
Array ( [id] => 18265019 [patent_doc_number] => 20230086261 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-03-23 [patent_title] => CLUSTERING DEVICE, CLUSTERING METHOD, AND CLUSTERING PROGRAM [patent_app_type] => utility [patent_app_number] => 17/801779 [patent_app_country] => US [patent_app_date] => 2020-02-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5147 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -5 [patent_words_short_claim] => 172 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17801779 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/801779
CLUSTERING DEVICE, CLUSTERING METHOD, AND CLUSTERING PROGRAM Feb 24, 2020 Pending
Array ( [id] => 19493536 [patent_doc_number] => 12112254 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2024-10-08 [patent_title] => Optimizing loss function during training of network [patent_app_type] => utility [patent_app_number] => 16/780843 [patent_app_country] => US [patent_app_date] => 2020-02-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 14 [patent_figures_cnt] => 14 [patent_no_of_words] => 22030 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 205 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16780843 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/780843
Optimizing loss function during training of network Feb 2, 2020 Issued
Array ( [id] => 17009933 [patent_doc_number] => 20210241094 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-08-05 [patent_title] => RANK SELECTION IN TENSOR DECOMPOSITION BASED ON REINFORCEMENT LEARNING FOR DEEP NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 16/979522 [patent_app_country] => US [patent_app_date] => 2019-11-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7067 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 242 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16979522 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/979522
RANK SELECTION IN TENSOR DECOMPOSITION BASED ON REINFORCEMENT LEARNING FOR DEEP NEURAL NETWORKS Nov 25, 2019 Abandoned
Array ( [id] => 18415188 [patent_doc_number] => 11669731 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-06-06 [patent_title] => Solving based introspection to augment the training of reinforcement learning agents for control and planning on robots and autonomous vehicles [patent_app_type] => utility [patent_app_number] => 16/691446 [patent_app_country] => US [patent_app_date] => 2019-11-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 7 [patent_no_of_words] => 5349 [patent_no_of_claims] => 12 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 208 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16691446 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/691446
Solving based introspection to augment the training of reinforcement learning agents for control and planning on robots and autonomous vehicles Nov 20, 2019 Issued
Array ( [id] => 16826887 [patent_doc_number] => 20210142180 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-05-13 [patent_title] => FEEDBACK DISCRIMINATOR [patent_app_type] => utility [patent_app_number] => 16/676632 [patent_app_country] => US [patent_app_date] => 2019-11-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8381 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 115 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16676632 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/676632
Feedback discriminator Nov 6, 2019 Issued
Array ( [id] => 16780750 [patent_doc_number] => 20210117829 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-04-22 [patent_title] => LEARNING PATTERN DICTIONARY FROM NOISY NUMERICAL DATA IN DISTRIBUTED NETWORKS [patent_app_type] => utility [patent_app_number] => 16/655202 [patent_app_country] => US [patent_app_date] => 2019-10-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6793 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 129 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16655202 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/655202
LEARNING PATTERN DICTIONARY FROM NOISY NUMERICAL DATA IN DISTRIBUTED NETWORKS Oct 15, 2019 Pending
Array ( [id] => 16751789 [patent_doc_number] => 20210103800 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-04-08 [patent_title] => CERTIFIED ADVERSARIAL ROBUSTNESS FOR DEEP REINFORCEMENT LEARNING [patent_app_type] => utility [patent_app_number] => 16/595175 [patent_app_country] => US [patent_app_date] => 2019-10-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5523 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 37 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16595175 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/595175
CERTIFIED ADVERSARIAL ROBUSTNESS FOR DEEP REINFORCEMENT LEARNING Oct 6, 2019 Abandoned
Array ( [id] => 17231172 [patent_doc_number] => 20210357729 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-11-18 [patent_title] => SYSTEM AND METHOD FOR EXPLAINING THE BEHAVIOR OF NEURAL NETWORKS [patent_app_type] => utility [patent_app_number] => 16/583392 [patent_app_country] => US [patent_app_date] => 2019-09-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12810 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 86 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16583392 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/583392
SYSTEM AND METHOD FOR EXPLAINING THE BEHAVIOR OF NEURAL NETWORKS Sep 25, 2019 Abandoned
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