Search

Alan S. Chen

Examiner (ID: 6684)

Most Active Art Unit
2182
Art Unit(s)
2182, 2124, 2129, 2125
Total Applications
1711
Issued Applications
1472
Pending Applications
104
Abandoned Applications
172

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 19610349 [patent_doc_number] => 12159225 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-12-03 [patent_title] => Queue allocation in machine learning accelerators [patent_app_type] => utility [patent_app_number] => 17/136229 [patent_app_country] => US [patent_app_date] => 2020-12-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 11437 [patent_no_of_claims] => 19 [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] => 17136229 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/136229
Queue allocation in machine learning accelerators Dec 28, 2020 Issued
Array ( [id] => 19925279 [patent_doc_number] => 12299565 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-05-13 [patent_title] => Data processing method and device for bit-number reduction in a neural network by establishing bit upper bound and bit lower bound using distribution information [patent_app_type] => utility [patent_app_number] => 17/135793 [patent_app_country] => US [patent_app_date] => 2020-12-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 9 [patent_no_of_words] => 0 [patent_no_of_claims] => 17 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 151 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17135793 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/135793
Data processing method and device for bit-number reduction in a neural network by establishing bit upper bound and bit lower bound using distribution information Dec 27, 2020 Issued
Array ( [id] => 19925292 [patent_doc_number] => 12299578 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-05-13 [patent_title] => Method and system for unstructured information analysis using a pipeline of ML algorithms [patent_app_type] => utility [patent_app_number] => 17/131818 [patent_app_country] => US [patent_app_date] => 2020-12-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 8 [patent_no_of_words] => 3397 [patent_no_of_claims] => 17 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 207 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17131818 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/131818
Method and system for unstructured information analysis using a pipeline of ML algorithms Dec 22, 2020 Issued
Array ( [id] => 16919235 [patent_doc_number] => 20210192327 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-06-24 [patent_title] => APPARATUS AND METHOD FOR NEURAL NETWORK COMPUTATION [patent_app_type] => utility [patent_app_number] => 17/131783 [patent_app_country] => US [patent_app_date] => 2020-12-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 3911 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 75 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17131783 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/131783
Apparatus and method for neural network computation Dec 22, 2020 Issued
Array ( [id] => 17690988 [patent_doc_number] => 20220198281 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-23 [patent_title] => JOINT EXECUTION OF DECISION TREE NODES FOR ACCELERATING INFERENCES [patent_app_type] => utility [patent_app_number] => 17/127104 [patent_app_country] => US [patent_app_date] => 2020-12-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7889 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 163 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17127104 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/127104
Joint execution of decision tree nodes for accelerating inferences Dec 17, 2020 Issued
Array ( [id] => 17690963 [patent_doc_number] => 20220198256 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-23 [patent_title] => ARTIFICIAL INTELLIGENCE BASED OPERATIONS IN ENTERPRISE APPLICATION [patent_app_type] => utility [patent_app_number] => 17/126869 [patent_app_country] => US [patent_app_date] => 2020-12-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8696 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -33 [patent_words_short_claim] => 130 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17126869 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/126869
Artificial intelligence based operations in enterprise application Dec 17, 2020 Issued
Array ( [id] => 19899557 [patent_doc_number] => 12277481 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-04-15 [patent_title] => Method of and system for generating a training set for a machine learning algorithm (MLA) [patent_app_type] => utility [patent_app_number] => 17/123749 [patent_app_country] => US [patent_app_date] => 2020-12-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 4554 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 191 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17123749 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/123749
Method of and system for generating a training set for a machine learning algorithm (MLA) Dec 15, 2020 Issued
Array ( [id] => 17675498 [patent_doc_number] => 20220188665 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-16 [patent_title] => GAS-OIL SEPARATION PLANT VIRTUAL WATER CUT PREDICTOR BASED ON SUPERVISED LEARNING FRAMEWORK ON TIME SERIES DATA [patent_app_type] => utility [patent_app_number] => 17/122736 [patent_app_country] => US [patent_app_date] => 2020-12-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7407 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 145 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17122736 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/122736
Gas-oil separation plant virtual water cut predictor based on supervised learning framework on time series data Dec 14, 2020 Issued
Array ( [id] => 17484968 [patent_doc_number] => 20220092472 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-03-24 [patent_title] => Meta-Learning and Auto-Labeling for Machine Learning [patent_app_type] => utility [patent_app_number] => 17/122683 [patent_app_country] => US [patent_app_date] => 2020-12-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 15262 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 101 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17122683 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/122683
Meta-learning and auto-labeling for machine learning Dec 14, 2020 Issued
Array ( [id] => 17675513 [patent_doc_number] => 20220188680 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-16 [patent_title] => QUANTUM CIRCUIT OPTIMIZATION ROUTINE EVALUATION AND KNOWLEDGE BASE GENERATION [patent_app_type] => utility [patent_app_number] => 17/121146 [patent_app_country] => US [patent_app_date] => 2020-12-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14754 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -20 [patent_words_short_claim] => 51 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17121146 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/121146
Quantum circuit optimization routine evaluation and knowledge base generation Dec 13, 2020 Issued
Array ( [id] => 20257677 [patent_doc_number] => 12430027 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-09-30 [patent_title] => Predicting glucose trends for population management [patent_app_type] => utility [patent_app_number] => 17/118021 [patent_app_country] => US [patent_app_date] => 2020-12-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 1158 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 222 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17118021 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/118021
Predicting glucose trends for population management Dec 9, 2020 Issued
Array ( [id] => 20257677 [patent_doc_number] => 12430027 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-09-30 [patent_title] => Predicting glucose trends for population management [patent_app_type] => utility [patent_app_number] => 17/118021 [patent_app_country] => US [patent_app_date] => 2020-12-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 1158 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 222 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17118021 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/118021
Predicting glucose trends for population management Dec 9, 2020 Issued
Array ( [id] => 19610362 [patent_doc_number] => 12159238 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-12-03 [patent_title] => Automated machine learning model selection [patent_app_type] => utility [patent_app_number] => 17/118301 [patent_app_country] => US [patent_app_date] => 2020-12-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 7 [patent_no_of_words] => 6856 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 173 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17118301 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/118301
Automated machine learning model selection Dec 9, 2020 Issued
Array ( [id] => 19678369 [patent_doc_number] => 12190233 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-01-07 [patent_title] => Data style transformation with adversarial models [patent_app_type] => utility [patent_app_number] => 17/111072 [patent_app_country] => US [patent_app_date] => 2020-12-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 12 [patent_no_of_words] => 10820 [patent_no_of_claims] => 29 [patent_no_of_ind_claims] => 5 [patent_words_short_claim] => 101 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17111072 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/111072
Data style transformation with adversarial models Dec 2, 2020 Issued
Array ( [id] => 17644352 [patent_doc_number] => 20220172091 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-02 [patent_title] => LEARNING PARAMETERS OF BAYESIAN NETWORK USING UNCERTAIN EVIDENCE [patent_app_type] => utility [patent_app_number] => 17/107984 [patent_app_country] => US [patent_app_date] => 2020-12-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7775 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 162 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17107984 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/107984
Learning parameters of Bayesian network using uncertain evidence Nov 30, 2020 Issued
Array ( [id] => 17644348 [patent_doc_number] => 20220172087 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-02 [patent_title] => DATA SOURCE CORRELATION TECHNIQUES FOR MACHINE LEARNING AND CONVOLUTIONAL NEURAL MODELS [patent_app_type] => utility [patent_app_number] => 17/107865 [patent_app_country] => US [patent_app_date] => 2020-11-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4960 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 130 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17107865 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/107865
Data source correlation techniques for machine learning and convolutional neural models Nov 29, 2020 Issued
Array ( [id] => 18950213 [patent_doc_number] => 11893511 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-02-06 [patent_title] => Determining general causation from processing scientific articles [patent_app_type] => utility [patent_app_number] => 17/247060 [patent_app_country] => US [patent_app_date] => 2020-11-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 8 [patent_no_of_words] => 3715 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 270 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17247060 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/247060
Determining general causation from processing scientific articles Nov 24, 2020 Issued
Array ( [id] => 16810949 [patent_doc_number] => 20210133504 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-05-06 [patent_title] => SYSTEMS AND METHODS FOR DATA STREAM USING SYNTHETIC DATA [patent_app_type] => utility [patent_app_number] => 16/950399 [patent_app_country] => US [patent_app_date] => 2020-11-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4180 [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] => 16950399 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/950399
Systems and methods for data stream using synthetic data Nov 16, 2020 Issued
Array ( [id] => 18720548 [patent_doc_number] => 11797894 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2023-10-24 [patent_title] => System and method for configuration of an ensemble solver [patent_app_type] => utility [patent_app_number] => 17/098916 [patent_app_country] => US [patent_app_date] => 2020-11-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 2 [patent_figures_cnt] => 2 [patent_no_of_words] => 8256 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 152 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17098916 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/098916
System and method for configuration of an ensemble solver Nov 15, 2020 Issued
Array ( [id] => 19950797 [patent_doc_number] => 12322165 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-06-03 [patent_title] => Hardened deep neural networks through training from adversarial misclassified data [patent_app_type] => utility [patent_app_number] => 17/093938 [patent_app_country] => US [patent_app_date] => 2020-11-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 11 [patent_no_of_words] => 6947 [patent_no_of_claims] => 23 [patent_no_of_ind_claims] => 6 [patent_words_short_claim] => 102 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17093938 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/093938
Hardened deep neural networks through training from adversarial misclassified data Nov 9, 2020 Issued
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