Haimei Jiang

Array ( [id] => 17129232 [patent_doc_number] => 20210304001 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-09-30 [patent_title] => Multi-head neural network model to simultaneously predict multiple physiological signals from facial RGB video [patent_app_type] => utility [patent_app_number] => 17/215915 [patent_app_country] => US [patent_app_date] => 2021-03-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6471 [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] => 17215915 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17899727 [patent_doc_number] => 20220309389 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-09-29 [patent_title] => EVALUATING ON-DEVICE MACHINE LEARNING MODEL(S) BASED ON PERFORMANCE MEASURES OF CLIENT DEVICE(S) AND/OR THE ON-DEVICE MACHINE LEARNING MODEL(S) [patent_app_type] => utility [patent_app_number] => 17/215588 [patent_app_country] => US [patent_app_date] => 2021-03-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 15469 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 188 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17215588 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19566898 [patent_doc_number] => 12141671 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-11-12 [patent_title] => Methods and systems for generating predictions based on time series data using an ensemble modeling [patent_app_type] => utility [patent_app_number] => 17/205890 [patent_app_country] => US [patent_app_date] => 2021-03-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 9937 [patent_no_of_claims] => 18 [patent_no_of_ind_claims] => 3 [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] => 17205890 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17854229 [patent_doc_number] => 20220284271 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-09-08 [patent_title] => SPARSITY-BASED NEURAL NETWORK MAPPING TO COMPUTING UNITS IN A SYSTEM-ON-CHIP [patent_app_type] => utility [patent_app_number] => 17/194202 [patent_app_country] => US [patent_app_date] => 2021-03-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11972 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -24 [patent_words_short_claim] => 92 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17194202 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19092861 [patent_doc_number] => 11954315 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2024-04-09 [patent_title] => Systems and methods for dynamically creating and adjusting scene models [patent_app_type] => utility [patent_app_number] => 17/183147 [patent_app_country] => US [patent_app_date] => 2021-02-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 9 [patent_no_of_words] => 23380 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 320 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17183147 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19678425 [patent_doc_number] => 12190289 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-01-07 [patent_title] => Assortment planning data management [patent_app_type] => utility [patent_app_number] => 17/176689 [patent_app_country] => US [patent_app_date] => 2021-02-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 10 [patent_no_of_words] => 9069 [patent_no_of_claims] => 16 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 629 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17176689 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17809849 [patent_doc_number] => 20220261684 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-08-18 [patent_title] => METHOD AND SYSTEM FOR OVERCOMING TAGGING SHORTAGE FOR MACHINE LEARNING PURPOSES [patent_app_type] => utility [patent_app_number] => 17/175827 [patent_app_country] => US [patent_app_date] => 2021-02-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 3960 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 61 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17175827 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19780654 [patent_doc_number] => 12229689 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-02-18 [patent_title] => Hybrid modeling process for forecasting physical system parameters [patent_app_type] => utility [patent_app_number] => 17/248836 [patent_app_country] => US [patent_app_date] => 2021-02-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 10 [patent_no_of_words] => 6611 [patent_no_of_claims] => 16 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 350 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17248836 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19100072 [patent_doc_number] => 20240119300 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-04-11 [patent_title] => CONFIGURING A REINFORCEMENT LEARNING AGENT BASED ON RELATIVE FEATURE CONTRIBUTION [patent_app_type] => utility [patent_app_number] => 18/275580 [patent_app_country] => US [patent_app_date] => 2021-02-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9421 [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] => 18275580 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 20703418 [patent_doc_number] => 12626131 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2026-05-12 [patent_title] => Computer-implemented methods and systems for compressing recurrent neural network (RNN) models and accelerating RNN execution in mobile devices to achieve real-time inference [patent_app_type] => utility [patent_app_number] => 17/795145 [patent_app_country] => US [patent_app_date] => 2021-01-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 12 [patent_figures_cnt] => 12 [patent_no_of_words] => 1096 [patent_no_of_claims] => 14 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 171 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17795145 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16935195 [patent_doc_number] => 20210201084 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-07-01 [patent_title] => REINFORCEMENT LEARNING-BASED SENSOR DATA MANAGEMENT METHOD AND SYSTEM [patent_app_type] => utility [patent_app_number] => 17/135843 [patent_app_country] => US [patent_app_date] => 2020-12-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6874 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -10 [patent_words_short_claim] => 114 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17135843 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19934128 [patent_doc_number] => 12307333 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-05-20 [patent_title] => Loss augmentation for predictive modeling [patent_app_type] => utility [patent_app_number] => 17/135920 [patent_app_country] => US [patent_app_date] => 2020-12-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 3 [patent_figures_cnt] => 3 [patent_no_of_words] => 1373 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 113 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17135920 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17730532 [patent_doc_number] => 11386929 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-07-12 [patent_title] => Systems and methods for incident recording [patent_app_type] => utility [patent_app_number] => 17/118658 [patent_app_country] => US [patent_app_date] => 2020-12-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 14 [patent_figures_cnt] => 20 [patent_no_of_words] => 30002 [patent_no_of_claims] => 24 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 494 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17118658 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18547356 [patent_doc_number] => 11720709 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2023-08-08 [patent_title] => Systems and methods for ad hoc synthetic persona creation [patent_app_type] => utility [patent_app_number] => 17/112837 [patent_app_country] => US [patent_app_date] => 2020-12-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 4 [patent_no_of_words] => 9709 [patent_no_of_claims] => 17 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 217 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17112837 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19522945 [patent_doc_number] => 12124672 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-10-22 [patent_title] => Placing a sound within content [patent_app_type] => utility [patent_app_number] => 17/783089 [patent_app_country] => US [patent_app_date] => 2020-11-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 12 [patent_figures_cnt] => 62 [patent_no_of_words] => 11124 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 229 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17783089 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18905045 [patent_doc_number] => 20240020530 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2024-01-18 [patent_title] => LEARNING DEVICE, LEARNING METHOD AND PROGRAM [patent_app_type] => utility [patent_app_number] => 18/035466 [patent_app_country] => US [patent_app_date] => 2020-11-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5652 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -3 [patent_words_short_claim] => 100 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18035466 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17054805 [patent_doc_number] => 20210264239 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-08-26 [patent_title] => METHOD AND APPARATUS FOR NEURAL NETWORK OPTIMIZED MATRIX-MATRIX MULTIPLICATION (NNMM) [patent_app_type] => utility [patent_app_number] => 17/092925 [patent_app_country] => US [patent_app_date] => 2020-11-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5905 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 88 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17092925 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 17261620 [patent_doc_number] => 20210374605 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-12-02 [patent_title] => System and Method for Federated Learning with Local Differential Privacy [patent_app_type] => utility [patent_app_number] => 17/085699 [patent_app_country] => US [patent_app_date] => 2020-10-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 15835 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -24 [patent_words_short_claim] => 139 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17085699 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 19886109 [patent_doc_number] => 12271827 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-04-08 [patent_title] => Computer prediction of relevant data from multiple disparate sources [patent_app_type] => utility [patent_app_number] => 17/086317 [patent_app_country] => US [patent_app_date] => 2020-10-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 8 [patent_no_of_words] => 13535 [patent_no_of_claims] => 17 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 298 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17086317 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 18165918 [patent_doc_number] => 20230032519 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-02-02 [patent_title] => PRIVATE INFERENCE IN DEEP NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 17/085986 [patent_app_country] => US [patent_app_date] => 2020-10-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 22699 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 295 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17085986 [rel_patent_id] =>[rel_patent_doc_number] =>)