公开(公告)号：US12165020B2

公开(公告)日：2024-12-10

申请号：US17139561

申请日：2020-12-31

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Di Wu ,  Jikun Kang ,  Hang Li ,  Xi Chen ,  Yi Tian Xu ,  Dmitriy Rivkin ,  Taeseop Lee ,  Intaik Park ,  Michael Jenkin ,  Xue Liu ,  Gregory Lewis Dudek

IPC: G06N20/00 ,  G06F18/20 ,  G06F18/21 ,  G06N3/044 ,  G06N3/08 ,  H04W28/02 ,  H04W28/08

Abstract: Rapid and data-efficient training of an artificial intelligence (AI) algorithm are disclosed. Ground truth data are not available and a policy must be learned based on limited interactions with a system. A policy bank is used to explore different policies on a target system with shallow probing. A target policy is chosen by comparing a good policy from the shallow probing with a base target policy which has evolved over other learning experiences. The target policy then interacts with the target system and a replay buffer is built up. The base target policy is then updated using gradients found with respect to the transition experience stored in the replay buffer. The base target policy is quickly learned and is robust for application to new, unseen, systems.

公开(公告)号：US11941663B2

公开(公告)日：2024-03-26

申请号：US17829883

申请日：2022-06-01

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Xi Chen ,  Hang Li ,  Chenyi Zhou ,  Xue Liu ,  Di Wu ,  Gregory L. Dudek

IPC: G06Q30/0251 ,  G06N3/04 ,  G06N3/08 ,  H04R1/32 ,  H04R3/12 ,  H04W4/029 ,  G06F1/3231 ,  H04W84/12

CPC classification number: G06Q30/0261 ,  G06N3/04 ,  G06N3/08 ,  G06Q30/0267 ,  H04R1/32 ,  H04R3/12 ,  H04W4/029 ,  G06F1/3231 ,  H04W84/12

Abstract: A location-aware electronic device is provided. The electronic device trains feature extraction layers, reconstruction layers, and classification layers. The training may be based on a reconstruction loss and/or a clustering loss. The electronic device processes a fingerprint to obtain an augmented fingerprint using randomization based on statistics of the fingerprint. The feature extraction layers provide feature data to both the reconstruction layers and the classification layers. The classification layers operate on the codes to obtain an estimated location label. An application processor operates on the estimated location label to provide a location-aware application result to a person.

公开(公告)号：US11847591B2

公开(公告)日：2023-12-19

申请号：US16953586

申请日：2020-11-20

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Di Wu ,  Yi Tian Xu ,  Xi Chen ,  Ju Wang ,  Michael Jenkin ,  Hang Li ,  Gregory Lewis Dudek ,  Xue Liu

IPC: G06Q10/04 ,  G06N20/20 ,  G06Q50/06

CPC classification number: G06Q10/04 ,  G06N20/20 ,  G06Q50/06

Abstract: A method, computer program, and computer system are provided for load forecasting. Datasets corresponding to source machine learning models and a target domain base model are identified. A set of forecasting models corresponding to the identified datasets are learned. An ensemble model is determined from the learned set of forecasting models based on gradient boosting. An available resource is allocated based on the ensemble model.

公开(公告)号：US11363416B2

公开(公告)日：2022-06-14

申请号：US16913493

申请日：2020-06-26

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Xi Chen ,  Hang Li ,  Chenyi Zhou ,  Xue Liu ,  Di Wu ,  Gregory L. Dudek

IPC: H04W4/029 ,  H04R1/32 ,  G06Q30/02 ,  G06N3/04 ,  G06N3/08 ,  H04R3/12 ,  G06F1/3231 ,  H04W84/12

Abstract: A location-aware electronic device is provided. The electronic device trains feature extraction layers, reconstruction layers, and classification layers. The training may be based on a reconstruction loss and/or a clustering loss. The electronic device processes a fingerprint to obtain an augmented fingerprint using randomization based on statistics of the fingerprint. The feature extraction layers provide feature data to both the reconstruction layers and the classification layers. The classification layers operate on the codes to obtain an estimated location label. An application processor operates on the estimated location label to provide a location-aware application result to a person.

公开(公告)号：US11696153B2

公开(公告)日：2023-07-04

申请号：US17391708

申请日：2021-08-02

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Xi Chen ,  Ju Wang ,  Hang Li ,  Yi Tian Xu ,  Di Wu ,  Xue Liu ,  Gregory Lewis Dudek ,  Taeseop Lee ,  Intaik Park

IPC: H04W16/18 ,  H04W16/22

CPC classification number: H04W16/22 ,  H04W16/18

Abstract: Transfer learning based on prediction determines a similarity between a source base station and a target base station. Importance of parameters is determined and training is adjusted to respect the importance of parameters. A lack of historical data is compensated by selecting a base station as source base station which has a larger amount of historical data.

公开(公告)号：US20220338019A1

公开(公告)日：2022-10-20

申请号：US17570767

申请日：2022-01-07

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Chengming HU ,  Xi CHEN ,  Ju WANG ,  Hang Li ,  Jikun KANG ,  Yi Tian XU ,  Xue LIU ,  Di WU ,  Seowoo JANG ,  Intaik PARK ,  Gregory Lewis DUDEK

IPC: H04W16/22 ,  H04W24/08 ,  H04W24/02 ,  H04L41/14 ,  H04L41/147 ,  H04L41/16 ,  G06N3/04

Abstract: A method is provided. The method includes receiving a first dimension set, extracting a first latent feature set from the first dimension set, training a first base predictor based on the first feature set, generating a second dimension set based on the first dimension set, the second dimension set having fewer dimensions than the first dimension set, extracting a second latent feature set from the second dimension set, training a second base predictor based on the second feature set, and generating a traffic prediction based on the first base predictor and the second base predictor.

公开(公告)号：US12052584B2

公开(公告)日：2024-07-30

申请号：US18199666

申请日：2023-05-19

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Xi Chen ,  Ju Wang ,  Hang Li ,  Yi Tian Xu ,  Di Wu ,  Xue Liu ,  Gregory Lewis Dudek ,  Taeseop Lee ,  Intaik Park

IPC: H04W16/18 ,  H04W16/22

CPC classification number: H04W16/22 ,  H04W16/18

Abstract: Transfer learning based on prediction determines a similarity between a source base station and a target base station. Importance of parameters is determined and training is adjusted to respect the importance of parameters. A lack of historical data is compensated by selecting a base station as source base station which has a larger amount of historical data.

公开(公告)号：US11461699B2

公开(公告)日：2022-10-04

申请号：US17008218

申请日：2020-08-31

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Hang Li ,  Xi Chen ,  Di Wu ,  Xue Liu

IPC: G06N20/00 ,  H04W4/02 ,  G01S5/02 ,  G06N5/04 ,  G01P13/00 ,  H04W84/12

Abstract: A method of location determination with a WiFi transceiver and an AI model includes jointly training, based on various losses: a feature extractor, a location classifier, and a domain classifier. The domain classifier may include a first domain classifier and a second domain classifier. The losses used for training tend to cause feature data from the feature extractor to cluster even if a physical object in an environment has moved after training is completed. Then, the location classifier is able to accurately estimate the position of, for example, a person in a room, even if a door or window has changed from open to close or close to open between the time of training and the time of estimating the person's position.

公开(公告)号：US20220295233A1

公开(公告)日：2022-09-15

申请号：US17829883

申请日：2022-06-01

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Xi Chen ,  Hang Li ,  Chenyi Zhou ,  Xue Liu ,  Di Wu ,  Gregory L. Dudek

IPC: H04W4/029 ,  H04R1/32 ,  G06Q30/02 ,  G06N3/04 ,  G06N3/08 ,  H04R3/12

Abstract: A location-aware electronic device is provided. The electronic device trains feature extraction layers, reconstruction layers, and classification layers. The training may be based on a reconstruction loss and/or a clustering loss. The electronic device processes a fingerprint to obtain an augmented fingerprint using randomization based on statistics of the fingerprint. The feature extraction layers provide feature data to both the reconstruction layers and the classification layers. The classification layers operate on the codes to obtain an estimated location label. An application processor operates on the estimated location label to provide a location-aware application result to a person.

公开(公告)号：US12218804B2

公开(公告)日：2025-02-04

申请号：US17957499

申请日：2022-09-30

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Hang Li ,  Ju Wang ,  Chengming Hu ,  Xi Chen ,  Xue Liu ,  Seowoo Jang ,  Gregory Lewis Dudek

IPC: H04L41/16 ,  H04L41/0816 ,  H04L41/082 ,  H04L41/147 ,  H04L43/0876 ,  H04W16/04 ,  H04W28/16

Abstract: A server for predicting a future traffic load of a base station is provided. The server may obtain a first prediction model based on traffic data collected from the base station for a first period of time, obtain a second prediction model based on traffic data collected from the same base station for a second period time, and also based on knowledge transferred from the first prediction model. Each of the first prediction model and the second prediction model may include an encoder module, a reconstruction module, and a prediction module which are connected to form two paths, an encoder-reconstruction path and an encoder-prediction path, to preserve more information of historic traffic data.