Yue Ling Li

20220374484, Nov 24, 2022

Oct 1, 2019

17/765774

- SAN FRANCISGO CA, US
Tatiana Korolevskaya - Foster City CA, US
Yue Li - Foster City CA, US
Jerry Wald - San Francisco CA, US

G06F 16/9535
G06F 16/29
G06Q 20/40

A system receives transaction data from payment devices of a user. The system generates a transaction profile of the user based on the received transaction data. Based on the transactional parameters, the system determines a community of the user. The system further receives one or more predefined sub-groups of the community from a database. The one or more sub-groups define subsets of activities, geographic locations, and times. The system identifies one or more rules setting limits on the transactional parameters. Absent receiving additional user interactions, the system generates a suggested community for the user as a function of the one or more rules, the activities, geographic locations, and times of the one or more sub-groups of the community. The system generates a suggested activity to the user based on the suggested community.

20220358242, Nov 10, 2022

Jul 29, 2022

17/864287

- San Francisco CA, US
John F. Sheets - San Francisco CA, US
Mark Nelsen - Oakland CA, US
Yue Li - San Mateo CA, US
Craig O'Connell - San Mateo CA, US

Visa International Service Association - San Francisco CA

G06F 21/62
G06F 21/45
H04L 9/40
H04W 12/02
H04W 12/06
H04W 12/67

Client devices can send access request messages to resource management computers to request access to a resource. A data security hub can provide centralized routing between different client devices, resource management computers, and authentication data processing servers. The data security hub can reduce the risk of sensitive authentication information from leaking (e.g., due to a breach) by limiting the amount or types of authentication information distributed to the data processing servers. The data security hub can limited the authentication information being distributed based on its sensitivity, the trust level of the client device, and the security level of the requested resource. The data security hub can also evaluate the client devices and data processing servers to identify security breaches and can cancel or reroute access requests accordingly. Thus, the data security hub can maintain resource security while better preserving the privacy of the client device's authentication information.

20220239944, Jul 28, 2022

Jan 14, 2022

17/576487

- Grand Cayman, KY
Li Zhang - Los Angeles CA, US
Yue Li - Los Angeles CA, US
Kai Zhang - Los Angeles CA, US

H04N 19/587
H04N 19/172
H04N 19/147
H04N 19/31
H04N 19/169
H04N 19/177
H04N 19/167
H04N 19/105
H04N 19/124
H04N 19/132
H04N 19/109
G06N 3/04
G06N 3/08

A method of video processing includes determining a target bitrate for a current video unit of a video that is based on a rate distortion function in which a rate portion is weighted using lambda, wherein lambda is a rational number and wherein lambda is an adaptively adjusted for each video unit of the video and performing a conversion between the current video unit and a bitstream of the video.

20230108757, Apr 6, 2023

Oct 3, 2022

17/937760

- Milpitas CA, US
Yue Li - Fremont CA, US
Yong Tian - Cupertino CA, US
Jingchao Sun - San Jose CA, US
Ashley Tung - Palo Alto CA, US
Haiyan Wang - Fremont CA, US

G06F 11/14

To address loss of access to computing instances in a cloud computing environment, techniques are introduced for moving an application between computing instances in the cloud computing environment. A computing service captures baseline or delta snapshots of the state of the application running on a first computing instance. A baseline snapshot is indicative of the full state of the application, and a delta snapshot is indicative of changes in the state since a most recent snapshot was captured. Responsive to receiving an indication that the first computing instance is to stop servicing the application, the computing service stops the application from running on the first computing instance and moves data from the captured snapshots to a second computing instance. The computing service resume execution of the application on the second computing instances and captures snapshots of the state of the application at the second computing instance.

20230109310, Apr 6, 2023

Nov 29, 2022

18/059983

- Milpitas CA, US
Yue Li - Fremont CA, US
Jun Gan - Milpitas CA, US
Chenggong Fan - Milpitas CA, US
Robert W. Beauchamp - Milpitas CA, US

G06F 11/14
G06F 3/06
G06F 9/46

A memory image can be captured by generating metadata indicative of a state of volatile memory and/or byte-addressable PMEM at a particular time during execution of a process by an application. This memory image can be persisted without copying the in-memory data into a separate persistent storage by storing the metadata and safekeeping the in-memory data in the volatile memory and/or PMEM. Metadata associated with multiple time-evolved memory images captured can be stored and managed using a linked index scheme. A linked index scheme can be configured in various ways including a full index and a difference-only index. The memory images can be used for various purposes including suspending and later resuming execution of the application process, restoring a failed application to a previous point in time, cloning an application, and recovering an application process to a most recent state in an application log.

20210390461, Dec 16, 2021

Aug 30, 2021

17/460919

- San Francisco CA, US
Yue Li - San Mateo CA, US
Tatiana Korolevskaya - Mountain View CA, US
Craig O'Connell - San Mateo CA, US

G06N 20/00
G06N 3/08
G06N 3/04
G06N 7/00
G06F 16/35
G06K 9/00
G06N 5/00
G06N 5/02
G06K 9/62
G06F 30/327

Embodiments are directed to a method for accelerating machine learning using a plurality of graphics processing units (GPUs), involving receiving data for a graph to generate a plurality of random samples, and distributing the random samples across a plurality of GPUs. The method may comprise determining a plurality of communities from the random samples using unsupervised learning performed by each GPU. A plurality of sample groups may be generated from the communities and may be distributed across the GPUs, wherein each GPU merges communities in each sample group by converging to an optimal degree of similarity. In addition, the method may also comprise generating from the merged communities a plurality of subgraphs, dividing each sub-graph into a plurality of overlapping clusters, distributing the plurality of overlapping clusters across the plurality of GPUs, and scoring each cluster in the plurality of overlapping clusters to train an AI model.

20210342179, Nov 4, 2021

Oct 9, 2020

17/067370

- Milpitas CA, US
Yue Li - Fremont CA, US
Jun Gan - Milpitas CA, US
Chenggong Fan - Milpitas CA, US
Robert W. Beauchamp - Milpitas CA, US
Dahong Li - Concord CA, US

G06F 9/46
G06F 3/06

A memory image can be captured by generating metadata indicative of a state of volatile memory and/or byte-addressable PMEM at a particular time during execution of a process by an application. This memory image can be persisted without copying the in-memory data into a separate persistent storage by storing the metadata and safekeeping the in-memory data in the volatile memory and/or PMEM. Metadata associated with multiple time-evolved memory images captured can be stored and managed using a linked index scheme. A linked index scheme can be configured in various ways including a full index and a difference-only index. The memory images can be used for various purposes including suspending and later resuming execution of the application process, restoring a failed application to a previous point in time, cloning an application, and recovering an application process to a most recent state in an application log.

20210342180, Nov 4, 2021

Oct 9, 2020

17/067486

- Milpitas CA, US
Yue Li - Fremont CA, US
Jun Gan - Milpitas CA, US
Chenggong Fan - Milpitas CA, US
Robert W. Beauchamp - Milpitas CA, US
Dahong Li - Concord CA, US

G06F 9/46
G06F 3/06

A memory image can be captured by generating metadata indicative of a state of volatile memory and/or byte-addressable PMEM at a particular time during execution of a process by an application. This memory image can be persisted without copying the in-memory data into a separate persistent storage by storing the metadata and safekeeping the in-memory data in the volatile memory and/or PMEM. Metadata associated with multiple time-evolved memory images captured can be stored and managed using a linked index scheme. A linked index scheme can be configured in various ways including a full index and a difference-only index. The memory images can be used for various purposes including suspending and later resuming execution of the application process, restoring a failed application to a previous point in time, cloning an application, and recovering an application process to a most recent state in an application log.