Rex Ying

Person

Stanford, CA, US

People

Patents Grantslast 30 patents

Information Patent Grant
Generating neighborhood convolutions within a large network
- Patent number 11,922,308
- Issue date Mar 5, 2024
- Pinterest, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Efficient convolutional network for recommender systems
- Patent number 11,797,838
- Issue date Oct 24, 2023
- Pinterest, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Machine learning model training
- Patent number 11,783,175
- Issue date Oct 10, 2023
- Pinterest, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Efficient processing of neighborhood data
- Patent number 11,232,152
- Issue date Jan 25, 2022
- Amazon Technologies, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Efficient generation of embedding vectors of nodes in a corpus graph
- Patent number 11,227,012
- Issue date Jan 18, 2022
- Amazon Technologies, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Generating neighborhood convolutions within a large network
- Patent number 11,227,013
- Issue date Jan 18, 2022
- Amazon Technologies, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Generating neighborhood convolutions according to relative importance
- Patent number 11,227,014
- Issue date Jan 18, 2022
- Amazon Technologies, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING

Patents Applicationslast 30 patents

Information Patent Application
AGGREGATED EMBEDDINGS FOR A CORPUS GRAPH
- Publication number 20240152754
- Publication date May 9, 2024
- Pinterest, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
Generating Neighborhood Convolutions Within a Large Network
- Publication number 20220318307
- Publication date Oct 6, 2022
- Pinterest, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
EFFICIENT GENERATION OF EMBEDDING VECTORS OF NODES IN A CORPUS GRAPH
- Publication number 20190286655
- Publication date Sep 19, 2019
- Pinterest, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
GENERATING NEIGHBORHOOD CONVOLUTIONS ACCORDING TO RELATIVE IMPORTANCE
- Publication number 20190286659
- Publication date Sep 19, 2019
- Pinterest, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
MACHINE LEARNING MODEL TRAINING
- Publication number 20190286943
- Publication date Sep 19, 2019
- Pinterest, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
EFFICIENT PROCESSING OF NEIGHBORHOOD DATA
- Publication number 20190286754
- Publication date Sep 19, 2019
- Pinterest, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
EFFICIENT CONVOLUTIONAL NETWORK FOR RECOMMENDER SYSTEMS
- Publication number 20190286752
- Publication date Sep 19, 2019
- Pinterest, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
GENERATING NEIGHBORHOOD CONVOLUTIONS WITHIN A LARGE NETWORK
- Publication number 20190286658
- Publication date Sep 19, 2019
- Pinterest, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING

Person

Patents Grantslast 30 patents

Generating neighborhood convolutions within a large network

Efficient convolutional network for recommender systems

Machine learning model training

Efficient processing of neighborhood data

Efficient generation of embedding vectors of nodes in a corpus graph

Generating neighborhood convolutions within a large network

Generating neighborhood convolutions according to relative importance

Patents Applicationslast 30 patents

AGGREGATED EMBEDDINGS FOR A CORPUS GRAPH

Generating Neighborhood Convolutions Within a Large Network

EFFICIENT GENERATION OF EMBEDDING VECTORS OF NODES IN A CORPUS GRAPH

GENERATING NEIGHBORHOOD CONVOLUTIONS ACCORDING TO RELATIVE IMPORTANCE

MACHINE LEARNING MODEL TRAINING

EFFICIENT PROCESSING OF NEIGHBORHOOD DATA

EFFICIENT CONVOLUTIONAL NETWORK FOR RECOMMENDER SYSTEMS

GENERATING NEIGHBORHOOD CONVOLUTIONS WITHIN A LARGE NETWORK