MINWEI FENG

Person

YORKTOWN HEIGHTS, NY, US

People

Patents Grantslast 30 patents

Information Patent Grant
Parameter data sharing for multi-learner training of machine learni...
- Patent number 11,748,666
- Issue date Sep 5, 2023
- International Business Machines Corporation
- Minwei Feng
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Storage controller acceleration for neural network training and inf...
- Patent number 11,138,494
- Issue date Oct 5, 2021
- International Business Machines Corporation
- Minwei Feng
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Method for visualizing neural network models
- Patent number 10,936,938
- Issue date Mar 2, 2021
- International Business Machines Corporation
- Minwei Feng
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Hybrid aggregation for deep learning neural networks
- Patent number 10,783,437
- Issue date Sep 22, 2020
- International Business Machines Corporation
- Minwei Feng
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Forecasting solar power output
- Patent number 10,732,319
- Issue date Aug 4, 2020
- International Business Machines Corporation
- Minwei Feng
- G05 - CONTROLLING REGULATING
Information Patent Grant
Local multicast in single-host multi-GPU machine for distributed de...
- Patent number 10,614,356
- Issue date Apr 7, 2020
- International Business Machines Corporation
- Minwei Feng
- G06 - COMPUTING CALCULATING COUNTING

Patents Applicationslast 30 patents

Information Patent Application
METHOD FOR VISUALIZING NEURAL NETWORK MODELS
- Publication number 20190205728
- Publication date Jul 4, 2019
- International Business Machines Corporation
- Minwei Feng
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
FORECASTING SOLAR POWER OUTPUT
- Publication number 20190064392
- Publication date Feb 28, 2019
- International Business Machines Corporation
- MINWEI FENG
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
STORAGE CONTROLLER ACCELARATION FOR NEURAL NETWORK TRAINING AND INF...
- Publication number 20180322383
- Publication date Nov 8, 2018
- International Business Machines Corporation
- Minwei Feng
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
LOCAL MULTICAST IN SINGLE-HOST MULTI-GPU MACHINE FOR DISTRIBUTED DE...
- Publication number 20180307972
- Publication date Oct 25, 2018
- International Business Machines Corporation
- Minwei Feng
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
HYBRID AGGREGATION FOR DEEP LEARNING NEURAL NETWORKS
- Publication number 20180253646
- Publication date Sep 6, 2018
- International Business Machines Corporation
- Minwei Feng
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
SOLAR POWER FORECASTING WITH VOLUMETRIC CONVOLUTIONAL NEURAL NETWORK
- Publication number 20180218254
- Publication date Aug 2, 2018
- International Business Machines Corporation
- Minwei Feng
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
PARAMETER DATA SHARING FOR MULTI-LEARNER TRAINING OF MACHINE LEARNI...
- Publication number 20180129969
- Publication date May 10, 2018
- International Business Machines Corporation
- MINWEI FENG
- G06 - COMPUTING CALCULATING COUNTING

MINWEI FENG

Person

Patents Grantslast 30 patents

Parameter data sharing for multi-learner training of machine learni...

Storage controller acceleration for neural network training and inf...

Method for visualizing neural network models

Hybrid aggregation for deep learning neural networks

Forecasting solar power output

Local multicast in single-host multi-GPU machine for distributed de...

Patents Applicationslast 30 patents

METHOD FOR VISUALIZING NEURAL NETWORK MODELS

FORECASTING SOLAR POWER OUTPUT

STORAGE CONTROLLER ACCELARATION FOR NEURAL NETWORK TRAINING AND INF...

LOCAL MULTICAST IN SINGLE-HOST MULTI-GPU MACHINE FOR DISTRIBUTED DE...

HYBRID AGGREGATION FOR DEEP LEARNING NEURAL NETWORKS

SOLAR POWER FORECASTING WITH VOLUMETRIC CONVOLUTIONAL NEURAL NETWORK

PARAMETER DATA SHARING FOR MULTI-LEARNER TRAINING OF MACHINE LEARNI...