Boqing GONG

Person

Bellevue, WA, US

People

Patents Grantslast 30 patents

Information Patent Grant
End-to-end video captioning with multi-task reinforcement learning
- Patent number 10,885,345
- Issue date Jan 5, 2021
- Tencent America LLC
- Boqing Gong
- G06 - COMPUTING CALCULATING COUNTING

Patents Applicationslast 30 patents

Information Patent Application
HIGHLY EFFICIENT MODEL FOR VIDEO QUALITY ASSESSMENT
- Publication number 20240422369
- Publication date Dec 19, 2024
- Google LLC
- Yilin Wang
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
Improved Two-Stage Machine Learning for Imbalanced Datasets
- Publication number 20240320493
- Publication date Sep 26, 2024
- Google LLC
- Ahmet Iscen
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
NEURAL NETWORKS WITH ADAPTIVE STANDARDIZATION AND RESCALING
- Publication number 20240232572
- Publication date Jul 11, 2024
- Qifei WANG
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
Personalized Federated Learning Via Sharable Basis Models
- Publication number 20240119307
- Publication date Apr 11, 2024
- Google LLC
- Hong-You Chen
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
SEMANTIC SEGMENTATION NEURAL NETWORK FOR POINT CLOUDS
- Publication number 20240096076
- Publication date Mar 21, 2024
- WAYMO LLC
- Yin Zhou
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
Training Robust Neural Networks Via Smooth Activation Functions
- Publication number 20210383237
- Publication date Dec 9, 2021
- Google LLC
- Mingxing Tan
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
END-TO-END VIDEO CAPTIONING WITH MULTI-TASK REINFORCEMENT LEARNING
- Publication number 20200342236
- Publication date Oct 29, 2020
- Tencent America LLC
- Boqing GONG
- G06 - COMPUTING CALCULATING COUNTING

Boqing GONG

Person

Patents Grantslast 30 patents

End-to-end video captioning with multi-task reinforcement learning

Patents Applicationslast 30 patents

HIGHLY EFFICIENT MODEL FOR VIDEO QUALITY ASSESSMENT

Improved Two-Stage Machine Learning for Imbalanced Datasets

NEURAL NETWORKS WITH ADAPTIVE STANDARDIZATION AND RESCALING

Personalized Federated Learning Via Sharable Basis Models

SEMANTIC SEGMENTATION NEURAL NETWORK FOR POINT CLOUDS

Training Robust Neural Networks Via Smooth Activation Functions

END-TO-END VIDEO CAPTIONING WITH MULTI-TASK REINFORCEMENT LEARNING