Jing Gao

Artificial Intelligence · with Song · 2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it

Whom Jing Gao trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Michael R. Chernick (in Artificial Intelligence)

Papers from Jing Gao's perspective

Ordered by how strongly the researchers Jing Gao trusts endorse each paper. Same corpus, a different order for every researcher.

1. Et al
2. WaveNet: A Generative Model for Raw Audio
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
8. Randaugment: Practical automated data augmentation with a reduced search space
9. Attention is All you Need (Neural Information Processing Systems)
10. Gradient-based learning applied to document recognition

Their papers

• Time Series Data Augmentation for Deep Learning: A Survey (2020) — 844 citations