Ting Bai

Media Technology · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Media Technology — 27 citations into it
• Atmospheric Science — 16 citations into it
• Global and Planetary Change — 6 citations into it

Whom Ting Bai trusts overall

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

1. Qihao Weng
2. Yann LeCun
3. Francesca Bovolo
4. Lorenzo Bruzzone
5. Lichao Mou
6. Yoshua Bengio
7. Geoffrey E. Hinton
8. Maoguo Gong
9. Haobo Lyu
10. Sudipan Saha

Papers from Ting Bai's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Deep learning for change detection in remote sensing: a review (2022) — 325 citations