Dong Wang

Computer Vision and Pattern Recognition · with Deng · 2022

A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Multimodal Learning — 15 citations into it
• Artificial Intelligence — 14 citations into it
• Signal Processing — 12 citations into it

Whom Dong Wang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ruslan Salakhutdinov
4. Alex Krizhevsky
5. Andrew Zisserman
6. Yoshua Bengio
7. Diederik P. Kingma
8. Yann LeCun
9. Ross B. Girshick
10. Karen Simonyan

Papers from Dong Wang's perspective

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

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

Their papers

• Balanced Multimodal Learning via On-the-fly Gradient Modulation (2022) — 471 citations