Dong Wang

Artificial Intelligence · with Carin · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 66 citations into it
• Computer Vision and Pattern Recognition — 62 citations into it
• Probabilistic & Bayesian Methods — 25 citations into it

Whom Dong Wang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Kaiming He
5. Karen Simonyan
6. Christian Szegedy
7. Yann LeCun
8. Diederik P. Kingma
9. Ilya Sutskever
10. Ross B. Girshick

Who trusts Dong Wang overall

1. Rui Wang

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

Their papers

• Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models (2020) — 17 citations
• On Fenchel Mini-Max Learning (2019) — 16 citations