Yang Wang

Computer Vision and Pattern Recognition · with Jiao · 2021

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it; #20,068 of 21,575 by trust here, #18,782 by citations
• Generative Models — 30 citations into it
• Artificial Intelligence — 19 citations into it; #32,725 of 35,345 by trust here, #29,412 by citations
• Probabilistic & Bayesian Methods — 8 citations into it
• Signal Processing — 7 citations into it

Whom Yang Wang trusts overall

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

1. Diederik P. Kingma
2. Alex Krizhevsky
3. Yang Song
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Yann LeCun
7. Kaiming He
8. Laurent Dinh
9. Max Welling
10. Radford M. Neal

Who trusts Yang Wang overall

1. Stefano Peluchetti

Papers from Yang Wang's perspective

Ordered by how strongly the researchers Yang 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. Attention is All you Need (Neural Information Processing Systems)
4. Learning Multiple Layers of Features from Tiny Images
5. GENERATIVE ADVERSARIAL NETS
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Deep Generative Learning via Schrödinger Bridge (2021) — 148 citations