Yan Wang

Artificial Intelligence · with Zhang · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 72 citations into it

Whom Yan Wang trusts overall

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

1. Erik Cambria
2. Soujanya Poria
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Björn Schuller
7. Kaiming He
8. Diederik P. Kingma
9. Yann LeCun
10. Ilya Sutskever

Papers from Yan Wang's perspective

Ordered by how strongly the researchers Yan 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances (2022) — 552 citations